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@ -14,4 +14,4 @@ julia> DataFrame(a=[1,2],b=[3,4])</code></pre><p>You should get an error or a
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BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
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DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
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MPI = "da04e1cc-30fd-572f-bb4f-1f8673147195"</code></pre><p>Copy the contents of previous code block into a file called <code>Project.toml</code> and place it in an empty folder named <code>newproject</code>. It is important that the file is named <code>Project.toml</code>. You can create a new folder from the REPL with</p><pre><code class="language-julia hljs">julia> mkdir("newproject")</code></pre><p>To install all the packages registered in this file you need to activate the folder containing your <code>Project.toml</code> file</p><pre><code class="language-julia hljs">(@v1.8) pkg> activate newproject</code></pre><p>and then <em>instantiating</em> it</p><pre><code class="language-julia hljs">(newproject) pkg> instantiate</code></pre><p>The instantiate command will download and install all listed packages and their dependencies in just one click.</p><h3 id="Getting-help-in-package-mode"><a class="docs-heading-anchor" href="#Getting-help-in-package-mode">Getting help in package mode</a><a id="Getting-help-in-package-mode-1"></a><a class="docs-heading-anchor-permalink" href="#Getting-help-in-package-mode" title="Permalink"></a></h3><p>You can get help about a particular package operator by writing <code>help</code> in front of it</p><pre><code class="language-julia hljs">(@v1.8) pkg> help activate</code></pre><p>You can get an overview of all package commands by typing <code>help</code> alone</p><pre><code class="language-julia hljs">(@v1.8) pkg> help</code></pre><h3 id="Package-operations-in-Julia-code"><a class="docs-heading-anchor" href="#Package-operations-in-Julia-code">Package operations in Julia code</a><a id="Package-operations-in-Julia-code-1"></a><a class="docs-heading-anchor-permalink" href="#Package-operations-in-Julia-code" title="Permalink"></a></h3><p>In some situations it is required to use package commands in Julia code, e.g., to automatize installation and deployment of Julia applications. This can be done using the <code>Pkg</code> package. For instance</p><pre><code class="language-julia hljs">julia> using Pkg
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julia> Pkg.status()</code></pre><p>is equivalent to calling <code>status</code> in package mode.</p><pre><code class="language-julia hljs">(@v1.8) pkg> status</code></pre><h2 id="Conclusion"><a class="docs-heading-anchor" href="#Conclusion">Conclusion</a><a id="Conclusion-1"></a><a class="docs-heading-anchor-permalink" href="#Conclusion" title="Permalink"></a></h2><p>We have learned the basics of how to work with Julia. If you want to further dig into the topics we have covered here, you can take a look at the following links:</p><ul><li><a href="https://docs.julialang.org/en/v1/manual/getting-started/">Julia Manual</a></li><li><a href="https://pkgdocs.julialang.org/v1/getting-started/">Package manager</a></li></ul></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../">« Home</a><a class="docs-footer-nextpage" href="../notebooks/julia_basics/">Julia Basics »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 10:01">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
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julia> Pkg.status()</code></pre><p>is equivalent to calling <code>status</code> in package mode.</p><pre><code class="language-julia hljs">(@v1.8) pkg> status</code></pre><h2 id="Conclusion"><a class="docs-heading-anchor" href="#Conclusion">Conclusion</a><a id="Conclusion-1"></a><a class="docs-heading-anchor-permalink" href="#Conclusion" title="Permalink"></a></h2><p>We have learned the basics of how to work with Julia. If you want to further dig into the topics we have covered here, you can take a look at the following links:</p><ul><li><a href="https://docs.julialang.org/en/v1/manual/getting-started/">Julia Manual</a></li><li><a href="https://pkgdocs.julialang.org/v1/getting-started/">Package manager</a></li></ul></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../">« Home</a><a class="docs-footer-nextpage" href="../notebooks/julia_basics/">Julia Basics »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 14:09">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
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@ -7776,6 +7776,209 @@ a.anchor-link {
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</div>
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</div>
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</div>
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<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=19641daf">
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<div class="jp-Cell-inputWrapper" tabindex="0">
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<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
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</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
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<h2 id="TSP-Exercise:-Measure-search-overhead">TSP Exercise: Measure search overhead<a class="anchor-link" href="#TSP-Exercise:-Measure-search-overhead">¶</a></h2>
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</div>
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</div>
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</div>
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</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=f00557a0">
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<div class="jp-Cell-inputWrapper" tabindex="0">
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<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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</div>
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<div class="jp-InputArea jp-Cell-inputArea">
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
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<div class="cm-editor cm-s-jupyter">
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<div class="highlight hl-julia"><pre><span></span><span class="c">## TSP serial </span>
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<span class="k">function</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">connections</span><span class="p">)</span>
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<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
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<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
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<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
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<span class="w"> </span><span class="n">min_path</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="w"> </span><span class="n">num_cities</span><span class="p">)</span>
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<span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span>
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<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">)</span>
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<span class="w"> </span><span class="c"># Collect search time </span>
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<span class="w"> </span><span class="n">search_time</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="n">min_path</span><span class="p">,</span><span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial_impl</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">current_distance</span><span class="p">,</span><span class="w"> </span><span class="n">min_path</span><span class="p">,</span><span class="w"> </span><span class="n">min_distance</span><span class="p">)</span>
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<span class="w"> </span><span class="p">(;</span><span class="n">path</span><span class="o">=</span><span class="n">min_path</span><span class="p">,</span><span class="n">distance</span><span class="o">=</span><span class="n">min_distance</span><span class="p">,</span><span class="w"> </span><span class="n">search_time</span><span class="p">)</span>
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<span class="k">end</span>
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</pre></div>
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</div>
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</div>
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</div>
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</div>
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</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=30784da2">
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<div class="jp-Cell-inputWrapper" tabindex="0">
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<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
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</div>
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<div class="jp-InputArea jp-Cell-inputArea">
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<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
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<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
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<div class="cm-editor cm-s-jupyter">
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<div class="highlight hl-julia"><pre><span></span><span class="c">## TSP distributed</span>
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<span class="nd">@everywhere</span><span class="w"> </span><span class="k">function</span><span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">wait_time</span><span class="p">,</span><span class="w"> </span><span class="n">connections</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">current_distance</span><span class="p">,</span><span class="n">min_dist_chnl</span><span class="p">,</span><span class="w"> </span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">ftr_result</span><span class="p">)</span>
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<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">connections</span><span class="p">)</span>
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<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">num_cities</span>
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<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">min_dist_chnl</span><span class="p">)</span>
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<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o"><</span><span class="w"> </span><span class="n">min_distance</span>
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<span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">min_dist_chnl</span><span class="p">)</span>
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<span class="w"> </span><span class="c"># Collect wait time to substract from overall search time </span>
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<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">ftr_result</span><span class="w"> </span><span class="o">!==</span><span class="w"> </span><span class="nb">nothing</span>
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<span class="w"> </span><span class="n">wait_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="k">begin</span>
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<span class="w"> </span><span class="n">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">ftr_result</span><span class="p">)</span>
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<span class="w"> </span><span class="n">result</span><span class="o">.</span><span class="n">path</span><span class="w"> </span><span class="o">.=</span><span class="w"> </span><span class="n">path</span>
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<span class="w"> </span><span class="n">result</span><span class="o">.</span><span class="n">min_distance_ref</span><span class="p">[]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">current_distance</span>
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<span class="w"> </span><span class="k">end</span><span class="w"> </span><span class="o">|></span><span class="w"> </span><span class="n">wait</span>
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<span class="w"> </span><span class="k">end</span>
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<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">min_dist_chnl</span><span class="p">,</span><span class="w"> </span><span class="n">current_distance</span><span class="p">)</span>
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<span class="w"> </span><span class="k">end</span>
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<span class="w"> </span><span class="k">elseif</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o"><=</span><span class="w"> </span><span class="n">max_hops</span>
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<span class="w"> </span><span class="n">current_city</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span>
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<span class="w"> </span><span class="n">next_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="mi">1</span>
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<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">distance_increment</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">connections</span><span class="p">[</span><span class="n">current_city</span><span class="p">]</span>
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<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="o">!</span><span class="n">visited</span><span class="p">(</span><span class="n">next_city</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">)</span>
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<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">next_hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">next_city</span>
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<span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">distance_increment</span>
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<span class="w"> </span><span class="c"># Collect wait time because fetch may block</span>
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<span class="w"> </span><span class="n">wait_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">min_dist_chnl</span><span class="p">)</span>
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<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">next_distance</span><span class="w"> </span><span class="o"><</span><span class="w"> </span><span class="n">min_distance</span>
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<span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">wait_time</span><span class="p">,</span><span class="w"> </span><span class="n">connections</span><span class="p">,</span><span class="n">next_hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">next_distance</span><span class="p">,</span><span class="n">min_dist_chnl</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="n">ftr_result</span><span class="p">)</span>
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<span class="w"> </span><span class="k">end</span>
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<span class="w"> </span><span class="k">end</span>
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<span class="w"> </span><span class="k">end</span><span class="w"> </span>
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<span class="w"> </span><span class="k">else</span>
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<span class="w"> </span><span class="c"># Collect communication time and add to wait time</span>
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<span class="w"> </span><span class="n">wait_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">jobs_chnl</span><span class="w"> </span><span class="o">!==</span><span class="w"> </span><span class="nb">nothing</span><span class="w"> </span>
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<span class="w"> </span><span class="n">path_copy</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">copy</span><span class="p">(</span><span class="n">path</span><span class="p">)</span><span class="w"> </span>
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<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">,(;</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="o">=</span><span class="n">path_copy</span><span class="p">,</span><span class="n">current_distance</span><span class="p">))</span>
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<span class="w"> </span><span class="k">end</span>
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<span class="w"> </span><span class="k">end</span>
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<span class="w"> </span><span class="c"># Return wait time</span>
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<span class="w"> </span><span class="n">wait_time</span>
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<span class="k">end</span>
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<span class="k">function</span><span class="w"> </span><span class="n">tsp_dist</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="n">city</span><span class="p">)</span>
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<span class="w"> </span><span class="n">max_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">2</span>
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<span class="w"> </span><span class="n">num_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">connections</span><span class="p">)</span>
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<span class="w"> </span><span class="n">path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="n">num_cities</span><span class="p">)</span>
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<span class="w"> </span><span class="n">result_path</span><span class="o">=</span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="w"> </span><span class="n">num_cities</span><span class="p">)</span>
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<span class="w"> </span><span class="n">wait_time</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span>
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<span class="w"> </span><span class="n">search_time</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span>
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<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span>
|
||||
<span class="w"> </span><span class="n">path</span><span class="p">[</span><span class="n">hops</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">city</span>
|
||||
<span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span>
|
||||
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="n">jobs_chnl</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">RemoteChannel</span><span class="p">(()</span><span class="o">-></span><span class="kt">Channel</span><span class="p">{</span><span class="kt">Any</span><span class="p">}(</span><span class="mi">10</span><span class="p">))</span>
|
||||
<span class="w"> </span><span class="n">min_dist_chnl</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">RemoteChannel</span><span class="p">(()</span><span class="o">-></span><span class="kt">Channel</span><span class="p">{</span><span class="kt">Int</span><span class="p">}(</span><span class="mi">1</span><span class="p">))</span>
|
||||
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">min_dist_chnl</span><span class="p">,</span><span class="w"> </span><span class="n">min_distance</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="n">ftr_result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="p">(;</span><span class="n">path</span><span class="o">=</span><span class="n">result_path</span><span class="p">,</span><span class="n">min_distance_ref</span><span class="o">=</span><span class="kt">Ref</span><span class="p">(</span><span class="n">min_distance</span><span class="p">))</span>
|
||||
<span class="w"> </span><span class="nd">@async</span><span class="w"> </span><span class="k">begin</span>
|
||||
<span class="w"> </span><span class="c"># Collect search time from master process</span>
|
||||
<span class="w"> </span><span class="n">search_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="n">wait_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">wait_time</span><span class="p">,</span><span class="n">connections</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">current_distance</span><span class="p">,</span><span class="n">min_dist_chnl</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="nb">nothing</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span>
|
||||
<span class="w"> </span><span class="n">put!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">,</span><span class="nb">nothing</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="nd">@sync</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">workers</span><span class="p">()</span>
|
||||
<span class="w"> </span><span class="nd">@spawnat</span><span class="w"> </span><span class="n">w</span><span class="w"> </span><span class="k">begin</span>
|
||||
<span class="w"> </span><span class="n">path</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">zeros</span><span class="p">(</span><span class="kt">Int</span><span class="p">,</span><span class="w"> </span><span class="n">num_cities</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="n">max_hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">typemax</span><span class="p">(</span><span class="kt">Int</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">while</span><span class="w"> </span><span class="nb">true</span>
|
||||
<span class="w"> </span><span class="n">job</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">take!</span><span class="p">(</span><span class="n">jobs_chnl</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">job</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="nb">nothing</span>
|
||||
<span class="w"> </span><span class="k">break</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="n">hops</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">job</span><span class="o">.</span><span class="n">hops</span>
|
||||
<span class="w"> </span><span class="n">path</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">job</span><span class="o">.</span><span class="n">path</span><span class="w"> </span>
|
||||
<span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">job</span><span class="o">.</span><span class="n">current_distance</span>
|
||||
<span class="w"> </span><span class="n">min_distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">min_dist_chnl</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="n">current_distance</span><span class="w"> </span><span class="o"><</span><span class="w"> </span><span class="n">min_distance</span>
|
||||
<span class="w"> </span><span class="c"># Collect search time from worker processes </span>
|
||||
<span class="w"> </span><span class="n">search_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="nd">@elapsed</span><span class="w"> </span><span class="n">wait_time</span><span class="w"> </span><span class="o">+=</span><span class="w"> </span><span class="n">tsp_dist_impl</span><span class="p">(</span><span class="n">wait_time</span><span class="p">,</span><span class="n">connections</span><span class="p">,</span><span class="n">hops</span><span class="p">,</span><span class="n">path</span><span class="p">,</span><span class="n">current_distance</span><span class="p">,</span><span class="n">min_dist_chnl</span><span class="p">,</span><span class="n">max_hops</span><span class="p">,</span><span class="nb">nothing</span><span class="p">,</span><span class="n">ftr_result</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">end</span><span class="w"> </span>
|
||||
<span class="w"> </span><span class="n">result</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">fetch</span><span class="p">(</span><span class="n">ftr_result</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="p">(;</span><span class="n">path</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">result</span><span class="o">.</span><span class="n">path</span><span class="p">,</span><span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">result</span><span class="o">.</span><span class="n">min_distance_ref</span><span class="p">[],</span><span class="w"> </span><span class="n">search_time</span><span class="p">,</span><span class="w"> </span><span class="n">wait_time</span><span class="p">)</span>
|
||||
<span class="k">end</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs" id="cell-id=694de934">
|
||||
<div class="jp-Cell-inputWrapper" tabindex="0">
|
||||
<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
|
||||
</div>
|
||||
<div class="jp-InputArea jp-Cell-inputArea">
|
||||
<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
|
||||
<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
|
||||
<div class="cm-editor cm-s-jupyter">
|
||||
<div class="highlight hl-julia"><pre><span></span><span class="k">using</span><span class="w"> </span><span class="n">Distributed</span>
|
||||
<span class="k">using</span><span class="w"> </span><span class="n">RandomMatrix</span>
|
||||
<span class="k">using</span><span class="w"> </span><span class="n">Plots</span>
|
||||
|
||||
<span class="k">function</span><span class="w"> </span><span class="n">generate_rand_connections</span><span class="p">(</span><span class="n">city_range</span><span class="p">,</span><span class="w"> </span><span class="n">distance_range</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="c"># generate random connections matrix </span>
|
||||
<span class="w"> </span><span class="n">n_cities</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">rand</span><span class="p">(</span><span class="n">city_range</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="n">matrix</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">randTriangular</span><span class="p">(</span><span class="n">distance_range</span><span class="p">,</span><span class="w"> </span><span class="n">n_cities</span><span class="p">;</span><span class="w"> </span><span class="n">Diag</span><span class="o">=</span><span class="nb">false</span><span class="p">)</span>
|
||||
|
||||
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="kt">Array</span><span class="p">{</span><span class="kt">Array</span><span class="p">{</span><span class="kt">Tuple</span><span class="p">{</span><span class="kt">Int64</span><span class="p">,</span><span class="kt">Int64</span><span class="p">},</span><span class="mi">1</span><span class="p">},</span><span class="mi">1</span><span class="p">}(</span><span class="nb">undef</span><span class="p">,</span><span class="w"> </span><span class="n">n_cities</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">n_cities</span>
|
||||
<span class="w"> </span><span class="n">connections</span><span class="p">[</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="kt">Array</span><span class="p">{</span><span class="kt">Tuple</span><span class="p">{</span><span class="kt">Int64</span><span class="p">,</span><span class="kt">Int64</span><span class="p">},</span><span class="mi">1</span><span class="p">}(</span><span class="nb">undef</span><span class="p">,</span><span class="w"> </span><span class="n">n_cities</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">i</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">n_cities</span>
|
||||
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">j</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">i</span><span class="o">:</span><span class="n">n_cities</span>
|
||||
<span class="w"> </span><span class="n">distance</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">matrix</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="n">j</span><span class="p">]</span>
|
||||
<span class="w"> </span><span class="n">connections</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="n">j</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">j</span><span class="p">,</span><span class="n">distance</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="n">connections</span><span class="p">[</span><span class="n">j</span><span class="p">][</span><span class="n">i</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="n">distance</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="n">connections</span>
|
||||
<span class="k">end</span>
|
||||
|
||||
<span class="c"># Run once so compile times are not measured</span>
|
||||
<span class="n">distance_range</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="mi">100</span>
|
||||
<span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">generate_rand_connections</span><span class="p">(</span><span class="mi">4</span><span class="o">:</span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="n">distance_range</span><span class="p">)</span>
|
||||
<span class="n">tsp_dist</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="n">tsp_serial</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
|
||||
|
||||
<span class="c"># Measure runtimes of serial and parallel algorithm</span>
|
||||
<span class="n">n_it</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">5</span>
|
||||
<span class="n">city_ranges</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span><span class="mi">4</span><span class="o">:</span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="mi">6</span><span class="o">:</span><span class="mi">6</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="o">:</span><span class="mi">8</span><span class="p">,</span><span class="w"> </span><span class="mi">10</span><span class="o">:</span><span class="mi">10</span><span class="p">]</span>
|
||||
<span class="n">search_overhead</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">zeros</span><span class="p">(</span><span class="kt">Float64</span><span class="p">,</span><span class="w"> </span><span class="n">length</span><span class="p">(</span><span class="n">city_ranges</span><span class="p">),</span><span class="w"> </span><span class="n">n_it</span><span class="w"> </span><span class="p">)</span>
|
||||
<span class="k">for</span><span class="w"> </span><span class="p">(</span><span class="n">i</span><span class="p">,</span><span class="w"> </span><span class="n">n</span><span class="p">)</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="n">enumerate</span><span class="p">(</span><span class="n">city_ranges</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">k</span><span class="w"> </span><span class="k">in</span><span class="w"> </span><span class="mi">1</span><span class="o">:</span><span class="n">n_it</span>
|
||||
<span class="w"> </span><span class="n">connections</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">generate_rand_connections</span><span class="p">(</span><span class="n">n</span><span class="p">,</span><span class="w"> </span><span class="n">distance_range</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="nd">@show</span><span class="w"> </span><span class="n">n</span><span class="p">,</span><span class="w"> </span><span class="n">k</span>
|
||||
<span class="w"> </span><span class="n">path_dist</span><span class="p">,</span><span class="w"> </span><span class="n">distance_dist</span><span class="p">,</span><span class="w"> </span><span class="n">search_time_dist</span><span class="p">,</span><span class="w"> </span><span class="n">wait_time_dist</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_dist</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="n">path_serial</span><span class="p">,</span><span class="w"> </span><span class="n">distance_serial</span><span class="p">,</span><span class="w"> </span><span class="n">search_time_serial</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tsp_serial</span><span class="p">(</span><span class="n">connections</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="w"> </span><span class="c"># Compute search overhead as difference between distributed program and serial program</span>
|
||||
<span class="w"> </span><span class="c"># (without time spent communicating or waiting)</span>
|
||||
<span class="w"> </span><span class="n">search_overhead</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="w"> </span><span class="n">k</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">search_time_dist</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">wait_time_dist</span><span class="w"> </span><span class="o">-</span><span class="w"> </span><span class="n">search_time_serial</span>
|
||||
<span class="w"> </span><span class="k">end</span>
|
||||
<span class="k">end</span>
|
||||
|
||||
<span class="n">min_search_oh</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">minimum</span><span class="p">(</span><span class="n">search_overhead</span><span class="p">,</span><span class="w"> </span><span class="n">dims</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
||||
<span class="n">city_sizes</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">[</span><span class="mi">4</span><span class="p">,</span><span class="mi">6</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">10</span><span class="p">]</span>
|
||||
<span class="n">plot</span><span class="p">(</span><span class="n">city_sizes</span><span class="p">,</span><span class="w"> </span><span class="n">min_search_oh</span><span class="p">,</span><span class="w"> </span><span class="n">yaxis</span><span class="o">=</span><span class="ss">:log</span><span class="p">,</span><span class="w"> </span><span class="n">seriestype</span><span class="o">=</span><span class="ss">:scatter</span><span class="p">,</span><span class="n">legend</span><span class="o">=</span><span class="nb">false</span><span class="p">)</span>
|
||||
<span class="n">plot!</span><span class="p">(</span><span class="n">city_sizes</span><span class="p">,</span><span class="w"> </span><span class="n">min_search_oh</span><span class="p">,</span><span class="w"> </span><span class="n">yaxis</span><span class="o">=</span><span class="ss">:log</span><span class="p">,</span><span class="w"> </span><span class="n">legend</span><span class="o">=</span><span class="nb">false</span><span class="p">)</span>
|
||||
|
||||
<span class="n">xlabel!</span><span class="p">(</span><span class="s">"Number of cities"</span><span class="p">)</span>
|
||||
<span class="n">ylabel!</span><span class="p">(</span><span class="s">"Search overhead (s)"</span><span class="p">)</span>
|
||||
<span class="n">title!</span><span class="p">(</span><span class="s">"Minimum search overhead for different problem sizes"</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
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</script></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../julia_distributed/">« Remote calls and remote channels</a><a class="docs-footer-nextpage" href="../matrix_matrix/">Matrix Multiplication »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 10:01">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
</script></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../julia_distributed/">« Remote calls and remote channels</a><a class="docs-footer-nextpage" href="../matrix_matrix/">Matrix Multiplication »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 14:09">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
||||
@ -18,4 +18,4 @@
|
||||
var myIframe = document.getElementById("notebook");
|
||||
iFrameResize({log:true}, myIframe);
|
||||
});
|
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</script></article><nav class="docs-footer"><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 10:01">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
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</script></article><nav class="docs-footer"><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 14:09">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
||||
@ -291,6 +291,194 @@
|
||||
"rmprocs(workers())"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "19641daf",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## TSP Exercise: Measure search overhead"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "f00557a0",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"## TSP serial \n",
|
||||
"function tsp_serial(connections,city)\n",
|
||||
" num_cities = length(connections)\n",
|
||||
" path=zeros(Int,num_cities)\n",
|
||||
" hops = 1\n",
|
||||
" path[hops] = city\n",
|
||||
" min_path = zeros(Int, num_cities)\n",
|
||||
" current_distance = 0\n",
|
||||
" min_distance = typemax(Int)\n",
|
||||
" # Collect search time \n",
|
||||
" search_time = @elapsed min_path, min_distance = tsp_serial_impl(connections,hops,path,current_distance, min_path, min_distance)\n",
|
||||
" (;path=min_path,distance=min_distance, search_time)\n",
|
||||
"end"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "30784da2",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"## TSP distributed\n",
|
||||
"@everywhere function tsp_dist_impl(wait_time, connections,hops,path,current_distance,min_dist_chnl, max_hops,jobs_chnl,ftr_result)\n",
|
||||
" num_cities = length(connections)\n",
|
||||
" if hops == num_cities\n",
|
||||
" min_distance = fetch(min_dist_chnl)\n",
|
||||
" if current_distance < min_distance\n",
|
||||
" take!(min_dist_chnl)\n",
|
||||
" # Collect wait time to substract from overall search time \n",
|
||||
" if ftr_result !== nothing\n",
|
||||
" wait_time += @elapsed @spawnat 1 begin\n",
|
||||
" result = fetch(ftr_result)\n",
|
||||
" result.path .= path\n",
|
||||
" result.min_distance_ref[] = current_distance\n",
|
||||
" end |> wait\n",
|
||||
" end\n",
|
||||
" put!(min_dist_chnl, current_distance)\n",
|
||||
" end\n",
|
||||
" elseif hops <= max_hops\n",
|
||||
" current_city = path[hops]\n",
|
||||
" next_hops = hops + 1\n",
|
||||
" for (next_city,distance_increment) in connections[current_city]\n",
|
||||
" if !visited(next_city,hops,path)\n",
|
||||
" path[next_hops] = next_city\n",
|
||||
" next_distance = current_distance + distance_increment\n",
|
||||
" # Collect wait time because fetch may block\n",
|
||||
" wait_time += @elapsed min_distance = fetch(min_dist_chnl)\n",
|
||||
" if next_distance < min_distance\n",
|
||||
" tsp_dist_impl(wait_time, connections,next_hops,path,next_distance,min_dist_chnl,max_hops,jobs_chnl,ftr_result)\n",
|
||||
" end\n",
|
||||
" end\n",
|
||||
" end \n",
|
||||
" else\n",
|
||||
" # Collect communication time and add to wait time\n",
|
||||
" wait_time += @elapsed if jobs_chnl !== nothing \n",
|
||||
" path_copy = copy(path) \n",
|
||||
" put!(jobs_chnl,(;hops,path=path_copy,current_distance))\n",
|
||||
" end\n",
|
||||
" end\n",
|
||||
" # Return wait time\n",
|
||||
" wait_time\n",
|
||||
"end\n",
|
||||
"\n",
|
||||
"function tsp_dist(connections,city)\n",
|
||||
" max_hops = 2\n",
|
||||
" num_cities = length(connections)\n",
|
||||
" path=zeros(Int,num_cities)\n",
|
||||
" result_path=zeros(Int, num_cities)\n",
|
||||
" wait_time = 0\n",
|
||||
" search_time = 0\n",
|
||||
" hops = 1\n",
|
||||
" path[hops] = city\n",
|
||||
" current_distance = 0\n",
|
||||
" min_distance = typemax(Int)\n",
|
||||
" jobs_chnl = RemoteChannel(()->Channel{Any}(10))\n",
|
||||
" min_dist_chnl = RemoteChannel(()->Channel{Int}(1))\n",
|
||||
" put!(min_dist_chnl, min_distance)\n",
|
||||
" ftr_result = @spawnat 1 (;path=result_path,min_distance_ref=Ref(min_distance))\n",
|
||||
" @async begin\n",
|
||||
" # Collect search time from master process\n",
|
||||
" search_time += @elapsed wait_time += tsp_dist_impl(wait_time,connections,hops,path,current_distance,min_dist_chnl,max_hops,jobs_chnl,nothing)\n",
|
||||
" for w in workers()\n",
|
||||
" put!(jobs_chnl,nothing)\n",
|
||||
" end\n",
|
||||
" end\n",
|
||||
" @sync for w in workers()\n",
|
||||
" @spawnat w begin\n",
|
||||
" path = zeros(Int, num_cities)\n",
|
||||
" max_hops = typemax(Int)\n",
|
||||
" while true\n",
|
||||
" job = take!(jobs_chnl)\n",
|
||||
" if job == nothing\n",
|
||||
" break\n",
|
||||
" end\n",
|
||||
" hops = job.hops\n",
|
||||
" path = job.path \n",
|
||||
" current_distance = job.current_distance\n",
|
||||
" min_distance = fetch(min_dist_chnl)\n",
|
||||
" if current_distance < min_distance\n",
|
||||
" # Collect search time from worker processes \n",
|
||||
" search_time += @elapsed wait_time += tsp_dist_impl(wait_time,connections,hops,path,current_distance,min_dist_chnl,max_hops,nothing,ftr_result)\n",
|
||||
" end\n",
|
||||
" end\n",
|
||||
" end\n",
|
||||
" end \n",
|
||||
" result = fetch(ftr_result)\n",
|
||||
" (;path = result.path, distance = result.min_distance_ref[], search_time, wait_time)\n",
|
||||
"end\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "694de934",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"using Distributed\n",
|
||||
"using RandomMatrix\n",
|
||||
"using Plots\n",
|
||||
"\n",
|
||||
"function generate_rand_connections(city_range, distance_range)\n",
|
||||
" # generate random connections matrix \n",
|
||||
" n_cities = rand(city_range)\n",
|
||||
" matrix = randTriangular(distance_range, n_cities; Diag=false)\n",
|
||||
"\n",
|
||||
" connections = Array{Array{Tuple{Int64,Int64},1},1}(undef, n_cities)\n",
|
||||
" for i in 1:n_cities\n",
|
||||
" connections[i] = Array{Tuple{Int64,Int64},1}(undef, n_cities)\n",
|
||||
" end\n",
|
||||
" for i in 1:n_cities\n",
|
||||
" for j in i:n_cities\n",
|
||||
" distance = matrix[i,j]\n",
|
||||
" connections[i][j] = (j,distance)\n",
|
||||
" connections[j][i] = (i,distance)\n",
|
||||
" end\n",
|
||||
" end\n",
|
||||
" return connections\n",
|
||||
"end\n",
|
||||
"\n",
|
||||
"# Run once so compile times are not measured\n",
|
||||
"distance_range = 1:100\n",
|
||||
"connections = generate_rand_connections(4:4, distance_range)\n",
|
||||
"tsp_dist(connections,1)\n",
|
||||
"tsp_serial(connections,1)\n",
|
||||
"\n",
|
||||
"# Measure runtimes of serial and parallel algorithm\n",
|
||||
"n_it = 5\n",
|
||||
"city_ranges = [4:4, 6:6, 8:8, 10:10]\n",
|
||||
"search_overhead = zeros(Float64, length(city_ranges), n_it )\n",
|
||||
"for (i, n) in enumerate(city_ranges)\n",
|
||||
" for k in 1:n_it\n",
|
||||
" connections = generate_rand_connections(n, distance_range)\n",
|
||||
" @show n, k\n",
|
||||
" path_dist, distance_dist, search_time_dist, wait_time_dist = tsp_dist(connections,1)\n",
|
||||
" path_serial, distance_serial, search_time_serial = tsp_serial(connections,1)\n",
|
||||
" # Compute search overhead as difference between distributed program and serial program\n",
|
||||
" # (without time spent communicating or waiting)\n",
|
||||
" search_overhead[i, k] = search_time_dist - wait_time_dist - search_time_serial\n",
|
||||
" end\n",
|
||||
"end\n",
|
||||
"\n",
|
||||
"min_search_oh = minimum(search_overhead, dims=2)\n",
|
||||
"city_sizes = [4,6,8,10]\n",
|
||||
"plot(city_sizes, min_search_oh, yaxis=:log, seriestype=:scatter,legend=false)\n",
|
||||
"plot!(city_sizes, min_search_oh, yaxis=:log, legend=false)\n",
|
||||
"\n",
|
||||
"xlabel!(\"Number of cities\")\n",
|
||||
"ylabel!(\"Search overhead (s)\")\n",
|
||||
"title!(\"Minimum search overhead for different problem sizes\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "47d88e7a",
|
||||
@ -314,7 +502,7 @@
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Julia 1.9.0",
|
||||
"display_name": "Julia 1.9.1",
|
||||
"language": "julia",
|
||||
"name": "julia-1.9"
|
||||
},
|
||||
@ -322,7 +510,7 @@
|
||||
"file_extension": ".jl",
|
||||
"mimetype": "application/julia",
|
||||
"name": "julia",
|
||||
"version": "1.9.0"
|
||||
"version": "1.9.1"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@ -18,4 +18,4 @@
|
||||
var myIframe = document.getElementById("notebook");
|
||||
iFrameResize({log:true}, myIframe);
|
||||
});
|
||||
</script></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../asp/">« ASP</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 10:01">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
</script></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../asp/">« ASP</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 14:09">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
||||
@ -18,4 +18,4 @@
|
||||
var myIframe = document.getElementById("notebook");
|
||||
iFrameResize({log:true}, myIframe);
|
||||
});
|
||||
</script></article><nav class="docs-footer"><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 10:01">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
</script></article><nav class="docs-footer"><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 0.27.25 on <span class="colophon-date" title="Monday 21 August 2023 14:09">Monday 21 August 2023</span>. Using Julia version 1.9.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
|
||||
|
||||
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Reference in New Issue
Block a user