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Join Dr. Paul Richmond and Dr. Mike Griffiths at the University of Sheffield for an introductory course on GPU programming with CUDA. Discover the capabilities of NVIDIA's CUDA technology, explore the university's cutting-edge facilities, and gain hands-on experience during practical sessions. Throughout the day, participants will learn about system architectures, performance optimization, and how to utilize the Iceberg system. This course is ideal for anyone looking to enhance their skills in parallel computing and GPU programming.
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GPU Programming with CUDA – IntroductionPaul Richmond GPUComputing@Sheffield http://gpucomputing.sites.sheffield.ac.uk/
GPUComputing@Sheffield Dr Paul Richmond Vice Chancellors Research Fellow - Department of Computer Science p.richmond@sheffied.ac.uk Dr Mike Griffiths Technical Services - CiCS m.griffiths@sheffield.ac.uk • Sheffield is an NVIDIA CUDA Research Centre • What does this mean? • What facilities does the University of Sheffield have? • How do I learn more?
EPCC @ The University of Edinburgh Dr Alan Gray Research Architect - EPCC a.gray@epcc.ed.ac.uk Mr James Perry Applications Consultant - EPCC j.perry@epcc.ed.ac.uk Original course content has been kindly provided by Dr Alan Gray Training Course has been managed via the Archer Training Portal James Perry (from EPCC) is here to assist with Practical Sessions
Todays Agenda 10:00 -> 10:15 : Introduction – PR (15min) 10:15 -> 11:00 : System Architectures – MG (45min) 11:00 -> 11:45 : Intro to CUDA – PR (45min) 11:45 -> 12:00 : Introduction to Using Iceberg - Demonstration by MG (10mins) 11:45 -> 12:45 : Hands on Practical Session 1 (50min) 12:45 -> 13:45 : Lunch (60min) 13:45 -> 14:30 : Performance Optimisation – MG (45min) 14:00 -> 15:30 : Hands on Practical Session 2 (60min) 15:30 -> 16:00 : CUDA 6 – PR (30min Depending on Progress)