PSyclone
Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran (by stfc)
pyhpc-benchmarks
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket: (by dionhaefner)
PSyclone | pyhpc-benchmarks | |
---|---|---|
1 | 6 | |
100 | 302 | |
- | - | |
9.9 | 3.2 | |
5 days ago | 5 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | The Unlicense |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
PSyclone
Posts with mentions or reviews of PSyclone.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-21.
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OCaml vs Haskell for finance
I remember they had projects like LFRic, GungHo, and PSyclone (https://github.com/stfc/PSyclone). This last one, I think was intended to allow its users to write code in Python, in a notebook, and then translate it into Fortran. I don't know if this is something that could be used for trying to combine Python with some FP library and then compile to Fortran, or maybe use a similar approach and transpile parts of Ocaml/Haskell/lisp/etc into Fortran...
pyhpc-benchmarks
Posts with mentions or reviews of pyhpc-benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-05.
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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?
When comparing PSyclone and pyhpc-benchmarks you can also consider the following projects:
polygon - Python module to calculate geometrical properties of arbitrary 2D polygons such as area, center of mass (centroid), solid of revolution and more!
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
pyopencl - OpenCL integration for Python, plus shiny features