A performance-oriented data parallel virtual machine for GPUs

  • Authors:
  • Mark Peercy;Mark Segal;Derek Gerstmann

  • Affiliations:
  • ATI Research, Inc.;ATI Research, Inc.;ATI Research, Inc.

  • Venue:
  • ACM SIGGRAPH 2006 Sketches
  • Year:
  • 2006

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Abstract

Existing GPU programming interfaces require applications to adopt a graphics-centric programming model exported by a device driver tuned for real-time graphics and games. This programming model, however, hinders the development and performance of non-graphics applications by imposing a graphics policy for program execution and hiding hardware resources. We present a new virtual machine abstraction for GPUs that provides policy-free, low-level access to the hardware and is designed for high-performance, data-parallel applications.