Abstract
In this paper we summarize recent results and contributions from the NSF Expedition on Variability-Aware Software, a five year, multi-university effort to tackle the problem of hardware variations and its implications and opportunities in software. The Expedition has made contributions in characterization and online monitoring of variations (particularly in microprocessors and flash memories), proposed new coding techniques for variability-tolerant storage, provided tools and platforms for the development of variability-aware software, and created new runtime support systems for variability-aware task-scheduling and execution.
Funding statement: This material is based upon work supported by the National Science Foundation under Grant Nos. 1029030, 1028888, 1029783, 1028831, and 1029025. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
About the authors
Electrical Engineering Department, University of California, Los Angeles
Electrical Engineering Department, University of California, Los Angeles
Computer Science and Engineering Department, University of California, San Diego
Electrical Engineering Department, University of California, Los Angeles
Computer Science and Engineering Department, University of California, San Diego
Electrical Engineering Department, University of California, Los Angeles
Electrical Engineering Department, University of California, Los Angeles
School of Computer Science, Carnegie Mellon University
Electrical Engineering Department, University of California, Los Angeles
Department of Computer Science, University of California, Irvine
Electrical Engineering Department, University of California, Los Angeles
Computer Science and Engineering Department, University of California, San Diego
Computer Science and Engineering Department, University of California, San Diego
Electrical and Computer Engineering Department, University of Illinois at Urbana Champaign
Computer Science and Engineering Department, University of California, San Diego
Department of Electrical Engineering, Stanford University
Center for Embedded Computer Systems, University of California, Irvine
Computer Science and Engineering Department, University of California, San Diego
Electrical Engineering Department, University of California, Los Angeles
Computer Science and Engineering Department, University of California, San Diego
Department of Electrical Engineering and Computer Science, University of Michigan
Computer Science and Engineering Department, University of California, San Diego
©2015 Walter de Gruyter Berlin/Boston