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HPCloudSys 2016 - First Workshop on the Science of High-Performance Cloud Systems (HPCloudSys)

Date2016-12-12 - 2016-12-15

Deadline2016-08-22

VenueLuxembourg, Luxembourg Luxembourg

Keywords

Websitehttp://2016cloudcom.ux.uis.no/conf/works...

Topics/Call fo Papers

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
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

Last modified: 2016-08-15 23:52:21