SC16 Workshop, 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 

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.

 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
Important Deadlines

Submission Deadline: August 22nd, 2016 AoE
Author notification: September 30th, 2016
Camera Ready papers due: October 2nd, 2016 AOE
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)
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.