[hpc-announce] CFP: International Workshop on OpenMP (IWOMP2022)

Brandon Neth brandonneth at email.arizona.edu
Mon Mar 28 15:07:17 CDT 2022


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+ IWOMP 2022 
+ 18th International Workshop on OpenMP 
+ September 21-23, 2022 
+ University of Tennessee, Chattanooga, TN USA 
+ https://www.iwomp.org <https://www.iwomp.org/> 

+ Submission deadline: May 13, 2022 (AoE) 
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The International Workshop on OpenMP (IWOMP) is the annual workshop dedicated to the promotion and advancement of all aspects of parallel programming with OpenMP. This pioneering workshop has been attracting an international audience of leading academic and industrial experts since 2005 and is the premier forum to present and discuss issues, trends, recent research ideas, and results related to parallel programming with OpenMP. 

We solicit quality submissions of unpublished technical papers that detail innovative, original research and development related to OpenMP. 

IWOMP 2022 will be hosted by the University of Tennessee, Chattanooga and will be colocated with EuroMPI 2022. 

BACKGROUND 
------------ 
As computing hardware has evolved from simple core reproduction to advanced SIMD units, deeper memories, and heterogeneous computing, OpenMP has also evolved and extended its application interface to harness new capabilities throughout the spectrum of hardware advances. The 5.0, 5.1 and 5.2 versions of the OpenMP sp08ecification have established OpenMP as the leading API for on-node heterogeneous parallelism that supports all versions of the C/C++ and Fortran base programming languages. 

Advances in technologies, such as multicore processors and OpenMP devices (accelerators such as GPGPUs, DSPs or FPGAs), Multiprocessor Systems on a Chip (MPSoCs), and recent developments in OpenMP itself (e.g., metadirectives and variants for selecting device- and architecture-specific directives) present new opportunities and challenges for software and hardware developers. Recent advances in the C, C++ and Fortran base languages also offer interesting opportunities and challenges to the OpenMP programming model. 

Theme for 2022: OpenMP in a Modern World 
From Multi-device Support to Meta Programming 
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As most HPC systems are now comprised not only of multicore CPUs but also feature multiple accelerators, such as GPGPUs and FPGAs, programming model support for handling multiple devices and multiple levels of parallelism within a node is growing in importance. Further, the growing diversity in node designs makes programming mechanisms that enable seamless optimization for multiple node types are also essential. This year's theme highlights OpenMP extensions, implementations and applications that facilitate using such systems and papers that detail them are particularly welcome. 

TOPICS 
------------ 
The topics include but are not limited to the following: 

+ Accelerated computing and offloading to devices 
+ Applications (in any domain) that rely on OpenMP 
+ Data mining and analysis or text processing and OpenMP 
+ Machine learning and OpenMP 
+ Memory model 
+ Memory policies and management 
+ Performance analysis and modeling 
+ Performance portability 
+ Proposed OpenMP extensions 
+ Runtime environment 
+ Scientific and numerical computations 
+ Tasking 
+ Tools 
+ Vectorization 

SUBMISSIONS 
------------ 
Submitted papers for review should be limited to 12 pages (not counting references). Authors of accepted papers will be asked to prepare a final paper of up to 15 pages (including references). 

+ Submission deadline: Friday, May 13 2022 (AoE) 
+ Acceptance Notifications: Friday, June 17 2022 (AoE) 
+ Camera Ready Copy Deadline: Friday, July 8 2022 (AoE) 
+ Submission Link: https://easychair.org/conferences/?conf=iwomp2022 <https://easychair.org/conferences/?conf=iwomp2022> 
+ Check for Updates: https://www.iwomp.org <https://www.iwomp.org/> 

Submitted papers should follow LNCS Guidelines found at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines <https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines> 

PROCEEDINGS 
------------ 
As in previous years, IWOMP 2022 will publish formal proceedings of the accepted papers in Springer's Lecture Notes in Computer Science (LNCS) series. 

ORGANIZING COMMITTEE 
-------------------- 
General Chair: Michael Klemm, AMD & OpenMP Architecture Review Board (OpenMP ARB) 
Program Co-Chairs: Bronis R. de Supinski, Lawrence Livermore National Laboratory (LLNL) 
Jannis Klinkenberg, RWTH Aachen University 
Local Arrangements Chairs: Anthony Skjellum, University of Tennessee at Chattanooga 
Purushotham Bangalore, University of Alabama 
Tutorial Chairs: Henry Jin, NASA Ames Research Center 
Publications Chair: Brandon Neth, University of Arizona 
Registration Chair: Tim Lewis 

STEERING COMMITTEE 
------------------ 
Matthias S. Müller, RWTH Aachen University, Germany (Chair) 
Eduard Ayguadé, BSC, Universitat Politècnica de Catalunya, Spain 
Mark Bull, EPCC, University of Edinburgh, UK 
Barbara Chapman, Hewlett Packard Enterprise, USA 
Rudolf Eigenmann, University of Delaware, USA 
William Gropp, University of Illinois, USA 
Michael Klemm, AMD & OpenMP ARB, Germany 
Kalyan Kumaran, Argonne National Laboratory, USA 
Simon McIntosh-Smith, University of Bristol, UK 
Dieter an Mey, RWTH Aachen University, Germany 
Kent Milfeld, TACC, USA 
Stephen L. Olivier, Sandia National Laboratories, USA 
Ruud van der Pas, Oracle, USA 
Alistair Rendell, Flinders University, Australia 
Mitsuhisa Sato, RIKEN Center for Computational Science, Japan 
Sanjiv Shah, Intel, USA 
Oliver Sinnen, University of Auckland, New Zealand 
Josemar Rodrigues de Souza, SENAI Unidade CIMATEC, Brazil 
Bronis R. de Supinski, Lawrence Livermore National Laboratory, USA 
Christian Terboven, RWTH Aachen University, Germany 
Matthijs van Waveren, OpenMP ARB 

PROGRAM COMMITEE 
---------------- 
Eduard Ayguade, Technical University of Catalunya 
Mark Bull, University of Edinburgh 
Florina Ciorba, University of Basel 
Sunita Chandrasekaran, University of Delaware 
Tom Deakin, University of Bristol 
Johannes Doerfert, Argonne National Laboratory 
Alex Duran, Intel 
Deepak Eachempati, Hewlett Packard Enterprise 
Jini Susan George, AMD 
Sheikh Ghafoor, Tennessee Tech University 
Oscar Hernandez, NVIDIA 
Paul Kelly, Imperial College London 
Michael Kruse, Argonne National Laboratory 
Kelvin Li, IBM 
Chunhua Liao, Lawrence Livermore National Laboratory 
Georgios Markomanolis, CSC 
Stephen Olivier, Sandia National Laboratories 
Swaroop Pophale, Oak Ridge National Laboratory 
Joachim Protze, RWTH Aachen University 
Mitsuhisa Sato, RIKEN Center for Computational Science 
Tom Scogland, Lawrence Livermore National Laboratory 
Xavier Teruel, Barcelona Supercomputing Center 
Terry Wilmarth, Intel 


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