Fundamentals of Accelerated Computing with CUDA C/C++ (N8 CIR)

Date
17 March 2021 - 09:00-17:00
Location
Online
Speaker
Richard Regan (DiRAC), N8 CIR

The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

  • Accelerating CPU-only applications to run their latent parallelism on GPUs
  • Utilizing essential CUDA memory management techniques to optimize accelerated applications
  • Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
  • Leveraging command line and visual profiling to guide and check your work

Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

This training has been organised and is being run by the N8 CIR.

More info and registration.

Contact Us

For queries relating to collaborating with the RSE team on projects: rse@sheffield.ac.uk

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Queries regarding free research computing support/guidance should be raised via our Code clinic or directed to University central IT support.