Publications
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Filters: Author is Hartwig Anzt [Clear All Filters]
“Evaluating the Performance of NVIDIA’s A100 Ampere GPU for Sparse and Batched Computations,”
2020 IEEE/ACM Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS): IEEE, November 2020.
(1.9 MB)
(1.9 MB)
“Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs,”
Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, New York, NY, USA, ACM, pp. 1–10, February 2017.
(552.62 KB)
(552.62 KB)
“Solver Interface & Performance on Cori,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-05: University of Tennessee, June 2018.
(188.05 KB)
(188.05 KB)
“Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures,”
VECPAR 2014, Eugene, OR, June 2014.
(430.56 KB)
(430.56 KB)
“Tuning Stationary Iterative Solvers for Fault Resilience,”
6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA15), Austin, TX, ACM, November 2015.
(1.28 MB)
(1.28 MB)
“ParILUT – A Parallel Threshold ILU for GPUs,”
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, IEEE, May 2019.
(505.95 KB)
(505.95 KB)
“Batched Generation of Incomplete Sparse Approximate Inverses on GPUs,”
Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, pp. 49–56, November 2016.
