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

26.11.2019 14:00 Uhr
26.11.2019 15:00 Uhr
Jülich Supercomputing Centre, Hörsaal, Geb. 16.3, R. 222

Modular Supercomputing Architectures Seminar

Referent: Jiri Kraus, Senior DevTech Compute, NVIDIA

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++

Letzte Änderung: 18.11.2022