805 search results - page 118 / 161 » Modeling and Analyzing Periodic Distributed Computations |
ML
2012
ACM
12 years 4 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
IEEEPACT
2005
IEEE
14 years 2 months ago
2005
IEEE
Global address space languages like UPC exhibit high performance and portability on a broad class of shared and distributed memory parallel architectures. The most scalable applic...
DCOSS
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. We present a distributed, localized and integrated approach for establishing both low-level (i.e. exploration of 1-hop neighbors, interference avoidance) and high-level (...
SIGMETRICS
1999
ACM
14 years 1 months ago
1999
ACM
We collect and analyze a snapshot of data from 10,568 file systems of 4801 Windows personal computers in a commercial environment. The file systems contain 140 million files total...
HPDC
2010
IEEE
13 years 10 months ago
2010
IEEE
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...