The adoption of transactional memory is hindered by the high overhead of software transactional memory and the intrusive design changes required by previously proposed TM hardware...
Jared Casper, Tayo Oguntebi, Sungpack Hong, Nathan...
Traditional storage systems provide a simple read/write interface, which is inadequate for low-locality update-intensive workloads because it limits the disk scheduling flexibili...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Software has spent the bounty of Moore’s law by solving harder problems and exploiting abstractions, such as highlevel languages, virtual machine technology, binary rewritdynami...
Jungwoo Ha, Matthew Arnold, Stephen M. Blackburn, ...
For transactional memory (TM) to achieve widespread acceptance, transactions should not be limited to the physical resources of any specific hardware implementation. TM systems s...
JaeWoong Chung, Chi Cao Minh, Austen McDonald, Tra...