Video Archive: NVIDIA GPU Computing and SUrge

April 13, 2022

Brad Palmer
NVIDIA Senior Solutions Architect Brad Palmer

NVIDIA Senior Solutions Architect Brad Palmer along with the Research Computing team discuss how faculty and student researchers can get the most out of their GPU resources.

Hosted by the ITS Research Computing team, the Research Computing Series provides a forum for faculty and students to learn how to move their work forward by using a wide range of tools available to them—including the SUrge graphics processor unit (GPU) cluster.

SUrge provides a significant speed increase over traditional CPUs for a variety of uses, including mathematical operations, rendering, photogrammetry and more. SUrge features more than 300 GPUs, including several NVIDIA models.

Video Archive

GPU Accelerated Applications Catalog

HPC Application Benchmark Performance

GPU Accelerated Libraries

Example implementations of GPU accelerated libraries

OpenACC Acceleration

GPU Hackathons and Bootcamps

CUDA Programming Blog

GPU Acceleration with Standard C Blog

GPU Acceleration with Standard Fortran Blog

Alpha release of cuNumeric Blog

Numba

CuPy

cuNumeric

RAPIDS

RAPIDS cuML supported algorithms

NVIDIA Developer Website

NVIDIA Training