As parallel jobs get bigger in size and finer in granularity, “system noise” is increasingly becoming a problem. In fact, fine-grained jobs on clusters with thousands of SMP...
Dan Tsafrir, Yoav Etsion, Dror G. Feitelson, Scott...
In this paper we present a generalized forall statement for parallel languages. The forall statement occurs in many (data) parallel languages and specifies which computations can...
Paul Dechering, Leo C. Breebaart, Frits Kuijlman, ...
Loop vectorization, a key feature exploited to obtain high performance on Single Instruction Multiple Data (SIMD) vector architectures, is significantly hindered by irregular memo...
Byunghyun Jang, Perhaad Mistry, Dana Schaa, Rodrig...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
In this paper, we consider the problem of nding llpreserving ordering of a sparse symmetric and positive de nite matrix such that the reordered matrix is suitable for parallel fac...