The rapid rate of architectural change has placed enormous pressure on
compiler writers to keep pace with microprocessor evolution. This
problem is compounded by the current trend to have multi-cores and
multi-threading which makes such systems increasingly difficult to
target. Also, current methods of designing computer systems will no
longer be feasible in 10-15 years time; what is needed are new
innovative approaches to architecture design that scale both with
advances in underlying technology and with future application domains.
In recent years, several papers have been published showing great
potential in constructing compilers and architectures using approaches
such as machine learning and search.
The purpose of this workshop is to promote new ideas and to present
recent developments in compiler and architecture design using machine
learning, statistical approaches, and search in order to enhance their
performance, scalability, and adaptability.
Topics of interest include (but are not limited to):
Machine Learning, Statistical Approaches, or Search applied to
Feedback-Directed Compilation
Auto-tuning Programs + Language Extensions
Library Generators
Iterative Compilation
Dynamic Compilation/Adaptive Execution
Parallel Compiler Optimizations
Low-power Optimizations
Simulation
Performance Models
Adaptive Processor and System Architecture
Design Space Exploration
Other Topics relevant to Intelligent andAdaptive Compilers/Architectures
Paper Submission Guidelines:
Paper length - maximum 15 pages.
Papers must be submitted in the PDF (preferably) or postscript
formats. Email your submissions to mob@inf.ed.ac.uk or use the workshop submission website.
Proceedings: An informal collection of the papers to be presented will
be distributed at the workshop. Questions regarding the workshop proceedings should be forwarded to mob@inf.ed.ac.uk .
All accepted papers will appear on the workshop website.
**** NEW PUBLICATION INFORMATION ****
The best papers submitted will be considered for publication
in the journal Transactions on HiPEAC, Springer-Verlag
