Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
Software engineering researchers have long been interested in where and why bugs occur in code, and in predicting where they might turn up next. Historical bug-occurence data has ...
Christian Bird, Adrian Bachmann, Eirik Aune, John ...
Transactional memory (TM) provides an easy-to-use and high-performance parallel programming model for the upcoming chip-multiprocessor systems. Several researchers have proposed a...
JaeWoong Chung, Hassan Chafi, Chi Cao Minh, Austen...
4 Automatic differentiation is the primary means of obtaining analytic5 derivatives from a numerical model given as a computer program. There-6 fore, it is an essential productivi...
We present an experimental study of parallel biconnected components algorithms employing several fundamental parallel primitives, e.g., prefix sum, list ranking, sorting, connect...