Call for Papers: First International Workshop on Hardware-Software Co-Design for High Performance Computing (Co-HPC 2014)
In conjunction with SC’14 and in collaboration with ACM SIGHPC
Monday, November 17, 2014
New Orleans, LA
Hardware-software co-design involves the concurrent design of hardware and software components of complex computer systems, whereby application requirements influence architecture design and hardware constraints influence design of algorithms and software. Concurrent design of hardware and software has been used for the past two decades for embedded systems in automobiles, avionics, mobile devices, and other such products, to optimize for design constraints such as performance, power, and cost. High performance computing (HPC) is facing a similar challenge as we move towards the exascale era, with the necessity of designing systems that run large-scale simulations with high performance while meeting cost and energy consumption constraints. The purpose of this workshop is to bring together researchers who are investigating the interrelationships between algorithms/applications, systems software, and hardware, and who are developing methodologies and tools for hardware-software co-design for HPC. We seek submissions that address various aspects of hardware-software co-design and that demonstrate collaboration between domain scientists, applied mathematicians, computer scientists, and hardware architects.
Topics of interest to the workshop include, but are not limited, to the following:
- methodologies for characterizing application requirements
- modeling and prediction of performance and energy consumption
- co-optimization for multiple objectives (such as performance, power, resilience)
- scalable, accurate architectural simulation
- system provisioning and configuration to match workload requirements and system constraints
- mapping of algorithms and applications to heterogeneous systems
- use of reconfigurable hardware for meeting domain-specific requirements
Submitted papers must be no more than 8 pages in length and must be in IEEE Proceedings format. Use the templates available athttp://www.ieee.org/ conferences_events/ conferences/publishing/ templates.html. All submissions should be to the EasyChair submissions website athttps://www.easychair.org/ conferences/?conf=cohpc2014.
Important Dates:
Submission deadline: August 22, 2014
Author notification: September 24, 2014
Final camera ready version due: October 8, 2014
Organizing Committee:
Shirley Moore, University of Texas at El Paso
Gregory Peterson, University of Tennessee at Knoxville
Richard Vuduc, Georgia Institute of Technology
Theresa Windus, Iowa State University
Advisory Board :
Jack Dongarra, University of Tennessee
John Luginsland, Air Force Office of Scientific Research
Karen Pao, Department of Energy
Jeffrey Vetter, Oak Ridge National Laboratory
Program Committee:
Richard Barrett, Sandia National Laboratory
David Bernholdt, Oak Ridge National Laboratory
Alexandru Calotoiu, German School of Simulation Sciences
Laura Carrington, San Diego SuperComputer Center
Edmond Chow, Georgia Institute of Technology
Anthony Danalis, University of Tennessee
John Feo, Pacific Northwest National Laboratory
Eric Freudenthal, University of Texas at El Paso
Alexander Gaenko, Iowa State University
Todd Gamblin, Lawrence Livermore National Laboratory
Mark Gordon, Iowa State University
Christos Kartsaklis, Oak Ridge National Laboratory
Robert Lucas, University of Southern California
Piotr Luszczek, University of Tennessee
Aniruddha Marathe, University of Arizona
Heike McCraw, University of Tennessee
Allen McPherson, Los Alamos National Laboratory
Ryan Olson, Cray
J. Ramanujam, Louisiana State University
Ramon Ravelo, University of Texas at El Paso
Lina Sawalha, Western Michigan University
Masha Sosinkina, Old Dominion University
Bert Still, Lawrence Livermore National Laboratory
Hiroyuki Takizawa, Tokohu University
Patricia Teller, University of Texas at El Paso
Ananta Tiwari, San Diego Supercomputer Center
Vincent Weaver, University of Maine
Samuel Williams, Lawrence Berkeley Laboratory
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