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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 10 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
IFIP
2004
Springer
14 years 3 months ago
The Inherent Queuing Delay of Parallel Packet Switches
The parallel packet switch (PPS) extends the inverse multiplexing architecture, and is extensively used as the core of contemporary commercial switches. A key factor in the perfor...
Hagit Attiya, David Hay
CODES
2006
IEEE
14 years 1 months ago
Phase guided sampling for efficient parallel application simulation
Simulating chip-multiprocessor systems (CMP) can take a long time. For single-threaded workloads, earlier work has shown the utility of phase analysis, that is identification of r...
Jeffrey Namkung, Dohyung Kim, Rajesh K. Gupta, Igo...
ISCAPDCS
2007
13 years 11 months ago
Evaluation of architectural support for speech codecs application in large-scale parallel machines
— Next generation multimedia mobile phones that use the high bandwidth 3G cellular radio network consume more power. Multimedia algorithms such as speech, video transcodecs have ...
Naeem Zafar Azeemi
ANSS
2002
IEEE
14 years 3 months ago
Statistical Simulation of Symmetric Multiprocessor Systems
Statistical simulation is driven by a stream of randomly generated instructions, based on statistics collected during a single detailed simulation. This method can give accurate p...
Sébastien Nussbaum, James E. Smith