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POPL
2011
ACM
14 years 6 months ago
Pick your contexts well: understanding object-sensitivity
ensitivity has emerged as an excellent context abstraction for points-to analysis in object-oriented languages. Despite its practical success, however, object-sensitivity is poorl...
Yannis Smaragdakis, Martin Bravenboer, Ondrej Lhot...
PPOPP
2011
ACM
14 years 6 months ago
GRace: a low-overhead mechanism for detecting data races in GPU programs
In recent years, GPUs have emerged as an extremely cost-effective means for achieving high performance. Many application developers, including those with no prior parallel program...
Mai Zheng, Vignesh T. Ravi, Feng Qin, Gagan Agrawa...
SIGMOD
2011
ACM
189views Database» more  SIGMOD 2011»
14 years 6 months ago
We challenge you to certify your updates
Correctness of data residing in a database is vital. While integrity constraint enforcement can often ensure data consistency, it is inadequate to protect against updates that inv...
Su Chen, Xin Luna Dong, Laks V. S. Lakshmanan, Div...
151
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CIKM
2011
Springer
14 years 3 months ago
Citation count prediction: learning to estimate future citations for literature
In most of the cases, scientists depend on previous literature which is relevant to their research fields for developing new ideas. However, it is not wise, nor possible, to trac...
Rui Yan, Jie Tang, Xiaobing Liu, Dongdong Shan, Xi...
ASPLOS
2012
ACM
13 years 11 months ago
Data races vs. data race bugs: telling the difference with portend
Even though most data races are harmless, the harmful ones are at the heart of some of the worst concurrency bugs. Alas, spotting just the harmful data races in programs is like ...
Baris Kasikci, Cristian Zamfir, George Candea
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