David S. Wise

Affiliations: 
Indiana University, Bloomington, Bloomington, IN, United States 
Area:
Computer Science
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"David Wise"
Bio:

https://www.genealogy.math.ndsu.nodak.edu/id.php?id=82504

Parents

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Tad Brian Pinkerton grad student 1971 UW Madison
 (Generalized Overlap Resolvable Grammars, Languages, and Parsers.)
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Publications

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Gottschling P, Wise DS, Joshi A. (2009) Generic support of algorithmic and structural recursion for scientific computing International Journal of Parallel, Emergent and Distributed Systems. 24: 479-503
Gottschling P, Wise DS, Adams MD. (2007) Representation-transparent matrix algorithms with scalable performance Proceedings of the International Conference On Supercomputing. 116-125
Adams MD, Wise DS. (2006) Seven at one stroke: Results from a cache-oblivious paradigm for scalable matrix algorithms Proceedings of the 2006 Acm Sigplan Workshop On Memory Systems Performance and Correctness, Mspc 2006. 41-50
Lorton KP, Wise DS. (2006) Analyzing block locality in Morton-order and Morton-hybrid matrices Proceedings of the 2006 Workshop On Memory Performance: Dealing With Applications, Systems and Architectures, Medea '06. 2006: 5-12
Adams MD, Wise DS. (2006) Fast additions on masked integers Acm Sigplan Notices. 41: 39-45
Wise DS, Citro C, Hursey J, et al. (2005) A paradigm for parallel matrix algorithms: Scalable cholesky Lecture Notes in Computer Science. 3648: 687-698
Gabriel ST, Wise DS. (2004) The Opie compiler from row-major source to Morton-ordered matrices Acm International Conference Proceeding Series. 68: 136-144
Frens JD, Wise DS. (2003) QR factorization with Morton-ordered quadtree matrices for memory re-use and parallelism Proceedings of the Acm Sigplan Symposium On Principles and Practice of Parallel Programming, Ppopp. 144-154
Wise DS, Alexander GA, Frens JD, et al. (2001) Language support for Morton-order matrices Proceedings of the Acm Sigplan Symposium On Principles and Practice of Parallel Programming, Ppopp. 24-33
Wise DS. (2000) Ahnentafel indexing into morton-ordered arrays, or matrix locality for free Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1900: 771-773
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