[Apologies if you got multiple copies of this email. This message is
sent to . If you'd like to opt out of these
announcements, information on how to unsubscribe is available at the
bottom of this email.]
******************************
(https://lists.mcs.anl.gov/
If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.
(https://lists.mcs.anl.gov/
******************************
sent to . If you'd like to opt out of these
announcements, information on how to unsubscribe is available at the
bottom of this email.]
4th International Workshop on
Energy Efficient SuperComputing (E2SC)
November 14th, 2016
Held in conjunction with SC'16, Salt Lake City, Utah, USA
November 13th-18th 2016
Call For Papers
------------- EXTENDED DEADLINE FOR SUBMISSIONS: September 9th, 2016 ----------------------
Description
-----------
We will be ushering in an era with power and energy consumption as the
primary concerns for scalable computing in the exascale era and beyond. To
achieve viable high performance, revolutionary methods are required with a
stronger integration among hardware features, system software and applications.
Equally important are the capabilities for fine-grained spatial and temporal
measurement and control to facilitate energy efficient computing across all
layers. Current approaches for energy efficient computing rely heavily on power
efficient hardware in isolation. However, it is pivotal for hardware to expose
mechanisms for energy efficiency to optimize power and energy consumption for
various workloads and to reduce data motion, a major component of energy use.
At the same time, high fidelity measurement techniques, typically ignored in
data-center level measurement, are of high importance for scalable and energy
efficient inter-play in different layers of application, system software and
hardware.
This workshop seeks to address important energy efficiency aspects in the
HPC community that have not been previously addressed in the data center or
cloud computing communities. Emphasis is given to the applications view
related to
significant energy efficiency improvements and to the required
hardware/software stack that must include necessary power and performance
measurement and analysis harnesses.
Current tools are often limited by hardware capabilities and their lack of
information about the characteristics of a given workload/application. In the
same manner, hardware techniques, like dynamic voltage frequency scaling, are
often limited by their granularity (very coarse power management) or by their
scope (a very limited system view). More rapid realization of energy savings
will require significant increases in measurement resolution and optimization
techniques. Moreover, the interplay between performance, power and
reliability add another layer of complexity to this already difficult group of
challenges.
Workshop Focus
--------------
We encourage submissions in the following areas:
- Tools for analyzing power and energy with different granularities and
scope from hardware (e.g. component, core, node, rack, system) or
software views (e.g. threads, tasks, processes, etc) or both.
- Techniques that enable power and energy optimizations at different
scale levels for HPC systems.
- Integration of power aware techniques in applications and throughout
the software stack of HPC systems.
- Characterization of current state-of-the-art HPC system and
applications in terms of Power.
- Disruptive hardware or infrastructure technologies for energy-efficient
supercomputing
- Analysis of future technologies that will provide improved energy
consumption and management on future HPC systems.
- Tools and techniques for exploring trade-offs between energy efficiency
and resilience.
Organizing Committee
--------------------
General Chairs: Kirk Cameron, Virginia Tech, USA
Adolfy Hoisie, PNNL, USA
Darren Kerbyson, PNNL, USA
David Lowenthal, Arizona State University, USA
Dimitrios S. Nikolopoulos,Queen's University of Belfast,UK
Sudha Yalamanchili, Georgia Institute of Technology, USA
Program Chair: Kevin Barker, PNNL, USA
Rong Ge, Marquette University, USA
Publicity Chair: Joseph Manzano, PNNL, USA
European Liaison: Michele Weiland, EPCC, UK
Proceedings Chair: Andres Marquez, PNNL, USA
Provisional Program Committee
-----------------------------
Natalie Bates Energy Efficient HPC Working Group, USA
Laura Carrintgton San Diego Supercomputing Center, USA
Sunita Chandrasekaran University of Delaware, USA
Vladimir Getov University of Westminster, UK
Roberto Gioiosa Pacific Northwest National Lab, USA
Eric van Hensbergen ARM, USA
Karen Karavanic Portland State University, USA
Lennart Johnsson, University of Houston, USA
Hyesoon Kim Georgia Tech, USA
James Laros, Sandia National Laboratory, USA
Dong Li Oak Ridge National Lab, USA
Aniruddha Marathe Lawrence Livermore National Lab, USA
Benoit Meister Reservoir Labs, USA
Lenny Oliker Lawrence Berkeley National Lab, USA
Tapasya Patki Lawrence Livermore National Lab, USA
Barry Rountree Lawrence Livermore National Lab, USA
Sameer Shende University of Oregon, USA
Shauwein (Leon) Song Pacific Northwest National Lab, USA
Nick Wright Lawrence Berkeley National Lab, USA
Important Dates
---------------
Paper Submission Extended to 9th September 2016
Paper Notification 23rd September 2016
Final Papers Due 3rd October 2016
Conference Date 14th November 2016
Submission Guidelines
---------------------
Papers should not exceed eight single-space pages (including figures, tables
and references) using a 10-point on 8.5x11-inch pages. Submissions will be
judged on correctness, originality, technical strength, significance,
presentation quality and appropriateness. Submitted papers should not have
appeared in or under consideration for another venue. A full peer-review
processes will be followed with each paper being reviewed by at least 3
members of the program committee. Submissions will be made through EasyChair
******************************
(https://lists.mcs.anl.gov/
If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.
(https://lists.mcs.anl.gov/
******************************
No comments:
Post a Comment