pyopencl
pyhpc-benchmarks
pyopencl | pyhpc-benchmarks | |
---|---|---|
2 | 6 | |
1,029 | 302 | |
- | - | |
8.1 | 3.2 | |
6 days ago | 4 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | The Unlicense |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyopencl
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An example for OpenCL 3.0?
Please note that OpenCL consists of two parts: host API and a separate language which is used to write kernels (code which is going to be offloaded to devices). OpenCL specification describes host APIs as C-style APIs and that is what implementors has to provide. However, there are number of various libraries which provides bindings for other languages: - C++ - Python - Go - Rust
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Doubts on pyopencl
I thought the project could be dead, but then I looked into the latest commits to the repository, and it is certainly not dead as a project.
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?
PyCUDA - CUDA integration for Python, plus shiny features
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
python-performance - Repository for the book Fast Python - published by Manning
sqloxide - Python bindings for sqlparser-rs
arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.
MATDaemon.jl
inventory-hunter - ⚡️ Get notified as soon as your next CPU, GPU, or game console is in stock
3d-ken-burns - an implementation of 3D Ken Burns Effect from a Single Image using PyTorch
plotoptix - Data visualisation and ray tracing in Python based on OptiX 7.7 framework.
XLA.jl - "Maybe we have our own magic."
LSQR-CUDA - This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.
XLA.jl - Julia on TPUs