We identify the challenges that are special to parallel sparse matrix-matrix multiplication (PSpGEMM). We show that sparse algorithms are not as scalable as their dense counterpar...
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such scientific applications is therefore ...
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr...
We present the ParAL system which compiles Matlab scripts into C programs with calls to a parallel run-time library. The novel feature of the compiler is the optimisation of array...
We examine computing alternative solutions to a problem in parallel to improve response time. Problems with exploring multiple alternatives in parallel include (1) side-effects an...
This paper proposes a novel parallel approach for pipelining of nested multiplexer loops to design high speed decision feedback equalizers (DFEs) based on look-ahead techniques. I...