HIPS 19 (http://www.eecis.udel.edu/~
Overview
The 19th HIPS workshop, to be held as a full-day meeting on May 19, 2014 at
the IPDPS 2014 conference in Phoenix, focuses on high-level programming of
multiprocessors, compute clusters, and massively parallel machines. Like
previous workshops in the series, which was established in 1996, this event
serves as a forum for research in the areas of parallel applications,
language design, compilers, runtime systems, and programming tools. It
provides a timely and lightweight forum for scientists and engineers to
present the latest ideas and findings in these rapidly changing fields. In
our call for papers, we especially encouraged innovative approaches in the
areas of emerging programming models for large-scale parallel systems and
many-core architectures.
Topics of interest to the HIPS workshop include but are not limited to:
- New programming languages and constructs for exploiting parallelism and
locality
- Experience with and improvements for existing parallel languages and
run-time environments such as MPI, OpenMP, Cilk, UPC, Co-array Fortran,
X10, and Chapel
- Parallel compilers, programming tools, and environments
- (Scalable) tools for performance analysis, modeling, monitoring, and
debugging
- OS and architectural support for parallel programming and debugging
- Software and system support for extreme scalability including fault
tolerance
- Programming environments for heterogeneous multicore systems and
accelerators such as GPUs, FPGAs, Cells, and MICs
Important dates
Paper submission: January 24, 2014
Author notification: March 2, 2014
Camera-ready: March 14, 2014
Workshop Chair
John Cavazos, University of Delaware - Newark, DE
Steering Committee
Rudolf Eigenmann, Purdue University - West Lafayette, IN
Michael Gerndt, Technische Universitat - Munchen, Germany
Frank Mueller, North Carolina State University - Raleigh, NC
Craig Rasmussen, University of Oregon - Eugene, OR
Martin Schulz, Lawrence Livermore National Laboratory - Livermore, CA
Program Committee
Tarek Abdelrahman, University of Toronto - Toronto
Greg Bronevetsky, Lawrence Livermore National Laboratory - Livermore, CA
Brad Chamberlain,Cray - Seattle, WA
Alastair Donaldson, Imperial College - London, United Kingdom
Franz Franchetti, Carnegie Mellon University - Pittsburgh, PA
Benedict Gaster, Qualcomm
Hakan Grahn, Blekinge Institute of Technology, Sweden
Christos Kartsaklis, Oak Ridge National Laboratory - Oak Ridge, TN
Jaejin Lee, Seoul National University - Seoul, Korea
Paul Kelly, Imperial College - London, United Kingdom
Andrew Lumsdaine, Indiana University - Bloomington, IN
Tim Mattson, Intel Corp. - DuPont, WA
Kathryn Mohror, Lawrence Livermore National Laboratory - Livermore, CA
Matthias S. Mueller, RWTH Aachen University- Aachen, Germany
Stephen Olivier, University of North Carolina - Chapel Hill, NC
Antoniu Pop, University of Manchester - Manchester, United Kingdom
Philip Roth, Oak Ridge National Laboratory - Oak Ridge, TN
Michael Spear, Lehigh University - Bethlehem, PA
Nathan Tallent, Pacific Northwest National Laboratory - Richland, WA
Zheng (Eddy) Zhang, Rutgers University - New Brunswick, NJ
Overview
The 19th HIPS workshop, to be held as a full-day meeting on May 19, 2014 at
the IPDPS 2014 conference in Phoenix, focuses on high-level programming of
multiprocessors, compute clusters, and massively parallel machines. Like
previous workshops in the series, which was established in 1996, this event
serves as a forum for research in the areas of parallel applications,
language design, compilers, runtime systems, and programming tools. It
provides a timely and lightweight forum for scientists and engineers to
present the latest ideas and findings in these rapidly changing fields. In
our call for papers, we especially encouraged innovative approaches in the
areas of emerging programming models for large-scale parallel systems and
many-core architectures.
Topics of interest to the HIPS workshop include but are not limited to:
- New programming languages and constructs for exploiting parallelism and
locality
- Experience with and improvements for existing parallel languages and
run-time environments such as MPI, OpenMP, Cilk, UPC, Co-array Fortran,
X10, and Chapel
- Parallel compilers, programming tools, and environments
- (Scalable) tools for performance analysis, modeling, monitoring, and
debugging
- OS and architectural support for parallel programming and debugging
- Software and system support for extreme scalability including fault
tolerance
- Programming environments for heterogeneous multicore systems and
accelerators such as GPUs, FPGAs, Cells, and MICs
Important dates
Paper submission: January 24, 2014
Author notification: March 2, 2014
Camera-ready: March 14, 2014
Workshop Chair
John Cavazos, University of Delaware - Newark, DE
Steering Committee
Rudolf Eigenmann, Purdue University - West Lafayette, IN
Michael Gerndt, Technische Universitat - Munchen, Germany
Frank Mueller, North Carolina State University - Raleigh, NC
Craig Rasmussen, University of Oregon - Eugene, OR
Martin Schulz, Lawrence Livermore National Laboratory - Livermore, CA
Program Committee
Tarek Abdelrahman, University of Toronto - Toronto
Greg Bronevetsky, Lawrence Livermore National Laboratory - Livermore, CA
Brad Chamberlain,Cray - Seattle, WA
Alastair Donaldson, Imperial College - London, United Kingdom
Franz Franchetti, Carnegie Mellon University - Pittsburgh, PA
Benedict Gaster, Qualcomm
Hakan Grahn, Blekinge Institute of Technology, Sweden
Christos Kartsaklis, Oak Ridge National Laboratory - Oak Ridge, TN
Jaejin Lee, Seoul National University - Seoul, Korea
Paul Kelly, Imperial College - London, United Kingdom
Andrew Lumsdaine, Indiana University - Bloomington, IN
Tim Mattson, Intel Corp. - DuPont, WA
Kathryn Mohror, Lawrence Livermore National Laboratory - Livermore, CA
Matthias S. Mueller, RWTH Aachen University- Aachen, Germany
Stephen Olivier, University of North Carolina - Chapel Hill, NC
Antoniu Pop, University of Manchester - Manchester, United Kingdom
Philip Roth, Oak Ridge National Laboratory - Oak Ridge, TN
Michael Spear, Lehigh University - Bethlehem, PA
Nathan Tallent, Pacific Northwest National Laboratory - Richland, WA
Zheng (Eddy) Zhang, Rutgers University - New Brunswick, NJ
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