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ASPLOS
1987
ACM
13 years 11 months ago
The Effect of Instruction Set Complexity on Program Size and Memory Performance
One potentialdisadvantage of a machine with a reduced instruction. set is that object programs may be substantially larger than those for a machine with a richer, more complex ins...
Jack W. Davidson, Richard A. Vaughan
EUROSYS
2007
ACM
14 years 5 months ago
Exploiting nonstationarity for performance prediction
Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transactio...
Christopher Stewart, Terence Kelly, Alex Zhang
OOPSLA
2005
Springer
14 years 1 months ago
Quantifying the performance of garbage collection vs. explicit memory management
Garbage collection yields numerous software engineering benefits, but its quantitative impact on performance remains elusive. One can compare the cost of conservative garbage col...
Matthew Hertz, Emery D. Berger
SIGIR
2012
ACM
11 years 10 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
IEAAIE
2007
Springer
14 years 2 months ago
Automatic Fingerprints Image Generation Using Evolutionary Algorithm
Constructing a fingerprint database is important to evaluate the performance of automatic fingerprint recognition systems. Because of the difficulty in collecting fingerprint sampl...
Ung-Keun Cho, Jin-Hyuk Hong, Sung-Bae Cho