[hpc-announce] 3rd Workshop on Approximate Computing - In conjunction with HiPEAC 2017

[Nikos Bellas]

*3^rd Workshop on Approximate Computing*
*In conjunction with HiPEAC 2017*

*January 25, 2017, Stockholm*

http://wapco.inf.uth.gr/

*Workshop Description***

Research in the last few years has focused on approximate computing as a 
means to overcome the energy scaling barrier of computer systems. Such 
savings can be achieved by utilizing the inherent error resilience of 
algorithms in many application domains such as signal processing, 
multimedia, data analytics and computational engineering. Indeed, fully 
accurate arithmetic in specific phases of a computation in those 
applications may have only a marginal effect on output quality, 
especially if combined with error correction frameworks such as 
iterative refinement. Thus, accurate execution may be traded off for 
lower energy consumption by providing the ability to scale supply 
voltage below nominal values or to use lower precision arithmetic (i.e. 
8 or 16 bit).

Rather than focusing on a single layer, designing such systems in a 
general-purpose computing environment requires a holistic view of all 
layers from algorithms, programming models, system software, and 
hardware down to the transistor level. This full-day workshop is an 
inter-disciplinary effort to bring together researchers from the areas 
of mathematics, computer science, computer and electrical engineering to 
discuss challenges, risks and opportunities of approximate computing in 
all design layers. Papers will /not/ be published in proceedings, so 
submitting to WAPCO will not preclude future publication opportunities. 
We are soliciting original papers on topics that include but are not 
limited to the following:

·Formal and mathematical methods for approximate computing

·Programming languages and models for approximate computing

·Compiler and system software support for approximate computing

·Hardware support for approximate computing

·Hardware-software interaction for approximate computing

·Applications that can benefit from approximate computing

·Simulation and modeling techniques for approximate computing

·Position papers on the potential and limitations of approximate computing

*Important Dates*

Submission deadline:

	

November 18, 2016

Notification of decision:

	

December 9, 2016

*Organizers*

Nikolaos Bellas

	

University of Thessaly, Greece

Georgios Karakonstantis

	

Queen’s University Belfast, UK

Dimitris Gizopoulos

	

University of Athens, Greece

*Program Committee*

Nikolaos Bellas

	

University of Thessaly, Greece

Dimitrios Nikolopoulos

	

Queen’s University Belfast, UK

Andy Burg

	

EPFL, Switzerland

Uwe Naumann

	

RWTH-Aachen, Germany

Georgios Karakonstantis

	

Queen’s University Belfast, UK

Christos Antonopoulos

	

University of Thessaly, Greece

Spyros Lalis

	

University of Thessaly, Greece

Costas Bekas

	

IBM Research – Zurich

Vincent Heuveline

	

University of Heidelberg, Germany

Holger Froening

	

University of Heidelberg, Germany

Enrique Quintana – Orti

	

Universitat Jaume I de Castellon, Spain

Dimitris Gizopoulos

	

University of Athens, Greece

Pedro Trancoso

	

University of Cyprus

Stefano Di Carlo

	

Politecnico di Torino

Ramon Canal

	

UPC, Barcelona

Sek Chai

	

SRI, International, USA

Lukas Sekanina

	

Brno University of Technology, Czech Rep.

Contact /nbellas at inf.uth.gr/ for questions.**


-- 
Nikolaos Bellas
Associate Professor
ECE Department
University of Thessaly
Greece

http://inf-server.inf.uth.gr/~nbellas

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