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» Simplifying Probabilistic Programs Using Computer Algebra
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ICS
2007
Tsinghua U.
15 years 4 months ago
Representation-transparent matrix algorithms with scalable performance
Positive results from new object-oriented tools for scientific programming are reported. Using template classes, abstractions of matrix representations are available that subsume...
Peter Gottschling, David S. Wise, Michael D. Adams
ISCA
2007
IEEE
146views Hardware» more  ISCA 2007»
15 years 4 months ago
Hardware atomicity for reliable software speculation
Speculative compiler optimizations are effective in improving both single-thread performance and reducing power consumption, but their implementation introduces significant compl...
Naveen Neelakantam, Ravi Rajwar, Suresh Srinivas, ...
BMCBI
2008
130views more  BMCBI 2008»
14 years 10 months ago
IDEA: Interactive Display for Evolutionary Analyses
Background: The availability of complete genomic sequences for hundreds of organisms promises to make obtaining genome-wide estimates of substitution rates, selective constraints ...
Amy Egan, Anup Mahurkar, Jonathan Crabtree, Jonath...
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ASPLOS
2012
ACM
13 years 6 months ago
Understanding modern device drivers
Device drivers are the single largest contributor to operating-system kernel code with over 5 million lines of code in the Linux kernel, and cause significant complexity, bugs an...
Asim Kadav, Michael M. Swift
ICML
2005
IEEE
15 years 11 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos