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Adaptive GPU Scheduling for Efficient Numerical Computing and Computer Graphics, Markus Steinberger

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Description

In this talk, I will discuss our efforts towards dynamic GPU scheduling, which allow a larger class of algorithms to run efficiently on the GPU. Applying these ideas to well-known algorithms, we push the performance beyond state-of-the-art approaches in such contested fields like sparse matrix-vector multiplication while allowing for more flexibility. Applying these ideas to procedural geometry generation, we propose the fastest approach for generating buildings and large cities directly on the GPU. Analyzing the scheduling behavior, we present an autotuner framework that finds an optimal schedule for the execution of a specific procedural generator for a specific GPU.
Period21 Jun 2017
Event typeGuest talk
LocationAustriaShow on map

Fields of science

  • 102008 Computer graphics
  • 102 Computer Sciences
  • 102020 Medical informatics
  • 103021 Optics
  • 102015 Information systems
  • 102003 Image processing

JKU Focus areas

  • Engineering and Natural Sciences (in general)