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Titlebook: High Performance Computing; 31st International C Julian M. Kunkel,Pavan Balaji,Jack Dongarra Conference proceedings 2016 Springer Internati

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TCU: A Multi-Objective Hardware Thread Mapping Unit for HPC Clustersions of different mapping policies show that multi-objective thread mapping provides about 10 to 40 % less mapping latency for periodic workloads compared to single-objective or round-robin policies. For bursty workloads under high load conditions, a 20 % reduction is achieved..The TCU macro has a m
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Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Ducomputational workload among processes in exchange for a significantly reduced communication cost required in the later stages. After data partitioning, each process runs MEP on the assigned subgraph pair. MEP is a community detection algorithm based on the idea of maximizing equilibrium and purity.
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TiDA: High-Level Programming Abstractions for Data Locality Management on five applications on multiple NUMA nodes. The library achieves up to 2.10x speedup over OpenMP in a single compute node for simple kernels, and up to 22x improvement over a single thread for a more complex combustion proxy application (SMC) on 24 cores. The . implementation of geometric multigri
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OpenAtom: Scalable Ab-Initio Molecular Dynamics with Diverse Capabilities Simulations of this system are scaled to large core counts on Cray XE6 and IBM Blue Gene/Q systems, and time per step as low as . is demonstrated for simulating path integrals with 32-beads of MOF on 262,144 cores of Blue Gene/Q.
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