A bridging model for parallel computation
Communications of the ACM
JavaSpaces Principles, Patterns, and Practice
JavaSpaces Principles, Patterns, and Practice
Solving Problems on Parallel Computers by Cellular Programming
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
PRO: A Model for Parallel Resource-Optimal Computation
HPCS '02 Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications
Towards an efficient single system image cluster operating system
Future Generation Computer Systems - Special issue: Advanced services for clusters and internet computing
An Experimental Validation of the PRO Model for Parallel and Distributed Computation
PDP '06 Proceedings of the 14th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Algorithm engineering: bridging the gap between algorithm theory and practice
Algorithm engineering: bridging the gap between algorithm theory and practice
Modeling and experimental validation of the data handover API
GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
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We present a new integrated environment for cellular computing and other fine grained applications. It is based upon previous developments concerning cellular computing environments (the ParCeL family) and coarse grained algorithms (the SSCRAP toolbox). It is aimed to be portable and efficient, and at the same time to offer a comfortable abstraction for the developer of fine grained programs. A first campaign of benchmarks shows promising results on clusters.