[hpc-announce] 2nd Workshop on Approximate Computing - In conjunction with HiPEAC 2016

Nikos Bellas nbellas at inf.uth.gr
Mon Sep 7 07:40:40 CDT 2015

*2^nd Workshop on Approximate Computing*
*In conjunction with HiPEAC 2016*

*January 20, 2016, Prague*


*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, among others. 
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 with 
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), thus, trading off low energy with quality of output results.

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 half-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 languagesand 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 13, 2015

Notification of decision:


December 4, 2015


Nikolaos Bellas


University of Thessaly and CERTH, Greece

Dimitrios Nikolopoulos


Queen’s University Belfast, UK

Andy Burg


EPFL, Switzerland

Uwe Naumann


RWTH-Aachen, Germany

Peter Debacker


IMEC, Belgium

Frederick Vivien


INRIA, France

Georgios Karakonstantis


EPFL, Switzerland and QUB, UK

Christos Antonopoulos


University of Thessaly and CERTH, Greece

Spyros Lalis


University of Thessaly and CERTH, Greece

Costas Bekas


IBM Research – Zurich

Vincent Heuveline


University of Heidelberg, Germany

Thomas Ludwig


University of Hamburg and DKRZ

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

Giorgio Di Natale,


CNRS, Montpellier

Antonio Gonzalez


UPC, Barcelona

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


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