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of High-level Parallel Programming (PAPP 2006)
Computational Science applications are more and more complex to
develop and require more and more computing power. Parallel and grid
computing are solutions to the increasing need for computing
power. High level languages offer a high degree of abstraction which
ease the development of complex systems. Moreover, being based on
formal semantics, it is possible to certify the correctness of
critical parts of the applications.
Algorithmic skeletons, parallel extensions of functional languages
such as Haskell and ML, parallel logic and constraint programming,
parallel execution of declarative programs such as SQL queries, etc.
have produced methods and tools that improve the price/performance
ratio of parallel software, and broaden the range of target
applications.
The PAPP workshop focuses on practical aspects of high-level parallel
programming: design, implementation and optimization of high-level
programming languages and tools (performance predictors working on
high-level parallel/grid source code, visualisations of abstract
behaviour, automatic hotspot detectors, high-level GRID resource
managers, compilers, automatic generators, etc.), applications in all
fields of computational science, benchmarks and experiments. Research
on high-level grid programming is particularly relevant.
The PAPP workshop is aimed both at researchers involved in the
development of high level approaches for parallel and grid computing
and computational science researchers who are potential users of these
languages and tools.
Topics
We welcome submission of original, unpublished papers in
English on topics including:
high-level models (CGM, BSP, MPM, LogP, etc.) and tools
for parallel and grid computing
high-level parallel language design,
implementation and optimisation
functional, logic, constraint programming for parallel,
distributed and grid computing systems
algorithmic skeletons, patterns and high-level parallel libraries
generative (e.g. template-based) programming with
algorithmic skeletons, patterns and high-level parallel libraries
applications in all fields of high-performance computing
(using high-level tools)
benchmarks and experiments using such languages and tools
Accepted papers should be presented at the workshop and extended and
revised versions will be published in a special issue of Scalable Computing: Practice and Experience, provided revisions suggested by the
referees are made.