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

Modular Supercomputing Architectures Seminar

Anfang
26.11.2019 15:00 Uhr
Ende
26.11.2019 16:00 Uhr
Veranstaltungsort
Jülich Supercomputing Centre, Hörsaal, Geb. 16.3, R. 222
Referent:
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.
Folien:
 Introduction to GPU computing with CUDA C++ (PDF, 2 MB)