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» Compiler Optimizations for Improving Data Locality
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NIPS
2007
14 years 11 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
IRREGULAR
1995
Springer
15 years 1 months ago
Run-Time Techniques for Parallelizing Sparse Matrix Problems
Sparse matrix problems are di cult to parallelize e ciently on message-passing machines, since they access data through multiple levels of indirection. Inspector executor strategie...
Manuel Ujaldon, Shamik D. Sharma, Joel H. Saltz, E...
PPOPP
2009
ACM
15 years 10 months ago
Comparability graph coloring for optimizing utilization of stream register files in stream processors
A stream processor executes an application that has been decomposed into a sequence of kernels that operate on streams of data elements. During the execution of a kernel, all stre...
Xuejun Yang, Li Wang, Jingling Xue, Yu Deng, Ying ...
CODES
2004
IEEE
15 years 1 months ago
Optimizing the memory bandwidth with loop fusion
The memory bandwidth largely determines the performance and energy cost of embedded systems. At the compiler level, several techniques improve the memory bandwidth at the scope of...
Paul Marchal, José Ignacio Gómez, Fr...
PLDI
2005
ACM
15 years 3 months ago
Programming ad-hoc networks of mobile and resource-constrained devices
Ad-hoc networks of mobile devices such as smart phones and PDAs represent a new and exciting distributed system architecture. Building distributed applications on such an architec...
Yang Ni, Ulrich Kremer, Adrian Stere, Liviu Iftode