lava
pyhpc-benchmarks
lava | pyhpc-benchmarks | |
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1 | 6 | |
15 | 301 | |
- | - | |
0.0 | 3.2 | |
2 months ago | 4 months ago | |
Python | Python | |
- | The Unlicense |
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lava
pyhpc-benchmarks
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Supercharged high-resolution ocean simulation with Jax
True, but unfortunately Pytorch is not quite there yet when it comes to more complex benchmarks:
https://github.com/dionhaefner/pyhpc-benchmarks#example-resu...
JAX really is the only library that comes close to low-level code on CPU, almost always.
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[D] Does working with Tensorflow affect my chances of getting research internships?
https://github.com/dionhaefner/pyhpc-benchmarks begs to differ.
- GitHub - dionhaefner/pyhpc-benchmarks: A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
- HPC Benchmarks for Python
- Pyhpc: Benchmarks for CPU and GPU of the most popular high-perf Python libs
What are some alternatives?
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
python-performance - Repository for the book Fast Python - published by Manning
pyopencl - OpenCL integration for Python, plus shiny features
sqloxide - Python bindings for sqlparser-rs
MATDaemon.jl
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
XLA.jl - "Maybe we have our own magic."
XLA.jl - Julia on TPUs
PSyclone - Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran
torchquad - Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
mpi4jax - Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap: