Publications
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Filters: First Letter Of Title is R and Author is Piotr Luszczek [Clear All Filters]
Randomized Numerical Linear Algebra: A Perspective on the Field with an Eye to Software,”
University of California, Berkeley EECS Technical Report, no. UCB/EECS-2022-258: University of California, Berkeley, November 2022.
(1.05 MB) (1.54 MB)
“Replacing Pivoting in Distributed Gaussian Elimination with Randomized Techniques,”
2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), Atlanta, GA, IEEE, November 2020.
(184.6 KB)
“Roadmap for the Development of a Linear Algebra Library for Exascale Computing: SLATE: Software for Linear Algebra Targeting Exascale,”
SLATE Working Notes, no. 01, ICL-UT-17-02: Innovative Computing Laboratory, University of Tennessee, June 2017.
(2.8 MB)
“Randomized Algorithms to Update Partial Singular Value Decomposition on a Hybrid CPU/GPU Cluster,”
The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin, TX, ACM, November 2015.
“Reducing the time to tune parallel dense linear algebra routines with partial execution and performance modelling,”
University of Tennessee Computer Science Technical Report, no. UT-CS-10-661, October 2010.
(287.87 KB)
“Recursive Approach in Sparse Matrix LU Factorization,”
Scientific Programming, vol. 9, no. 1, pp. 51-60, 00 2001.
(217.16 KB)
“Recursive approach in sparse matrix LU factorization,”
Proceedings of 1st SGI Users Conference, Cracow, Poland (ACC Cyfronet UMM, 2000), pp. 409-418, January 2000.
(176.14 KB)
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