(Enter summary)
Abstract: Bisection is an easily parallelizable method for finding the eigenvalues of real symmetric
tridiagonal matrices, or more generally symmetric acyclic matrices. It requires a
function Count(x) which counts the number of eigenvalues less than x. In exact arithmetic
Count(x) is an increasing function of x, but this is not necessarily the case with
roundoff. Our first result is that as long as the floating point arithmetic is monotonic,
the computed function Count(x) implemented appropriately... (Update)
Context of citations to this paper: More
.... of processors with identical floating point formats (but slightly different floating point operations turn out to be acceptable) See [4] for further discussion. Assigning the work by index rather than by range and sorting all the eigenvalues at the end may give the desired...
.... Jaeyoung Choi [3] Step 2 is broken into two parts, bisection and inverse iteration, parts of which were written by Inderjit Dhillon [5]. Both bisection and inverse iteration do O(1) communication, with each processor responsible for a subset of eigenvalues and eigenvectors....
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BibTeX entry: (Update)
J. Demmel, I. Dhillon, and H. Ren. "On the correctness of parallel bisection in floating point". Technical Report UCB//CSD-94-805, University of California, Berkeley Computer Science Division, 1994. available via anonymous ftp from tr-ftp.cs.berkeley.edu, in directory pub/tech-reports/csd/csd-94-805, file all.ps. http://citeseer.ist.psu.edu/article/demmel94correctness.html More
@techreport{ demmel94correctness,
author = "James Demmel and Inderjit Dhillon and Huan Ren",
title = "On the correctness of parallel bisection in floating point",
number = "UCB/CSD 94/805",
address = "Berkeley, CA, USA",
pages = "38",
year = "1994",
url = "citeseer.ist.psu.edu/article/demmel94correctness.html" }
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