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On-the-fly elimination of dynamic irregularities for GPU computing
2011
SIGARCH Computer Architecture News
The power-efficient massively parallel Graphics Processing Units (GPUs) have become increasingly influential for scientific computing over the past few years. However, their efficiency is sensitive to dynamic irregular memory references and control flows in an application. Experiments have shown great performance gains when these irregularities are removed. But it remains an open question how to achieve those gains through software approaches on real GPUs. In this paper, we present a systematic
doi:10.1145/1961295.1950408
fatcat:yigrclg2ebcyveb2hydo7wiacq