Titlebook: High Performance Computing; 32nd International C Julian M. Kunkel,Rio Yokota,David Keyes Conference proceedings 2017 Springer International

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0302-9743 ions. The papers cover the following topics: applications and algorithms; proxy applications; architecture and system optimization; and energy-aware computing..978-3-319-58666-3978-3-319-58667-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Tile Low Rank Cholesky Factorization for Climate/Weather Modeling Applications on Manycore Architectt, and will be a key to solving these challenging problems at large-scale dimensions. The authors design a new and flexible tile row rank Cholesky factorization and propose a high performance implementation using OpenMP task-based programming model on various leading-edge manycore architectures. Per

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EDGE: Extreme Scale Fused Seismic Simulations with the Discontinuous Galerkin Method and relying on runtime code generation and specialization, both, sparse and dense operations, can be efficiently vectorized on wide-SIMD machines. We present a convergence study of single and fused seismic simulations, code verification in an established benchmark, as well as a detailed performance

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Accelerating Seismic Simulations Using the Intel Xeon Phi Knights Landing Processor Further, we present a novel strategy utilizing both DDR4 RAM and High Bandwidth Memory, increasing the maximum problem size by 26% while still operating at maximum performance. The presented shared and distributed parallelization carefully schedules work to the cores and ensures overlapping communi

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Fast Matrix-Free Discontinuous Galerkin Kernels on Modern Computer Architecturesshows that simple ways to express parallelism through . loops perform better on medium and high core counts than a more elaborate task-based parallelization with dynamic scheduling according to dependency graphs, despite less memory transfer in the latter algorithm.

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