Congrats to Chulian Zhang and Hamed Tabkhi on their accepted journal [1] at the IEEE journal of Computer Architecture Letters . The aim of this article is to manage inter-warp divergence to hide the memory access latency and minimize the resource conflicts and temporal under-utilization in compute units allowing GPUs to achieve their peak throughput. The journal is related to the project "Computer Vision on GPU". Read more about this project here.

References

1. C. Zhang, H. Tabkhi and G. Schirner, Studying Inter-Warp Divergence Aware Execution on GPUs, Computer Architecture Letters, 2015
   
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