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GOALS.md

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29 01 25

  • Create Project and add Dependencies

    • Pkg.add("Distributed") Pkg.add("LinearAlgebra") Pkg.add("BenchmarkTools") Pkg.add("Plots") (Done)

  • Use Julia's multi-threading capabilities to simulate shared-memory parallelism (e.g., multi-core CPUs).

  • Use the Distributed standard library to simulate distributed memory systems.

  • Use the MPI.jl package to simulate message-passing between nodes, which is a common pattern in HPC.

  • Simulate typical HPC workloads, such as matrix operations, solving differential equations, or running Monte Carlo simulations.

  • Use Julia's benchmarking and profiling tools to analyze the performance of your simulated HPC system.

  • Simulate GPU-accelerated HPC workloads using packages like CUDA.jl or AMDGPU.jl.

  • Use Julia to model the communication patterns and network topologies of an HPC system.