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ASPLOS
2011
ACM
14 years 1 months ago
Hardware acceleration of transactional memory on commodity systems
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...
ASPLOS
2012
ACM
13 years 5 months ago
An update-aware storage system for low-locality update-intensive workloads
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...
Dilip Nijagal Simha, Maohua Lu, Tzi-cker Chiueh
JMLR
2012
13 years 5 days ago
Metric and Kernel Learning Using a Linear Transformation
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...
OOPSLA
2009
Springer
15 years 4 months ago
A concurrent dynamic analysis framework for multicore hardware
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, ...
ASPLOS
2006
ACM
15 years 3 months ago
Tradeoffs in transactional memory virtualization
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...