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» Adaptive Parallel Graph Mining for CMP Architectures
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AC
2008
Springer
14 years 9 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
15 years 1 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
15 years 2 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...