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» Matrix Multiplication on Two Interconnected Processors
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SIAMSC
2010
210views more  SIAMSC 2010»
12 years 11 months ago
On Two-Dimensional Sparse Matrix Partitioning: Models, Methods, and a Recipe
We consider two-dimensional partitioning of general sparse matrices for parallel sparse matrix-vector multiply operation. We present three hypergraph-partitioning-based methods, ea...
Ümit V. Çatalyürek, Cevdet Aykana...
IPPS
1997
IEEE
13 years 8 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
ERSA
2010
199views Hardware» more  ERSA 2010»
13 years 2 months ago
Reconfigurable Sparse Matrix-Vector Multiplication on FPGAs
Cache-based, general purpose CPUs perform at a small fraction of their maximum floating point performance when executing memory-intensive simulations, such as those required for sp...
Russell Tessier, Salma Mirza, J. Blair Perot
IPPS
2000
IEEE
13 years 9 months ago
Scalable Parallel Matrix Multiplication on Distributed Memory Parallel Computers
Consider any known sequential algorithm for matrix multiplication over an arbitrary ring with time complexity ON , where 2  3. We show that such an algorithm can be parallelize...
Keqin Li
CONCURRENCY
1998
151views more  CONCURRENCY 1998»
13 years 4 months ago
A new parallel matrix multiplication algorithm on distributed-memory concurrent computers
We present a new fast and scalable matrix multiplication algorithm, called DIMMA Distribution-Independent Matrix Multiplication Algorithm, for block cyclic data distribution on ...
Jaeyoung Choi