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- research-articleJanuary 2019
A Lightweight Method for Handling Control Divergence in GPGPUs
HPCAsia '19: Proceedings of the International Conference on High Performance Computing in Asia-Pacific RegionPages 120–127https://doi.org/10.1145/3293320.3293331At present, graphics processing units (GPUs) has been widely used for scientific and high performance acceleration in the general purpose computing area, which is inseparable from the SIMT (Single-Instruction, Multiple-Thread) execution model. With SIMT, ...
- research-articleDecember 2018
Control Divergence Optimization through Partial Warp Regrouping in GPGPUs
CSAI '18: Proceedings of the 2018 2nd International Conference on Computer Science and Artificial IntelligencePages 369–374https://doi.org/10.1145/3297156.3297201Recent GPUs has been widely used for high performance acceleration in the general purpose computing area, which is mainly because of the SIMT (Single-Instruction, Multiple-Thread) execution model. However, when threads in a warp do not follow the same ...