Explore GPU computing using the Chapel programming language in this 58-minute video from WestGrid. Learn how to harness the power of graphics processing units for high-performance computing tasks, and discover the unique features of Chapel that make it well-suited for GPU programming. Gain insights into parallel computing techniques and best practices for optimizing code performance on GPU architectures. For more SFU Research Computing training events, visit https://training.westdri.ca/blog or contact [email protected] for inquiries.
Overview
Syllabus
GPU computing with Chapel
Taught by
WestDRI
Related Courses
-
Introducing Chapel: A Programming Language for Productive Parallel Computing from Laptops to Supercomputers
-
Learn CUDA with Docker!
-
Vendor-Neutral GPU Programming in Chapel
-
GPU Computing and Krylov Solvers
-
Introduction to High-Performance and Parallel Computing
-
CUDA Programming - High-Performance Computing with GPUs
