Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Even after carefully tuning the memory characteristics to the application properties and the processor speed, during the execution of real applications there are times when the pr...
Aviral Shrivastava, Eugene Earlie, Nikil D. Dutt, ...
Abstract—Transactional memory promises to generalize transactional programming to mainstream languages and data structures. The purported benefit of transactions is that they ar...
Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the hist...
In the era of multicores, many applications that tend to require substantial compute power and data crunching (aka Throughput Computing Applications) can now be run on desktop PCs...
Chi-Keung Luk, Ryan Newton, William Hasenplaugh, M...