Hands on with OpenMP4.5 and Unified Memory: Developing Applications for IBM's Hybrid CPU plus GPU Systems (Part II)

被引：4

作者：

Grinberg, Leopold ^{[1
]}

Bertolli, Carlo ^{[1
]}

Haque, Riyaz ^{[2
]}

机构：

[1] IBM Res, Yorktown Hts, NY 10598 USA

[2] LLNL, Livermore, CA USA

来源：

SCALING OPENMP FOR EXASCALE PERFORMANCE AND PORTABILITY (IWOMP 2017) | 2017年 / 10468卷

关键词：

OpenPOWER; HPC; Offloading; Directive based programming; Nested parallelism;

D O I：

10.1007/978-3-319-65578-9_2

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Integration of multiple types of compute elements and memories in a single system requires proper support at a system-software level including operating system (OS), compilers, drivers, etc. The OS helps in scheduling work on different compute elements and manages memory operations in multiple memory pools including page migration. Compilers and programming languages provide tools for taking advantage of advanced architectural features. In this paper we encourage code developers to work with experimental versions of compilers and OpenMP standard extensions designed for hybrid OpenPOWER nodes. Specifically, we focus on nested parallelism and Unified Memory as key elements for efficient system-wide programming of CPU and GPU resources of OpenPOWER. We give implementation details using code samples and we discuss limitations of the presented approaches.

引用

页码：17 / 29

页数：13