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» A fuzzy approach to automatic data locality optimization
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ICDM
2008
IEEE
110views Data Mining» more  ICDM 2008»
15 years 4 months ago
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...
David A. Cieslak, Nitesh V. Chawla
ICS
1992
Tsinghua U.
15 years 1 months ago
Optimizing for parallelism and data locality
Previous research has used program transformation to introduce parallelism and to exploit data locality. Unfortunately,these twoobjectives have usuallybeen considered independentl...
Ken Kennedy, Kathryn S. McKinley
IPPS
2006
IEEE
15 years 3 months ago
An approach to locality-conscious load balancing and transparent memory hierarchy management with a global-address-space paralle
The development of efficient parallel out-of-core applications is often tedious, because of the need to explicitly manage the movement of data between files and data structures ...
Sriram Krishnamoorthy, Ümit V. Çataly&...
93
Voted
SC
2005
ACM
15 years 3 months ago
Integrated Loop Optimizations for Data Locality Enhancement of Tensor Contraction Expressions
A very challenging issue for optimizing compilers is the phase ordering problem: In what order should a collection of compiler optimizations be performed? We address this problem ...
Swarup Kumar Sahoo, Sriram Krishnamoorthy, Rajkira...
EMSOFT
2005
Springer
15 years 3 months ago
Optimizing inter-processor data locality on embedded chip multiprocessors
Recent research in embedded computing indicates that packing multiple processor cores on the same die is an effective way of utilizing the ever-increasing number of transistors. T...
Guilin Chen, Mahmut T. Kandemir