dionhaefner / pyhpc-benchmarksLinks
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python
☆333Updated last year
Alternatives and similar repositories for pyhpc-benchmarks
Users that are interested in pyhpc-benchmarks are comparing it to the libraries listed below
Sorting:
- The Foundation for All Legate Libraries☆233Updated this week
- An Aspiring Drop-In Replacement for Pandas at Scale☆74Updated 4 years ago
- RFC document, tooling and other content related to the array API standard☆264Updated 3 weeks ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆512Updated 2 weeks ago
- Python helpers to limit the number of threads used in native libraries that handle their own internal threadpool (BLAS and OpenMP impleme…☆407Updated 2 months ago
- A library that translates Python and NumPy to optimized distributed systems code.☆131Updated 3 years ago
- Machine Learning for HPC Workflows☆144Updated 3 weeks ago
- Drop-in autodiff for NumPy.☆213Updated last month
- Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.☆66Updated 4 years ago
- Extending JAX with custom C++ and CUDA code☆403Updated last year
- Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python☆230Updated last week
- NPBench - A Benchmarking Suite for High-Performance NumPy☆91Updated last week
- Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX☆222Updated 5 years ago
- Mathematical operations for JAX pytrees☆207Updated last year
- Example Numba implementations of functions☆178Updated 3 years ago
- Example python (numpy) -- CUDA installable package with a C-extension library☆144Updated 6 years ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆965Updated 7 months ago
- Numba tutorial for GTC2019☆134Updated 2 years ago
- Nvidia contributed CUDA tutorial for Numba☆265Updated 3 years ago
- Make your Python code fly at transonic speeds!☆126Updated last month
- Documentation:☆126Updated 2 years ago
- Data Parallel Extension for Numba☆89Updated 4 months ago
- Deploy Dask using MPI4Py☆56Updated 2 weeks ago
- Worked example of the process from Python source to CUDA kernel execution with Numba☆45Updated last year
- Numeric and scientific computing on GPUs for Python with a NumPy-like API☆93Updated 4 years ago
- DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning☆305Updated 3 weeks ago
- Utilities for Dask and CUDA interactions☆319Updated this week
- Test suite for Python array API standard compliance☆70Updated 2 weeks ago
- OpenMP for Python in Numba☆151Updated last week
- Legate Sparse is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the scipy.sparse library on …☆24Updated 2 weeks ago