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CORR
2010
Springer
153views Education» more  CORR 2010»
14 years 10 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...
CCGRID
2010
IEEE
14 years 11 months ago
Selective Recovery from Failures in a Task Parallel Programming Model
Abstract--We present a fault tolerant task pool execution environment that is capable of performing fine-grain selective restart using a lightweight, distributed task completion tr...
James Dinan, Arjun Singri, P. Sadayappan, Sriram K...
NETWORKING
2007
14 years 11 months ago
Beyond Proportional Fair: Designing Robust Wireless Schedulers
Abstract. Proportional Fair (PF), a frequently used scheduling algorithm in 3G wireless networks, can unnecessarily starve “well-behaved” users in practice. One of the main cau...
Soshant Bali, Sridhar Machiraju, Hui Zang
EUROPAR
1999
Springer
15 years 2 months ago
DAOS - Scalable And-Or Parallelism
Abstract. This paper presents DAOS, a model for exploitation of Andand Or-parallelism in logic programs. DAOS assumes a physically distributed memory environment and a logically sh...
Luís Fernando Castro, Vítor Santos C...
CONCURRENCY
1998
115views more  CONCURRENCY 1998»
14 years 9 months ago
Falcon: On-line monitoring for steering parallel programs
Abstract Advances in high performance computing, communications, and user interfaces enable developers to construct increasingly interactive high performance applications. The Falc...
Weiming Gu, Greg Eisenhauer, Karsten Schwan, Jeffr...