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Given the current scientific questions of societal significance, such as those related to climate change, there is an urgent need to equip the scientific community with the means to effectively use high-performance and distributed computing (HPDC), Big Data, and tools necessary for reproducible science. The Polar Computing RCN project (http://polar-computing.org) is a National Science Foundation funded...
The paper introduces a visual programming language and corresponding web- and cloud-based development environment called NetsBlox. NetsBlox is an extension of Snap! and it builds upon its visual formalism as well as its open source code base. NetsBlox adds distributed programming capabilities to Snap! by introducing two simple abstractions: messages and NetsBlox services. Messages containing data...
Breadth-first search is a building block of many graph algorithms. Because BFS is memory-bound, parallelizing BFS on a multi-core computer must consider issues of data hazards, effects of atomic operations on memory throughput, and the size of the last level cache. Additionally, graph algorithms must cope with non-sequential memory access, which defeats cache prefetching and leads to a high cache...
We compare the performance of pipelined and s-step GMRES, respectively referred to as l-GMRES and s-GMRES, on distributed multicore CPUs. Compared to standard GMRES, s-GMRES requires fewer all-reduces, while l-GMRES overlaps the all-reduces with computation. To combine the best features of two algorithms, we propose another variant, (l, t)-GMRES, that not only does fewer global all-reduces than standard...
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