Proceedings in ACM Digital Library

Final program

Keynote: "Autotuning in the Exascale Era!", Prof. Katherine Yelick
(LBNL and UC Berkeley, USA)

Keynote presentation is available online (pdf)!

• Grigori Fursin, Exascale Computing Research Center, France
• Robert Hundt, Google, CA, USA
• Jason Mars, University of Virginia, USA
• Yuriy Kashnikov, Exascale Computing Research Center, France

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 Using outdated, non-adaptive technology results in an enormous waste of expensive computing resources and energy, while slowing down time to market.

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 alternative 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All papers will be peer-reviewed including short position papers and should include unpublished ideas on how to simplify, automate and standardize the design, programming, optimization and adaptation of large-scale computing systems for multiple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-tuning
• application conversion to support multi-level, hybrid parallelization
• modification of existing tools and applications to enable auto-tuning
• 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 application
• prediction of optimizations and architectural designs based on prior knowledge
• scalable system and processor simulation
• hardware support for self-tuning and scheduling
• virtualization
• fault-tolerance

• 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 Püschel, ETH Zurich, Switzerland
• Mary Lou Soffa, University of Virginia, USA
• Richard Vuduc, Georgia Tech, USA
• Ben Zorn, Microsoft, USA

Keynote: Prof. Katherine Yelick (LBNL and UC Berkeley, USA)

Registration and accommodation for the EXADAPT workshop are handled through the parent conference, PLDI. To register, please go to the PLDI website http://pldi11.cs.utah.edu and click on the registration link on the left. The early registration deadline for discounted rates is TBD. For local and travel information follow the "Local Information" links on the same website.

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 each.
• 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 here. Both full and position papers must describe work not published in other refereed venues (see the SIGPLAN republication policy for more details). The proceedings of this workshop will be published in the ACM Digital Library (ISBN 978-1-4503-0708-6).

Paper submission website: http://www.easychair.org/conferences/?conf=adapt2011

Submissions due:		March 27th, 2011 April 13th, 2011 (23:59:59 - submitter's time zone) - deadline extension
Author notification:		May 6th, 2011
Early registration deadline:		May 16th, 2011 (Register at http://pldi11.cs.utah.edu)
Revised papers for the ACM DL and web due:		June 15th, 2011