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Recent hardware developments have dramatically increased the scale of data parallelism available for neural network training… Expand For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for… Expand With the increase in available data parallel machine learning has become an increasingly pressing problem. In this paper we… Expand Today's computers are becoming increasing reliant on parallel computing. Processors are shipping with multiple cores, and new… Expand Irregular applications, which manipulate large, pointer-based data structures like graphs, are difficult to parallelize manually… Expand This chapter describes the design and features of a visualization tool called ParaView, a tool that allows scientists to… Expand The most exciting development in parallel computer architecture is the convergence of traditionally disparate approaches on a… Expand A complete Alpine cross section integrates numerous seismic reflection and refraction profiles, across and along strike, with… Expand Loop fusion is a program transformation that merges multiple loops into one. It is effective for reducing the synchronization… Expand Parallel computers with tens of thousands of processors are typically programmed in a data parallel style, as opposed to the… Expand