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» Optimizing for parallelism and data locality
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SIGMOD
2010
ACM
255views Database» more  SIGMOD 2010»
15 years 2 months ago
Large graph processing in the cloud
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang
ASPLOS
1989
ACM
15 years 2 months ago
Architecture and Compiler Tradeoffs for a Long Instruction Word Microprocessor
A very long instruction word (VLIW) processorexploits parallelism by controlling multiple operations in a single instruction word. This paper describes the architecture and compil...
Robert Cohn, Thomas R. Gross, Monica S. Lam, P. S....
JCB
2006
215views more  JCB 2006»
14 years 10 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
HPCA
2007
IEEE
15 years 10 months ago
Thermal Herding: Microarchitecture Techniques for Controlling Hotspots in High-Performance 3D-Integrated Processors
3D integration technology greatly increases transistor density while providing faster on-chip communication. 3D implementations of processors can simultaneously provide both laten...
Kiran Puttaswamy, Gabriel H. Loh
HPCA
2007
IEEE
15 years 10 months ago
LogTM-SE: Decoupling Hardware Transactional Memory from Caches
This paper proposes a hardware transactional memory (HTM) system called LogTM Signature Edition (LogTM-SE). LogTM-SE uses signatures to summarize a transaction's readand writ...
Luke Yen, Jayaram Bobba, Michael R. Marty, Kevin E...