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Benefits of IEEE-754 Features in Modern Symmetric Tridiagonal Eigensolvers

, , and . LAPACK Working Note, 172. Netlib, (September 2005)

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Sparse Data Structures for Weighted Bipartite Matching. SIAM Workshop on Combinatorial Scientific Computing, (February 2004)Parallel Bipartite Matching for Sparse Matrix Computation. Third Bay Area Scientific Computing Day, (March 2002)Massive streaming data analytics: a graph-based approach., and . ACM Crossroads, 19 (3): 37-43 (2013)STINGER: High performance data structure for streaming graphs., , , and . HPEC, page 1-5. IEEE, (2012)Scalable Multi-threaded Community Detection in Social Networks., , and . IPDPS Workshops, page 1619-1628. IEEE Computer Society, (2012)Augmented Arithmetic Operations Proposed for IEEE-754 2018., and . ARITH, page 45-52. IEEE, (2018)Efficient SIMD evaluation of image processing programs, and . Parallel and Distributed Methods for Image Processing, 3166, page 199--210. San Diego, CA, SPIE, (1997)Error bounds from extra-precise iterative refinement, , , , , and . LAPACK Working Note, 165. Netlib, (February 2005)Precise Solutions for Overdetermined Least Squares Problems, , , , , and . Stanford 50 -- Eighth Bay Area Scientific Computing Day, (March 2007)Experimental Insights from the Rogues Gallery., , , , , and . ICRC, page 80-87. IEEE, (2019)