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» Batch codes and their applications
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NSDI
2010
14 years 11 months ago
MapReduce Online
MapReduce is a popular framework for data-intensive distributed computing of batch jobs. To simplify fault tolerance, many implementations of MapReduce materialize the entire outp...
Tyson Condie, Neil Conway, Peter Alvaro, Joseph M....
ICML
2009
IEEE
15 years 10 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICAC
2007
IEEE
15 years 4 months ago
Time-Sharing Parallel Applications with Performance Isolation and Control
Most parallel machines, such as clusters, are spaceshared in order to isolate batch parallel applications from each other and optimize their performance. However, this leads to lo...
Bin Lin, Ananth I. Sundararaj, Peter A. Dinda
EUROPAR
2005
Springer
15 years 3 months ago
PerfMiner: Cluster-Wide Collection, Storage and Presentation of Application Level Hardware Performance Data
Abstract. We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-proc...
Philip Mucci, Daniel Ahlin, Johan Danielsson, Per ...
STORAGESS
2006
ACM
15 years 3 months ago
Using device diversity to protect data against batch-correlated disk failures
Batch-correlated failures result from the manifestation of a common defect in most, if not all, disk drives belonging to the same production batch. They are much less frequent tha...
Jehan-François Pâris, Darrell D. E. L...