articleACM Transactions on GraphicsAug 1, 2004Closed access

Brook for GPUs

Stanford University

Indexed incrossref

Abstract

In this paper, we present Brook for GPUs, a system for general-purpose computation on programmable graphics hardware. Brook extends C to include simple data-parallel constructs, enabling the use of the GPU as a streaming co-processor. We present a compiler and runtime system that abstracts and virtualizes many aspects of graphics hardware. In addition, we present an analysis of the effectiveness of the GPU as a compute engine compared to the CPU, to determine when the GPU can outperform the CPU for a particular algorithm. We evaluate our system with five applications, the SAXPY and SGEMV BLAS operators, image segmentation, FFT, and ray tracing. For these applications, we demonstrate that our Brook…

Citation impact

1,169
total citations
FWCI
85.83
Percentile
100%
References
41
Citations per year

Authors

7

Topics & keywords

Keywords
  • Computer science
  • Parallel computing
  • Compiler
  • Graphics hardware
  • Graphics
  • General-purpose computing on graphics processing units
  • Implementation
  • Central processing unit
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