Key Summary: Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU

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Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023
Patterns for Portable Parallelism: Porting CliMA to GPUs | Simon Byrne | JuliaCon 2023
AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms | Nicusan | JuliaCon Global 2025
Code Profiling and Optimization (in Julia)
NVAITC Webinar: Profiling with NVTX
MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023
GraphDynamics.jl: Efficient, scalable neuronal dynamics | Protter | JuliaCon Global 2025
Tricks.jl: Abusing Backedges for Fun and Profit | Frames Catherine White | JuliaCon 2022
ProtoSyn.jl: A Package For Molecular Manipulation and Simulation | José Pereira | JuliaCon 2022
TrajectoryBundles.jl: parallelizable, derivative-free traj. opt. | Trowbridge
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See Related Details
Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023

Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023

Read more details and related context about Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023.

Patterns for Portable Parallelism: Porting CliMA to GPUs | Simon Byrne | JuliaCon 2023

Patterns for Portable Parallelism: Porting CliMA to GPUs | Simon Byrne | JuliaCon 2023

Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms | Nicusan | JuliaCon Global 2025

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms | Nicusan | JuliaCon Global 2025

Read more details and related context about AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms | Nicusan | JuliaCon Global 2025.

Code Profiling and Optimization (in Julia)

Code Profiling and Optimization (in Julia)

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J:

NVAITC Webinar: Profiling with NVTX

NVAITC Webinar: Profiling with NVTX

Read more details and related context about NVAITC Webinar: Profiling with NVTX.

MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023

MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023

Read more details and related context about MultilayerGraphs.jl: Multilayer Network Science in Julia | Monticone, Moroni | JuliaCon 2023.

GraphDynamics.jl: Efficient, scalable neuronal dynamics | Protter | JuliaCon Global 2025

GraphDynamics.jl: Efficient, scalable neuronal dynamics | Protter | JuliaCon Global 2025

Read more details and related context about GraphDynamics.jl: Efficient, scalable neuronal dynamics | Protter | JuliaCon Global 2025.

Tricks.jl: Abusing Backedges for Fun and Profit | Frames Catherine White | JuliaCon 2022

Tricks.jl: Abusing Backedges for Fun and Profit | Frames Catherine White | JuliaCon 2022

Read more details and related context about Tricks.jl: Abusing Backedges for Fun and Profit | Frames Catherine White | JuliaCon 2022.

ProtoSyn.jl: A Package For Molecular Manipulation and Simulation | José Pereira | JuliaCon 2022

ProtoSyn.jl: A Package For Molecular Manipulation and Simulation | José Pereira | JuliaCon 2022

Read more details and related context about ProtoSyn.jl: A Package For Molecular Manipulation and Simulation | José Pereira | JuliaCon 2022.

TrajectoryBundles.jl: parallelizable, derivative-free traj. opt. | Trowbridge

TrajectoryBundles.jl: parallelizable, derivative-free traj. opt. | Trowbridge

Read more details and related context about TrajectoryBundles.jl: parallelizable, derivative-free traj. opt. | Trowbridge.