ContinuumIO / gtc2020-numba
Numba tutorial for GTC2020
☆33Updated last year
Alternatives and similar repositories for gtc2020-numba:
Users that are interested in gtc2020-numba are comparing it to the libraries listed below
- Numba tutorial for GTC2019☆134Updated last year
- Numba GPU tutorial notebooks for PyData Amsterdam 2019☆21Updated 5 months ago
- Princeton mini course on GPUs in Python☆38Updated 3 months ago
- Example Numba implementations of functions☆171Updated 2 years ago
- Orthogonal polynomials in all shapes and sizes.☆183Updated 11 months ago
- PythonHPC☆112Updated last year
- Performance engineering for the rest of us.☆30Updated last year
- ☆144Updated 3 years ago
- Examples using Numba.☆141Updated this week
- Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.☆32Updated this week
- Codes, tutorials and other resources associated with the textbook "Numerical Methods in Physics with Python" by Alex Gezerlis☆66Updated last year
- Slides for quantstack talks☆80Updated last year
- CSC Training: High-Level GPU Programming☆12Updated 2 weeks ago
- Training materials provided by OpenACC.org.☆86Updated 5 months ago
- Parallel Computing with Python☆29Updated last year
- python binding of pfft☆15Updated 5 months ago
- Pyculib - Python bindings for CUDA libraries☆97Updated 5 years ago
- Matrix Algebra on GPU and Multicore Architectures (MAGMA) source releases from http://icl.cs.utk.edu/magma/index.html☆22Updated 9 years ago
- Slides/notes and Jupyter notebook demos for an introductory course of numerical analysis/scientific computing☆51Updated last week
- Worked example of the process from Python source to CUDA kernel execution with Numba☆37Updated 4 months ago
- ☆110Updated 3 months ago
- An Aspiring Drop-In Replacement for Pandas at Scale☆75Updated 3 years ago
- SymPy code generation tutorial at SciPy 2017☆61Updated 7 years ago
- ☆17Updated 3 years ago
- Accelerate MCMC algorithm on GPU for Big Data Applications☆23Updated 6 years ago
- Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.☆23Updated last year
- NumPy ufuncs and utilities.☆52Updated 2 weeks ago
- http://cranmer.github.io/stats-ds-book☆68Updated 3 years ago
- IPython notebooks with supplementary material to accompany the textbook by Trefethen & Bau.☆29Updated 6 years ago
- Personal notes on statistics with a focus on applications to experimental high energy physics☆27Updated last year