Massively Parallel, Three-Dimensional Transport Solutions for the k-Eigenvalue Problem

被引：16

作者：

Davidson, Gregory G. ^{[1
]}

Evans, Thomas M. ^{[1
]}

Jarrell, Joshua J. ^{[1
]}

Hamilton, Steven P. ^{[1
]}

Pandya, Tara M. ^{[1
]}

Slaybaugh, Rachel N.

机构：

[1] Oak Ridge Natl Lab, Radiat Transport Grp, Oak Ridge, TN 37831 USA

来源：

NUCLEAR SCIENCE AND ENGINEERING | 2014年 / 177卷 / 02期

关键词：

ITERATIVE METHODS; ACCELERATION; ALGORITHM;

D O I：

10.13182/NSE12-101

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

We have implemented a new multilevel parallel decomposition in the Denovo discrete ordinates radiation transport code. In concert with Krylov subspace iterative solvers, the multilevel decomposition allows concurrency over energy in addition to space-angle, enabling scalability beyond the limits imposed by the traditional Koch-Baker-Alcouffe (KBA) space-angle partitioning. Furthermore, a new Arnoldi-based k-eigenvalue solver has been implemented. The added phase-space concurrency combined with the high-performance Krylov and Arnoldi solvers has enabled weak scaling to 0(105) cores on the Titan XK7 supercomputer. The multilevel decomposition provides a mechanism for scaling to exascale computing and beyond.

引用

页码：111 / 125

页数：15

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