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ICDCN
2011
Springer
12 years 11 months ago
A High-Level Framework for Distributed Processing of Large-Scale Graphs
Distributed processing of real-world graphs is challenging due to their size and the inherent irregular structure of graph computations. We present HIPG, a distributed framework th...
Elzbieta Krepska, Thilo Kielmann, Wan Fokkink, Hen...
NIPS
2007
13 years 9 months ago
Parallelizing Support Vector Machines on Distributed Computers
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
IPPS
2002
IEEE
14 years 15 days ago
Parallel Genehunter: Implementation of a Linkage Analysis Package for Distributed-Memory Architectures
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees. The algorithm effectively distributes both the computa...
Gavin C. Conant, Steve Plimpton, William Old, Andr...
OOPSLA
2005
Springer
14 years 1 months ago
Lifting sequential graph algorithms for distributed-memory parallel computation
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel operation with distributed memory. The BGL consists of a rich set of generic graph algor...
Douglas Gregor, Andrew Lumsdaine
LCPC
1994
Springer
13 years 11 months ago
Optimizing Array Distributions in Data-Parallel Programs
Data parallel programs are sensitive to the distribution of data across processor nodes. We formulate the reduction of inter-node communication as an optimization on a colored gra...
Krishna Kunchithapadam, Barton P. Miller