Titlebook: Parallel Processing and Applied Mathematics; 13th International C Roman Wyrzykowski,Ewa Deelman,Konrad Karczewski Conference proceedings 20

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Multi-workgroup Tiling to Improve the Locality of Explicit One-Step Methods for ODE Systems with Limited Access Distance on GPUse locality of memory references important. We exploit the limited access distance, which is a property of a large class of right-hand-side functions, to enable hexagonal or trapezoidal tiling across the stages of the ODE method. Since previous work showed that the traditional approach of launching o

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Structure-Aware Calculation of Many-Electron Wave Function Overlaps on Multicore Processorselectron wave function overlaps, yielding a considerable reduction of the theoretical cost. The resulting enhanced algorithm is embarrassingly parallel and our comparison against the (embarrassingly parallel version of) original algorithm, on a computer node with 40 physical cores, shows acceleratio

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High Performance Tensor–Vector Multiplication on Shared-Memory Systemsntation of this bandwidth-bound operation. Here, we investigate its efficient, shared-memory implementations. Upon carefully analyzing the design space, we implement a number of alternatives using OpenMP and compare them experimentally. Experimental results on up to 8 socket systems show near peak p

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Efficient Modular Squaring in Binary Fields on CPU Supporting AVX and GPUbit-slicing methodology with a view to maximizing the advantage of . (SIMD) and . (SIMT) execution patterns. The developed implementation of modular squaring was adjusted to testing for the irreducibility of binary polynomials of some particular forms.

GLUT

Parallel Robust Computation of Generalized Eigenvectors of Matrix Pencilsan be solved using substitution. In practice, substitution is vulnerable to floating-point overflow. The robust solvers . in LAPACK prevent overflow by dynamically scaling the eigenvectors. These subroutines are scalar and sequential codes which compute the eigenvectors one by one. In this paper, we

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Parallel Performance of an Iterative Solver Based on the Golub-Kahan Bidiagonalizationture. We focus in particular on our recent implementation of the algorithm using the parallel numerical library PETSc. Since the algorithm is a nested solver, we investigate different choices for parallel inner solvers and show its strong scalability for two Stokes test problems. The algorithm is fo