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SDM
2010
SIAM
151views Data Mining» more  SDM 2010»
15 years 8 months ago
Fast Stochastic Frank-Wolfe Algorithms for Nonlinear SVMs
The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this pr...
Hua Ouyang, Alexander Gray
IPPS
2005
IEEE
16 years 25 days ago
Stream PRAM
Parallel random access memory, or PRAM, is a now venerable model of parallel computation that that still retains its usefulness for the design and analysis of parallel algorithms....
Darrell R. Ulm, Michael Scherger
CCGRID
2009
IEEE
16 years 2 months ago
Self-Tuning Virtual Machines for Predictable eScience
— Unpredictable access to batch-mode HPC resources is a significant problem for emerging dynamic data-driven applications. Although efforts such as reservation or queue-time pred...
Sang-Min Park, Marty Humphrey
CLUSTER
2007
IEEE
16 years 1 months ago
High performance virtual machine migration with RDMA over modern interconnects
— One of the most useful features provided by virtual machine (VM) technologies is the ability to migrate running OS instances across distinct physical nodes. As a basis for many...
Wei Huang, Qi Gao, Jiuxing Liu, Dhabaleswar K. Pan...
PPOPP
1999
ACM
15 years 11 months ago
Automatic Parallelization of Divide and Conquer Algorithms
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
Radu Rugina, Martin C. Rinard