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» Complexity and Performance in Parallel Programming Languages
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VEE
2006
ACM
139views Virtualization» more  VEE 2006»
15 years 8 months ago
Vector LLVA: a virtual vector instruction set for media processing
We present Vector LLVA, a virtual instruction set architecture (VISA) that exposes extensive static information about vector parallelism while avoiding the use of hardware-speciï¬...
Robert L. Bocchino Jr., Vikram S. Adve
CGO
2010
IEEE
15 years 9 months ago
Parameterized tiling revisited
Tiling, a key transformation for optimizing programs, has been widely studied in literature. Parameterized tiled code is important for auto-tuning systems since they often execute...
Muthu Manikandan Baskaran, Albert Hartono, Sanket ...
PDPTA
1997
15 years 3 months ago
Evolving Software Tools for New Distributed Computing Environments
Abstract In future, parallel and distributed computing paradigms will replace nowadays predominant sequential and centralized ones. Facing the challenge to support the construction...
Markus Pizka, Claudia Eckert, Sascha Groh
POS
1998
Springer
15 years 6 months ago
Spatio-temporal Access in Persistent Java
Persistent programming languages are targetted primarily at application systems involving complex data structures and relationships, as typi ed by Geographical Information Systems...
Sonia Berman, R. Southern, A. Vasey, D. Ziskind
CP
2005
Springer
15 years 8 months ago
Boosting Distributed Constraint Satisfaction
Abstract Competition and cooperation can boost the performance of a combinatorial search process. Both can be implemented with a portfolio of algorithms which run in parallel, give...
Georg Ringwelski, Youssef Hamadi