Implementation of a non-linear solver on heterogeneous architectures

被引：4

作者：

Carracciuolo, Luisa ^{[1
]}

Lapegna, Marco ^{[2
]}

机构：

[1] Italian Natl Res Council, I-00185 Rome, Italy

[2] Univ Naples Federico II, Naples, Italy

来源：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2018年 / 30卷 / 24期

关键词：

CUDA; heterogeneous architectures; MAGMA; performance metrics; solver for non-linear problem; QUASI-NEWTON METHODS; GPU; COMPONENT; ARM;

D O I：

10.1002/cpe.4903

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Heterogeneous architectures seem to be not only the present but also the future of the HPC world (eg, see the Exascale Project of U.S. Department of Energy or the European Horizon 2020 FET Proactive - High Performance Computing Call). A lot of work has been done in developing software libraries useful to solve problem described by linear equations on such computing systems. Instead, not the same effort is spent in such context for the implementation of software modules to be used to solve non-linear problem. In this work, we present some experiences related with the implementation of a Quasi-Newton method able to exploit, using a combination of "Task Scheduling," "matrix-free," and "look-ahead" approaches, both the CPUs and the GP-GPUs components of a heterogeneous system.

引用

页数：19

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