Minisymposium Description

Computing systems now expose power and reliability indicators to software. These indicators are in turn used to develop new energy-aware optimisations and new approaches to resilience that span all layers of the software stack, from firmware and operating systems, to compilers, runtime systems, languages and application software. Awareness of power and resilience are essential in large-scale parallel computing systems and datacentres, where mean time to failure rates are deteriorating and software executes under power caps that often manifest as non-deterministic performance variation. Power and resilience are perennially important for many-core embedded systems, where emerging applications push for higher performance and data processing ability on a limited energy budget, while component density and feature sizes compromise reliability.

The minisymposium provides a forum to broadly explore the implications of energy and resilience on the principles and practice of parallel programming. The minisymposium aims to present original research that uses energy and resilience as first-class resources in parallel programming languages, libraries and models and demonstrates how parallel programming can improve energy-efficiency and resilience of large-scale computing systems or many-core embedded systems. The minisymposium also intends to explore how energy and resilience management in hardware or system software may affect the performance of existing parallel programming environments.

The topics explored by this minisymposium include but are not limited to:

  • Parallel programming abstractions for energy and resilience
  • Compiler and runtime support for energy- and resilience-aware execution
  • Parallel libraries and auto-tuning for energy and resilience
  • Performance of parallel programming languages, libraries and tools in energy-constrained environments
  • Measurement and characterisation of resilience in parallel programming models, languages and libraries
  • Measurement and characterisation of energy in parallel programming models, languages and libraries
  • New computing paradigms for improving energy and resilience in parallel programming, such as approximate computing or near-threshold computing

Submission guidelines

We call for high-quality, original contributions (in English language) related to the minisymposium topics. Extended abstracts of at least 4 pages should be submitted in electronic form via the easychair submission system by June 23 June 30 2015. The page limit for final, full-length papers will be 10 pages.

  • Extended abstracts should clearly describe the contents of the proposed paper, and should be submitted in PDF form. The relevance and originality of the contribution must be described and the most important references included. At most five relevant keywords must be supplied.
  • Authors are required to follow the approved styles provided for LaTeX and Word on the IOS website. Other word processing systems, such as OpenOffice, can also be used as long as the specified styles are adhered to.
  • Final, camera-ready versions of extended abstracts for publication in the book of abstracts must be received no later than 31 July 2015. Only papers presented at the minisymposium will be considered for the book of abstracts.
  • Final, camera-ready versions of the accepted full length papers must be prepared in October 2015 (after the minisymposium).


Dimitrios S. NikolopoulosQueen's University of Belfast
Christos D. AntonopoulosUniversity of Thessaly, Greece

Program Committee

Kevin BarkerPacific Northwest National Lab
Costas BekasIBM Research - Zurich
Nikolaos BellasUniversity of Thessaly
Kirk CameronVirginia Tech
Robert ClaySandia National Lab
Rong GeMarquette University
Dimitris GizopoulosUniversity of Athens
Nikos HardavellasNorthwestern University
Georgios KarakonstantisQueen's University of Belfast
Spyros LalisUniversity of Thessaly
Dong LiUniversity of California, Merced
David LowenthalUniversity of Arizona
Naoya MaruyamaRIKEN AICS
Kathryn MohrorLawrence Livermore National Lab
Enrique S. Quintana-OrtiUniversidad Jaume I
Pedro TrancosoUniversity of Cyprus
Zheng WangLancaster University