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IPPS
1999
IEEE
15 years 9 months ago
The MuSE System: A Flexible Combination of On-Stack Execution and Work-Stealing
Executing subordinate activities by pushing return addresses on the stack is the most e cient working mode for sequential programs. It is supported by all current processors, yet i...
Markus Leberecht
IPPS
2010
IEEE
15 years 2 months ago
Parallel Task for parallelizing object-oriented desktop applications
As multi-cores arrive for mainstream desktop systems, developers must invest the effort to parallelize their applications. We present Parallel Task (short ParaTask), a solution to ...
Nasser Giacaman, Oliver Sinnen
AIIA
2005
Springer
15 years 10 months ago
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning
Machine Learning systems are often distinguished according to the kind of representation they use, which can be either propositional or first-order logic. The framework working wi...
Teresa Maria Altomare Basile, Floriana Esposito, N...
CCGRID
2006
IEEE
15 years 11 months ago
VODCA: View-Oriented, Distributed, Cluster-Based Approach to Parallel Computing
This paper presents a high-performance Distributed Shared Memory system called VODCA, which supports a novel View-Oriented Parallel Programming on cluster computers. One advantage...
Zhiyi Huang, Wenguang Chen, Martin K. Purvis, Weim...
CASES
2009
ACM
15 years 11 months ago
Optimal loop parallelization for maximizing iteration-level parallelism
This paper solves the open problem of extracting the maximal number of iterations from a loop that can be executed in parallel on chip multiprocessors. Our algorithm solves it opt...
Duo Liu, Zili Shao, Meng Wang, Minyi Guo, Jingling...