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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...
PPOPP
1999
ACM
13 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
IPPS
1997
IEEE
13 years 11 months ago
A Fast Scalable Universal Matrix Multiplication Algorithm on Distributed-Memory Concurrent Computers
We present a fast and scalable matrix multiplication algorithm on distributed memory concurrent computers, whose performance is independent of data distribution on processors, and...
J. Choi
ISVC
2009
Springer
14 years 2 months ago
Parallel Poisson Surface Reconstruction
In this work we describe a parallel implementation of the Poisson Surface Reconstruction algorithm based on multigrid domain decomposition. We compare implementations using differ...
Matthew Bolitho, Michael M. Kazhdan, Randal C. Bur...
ISPAN
1996
IEEE
13 years 11 months ago
Design and evaluation of an environment APE for automatic parallelization of programs
In this paper, we have presented the design and evaluation of a compiler system, called APE,for automatic parallelization of scientific and engineering applications on distributed...
Vipin Chaudhary, Cheng-Zhong Xu, Sumit Roy, Jialin...