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» A Data Analysis Method for Software Performance Prediction
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PPOPP
2010
ACM
16 years 1 months ago
Using data structure knowledge for efficient lock generation and strong atomicity
To achieve high-performance on multicore systems, sharedmemory parallel languages must efficiently implement atomic operations. The commonly used and studied paradigms for atomici...
Gautam Upadhyaya, Samuel P. Midkiff, Vijay S. Pai
ICML
2005
IEEE
16 years 5 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof
CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
15 years 10 months ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
EUROPAR
2007
Springer
15 years 10 months ago
Delayed Side-Effects Ease Multi-core Programming
Computer systems are increasingly parallel and heterogeneous, while programs are still largely written in sequential languages. The obvious suggestion that the compiler should auto...
Anton Lokhmotov, Alan Mycroft, Andrew Richards
GLVLSI
2008
IEEE
140views VLSI» more  GLVLSI 2008»
15 years 11 months ago
A table-based method for single-pass cache optimization
Due to the large contribution of the memory subsystem to total system power, the memory subsystem is highly amenable to customization for reduced power/energy and/or improved perf...
Pablo Viana, Ann Gordon-Ross, Edna Barros, Frank V...