Scientific Computing on Multi-GPU Systems

Dr. Robert Strzodka, MPI Saarbruecken

29 Jun 2009, 11:40; Location: S3|05-074

The advances in hardware functionality and programmability of graphics processors (GPUs) have greatly increased their appeal as add-on co-processors for scientific computing. However, for large-scale computations a desktop with a single GPU is not sufficient and parallel workstations or even clusters with multiple GPUs must be considered. This talk will address the challenges of these heterogeneous computing systems and in particular discuss the integration of hardware acceleration into parallel large scale software packages without requiring the user to change the existing application code.

This talk is provided together with the Department of Computer Science.

Category: CE Seminar


Technische Universität Darmstadt

Graduate School CE
Dolivostraße 15
D-64293 Darmstadt

Phone+49 6151/16-24401
Fax -24404

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