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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
IPPS
1996
IEEE
13 years 11 months ago
Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?
Advances in multiprocessor interconnect technologyare leading to high performance networks. However, software overheadsassociated with message passing are limiting the processors ...
Debashis Basak, Dhabaleswar K. Panda, Mohammad Ban...
EUROPAR
2005
Springer
14 years 29 days ago
A Scalable Parallel Graph Coloring Algorithm for Distributed Memory Computers
In large-scale parallel applications a graph coloring is often carried out to schedule computational tasks. In this paper, we describe a new distributedmemory algorithm for doing t...
Erik G. Boman, Doruk Bozdag, Ümit V. Ç...
IPPS
2000
IEEE
13 years 11 months ago
Scalable Parallel Clustering for Data Mining on Multicomputers
This paper describes the design and implementation on MIMD parallel machines of P-AutoClass, a parallel version of the AutoClass system based upon the Bayesian method for determini...
D. Foti, D. Lipari, Clara Pizzuti, Domenico Talia
ICS
2007
Tsinghua U.
14 years 1 months ago
Tradeoff between data-, instruction-, and thread-level parallelism in stream processors
This paper explores the scalability of the Stream Processor architecture along the instruction-, data-, and thread-level parallelism dimensions. We develop detailed VLSI-cost and ...
Jung Ho Ahn, Mattan Erez, William J. Dally