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Francesc Verdugo committed 2024-08-12 18:23:19 +02:00
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docs/make.jl
+6 -6
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@@ -119,13 +119,13 @@ makedocs(;
"Julia Basics" => "julia_basics.md",
"Asynchronous programming in Julia" => "julia_async.md",
"Distributed computing in Julia" => "julia_distributed.md",
"Distributed computing with MPI" => "mpi_tutorial.md",
#"Distributed computing with MPI" => "mpi_tutorial.md",
"Matrix-matrix multiplication"=>"matrix_matrix.md",
"Jacobi method" => "jacobi_method.md",
"All pairs of shortest paths" => "asp.md",
"Gaussian elimination" => "LEQ.md",
"Traveling salesperson problem" => "tsp.md",
"Partial differential equations" => "pdes.md",
#"Jacobi method" => "jacobi_method.md",
#"All pairs of shortest paths" => "asp.md",
#"Gaussian elimination" => "LEQ.md",
#"Traveling salesperson problem" => "tsp.md",
#"Partial differential equations" => "pdes.md",
],
"Solutions" => "solutions_for_all_notebooks.md",
],
notebooks/figures/fig_mpi.svg
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notebooks/julia_distributed.ipynb
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"With this knowledge you will be able to implement simple and complex parallel algorithms in Julia."
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"We have seen the basics of distributed computing in Julia. The programming model is essentially an extension of tasks and channels to parallel computations on multiple machines. The low-level functions are `remotecall` and `RemoteChannel`, but there are other functions and macros like `pmap` and `@distributed` that simplify the implementation of parallel algorithms."
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"## Exercises"
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truncated
}
},
"cell_type": "markdown",
"id": "6a485db2",
"metadata": {},
"source": [
"<div>\n",
"<img src=\"attachment:g5148-2.png\" align=\"left\" width=\"320\"/>\n",
"</div>"
]
},
{
"cell_type": "markdown",
"id": "9a49ad48",
notebooks/mpi_tutorial.ipynb
+2 -2
View File
@@ -1036,7 +1036,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.9.1",
"display_name": "Julia 1.9.0",
"language": "julia",
"name": "julia-1.9"
},
@@ -1044,7 +1044,7 @@
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.9.1"
"version": "1.9.0"
}
},
"nbformat": 4,