CFP: EXADAPT 2011 (@ PLDI 2011): Workshop on Adaptive Self-tuning Computing Systems for Exaflop Era (San Jose CA, Jun 11)

Grigori Fursin <>
Tue, 1 Mar 2011 02:57:11 -0800 (PST)

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CFP: EXADAPT 2011 (@ PLDI 2011): Workshop on Adaptive Self-tuning Comp (Grigori Fursin) (2011-03-01)
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From: Grigori Fursin <>
Newsgroups: comp.compilers
Date: Tue, 1 Mar 2011 02:57:11 -0800 (PST)
Organization: Compilers Central
Keywords: conference, CFP
Posted-Date: 01 Mar 2011 11:05:59 EST

                                                          CALL FOR PAPERS

                                    EXADAPT: 1st International Workshop on
                                    Adaptive Self-tuning Computing Systems
                                                          for Exaflop Era

                                      June 5th, 2011, San Jose, California
                                    (co-located with PLDI 2011 / FCRC 2011)



                                                      Keynote speaker: TBA

Modern large scale computing systems are rapidly evolving and may soon
feature millions of cores with exaflop performance. However, this
leads to a tremendous complexity with an unprecedented number of
available design and optimization 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outdated,non-adaptive technology results in an enormous waste of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

The 1st International Workshop on Self-tuning, Large Scale Computing
Systems for Exaflop Era is intended to become a regular inter-
disciplinary 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. Such systems should be able to automatically adjust their
behavior to multi-objective usage scenarios at all levels (hardware
and software) based on empirical, dynamic, iterative, statistical,
collective, bio-inspired, machine learning and other techniques while
fully utilizing available resources.

All papers will be peer-reviewed including short position papers and
should include unpublished ideas on how to simplify, automate and
standardize the design, programming, optimization and adaptation of
large-scale computing systems for multiple objectives to improve
performance, power consumption, utilization, reliability and
scalability including the following topics:

* whole system parameterization and modularization to enable self-
tuning across the whole hardware and software stack
** transformation space of static, JIT and source-to-source compilers
** run-time resource management/scheduling
** task/process/thread/data migration
** design space of architectures including heterogeneous multi-cores,
accelerators, memory hierarchy and IO
* propagation and usage of the feedback between various system layers
* static and dynamic code and data partitioning/modification for self-
* application conversion to support multi-level, hybrid
* modification of existing tools and applications to enable auto-
* resource and contention aware scheduling
* performance, power and reliability evaluation methodologies
* scalable performance evaluation tools
* detection, classification, and mitigation of resource contentions
* collaborative optimization repositories and benchmarks
* characterization of static program constructs
* characterization of dynamic program behavior under various system
load scenarios
* software/hardware co-design and co-optimization
* analysis of interactions between different parts of a large
* prediction of optimizations and architectural designs based on prior
* scalable system and processor simulation
* hardware support for self-tuning and scheduling
* virtualization
* fault-tolerance

**** Paper Submission Guidelines ****

We invite papers in two categories:

* Full papers should be at most 12 pages long including bibliography
and appendices. Papers in this category are expected to have
relatively mature content. Full paper presentations will be 25 minutes

* Position papers should be at most 6 pages long including
bibliography and appendices. Preliminary and exploratory work are
welcome in this category, including wild & crazy ideas. Position paper
presentations will be 10 minutes each. Authors submitting papers in
this category must prepend the phrase Position Paper: to the title of
the submitted paper.

Submissions should be PDF documents typeset in the ACM proceedings
format using 10pt fonts. SIGPLAN-approved templates can be found at We recommend
using this format, which improves greatly on the ACM LaTeX format. All
submissions must be in English. Page limits are strict.

Both full and position papers must describe work not published in
other refereed venues. Accepted papers will appear in the workshop
proceedings which will be distributed to workshop participants. We are
currently discussing with ACM the possibility to publish selected
papers in the ACM Digital Library.

Paper submission website:

**** Important Dates ****

* Submissions due: March 27th, 2011 (23:59:59 submitter's time
* Author notification: April 30th, 2011
* Revised papers due: May 15th, 2011
* Early registration deadline: TBA (Register at

**** Program Chairs/organizers: ****

* Grigori Fursin, Exascale Computing Research Center, France
* Robert Hundt, Google, USA

* Jason Mars, University of Virginia, USA
* Yuriy Kashnikov, Exascale Computing Research, France

**** Program Committee: *****

* Erik R. Altman, IBM TJ Watson, USA
* David H. Bailey, Lawrence Berkeley National Laboratory, USA
* Steve Blackburn, Australian National University, Australia
* Wenguang Chen, Tsinghua University, China
* Keith Cooper, Rice University, USA
* Lieven Eeckhout, Ghent University, Belgium
* Julia Fedorova, Intel, Russia
* Rajiv Gupta, University of California, Riverside, USA
* William Jalby, UVSQ, France
* Geoff Lowney, Intel, USA
* Bernd Mohr, Julich Supercomputing Centre, Germany
* Tipp Moseley, Google, USA
* Toshio Nakatani, IBM Tokyo Research Lab, Japan
* Michael O'Boyle, University of Edinburgh, UK
* Kunle Olukotun, Stanford University, USA
* David Padua, UIUC, USA
* Keshav Pingali, University of Texas at Austin, USA
* Markus Puschel, ETH Zurich, Switzerland
* Mary Lou Soffa, University of Virginia, USA
* Richard Vuduc, Georgia Tech, USA
* Ben Zorn, Microsoft, USA

**** Sponsors: *****

* Google
* ACM SIGPLAN (pending)

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