Analyzing CUDA workloads using a detailed GPU simulator

@article{Bakhoda2009AnalyzingCW,
  title={Analyzing CUDA workloads using a detailed GPU simulator},
  author={Ali Bakhoda and George L. Yuan and Wilson W. L. Fung and Henry Wong and Tor M. Aamodt},
  journal={2009 IEEE International Symposium on Performance Analysis of Systems and Software},
  year={2009},
  pages={163-174}
}
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow's manycore processors, whether those are GPUs or otherwise. The combination of multiple, multithreaded, SIMD cores makes studying these GPUs useful in understanding tradeoffs among memory, data, and thread level parallelism. While modern GPUs offer orders of magnitude more raw computing power than contemporary CPUs, many important… CONTINUE READING
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