Fourth International Workshop on Energy Efficient Supercomputing (E2SC)

4th International Workshop on
Energy Efficient Supercomputing

Nov 14th, 2016

Held in conjunction with;
SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis
Salt Lake City, Utah, USA
November 13th - 18th, 2016


With Exascale systems on the horizon, we have ushered in an era with power and energy consumption as the primary concerns for scalable computing. To achieve viable high performance computing, 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 accross alllayers. 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. 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 the important energy efficiency aspects in the HPC community that have not been previously addressed by aspects covered 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.


          Paper Submission (Final Extension):           September 2, 2016 September 9, 2016
          Author Notification:                                     October 6, 2016
          Camera-Ready Copy:                                   October 10, 2016

Proceedings are available at here

Please do not forget to provide an evaluation here

Workshop in Cooperation with SIGHPC
Disclaimer: The BlueGene P supercomputer photo comes from Argonne National Laboratory's Flickr page, the oscilloscope and voltmeter photos come from the wikimedia commons and the ALMA correlator photo comes from ALMA (ESO/NAOJ/NRAO). These pictures are released under Creative Commons Attribution-Share Alike 3.0 Unported license.