XcalableMP PGAS Programming Language
From Programming Model to Applications
by Mitsuhisa Sato
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XcalableMP was taken as a parallel programming language project in the FLAGSHIP 2020 project, which was to develop the Japanese flagship supercomputer, Fugaku, for improving the productivity of parallel programing. XcalableMP is now available on Fugaku and its performance is enhanced by the Fugaku interconnect, Tofu-D.
The global-view programming model of XcalableMP, inherited from High-Performance Fortran (HPF), provides an easy and useful solution to parallelize data-parallel programs with directives for distributed global array and work distribution and shadow communication. The local-view programming adopts coarray notation from Coarray Fortran (CAF) to describe explicit communication in a PGAS model. The language specification was designed and proposed by the XcalableMP Specification Working Group organized in the PC Consortium, Japan.
The Omni XcalableMP compiler is a production-level reference implementation of XcalableMP compiler for C and Fortran 2008, developed by RIKEN CCS and the University of Tsukuba. The performance of the XcalableMP program was used in the Fugaku as well as the K computer. A performance study showed that XcalableMP enables a scalable performance comparable to the message passing interface (MPI) version with a clean and easy-to-understand programming style requiring little effort.
Book Description
XcalableMP is a directive-based parallel programming language based on Fortran and C, supporting a Partitioned Global Address Space (PGAS) model for distributed memory parallel systems. This open book presents XcalableMP language from its programming model and basic concept to the experience and performance of applications described in XcalableMP.XcalableMP was taken as a parallel programming language project in the FLAGSHIP 2020 project, which was to develop the Japanese flagship supercomputer, Fugaku, for improving the productivity of parallel programing. XcalableMP is now available on Fugaku and its performance is enhanced by the Fugaku interconnect, Tofu-D.
The global-view programming model of XcalableMP, inherited from High-Performance Fortran (HPF), provides an easy and useful solution to parallelize data-parallel programs with directives for distributed global array and work distribution and shadow communication. The local-view programming adopts coarray notation from Coarray Fortran (CAF) to describe explicit communication in a PGAS model. The language specification was designed and proposed by the XcalableMP Specification Working Group organized in the PC Consortium, Japan.
The Omni XcalableMP compiler is a production-level reference implementation of XcalableMP compiler for C and Fortran 2008, developed by RIKEN CCS and the University of Tsukuba. The performance of the XcalableMP program was used in the Fugaku as well as the K computer. A performance study showed that XcalableMP enables a scalable performance comparable to the message passing interface (MPI) version with a clean and easy-to-understand programming style requiring little effort.
This open book is licensed under a Creative Commons License (CC BY). You can download XcalableMP PGAS Programming Language ebook for free in PDF format (12.6 MB).
Table of Contents
Chapter 1
XcalableMP Programming Model and Language
Chapter 2
Implementation and Performance Evaluation of Omni Compiler
Chapter 3
Coarrays in the Context of XcalableMP
Chapter 4
XcalableACC: An Integration of XcalableMP and OpenACC
Chapter 5
Mixed-Language Programming with XcalableMP
Chapter 6
Three-Dimensional Fluid Code with XcalableMP
Chapter 7
Hybrid-View Programming of Nuclear Fusion Simulation Code in XcalableMP
Chapter 8
Parallelization of Atomic Image Reconstruction from X-ray Fluorescence Holograms with XcalableMP
Chapter 9
Multi-SPMD Programming Model with YML and XcalableMP
Chapter 10
XcalableMP 2.0 and Future Directions
Book Details
Title
XcalableMP PGAS Programming Language
Subject
Computer Science
Publisher
Springer
Published
2021
Pages
265
Edition
1
Language
English
ISBN13
9789811576829
ISBN10
9811576823
ISBN13 Digital
9789811576836
ISBN10 Digital
9811576831
PDF Size
12.6 MB
License
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