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» Analysis and Optimization of CHR Programs
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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
CGO
2007
IEEE
14 years 1 months ago
Ubiquitous Memory Introspection
Modern memory systems play a critical role in the performance of applications, but a detailed understanding of the application behavior in the memory system is not trivial to atta...
Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, ...
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
ACOhg: dealing with huge graphs
Ant Colony Optimization (ACO) has been successfully applied to those combinatorial optimization problems which can be translated into a graph exploration. Artificial ants build s...
Enrique Alba, J. Francisco Chicano
SC
2003
ACM
14 years 22 days ago
Identifying and Exploiting Spatial Regularity in Data Memory References
The growing processor/memory performance gap causes the performance of many codes to be limited by memory accesses. If known to exist in an application, strided memory accesses fo...
Tushar Mohan, Bronis R. de Supinski, Sally A. McKe...
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
14 years 4 months ago
SPM management using Markov chain based data access prediction
— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...
Taylan Yemliha, Shekhar Srikantaiah, Mahmut T. Kan...