2nd Workshop on Approximate
Computing
In conjunction with HiPEAC 2016
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 Papers will not be published in proceedings,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
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 13, 2015
|
Notification of decision:
|
December 4, 2015
|
Organizers
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@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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