Nimrod Megiddo
Journal of Symbolic Computation
Techniques and algorithms for efficient in-place conversion to and from standard and blocked matrix storage formats are described. Such functionality is required by numerical libraries that use different data layouts internally. Parallel algorithms and a software package for in-place matrix storage format conversion based on in-place matrix transposition are presented and evaluated. A new algorithm for in-place transposition which efficiently determines the structure of the transposition permutation a priori is one of the key ingredients. It enables effective load balancing in a parallel environment. © 2012 ACM.
Nimrod Megiddo
Journal of Symbolic Computation
Igor Devetak, Andreas Winter
ISIT 2003
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
S.F. Fan, W.B. Yun, et al.
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