"It is not the strongest of the species that survives, or the most intelligent; it is the one most capable of change"
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 Using outdated, non-adaptive technology results in an enormous waste of expensive computing resources and energy, while slowing down time to market.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 2nd International Workshop on Self-tuning, Large Scale Computing Systems for Exaflop Era (EXADAPT) 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. 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All papers will be peer-reviewed including short position papers and should include unpublished ideas on how to simplify, automate and standardize the design, programming, optimization and adaptation of large-scale computing systems for multiple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.
We invite papers in two categories:
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 International Conference Proceedings Series
(ISBN 978-1-4503-1147-2) and ACM Digital Library.
Paper submission website: http://www.easychair.org/conferences/?conf=exadapt2012