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CALL FOR PAPERS

ADAPT: 4th International Workshop on
Adaptive Self-tuning Computing Systems

January 22nd, 2014, Vienna, Austria
(co-located with HiPEAC 2014)

http://www.adapt-workshop.org

Special focus on experimental reproducibility (see panel below)!
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Computing systems are rapidly evolving into heterogeneous machines featuring
many processor cores. This leads to a tremendous complexity with an
unprecedented number of available design and optimisation choices for
architectures, applications, compilers and run-time systems. Using outdated,
non-adaptive technology results in an enormous waste of expensive computing
resources and energy, while slowing down time to market.

Ideally, such systems should be able to automatically adjust their behaviour to
multi-objective usage scenarios at all levels (hardware and software) based on
empirical, dynamic, iterative, statistical, collective, bio-inspired, model-driven,
agent-based, machine learning and alternative techniques while fully utilising
available resources.

The 4th International Workshop on Adaptive Self-tuning Computing Systems is an
interdisciplinary forum for researchers, practitioners, developers and
application writers to discuss ideas, experience, methodology, applications,
practical techniques and tools to improve or change current and future
computing systems using self-tuning technology.

All submissions will be peer-reviewed. Topics of interests include techniques
to simplify, automate and standardise the design, programming, optimisation and
adaptation of large-scale computing systems for improving multiple objectives
such as performance, power consumption, utilisation, reliability and scalability.


==== Important Dates ====

* Abstract deadline: October 11, 2013
* Paper submission deadline: October 18, 2013
* Author notification: November 18, 2013
* Final paper version: December 9, 2013


==== Program Chairs/organisers: ====

* Christophe Dubach (University of Edinburgh, UK)
* Grigori Fursin (INRIA Saclay, France)

==== Program Committee: ====

* Erik Altman (IBM TJ Watson, USA)
* Bruce Childers (University of Pittsburgh, USA)
* Koen De Bosschere (Ghent University, Belgium)
* Marisa Gil (UPC, Spain)
* Mary Hall (University of Utah, USA)
* Timothy Jones (University of Cambridge, UK)
* Anton Lokmotov (ARM, UK)
* Chi-Keung Luk (Intel, USA)
* Tipp Moseley (Google, USA)
* Toshio Nakatani (IBM, Japan)
* Lasse Natvig (NTNU, Norway)
* David Padua (UIUC, USA)
* Aaron Smith (Microsoft Research, USA)
* Juergen Teich (University of Erlangen-Nuremberg, Germany)
* Vittorio Zaccaria (Politecnico di Milano, Italy)


==== Paper Submission Guidelines ====

We invite papers in three categories:

* Full papers presenting novel ideas with mature content (6 pages).

* Extended abstract presenting novel ideas with preliminary results and
exploratory work including wild & crazy ideas (2 pages).

* Extended abstract of already published work (must be your own) presenting
ideas relevant to the ADAPT workshop. There will be no proceedings for this
type of submissions.

We particularly welcome papers where experimental results can be validated
by the community. If accepted, the final papers should include Appendix with
detailed research methodology and references to all used data and tools
(should be publicly available by the time of the workshop).
Such submissions should include (reproducible) in the title.

More details for paper submission here: http://www.adapt-workshop.org

==== Panel on reproducible research methodologies and new publication models ====

Rising complexity of computer systems, increasing number of ad-hoc tools
and techniques, and lack of common and unified mechanisms for knowledge
exchange makes it extremely challenging or even impossible to capture,
share and reproduce experimental results from our community.

This panel brings together industrial and academic researchers to share
their thoughts and experience on reproducible experimentation
including how to:
* capture, catalog, modify, replay and exchange experiments
(possibly whole setups with all artifacts including benchmarks,
codelets, datasets, tools, models, etc)
* validate and verify experimental results
* deal with rising amount of experimental data
using statistical analysis, data mining, predictive modeling, etc.

More info about participants will be available soon!

==== Past ADAPT workshops ====

* 3rd ADAPT 2013 at HiPEAC 2013, Berlin, Germany
http://homepages.inf.ed.ac.uk/cdubach/adapt2013/

* 2nd EXADAPT 2012 at ASPLOS 2012, London, UK
http://exadapt.org/2012

* 1st ACM SIGPLAN EXADAPT 2011 at PLDI 2011/FCRC 2011, San Jose, CA, USA
http://exadapt.org/2011