Accelerating Your Code with GPUs
Part of the series: From Scripts to Software: Practical Python for Reproducible Research Having learned how to write sustainable, object-oriented code and how to scale it across multiple processors, we…
GPU
Parallel Transpose Algorithms: Massively Parallel Computing with GPUs Series
Several highly accurate computational methods, such as Fourier spectral method and compact finite difference method, require complete grid data along spatial axes when solving partial differential equations on structured grids….
Massively Parallel Computing with GPU
https://docs.google.com/document/d/1mlp8_1H0Ih884OejqBlzD1iz5yw1PDnOGb-HuW-gXV0/edit
Optimizing research with GPUs on Hoffman2
This workshop caters to computing professionals and researchers eager to push the boundaries of high-performance computing using GPUs. Tailored for an audience that ranges from novices to experienced users, the…
An In-Depth Introduction to Google Colab — Discovering how to use free CPU/GPU for coding and teaching
As Jupyter Notebook is becoming more and more popular for data scientists, researchers and software engineers, many people may have already heard about Google Colab. As one of the most…
XSEDE HPC Workshop: GPU Programming Using OpenACC
UCLA-IDRE along with XSEDE and Pittsburgh Supercomputing Center is pleased to announce an OpenACC GPU Programming workshop on November 6, 2018, 8 AM-2 PM PDT. OpenACC is the accepted standard…