20 April 1988 Almost Linear Time Matrix Operations On The Connection Machine
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Proceedings Volume 0880, High Speed Computing; (1988) https://doi.org/10.1117/12.944052
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States
Four matrix operations: matrix multiplication, the QR decomposition, the singular value decomposition, and the generalized singular value decomposition, form the basic tools for modern signal processing. This paper discusses their implementation on the 65,536-processor Connection Machine, and presents results showing that for n X n matrices, where n <256, an almost linear time performance is obtained. Our other major result is a novel method for computing the generalized singular value decomposition.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L.Magnus Ewerbring, L.Magnus Ewerbring, Franklin T Luk, Franklin T Luk, "Almost Linear Time Matrix Operations On The Connection Machine", Proc. SPIE 0880, High Speed Computing, (20 April 1988); doi: 10.1117/12.944052; https://doi.org/10.1117/12.944052

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