Second Workshop on Approximate Computing Across the System Stack (WACAS) 2015
https://sites.google.com/
Co-located with ASPLOS 2015 — March 15, 2015 — Istanbul, TurkeyTraditional computing imposes an “exactness” that is becoming both energy expensive and unnecessary, especially so in the era of big data. The relaxation of accuracy, and more importantly the relaxation of the requirement of deterministic execution provide an opportunity to explore new energy-efficient execution models to process this vast data. Recently, the approximate computing paradigm has continued to gain importance as a vehicle to reason about changes across the stack from algorithms to devices to produce results that are acceptable albeit different from exact computation.
Making approximate computing successful requires cooperation among all layers of the stack, from algorithms to programming languages to OSes to architecture to circuits, as well as system components like storage and networks. This workshop aims to bring together an interdisciplinary group of researchers to present and discuss thoughts and ideas on how to effectively exploit approximate computing.
Topics include but are not limited to the following:
Peer-reviewed papers will not be published in a proceedings, so submitting to WACAS will not preclude future publication opportunities.
Prospective authors of research papers should aim for 6 pages including references.
Submissions may optionally be blind: authors can choose whether to include their names.
Submission website: https://easychair.org/
Important Dates
Organizing Committee:Vijayalakshmi Srinivasan, IBM T.J. Watson Research Center
Rajeev Balasubramonian, University of Utah
Hadi Esmaeilzadeh, Georgia Tech
Kailash Gopalakrishnan, IBM T.J. Watson Research Center
Natalie Enright Jerger, University of Toronto
Rakesh Kumar, University of Illinois Urbana-Champaign
Avinash Lingamneni, Cadence
Asit Mishra, Intel
Daniel Prener, IBM T.J. Watson Research Center
Anand Raghunathan, Purdue University
Lakshminarayanan Renganarayana, Symantec
Yavuz Yetim, Google
Co-located with ASPLOS 2015 — March 15, 2015 — Istanbul, TurkeyTraditional computing imposes an “exactness” that is becoming both energy expensive and unnecessary, especially so in the era of big data. The relaxation of accuracy, and more importantly the relaxation of the requirement of deterministic execution provide an opportunity to explore new energy-efficient execution models to process this vast data. Recently, the approximate computing paradigm has continued to gain importance as a vehicle to reason about changes across the stack from algorithms to devices to produce results that are acceptable albeit different from exact computation.
Making approximate computing successful requires cooperation among all layers of the stack, from algorithms to programming languages to OSes to architecture to circuits, as well as system components like storage and networks. This workshop aims to bring together an interdisciplinary group of researchers to present and discuss thoughts and ideas on how to effectively exploit approximate computing.
Topics include but are not limited to the following:
- Position papers on approximate computing: trends, potential, pitfalls
- Cross-layer approximate computing solutions
- Hardware/Software support for approximate computing
- Tools for writing, debugging, and reasoning about approximate programs
- Characterization of workloads suitable to approximation
- Methodology/Models to estimate cost/benefits of approximate computing solutions
Peer-reviewed papers will not be published in a proceedings, so submitting to WACAS will not preclude future publication opportunities.
Prospective authors of research papers should aim for 6 pages including references.
Submissions may optionally be blind: authors can choose whether to include their names.
Submission website: https://easychair.org/
Important Dates
- Paper submission: February 2, 2015
- Author notification: February 16, 2015
- Camera-ready submission: Mach 2, 2015
- Workshop: Sunday, March 15, 2015
Organizing Committee:Vijayalakshmi Srinivasan, IBM T.J. Watson Research Center
Rajeev Balasubramonian, University of Utah
Hadi Esmaeilzadeh, Georgia Tech
Kailash Gopalakrishnan, IBM T.J. Watson Research Center
Natalie Enright Jerger, University of Toronto
Rakesh Kumar, University of Illinois Urbana-Champaign
Avinash Lingamneni, Cadence
Asit Mishra, Intel
Daniel Prener, IBM T.J. Watson Research Center
Anand Raghunathan, Purdue University
Lakshminarayanan Renganarayana, Symantec
Yavuz Yetim, Google
For more information, please visit: https://sites.google.com/site/
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