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HPPAC 2010
HPPAC 2009
HPPAC 2008
HPPAC 2007
HPPAC 2006

HPPAC 2005


Important Dates

 

Paper submission:
20 December 2010 at 11:59PM EST extented to
31 December 2010


Author notification:
7 February 2011


Camera-ready due:
21 February 2011


Anchorage (Alaska) USA

The Seventh Workshop on
High-Performance, Power-Aware Computing

May
16, 2011, Anchorage, Alaska, USA

 
 
 

The 7th Workshop on High-Performance, Power-Aware Computing (HPPAC 2011) will be held May 16, 2011 in Anchorage, Alaska, USA, in conjunction with the 25th Annual International Parallel & Distributed Processing Symposium (IPDPS 2011), May May 16-20, 2011, Anchorage, Alaska, USA

Keynote Address

Bronis R. de Supinski (LLNL)

Power Aware Computing for Large Scale Scientific Workloads

Power and energy are central concerns for both large scale systems applied to scientific workloads and corporate data centers and will become even more important as we look towards exascale systems. Systems such as Lawrence Livermore National Laboratory’s BlueGene/L and Oak Ridge National Laboratory’s Jaguar already have over 100,000 processor cores, while the planned ASC Sequoia system at LLNL will have over 1.5 million cores when it is deployed in FY12. While hardware techniques have proven sufficient to fit these systems within the power budgets of these HPC centers, we anticipate that continued increases in processing power will require application-level power-aware techniques. Our initial experiences demonstrate that substantial energy savings are possible with current systems for programs using the MPI and OpenMP programming models. In this talk, I will detail energy saving techniques such as load smoothing based on dynamic voltage and frequency scaling and dynamic concurrency throttling and their application to large scale scientific workloads.

Scope

High-performance computing is and has always been performance-oriented. However, a consequence of the push towards maximum performance is increased energy consumption, especially in datacenters and supercomputing centers. Moreover, as peak performance is rarely attained, some of this energy consumption results in little or no performance gain. In addition, large energy consumption costs datacenters and supercomputing centers a significant amount of money and wastes natural resources.

The main goal of this workshop is to provide a timely forum for the exchange and dissemination of new ideas, techniques, and research in high-performance, power-aware computing (HPPAC). HPPAC will present research that reduces (1) power consumption, (2) energy consumption, or (3) heat generation with little or no performance penalty in high-performance computing systems. In effect, the workshop aims to move towards "greener" solutions for datacenters and supercomputing centers. Examples include Green Destiny (2001), The Green Grid (2007), The Green500 List (2007), and the INRIA Green-Net Initiative (2008).

Submission Guidelines

To submit a paper, upload a postscript or PDF copy of the paper here. The paper should not exceed 8 single-spaced pages (US Letter ) in 11pt font or larger (click here for a template). All papers will be reviewed. The accepted papers will be published in the same printed program book and CD-ROM proceedings as the main conference IPDPS2011.

9.00-9.15 Opening
9.15-10.15 Keynote: Power Aware Computing for Large Scale Scientific Workloads
Bronis R. de Supinski (Lawrence Livermore National Laboratory)
10.15-10.45 Coffee break
10.45-12.15Session 1: Power aware scheduling
Temperature Aware Load Balancing for Parallel Applications: Preliminary Work
Osman Sarood, Abhishek Gupta, Laxmikant V. Kale
Design and Analysis of Heuristic Algorithms for Power-Aware Scheduling of Precedence Constrained Tasks
Keqin Li
Rack Aware Scheduling in HPC data centers
Vikas Patil, Vipin Chaudhary
1.30-3.30Session 2: Applications and trends
Emerging Trends on the Evolving Green500: Year Three
Tom Scogland, Balaji Subramaniam, Wu-chun Feng
Power Consumption of Mixed Precision in the Iterative Solution of Sparse Linear Systems
Hartwig Anzt, Enrique S. Quintana-Ortí, Vincent Heuveline, Björn Rocker, Maribel Castillo, Juan Fernández, Rafael Mayo
Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications
Vaibhav Sundriyal, Masha Sosonkina, Fang Liu, Michael Schmidt
Evaluation of the Energy Performance of Dense Linear Algebra Kernels on Multi-Core and Many-Core Processors
Maribel Castillo, Juan Fernández, Manel Dolz, Rafael Mayo, Enrique S. Quintana-Ortí, Vicente Roca
3.30-4.00 Coffee break
4.00-5.30Session 3: Low power hardware components
LAPP: A Low Power Array Accelerator with Binary Compatibility
Naveen Devisetti, Takuya Iwakami, Kazuhiro Yoshimura, Takashi Nakada,Jun Yao,Yasuhiko Nakashima
Performance, Power, and Thermal Analysis of Low-Power Processors for Scale-Out Systems
Phillip Stanley-Marbell, Victoria Caparrós Cabezas
Design and Evaluation of a Novel PCI Express Direct Link PEARL and Its Implementation PEACH
Toshihiro Hanawa,Taisuke Boku, Shin'ichi Miura, Mitsuhisa Sato
5.30-5.40Closing

Submission Guidelines

To submit a paper, upload a postscript or PDF copy of the paper here. The paper should not exceed 8 single-spaced pages (US Letter ) in 11pt font or larger (click here for a template). All papers will be reviewed. The accepted papers will be published in the same printed program book and CD-ROM proceedings as the main conference IPDPS2011.

Topics

  • Novel power-aware architectures for HPC
  • Power-aware middleware for HPC
  • Power-aware runtime systems for HPC
  • Reduced power/energy/heat algorithms & applications
  • Surveys or studies of power/energy/heat usage of HPC applications

Workshop Co-Chairs

  • Rong Ge, Marquette University, USA

  • Roberto Gioiosa, Barcelona Supercomputing Center, Spain

Program Committee

  • Frank Bellosa, University of Karlsruhe, Germany
  • Taisuke Boku, University of Tsukuba, Japan
  • Yuan Chen, HP Labs, USA
  • Chen-Yong Cher, IBM, USA
  • Marco Cesati, University of Rome "Tor Vergata", Italy
  • Bronis de Supinski, LLNL, USA
  • Xizhou Feng, Marquette University, USA
  • Wu-chun Feng, Virginia Tech, USA
  • Chung-Hsing Hsu, Oak Ridge National Laboratory, USA
  • Canturk Isci, IBM, USA
  • Rob Knauerhase, Intel Labs, USA
  • Laurent Lefevre, INRIA, France
  • David Lowenthal, University of Arizona, USA
  • Hiroshi Nakashima, Kyoto University, Japan
  • Ripal Nathuji, Microsoft, USA
  • Karsten Schwan, Georgia Tech, USA
  • Jordi Torres, BSC, Spain