Recently, a novel, highly scalable, approach to realize forward/inverse 3D transforms has been proposed. It is based on a 3D decomposition of data and geared ...
The aim of this paper is to present a preliminary experimental performance study of the proposed implementation on two different high- performance computer ...
Dec 1, 2020 · Performance Analysis of a Scalable Algorithm for 3D Linear Transforms on Supercomputer with Intel Processors/Co-Processors. Author: Ivan Lirkov.
A highly scalable approach to realize forward/inverse 3D transforms has been proposed. It is based on a 3D decomposition of data and geared towards a torus ...
Performance analysis of scalable algorithms for 3D linear transforms. Ivan Lirkov, Marcin Paprzycki, Maria Ganzha, Stanislav Sedukhin, Paweł Gepner. DOI: http ...
Performance Analysis of a Scalable Algorithm for 3D Linear Transforms on Supercomputer with Intel Processors/Co-Processors · Online veröffentlicht: 31.
Performance analysis of scalable algorithms for 3D linear transforms ID: 6214992. Marcin Paprzycki, Maria Ganzha. Publication type -. Article. Basic information.
Performance analysis of a scalable algorithm for 3D linear transforms · I ... A preliminary experimental performance study of the proposed 3D orbital algorithms ...
Performance Analysis of a Scalable Algorithm for 3D. Linear Transforms on Supercomputer with Intel. Processors/coprocessors.
Performance analysis of scalable algorithms for 3D linear transforms; Source: Annals of Computer Science and Information Systems, 2014, vol. 2, s. 613 - 622 ...