In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here.
Power consumption is a major hurdle on the road the exascale. In this dissertation, Stephanie Labasan of the University of Oregon focuses on power consumption by visualization and analysis applications, which tend to be more data-intensive than traditional HPC applications. She examines power/performance tradeoffs for popular algorithms under different configurations, demonstrating that additional performance can be gained by redistributing power based on predicted performance.
Author: Stephanie Alyssa Labasan
HPC-as-a-service allows users to access supercomputing power in a simple and intuitive way without purchasing their own hardware. In this paper, written by a team from Germany and the Czech Republic, the authors present their own in-house application framework for HPC-as-a-Service: “High-End Application Execution Middleware,” or “HEAppE Middleware.” The authors describe how their architecture “enables unified access to different HPC systems through simple object-oriented web-based APIs” and outline the results of several pilot use cases.
Authors: Vaclav Svaton, Jan Martinovic, Jan Krenek, Thomas Esch and Pavel Tomancak.