Publications
“Ginkgo - A math library designed to accelerate Exascale Computing Project science applications,”
The International Journal of High Performance Computing Applications, August 2024.
DOI: 10.1177/10943420241268323
Generalizing Random Butterfly Transforms to Arbitrary Matrix Sizes
: arXiv, December 2023.
“GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure,”
SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, November 2023.
DOI: 10.1145/3624062.3624247
“Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment,”
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, IEEE, July 2022.
DOI: 10.1109/IPDPS53621.2022.00086
“Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing,”
ACM Transactions on Mathematical Software, vol. 48, issue 12, pp. 1 - 33, March 2022.
DOI: 10.1145/3480935 
(4.2 MB)
(4.2 MB)
“Ginkgo—A math library designed for platform portability,”
Parallel Computing, vol. 111, pp. 102902, February 2022.
DOI: 10.1016/j.parco.2022.102902
Gingko: A Sparse Linear Algebrea Library for HPC
: 2021 ECP Annual Meeting, April 2021.
(893.04 KB)
(893.04 KB)
“GPU algorithms for Efficient Exascale Discretizations,”
Parallel Computing, vol. 108, pp. 102841, 2021.
DOI: 10.1016/j.parco.2021.102841
“Ginkgo: A High Performance Numerical Linear Algebra Library,”
Journal of Open Source Software, vol. 5, issue 52, August 2020.
DOI: 10.21105/joss.02260 (721.84 KB)
(721.84 KB)
Ginkgo: A Node-Level Sparse Linear Algebra Library for HPC (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(699 KB)
(699 KB)
“A Generic Approach to Scheduling and Checkpointing Workflows,”
International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1255-1274, November 2019.
DOI: 10.1177/1094342019866891 (555.01 KB)
(555.01 KB)
“A Generic Approach to Scheduling and Checkpointing Workflows,”
Int. Journal of High Performance Computing Applications, vol. 33, no. 6, pp. 1255-1274, 2019.
(555.01 KB)
(555.01 KB)
“Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC,”
ScalA'19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, IEEE, November 2019.
(260.69 KB)
(260.69 KB)
“Give MPI Threading a Fair Chance: A Study of Multithreaded MPI Designs,”
IEEE Cluster, Albuquerque, NM, IEEE, September 2019.
(220.84 KB)
(220.84 KB)
“GPUDirect MPI Communications and Optimizations to Accelerate FFTs on Exascale Systems,”
EuroMPI'19 Posters, Zurich, Switzerland, no. icl-ut-19-06: ICL, September 2019.
(2.25 MB)
(2.25 MB)
“A Generic Approach to Scheduling and Checkpointing Workflows,”
The 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, IEEE Computer Society Press, August 2018.
(737.11 KB)
(737.11 KB)
“A Guide for Achieving High Performance with Very Small Matrices on GPUs: A Case Study of Batched LU and Cholesky Factorizations,”
IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 5, pp. 973–984, May 2018.
DOI: 10.1109/TPDS.2017.2783929 (832.92 KB)
(832.92 KB)
“GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement,”
EuroPar 2012 (also LAWN 260), Rhodes Island, Greece, August 2012.
(662.98 KB)
(662.98 KB)
