[hpc-announce] CFP (deadline extended): The Eleventh International Workshop on High-Performance, Power-Aware Computing (HP-PAC)

Song, Shuaiwen Shuaiwen.Song at pnnl.gov
Thu Jan 8 12:15:45 CST 2015


                                    **************
                                    CALL FOR PAPERS
                                    ***************
   ================================================
                      The Eleventh IEEE Workshop on
    High-Performance, Power-Aware Computing (HP-PAC)
                                   May 29, 2015
                to be held in conjunction with IPDPS
                               May 25 - 29, 2015
                               Hyderabad, India
     ================================================
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).
   Topics of interest include but are not limited to the following.
   . Novel power-aware architectures for HPC
   . Power-aware middleware for HPC
   . Power-aware runtime systems for HPC
   . Reduced power/energy/heat algorithms & applications
   . Power- or cooling-constrained systems, software stacks, or application
   . Surveys or studies of power/energy/heat usage of HPC applications and systems
PROCEEDINGS
-----------
   The proceedings of this workshop will be published together with
   the proceedings of other IPDPS '15 workshops by the IEEE Digital Library.
PAPER SUBMISSIONS
-----------------
   All papers should not exceed 8 single-spaced, double column pages (US Letter)
   in 10pt font. All papers will be reviewed. Accepted papers will appear in
   the printed program book and CD-ROM proceedings of the main conference,
   IPDPS2015. The submission site is now open: http://hppac.cs.vt.edu/submit.html

IMPORTANT DATES
---------------
   Paper submission:        18 January  2015 at 11:59PM EST
   Author notification:     14 February 2015
   Camera-ready due:      28 February 2015
WORKSHOP CO-CHAIRS
------------------
   Wu Feng, Virginia Tech, USA
   Barry Rountree, Lawrence Livermore National Laboratory, USA

PUBLICITY CHAIR
-------------------
   Shuaiwen Leon Song, Pacific Northwest National Laboratory, USA
PROGRAM COMMITTEE
-----------------
  Patrick Bridges, University of New Mexico, USA
  Laura Carrington, San Diego Supercomputing Center, USA
  Roberto Gioiosa, Pacific Northwest National Laboratory, USA
  Carla Guillen, Leibniz Supercomputing Center, Germany
  Joseph Greathouse, AMD, USA
  Chung-Hsing Hsu, Oak Ridge National Laboratory, USA
  James Laros, Sandia National Laboratories, USA
  Aniruddha Marathe, University of Arizona, USA
  Naoya Maruyama, RIKEN Advanced Institute for Computational Science, Japan
  Tali Moreshet, Boston University, USA
  Mustafa Rafique, IBM Research, Ireland
  Suzanne Rivoire, Sonoma State University, USA
  Thomas Scogland, Lawenrce Livermore National Laboratory, USA
  Balaji Subramaniam, Virginia Tech, USA

CONTACT INFO ------------
web: http://hppac.cs.vt.edu/
email: Wu Feng [feng at cs.vt.edu], Barry Rountree [rountree4 at llnl.gov] and Shuaiwen Leon Song[Shuaiwen.Song at pnnl.gov]



-----------------------------
Shuaiwen Leon Song
Staff Research Scientist
Advanced Computing, Mathematics, and Data Division
Pacific Northwest National Lab, Richland, Washington
Office: 509-372-4189
Research Site: https://sites.google.com/site/shuaiwensongsresearch/

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