Because data races represent a hard-to-manage class of errors in concurrent programs, numerous approaches to detect them have been proposed and evaluated. We specifically consider...
Paruj Ratanaworabhan, Martin Burtscher, Darko Kiro...
d Abstract] Marcos K. Aguilera Microsoft Research Silicon Valley Mountain View, CA, USA Carole Delporte-Gallet Universit? Paris 7 Paris, France Hugues Fauconnier Universit? Paris ...
Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes p...
Kevin E. Moore, Jayaram Bobba, Michelle J. Moravan...
Allowing loads to issue out-of-order with respect to earlier unresolved store addresses is very important for extracting parallelism in large-window superscalar processors. Blindl...
Clusters of high-end workstations and PCs are currently used in many application domains to perform large-scale computations or as scalable servers for I/O bound tasks. Although c...