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» Adaptive Parallel Graph Mining for CMP Architectures
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AC
2008
Springer
13 years 5 months ago
Distributed Sparse Matrices for Very High Level Languages
Sparse matrices are first class objects in many VHLLs (very high level languages) used for scientific computing. They are a basic building block for various numerical and combinat...
John R. Gilbert, Steve Reinhardt, Viral Shah
CLUSTER
2004
IEEE
13 years 9 months ago
Rolls: modifying a standard system installer to support user-customizable cluster frontend appliances
The Rocks toolkit [9], [7], [10] uses a graph-based framework to describe the configuration of all node types (termed appliances) that make up a complete cluster. With hundreds of...
Greg Bruno, Mason J. Katz, Federico D. Sacerdoti, ...
CLOUD
2010
ACM
13 years 10 months ago
Stateful bulk processing for incremental analytics
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...