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 using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate...
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 famous cloud services for machine learning, Colab features FREE access to GPU and TPU computing. But do you know you can use Colab for various...
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 workshop covers the essentials of GPU computing, with a special focus on leveraging these powerful processors within Python and R environments as well as other...
https://docs.google.com/document/d/1mlp8_1H0Ih884OejqBlzD1iz5yw1PDnOGb-HuW-gXV0/edit
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. However, modern simulations often involve enormous datasets, especially when using high-resolution grids, that exceed the memory capacity of a single processor. This poses a significant...