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CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 11 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
ISCA
2010
IEEE
240views Hardware» more  ISCA 2010»
14 years 4 months ago
Modeling critical sections in Amdahl's law and its implications for multicore design
This paper presents a fundamental law for parallel performance: it shows that parallel performance is not only limited by sequential code (as suggested by Amdahl’s law) but is a...
Stijn Eyerman, Lieven Eeckhout
SC
2005
ACM
14 years 5 months ago
PerfExplorer: A Performance Data Mining Framework For Large-Scale Parallel Computing
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
Kevin A. Huck, Allen D. Malony
ISCA
2008
IEEE
148views Hardware» more  ISCA 2008»
14 years 5 months ago
Atomic Vector Operations on Chip Multiprocessors
The current trend is for processors to deliver dramatic improvements in parallel performance while only modestly improving serial performance. Parallel performance is harvested th...
Sanjeev Kumar, Daehyun Kim, Mikhail Smelyanskiy, Y...