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MSA Seminar: Introduction to GPU Computing with CUDA C++

Modular Supercomputing Architectures Seminar

begin
26 Nov 2019 15:00
end
26 Nov 2019 16:00
venue
Jülich Supercomputing Centre, Lecture Hall (Hörsaal), building 16.3, room 222
Speaker:
Jiri Kraus, Senior DevTech Compute, NVIDIA
Abstract:
This seminar will explain why throughput-optimized GPUs can process massively parallel tasks faster than latency-optimized architectures like CPUs. To utilize GPUs it is required to expose sufficient parallelism. How this can be done is explained by the example of CUDA C++, also covering the basics of data movement and most important GPU Kernel performance characteristics.
Slides
 Introduction to GPU computing with CUDA C++ (PDF, 2 MB)

 

 


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