CALL FOR PAPERS
Eleventh IEEE Workshop on
to be held in conjunction with IPDPS
May 25-29, 2015
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 (HP-PAC). HP-PAC 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.
Topics of interest include but are not limited to the following:
The proceedings of this workshop will be published together with the proceedings of other IPDPS '15 workshops by the IEEE Computer Society Press.
Paper must be submitted electronically via EDAS (http://edas.info). Authors must submit papers formatted in IEEE Computer Society two-column format (in PDF format) not exceeding 8 single-spaced pages, including abstract, contact address, figures, and references. The format details can be found here and further instructions can be found here. You can also use the direct link to HPPAC paper submission.
Note: The PDF file must be viewable using "acroread" or similar common utility. Also, your paper should use a page size of 8.5x11 inches (LETTER sized output not A4).
11 January 2015 Extended to 18 January 2015 at 11:59PM EST
Author notification: 14 February 2015
Camera-ready due: 28 February 2015
Wu-chun Feng, Virginia Tech, USA
Barry Rountree, Lawrence Livermore National Laboratory, USA
Patrick Bridges, University of New Mexico, USA
Laura Carrington, San Diego Supercomputing Center, USA
Jonathan Eastep, Intel, 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
Shuaiwen Leon Song, Pacific Northwest National Laboratory, USA
Email: Wu Feng (feng -at- cs.vt.edu), Barry Rountree (rountree4 -at- llnl.gov), Shuaiwen Leon Song (Shuaiwen.Song -at- pnnl.gov)