[hpc-announce] CFP: HPCloudSys - The First Workshop on the Science of High-Performance Cloud Systems - Luxembourg, Dec. 12, 2016

Dmitry Duplyakin dmitry.duplyakin at colorado.edu
Mon Aug 1 05:19:14 CDT 2016

*CFP: The First Workshop on the Science of High-Performance Cloud Systems
(HPCloudSys) *
Co-located with CloudCom 2016, Luxembourg, December 12, 2016

Refer to the workshop page for the most up-to-date information:

The First Workshop on the Science of High-Performance Cloud Systems
(HPCloudSys) seeks to bring together researchers and practitioners who work
at the intersection of HPC and Cloud Computing to foster conversations
about the systems aspects of HPC computations in the cloud. While the cloud
promises cheap, efficient, and elastic compute cycles, there are a number
of challenges at a systems level to running efficient HPC computations in
the cloud. There has been a significant interest in recent years in science
and engineering research computing in cloud environments. Work on these
topics (some are listed below) is necessary in order to ensure effective
and efficient computation in the cloud. There also arise many
methodological challenges, in terms of the ways that environments are
built, computations are orchestrated, and data are collected, archived, and
shared. Our motivation in running this workshop is to foster more
conversation about clouds for research from the perspective of cloud
computing and the core recognized strengths of cloud systems, rather than
from a perspective of “HPC taken to the cloud.”

Topics of interest include (but are not limited to):
- Systems-level aspects of computing in the cloud, including:
  * Low-latency and low-jitter virtualization in the cloud
  * Storage and network support for HPC applications in the cloud,
including computation-aware resource provisioning
  * Technologies for capturing execution environments, such as containers
- Tools and methodologies for HPC in the cloud, including:
  * Orchestration of computation in the cloud
  * Dealing with variability of computations in the cloud
  * Collecting, processing, archiving, and cataloging of results
- Reproducibility and repeatability of science in the cloud

*Discussions at the Workshop*
The workshop will facilitate exchange of experience in the following areas:

- “HPC for the 99 Percent”, “Production Cloud”, “Deeply Programmable Cloud”
– What do these slogans actually mean at this point in time? Our overall
goal is to come up with a common understanding of the range of
state-of-the-art technologies that allow to build systems that best satisfy
researchers’ needs.
- Scale versus Functionality – Where are the discussed systems in this
Integration – How are these systems integrated with other campus and
national cyberinfrastructures?
- Return on investment - why should the NSF invest in clouds
- Lessons Learned – What major design and technology transformations have
occurred since these systems have been proposed and deployed?

The workshop will feature two keynote speakers (TBD): one from academia,
and one from industry. There will also be brief presentations from cloud
facilities that are available to researchers, to help acquaint participants
with facilities and technologies that may benefit their work. The remainder
of the time will be used for presentation of accepted papers, with ample
time reserved for discussion. Attendance will be open to all (not just

*Important Dates*
Paper submission: September 2, 2016
Notification of acceptance:     September 15, 2016
Camera-ready version:           September 21, 2016
Workshop date:         December 12, 2016
CloudCom conference dates: December 12-15, 2016

Submissions should be in the IEEE CS format (no longer than 5 pages).
Submissions must be original and should not have been published previously
or be under consideration for publication while being evaluated for this

Accepted workshop papers will be published in a supplement of the
Proceedings of IEEE CloudCom 2016, and submitted to IEEE Xplore
(conditioned by the presentation at the workshop by the author).

Authors are invited to submit papers through the conference submission
system: https://easychair.org/conferences/?conf=hpcloudsys16

Dmitry Duplyakin, University of Colorado
Robert Ricci, University of Utah / CloudLab
Craig Stewart, Indiana University / Jetstream

*Program Committee*
Jed Brown, University of Colorado, Boulder
Matthew Woitaszek, Walmart Global eCommerce
Daniel McDonald, Institute for Systems Biology
Caleb Phillips, National Renewable Energy Laboratory
Paul Ruth , Renaissance Computing Institute
Amy Apon, Clemson University
Hari Sundar, University of Utah
Paul Müller, Technische Universität Kaiserslautern

More TPC members yet to be named.
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