Table Of ContentBronis R. de Supinski
Stephen L. Olivier
Christian Terboven
Barbara M. Chapman
Matthias S. Müller (Eds.)
Scaling OpenMP
8
6
4
0 for Exascale Performance
1
S
C and Portability
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L
13th International Workshop on OpenMP, IWOMP 2017
Stony Brook, NY, USA, September 20–22, 2017
Proceedings
123
Lecture Notes in Computer Science 10468
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More information about this series at http://www.springer.com/series/7408
Bronis R. de Supinski Stephen L. Olivier
(cid:129)
Christian Terboven Barbara M. Chapman
(cid:129)
ü
Matthias S. M ller (Eds.)
Scaling OpenMP
for Exascale Performance
and Portability
13th International Workshop on OpenMP, IWOMP 2017
–
Stony Brook, NY, USA, September 20 22, 2017
Proceedings
123
Editors
Bronis R. deSupinski Barbara M.Chapman
Lawrence LivermoreNational Laboratory StonyBrookUniversity
Livermore, CA StonyBrook, NY
USA USA
StephenL. Olivier Matthias S.Müller
SandiaNational Laboratories RWTH Aachen University
Albuquerque, NM Aachen
USA Germany
Christian Terboven
RWTH Aachen University
Aachen
Germany
ISSN 0302-9743 ISSN 1611-3349 (electronic)
Lecture Notesin Computer Science
ISBN 978-3-319-65577-2 ISBN978-3-319-65578-9 (eBook)
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Preface
OpenMP is a widely accepted, standard application programming interface (API) for
high-level shared-memory parallel programming in Fortran, C, and C++. Since its
introduction in 1997, OpenMP has gained support from most high-performance
compiler and hardware vendors. Under the direction of the OpenMP Architecture
ReviewBoard(ARB),theOpenMPspecificationhasevolveduptoandbeyondversion
4.5.The4.5versionincludesseveralrefinementstoexistingsupportforheterogeneous
hardware environments, many enhancements to its tasking model including the task-
loop construct, and support for doacross loops. As indicated in the technical report
previewingversion5.0,itwillincludeadditionalnewfeaturessuchasatoolsinterface
and task reductions.
The evolution of the standard would be impossible without active research in
OpenMP compilers, runtime systems, tools, and environments. OpenMP is important
bothasastandaloneparallelprogrammingmodelandaspartofahybridprogramming
model for massively parallel, distributed memory systems built from multicore,
manycore, and heterogeneous node architectures. In fact, most of the growth in par-
allelism of the upcoming exascale systems is expected to come from increased paral-
lelismwithinanode.OpenMPoffersimportantfeaturesthatcanimprovethescalability
of applications on such systems.
The community of OpenMP researchers and developers is united under the
cOMPunity organization. This organization has held workshops on OpenMP around
the world since 1999: the European Workshop on OpenMP (EWOMP), the North
AmericanWorkshop onOpenMP Applicationsand Tools (WOMPAT),and theAsian
Workshop on OpenMP Experiences and Implementation (WOMPEI) attracted annual
audiences from academia and industry. The International Workshop on OpenMP
(IWOMP) consolidated these three workshop series into a single annual international
event that rotates across Europe, Asia-Pacific, and the Americas. The first IWOMP
workshop was organized under the auspices of cOMPunity. Since that workshop, the
IWOMP Steering Committee has organized these events and guided development
of the series. The first IWOMP meeting was held in 2005, in Eugene, Oregon, USA.
Since then, meetings have been held each year, in Reims, France; Beijing, China;
West Lafayette, USA; Dresden, Germany; Tsukuba, Japan; Chicago, USA; Rome,
Italy; Canberra, Australia; Salvador, Brazil; Aachen, Germany; and Nara, Japan. Each
workshop has drawn participants from research and industry throughout the world.
IWOMP 2017 continues the series with technical papers and tutorials. The IWOMP
meetings have been successful in large part due to generous support from numerous
sponsors.
TheIWOMPwebsite(www.iwomp.org)providesinformationonthelatestevent,as
well as links to websites from previous years’ events. This book contains proceedings
VI Preface
of IWOMP 2017. The workshop program included 23 technical papers, two keynote
talks, and a tutorial on OpenMP. The two-part paper by Leopold Grinberg, Carlo
Bertolli,andRiyazHaquewasselectedfortheBestPaperAward.Alltechnicalpapers
were peer reviewed by at least three different members of the Program Committee.
September 2017 Christian Terboven
Bronis R. de Supinski
Stephen L. Olivier
Organization
Program Committee Co-chairs
Bronis R. de Supinski Lawrence Livermore National Laboratory, USA
Stephen L. Olivier Sandia National Laboratories, USA
General Chair
Abid Malik Brookhaven National Laboratory, USA
Publication Chair
Christian Terboven RWTH Aachen University, Germany
Publicity Chair
Delafrouz Mirfendereski Stony Brook University, USA
Local Chair
Tony Curtis Stony Brook University, USA
Program Committee
Eduard Ayguadé BSC and Universitat Politecnica de Catalunya, Spain
James Beyer Nvidia, USA
Taisuke Boku University of Tsukuba, Japan
Mark Bull EPCC, University of Edinburgh, UK
Nawal Copty Oracle Corporation, USA
Alejandro Duran Intel, Spain
Deepak Eachempati Cray, USA
Nasser Giacaman University of Auckland, New Zealand
Oscar Hernandez Oak Ridge National Laboratory, USA
Chunhua Liao Lawrence Livermore National Laboratory, USA
Meifeng Lin Brookhaven National Laboratory, USA
Lawrence Meadows Intel, USA
John Mellor-Crummey Rice University, USA
Masahiro Nakao RIKEN AICS, Japan
Mitsuhisa Sato RIKEN AICS, Japan
Dirk Schmidl RWTH Aachen University, Germany
Thomas R.W. Scogland Lawrence Livermore National Laboratory, USA
Eric Stotzer Texas Instruments, USA
VIII Organization
Priya Unnikrishnan IBM Toronto Laboratory, Canada
Michael Zingale Stony Brook University, USA
IWOMP Steering Committee
Steering Committee Chair
Matthias S. Müller RWTH Aachen University, Germany
Steering Committee
Dieter an Mey RWTH Aachen University, Germany
Eduard Ayguadé BSC and Universitat Politecnica de Catalunya, Spain
Mark Bull EPCC, University of Edinburgh, UK
Barbara Chapman Stony Brook University, USA
Bronis R. de Supinski Lawrence Livermore National Laboratory, USA
Rudolf Eigenmann Purdue University, USA
William Gropp University of Illinois, USA
Michael Klemm Intel, Germany
Kalyan Kumaran Argonne National Laboratory, USA
Federico Massaioli CASPUR, Italy
Lawrence Meadows Intel, USA
Stephen L. Olivier Sandia National Laboratories, USA
Ruud van der Pas Oracle, USA
Alistair Rendell Australian National University, Australia
Mitsuhisa Sato University of Tsukuba, Japan
Sanjiv Shah Intel, USA
Josemar Rodrigues SENAI Unidade CIMATEC, Brazil
de Souza
Christian Terboven RWTH Aachen University, Germany
Matthijs van Waveren KAUST, Saudi Arabia
Contents
Best Paper
HandsonwithOpenMP4.5andUnifiedMemory:DevelopingApplications
for IBM’s Hybrid CPU + GPU Systems (Part I). . . . . . . . . . . . . . . . . . . . . 3
Leopold Grinberg, Carlo Bertolli, and Riyaz Haque
HandsonwithOpenMP4.5andUnifiedMemory:DevelopingApplications
for IBM’s Hybrid CPU + GPU Systems (Part II) . . . . . . . . . . . . . . . . . . . . 17
Leopold Grinberg, Carlo Bertolli, and Riyaz Haque
Advanced Implementations and Extensions
Leveraging OpenMP 4.5 Support in CLANG for Fortran. . . . . . . . . . . . . . . 33
Hyojin Sung, Tong Chen, Zehra Sura, and Tarique Islam
Compiling and Optimizing OpenMP 4.X Programs to OpenCL and SPIR . . . 48
Marcio M. Pereira, Rafael C.F. Sousa, and Guido Araujo
Extending OpenMP SIMD Support for Target Specific Code
and Application to ARM SVE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
Jinpil Lee, Francesco Petrogalli, Graham Hunter, and Mitsuhisa Sato
OpenMP Application Studies
OpenMP Tasking and MPI in a Lattice QCD Benchmark. . . . . . . . . . . . . . . 77
Larry Meadows and Ken-ichi Ishikawa
On the Performance of Parallel Tasking Runtimes for an Irregular Fast
Multipole Method Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92
Patrick Atkinson and Simon McIntosh-Smith
Porting VASP from MPI to MPI+OpenMP [SIMD]: Optimization
Strategies, Insights and Feature Proposals. . . . . . . . . . . . . . . . . . . . . . . . . . 107
Florian Wende, Martijn Marsman, Zhengji Zhao, and Jeongnim Kim
OpenMP(cid:1) SIMD Vectorization and Threading of the Elmer Finite
Element Software . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
Mikko Byckling, Juhani Kataja, Michael Klemm, and Thomas Zwinger
