CFP: Accelerator Programming using Directives (WACCPD) + Best Paper AWARD‏‏

Third Workshop on Accelerator Programming using Directives (WACCPD)

 In cooperation with ACM SIGHPC

Monday, November 14, 2016

co-located with 

SC16: The International Conference for High Performance Computing, Networking, 
Storage and Analysis

November 13-18, 2016 

Call for Papers

One of the hard realities is that the hardware continues to evolve very rapidly 
with diverse memory subsystems or cores with different ISAs or accelerators of 
varied types. The HPC community is in constant need for sophisticated software 
tools and techniques to port legacy code to these emerging platforms. Maintaining 
a single code base yet achieving performance portable solution continues to pose 
a daunting task. Directive-based programming models such as OpenACC, OpenMP tackle 
this issue by offering scientists a high-level approach to accelerate scientific 
applications and develop performance portable solutions. This enables accelerators 
to be first-class citizens for HPC!

To address the rapid pace of hardware evolution, developers continue to explore and 
add richer features to the various (parallel) programming standards. Domain scientists 
continue to explore the programming and tools space while preparing themselves for 
future Exascale systems.

This workshop aims to solicit papers that explore innovative language features – their 
implementations, compilation & runtime scheduling techniques, performance optimization 
strategies, auto-tuning tools exploring the optimization space and so on.

WACCPD has been one of the major forums for bringing together the users, developers 
and tools community to share their knowledge and experiences of using directives and 
similar approaches to program emerging complex systems.

Important Deadlines

Submission Deadline: August 22nd, 2016 AoE
Author notification: September 30th, 2016
Camera Ready papers due: October 2nd, 2016 AOE
 Topics of interest for workshop submissions include (but are not limited to):

Compiler and Runtime support for current and emerging architectures
Language-based extensions
Memory management using directives
Performance evaluation and lessons learnt
Auto-tuning and optimization strategies
Programming experience porting applications in any domain
Extensions to and shortcomings of current accelerator directives APIs
Hybrid heterogeneous or many-core programming with accelerator directives with other 
models (i.e. OpenMP, MPI, OpenSHMEM)
Scientific libraries interoperability with accelerator directives
Experiences in implementing compilers for accelerator directives on newer architectures
Low level communication APIs or runtimes that support accelerator directives
Asynchronous execution and scheduling (heterogeneous tasks)
Power / energy studies
Static analysis and verification tools
Modeling and performance analysis tools
Benchmarks and validation suites
Best Paper Award:

NVIDIA has generously offered to sponsor the ‘Best Paper Award’ with NVIDIA’s newest 
Pascal compute capable card.  This award will be given to the author(s) of  the paper 
selected by the Technical Program Committee and the Program Chairs. The award will be 
determined from viewpoints of the technical and scientific merits, impact on the 
science and engineering of the research work and the clarity of presentation of the 
research contents in the paper.  

Paper Submission Guidelines

Submissions are limited to 10 pages. They must follow the ACM format
The 10-page limit includes figures, tables, and appendices, but does not include 
references, for which there is no page limit.

Papers should be submitted electronically via EasyChair:

Submitted papers should not have appeared in or be under consideration for a different 
workshop, conference or journal. It is also expected that all accepted papers will be 
presented at the workshop by one of the authors.

Journal Special Issue

A Special issue of the International Journal of High Performance Computing and Networking 
(IJHPCN) titled ‘High Level Programming Approaches for Accelerators’ will feature invited 
contributions from the workshop. These special issues will be edited by Sunita 
Chandrasekaran and Guido Juckeland. The submission to this special issue is by invitation only.

 Steering Committee:

Barbara Chapman (StonyBrook University, cOMPunity, USA)
Oscar Hernandez (ORNL, USA)
Kuan-Ching Li (Providence University, Taiwan)
Satoshi Matsuoka (Titech, Japan)
Duncan Poole (OpenACC)
Thomas Schulthess (ORNL, USA)
Jeff Vetter (ORNL, USA)

Program Co-Chairs:

Guido Juckeland, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
Sunita Chandrasekaran, University of Delaware, Newark, DE, USA
Program Committee:

Christopher Bergstorm (Pathscale)
James Beyer (NVIDIA, USA)
Henri Callandra (TOTAL, USA)
Robert Dietrich (TU Dresden, Germany)
Fernanda Foertter (ORNL, USA)
Mark Govette (NOAA, USA)
Georg Hager (FAU, Germany)
Jeff Hammond (Intel, USA)
Christian Iwainsky (TU Darmstadt, Germany)
Arpith J. Jacob (IBM, USA)
Henri Jin (NASA-Ames, USA)
Wayne Joubert (ORNL, USA)
Michael Klemm (Intel, Germany)
Seyong Lee (ORNL, USA)
Antonio J. Pena (BSC, Spain)
William Sawyer (CSCS, Switzerland)
Thomas Schwinge (MentorGraphics, Germany)
Ray Sheppard (Indiana University, USA)
Peter Steinbach (Scionics, Germany)
Christian Terboven (RWTH Aachen University, Germany)
Michael Wolfe (NVIDIA, USA)

Keynote Speaker:

Jack Wells, the Director of Science for the Oak Ridge Leadership Computing Facility 
(OLCF), will give the Keynote at the workshop. 

OLCF is a DOE Office of Science national user facility, and the Titan supercomputer 
is located at the Oak Ridge National Laboratory (ORNL). 

Wells is responsible for the scientific outcomes of the OLCF’s user programs. Wells 
has previously lead both ORNL’s Computational Materials Sciences group in the Computer 
Science and Mathematics Division and the Nanomaterials Theory Institute in the Center 
for Nanophase Materials Sciences. Prior to joining ORNL as a Wigner Fellow in 1997, 
Wells was a postdoctoral fellow within the Institute for Theoretical Atomic and 
Molecular Physics at the Harvard-Smithsonian Center for Astrophysics. 

Wells has a Ph.D. in physics from Vanderbilt University, and has authored or 
co-authored over 80 scientific papers and edited 1 book, spanning nanoscience, 
materials science and engineering, nuclear and atomic physics computational science, 
applied mathematics, and text-based data analytics.


Pls email  for any questions