Author Archives: Sohan Lal

TUB Paper Accepted at IPDPS 2017

The paper “E²MC: Entropy Encoding based Memory Compression for GPUs” by Sohan Lal, Jan  Lucas and Ben Juurlink has been accepted for publication at 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS) to be held in Orlando, Florida USA from May 29 – June 2, 2017. This paper proposes an entropy encoding based memory compression technique for GPUs. The proposed compression technique addressed the key challenges of probability estimation, choosing an appropriate symbol length for encoding, and decompression with low latency. It achieves higher compression ratio and performance gain compared to state of the art.

Figure: Speedup with increased memory bandwidth

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