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CLUSTER
2007
IEEE
15 years 10 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
ICS
2000
Tsinghua U.
15 years 9 months ago
Automatic loop transformations and parallelization for Java
From a software engineering perspective, the Java programming language provides an attractive platform for writing numerically intensive applications. A major drawback hampering i...
Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff,...
ADBIS
1995
Springer
155views Database» more  ADBIS 1995»
15 years 9 months ago
The MaStA I/O Cost Model and its Validation Strategy
Crash recovery in database systems aims to provide an acceptable level of protection from failure at a given engineering cost. A large number of recovery mechanisms are known, and...
S. Scheuerl, Richard C. H. Connor, Ronald Morrison...
CLUSTER
2009
IEEE
15 years 9 months ago
Using a cluster as a memory resource: A fast and large virtual memory on MPI
—The 64-bit OS provides ample memory address space that is beneficial for applications using a large amount of data. This paper proposes using a cluster as a memory resource for...
Hiroko Midorikawa, Kazuhiro Saito, Mitsuhisa Sato,...
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 8 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
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