At NCI, we provide researchers with profilers so that they can improve their code performance with a clear guidance. We tested four profiling tools and show the corresponding examples Here is a summary in the table below.
| profilers | CPU | GPU | MPI | timeline | high level performance summary |
|---|---|---|---|---|---|
| PProf.jl | x | source code | |||
| Intel-Vtune | x | x | function | x | |
| NVidia Nsight Systems | x | x | function | x | |
| NVida Nsight Compute | x | x | source code | x |
We tested four profiling tools and show the corresponding examples below.
PProf.jl
This tool shows the information collected by the native Julia profiler through a graphic user interface. One can navigate through the profiling result by the statistics, flamegraph, and calling graph view and use the search bar to find any piece of code under interest.
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