Accelerating many-nucleon basis generation for high performance computing enabled ab initio nuclear structure studies

被引：13

作者：

Langr, Daniel ^{[1
]}

Dytrych, Tomas ^{[2
,3
]}

Launey, Kristina D. ^{[3
]}

Draayer, Jerry P. ^{[3
]}

机构：

[1] Czech Tech Univ, Fac Informat Technol, Prague, Czech Republic

[2] Czech Acad Sci, Nucl Phys Inst, Prague, Czech Republic

[3] Louisiana State Univ, Dept Phys & Astron, Baton Rouge, LA 70803 USA

来源：

INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS | 2019年 / 33卷 / 03期

基金：

美国国家科学基金会;

关键词：

Ab initio; high performance computing; nuclear structure; many-nucleon basis generation; parallel algorithm; symmetry-adapted no-core shell model; COLLECTIVE MOTION; SHELL-MODEL;

D O I：

10.1177/1094342019838314

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present the problem of generating a many-nucleon basis in SU(3)-scheme for ab initio nuclear structure calculations in a symmetry-adapted no-core shell model framework. We first discuss and analyze the basis construction algorithm whose baseline implementation quickly becomes a significant bottleneck for large model spaces and heavier nuclei. The outcomes of this analysis are utilized to propose a new scalable version of the algorithm. Its performance is consequently studied empirically using the Blue Waters supercomputer. The measurements show significant acceleration achieved with over two orders of magnitude speedups realized for larger model spaces.

引用

页码：522 / 533

页数：12