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CP
2004
Springer
15 years 10 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
SIGSOFT
2007
ACM
16 years 5 months ago
Determining detailed structural correspondence for generalization tasks
Generalization tasks are important for continual improvement to the design of an evolving code base, eliminating redundancy where it has accumulated. An important step in generali...
Jörg Denzinger, Joseph J. C. Chang, Robert J....
WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
15 years 11 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
PLDI
1998
ACM
15 years 8 months ago
Quality and Speed in Linear-scan Register Allocation
A linear-scan algorithm directs the global allocation of register candidates to registers based on a simple linear sweep over the program being compiled. This approach to register...
Omri Traub, Glenn H. Holloway, Michael D. Smith
POPL
1997
ACM
15 years 8 months ago
Synchronization Transformations for Parallel Computing
As parallel machines become part of the mainstream computing environment, compilers will need to apply synchronization optimizations to deliver e cient parallel software. This pap...
Pedro C. Diniz, Martin C. Rinard