Publications
“Load-Balancing Sparse Matrix Vector Product Kernels on GPUs,”
ACM Transactions on Parallel Computing, vol. 7, issue 1, March 2020.
DOI: 10.1145/3380930 
(5.67 MB)
(5.67 MB)
“The International Exascale Software Project Roadmap,”
International Journal of High Performance Computing, vol. 25, no. 1, pp. 3-60, January 2011.
DOI: 10.1177/1094342010391989 (719.74 KB)
(719.74 KB)
“The Impact of Multicore on Computational Science Software,”
CTWatch Quarterly, vol. 3, issue 1, February 2007.
“Hierarchical QR Factorization Algorithms for Multi-core Cluster Systems,”
Parallel Computing, vol. 39, issue 4-5, pp. 212-232, May 2013.
(1.43 MB)
(1.43 MB)
“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)
“Evolution of the SLATE linear algebra library,”
The International Journal of High Performance Computing Applications, September 2024.
DOI: 10.1177/10943420241286531
“Evaluation of Dataflow Programming Models for Electronic Structure Theory,”
Concurrency and Computation: Practice and Experience: Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1–20, May 2018.
DOI: 10.1002/cpe.4490 (1.69 MB)
(1.69 MB)
“Efficient exascale discretizations: High-order finite element methods,”
The International Journal of High Performance Computing Applications, pp. 10943420211020803, 2021.
DOI: 10.1177/10943420211020803
“A Customized Precision Format Based on Mantissa Segmentation for Accelerating Sparse Linear Algebra,”
Concurrency and Computation: Practice and Experience, vol. 40319, issue 262, January 2019.
DOI: 10.1002/cpe.5418
“Computational Benefit of GPU Optimization for Atmospheric Chemistry Modeling,”
Journal of Advances in Modeling Earth Systems, vol. 10, issue 8, pp. 1952–1969, August 2018.
DOI: 10.1029/2018MS001276 (3.4 MB)
(3.4 MB)
“Checkpointing Strategies for Shared High-Performance Computing Platforms,”
International Journal of Networking and Computing, vol. 9, no. 1, pp. 28–52, 2019.
(490.5 KB)
(490.5 KB)
“Big Data and Extreme-Scale Computing: Pathways to Convergence - Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry,”
The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 435–479, July 2018.
DOI: 10.1177/1094342018778123 (1.29 MB)
(1.29 MB)
“Big Data and Extreme-Scale Computing: Pathways to Convergence - Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry,”
The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 435–479, July 2018.
DOI: 10.1177/1094342018778123 (1.29 MB)
(1.29 MB)
“Algorithms and Optimization Techniques for High-Performance Matrix-Matrix Multiplications of Very Small Matrices,”
Parallel Computing, vol. 81, pp. 1–21, January 2019.
DOI: 10.1016/j.parco.2018.10.003 (3.27 MB)
(3.27 MB)
“Adaptive Precision in Block-Jacobi Preconditioning for Iterative Sparse Linear System Solvers,”
Concurrency and Computation: Practice and Experience, vol. 31, no. 6, pp. e4460, March 2019.
DOI: 10.1002/cpe.4460 (341.54 KB)
(341.54 KB)
“Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting,”
Concurrency and Computation: Practice and Experience, vol. 26, issue 7, pp. 1408-1431, May 2014.
DOI: 10.1002/cpe.3110 (1.96 MB)
(1.96 MB)
“Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning,”
International Conference on Computational Science (ICCS 2017), vol. 108, Zurich, Switzerland, Procedia Computer Science, pp. 1783-1792, June 2017.
DOI: 10.1016/j.procs.2017.05.186 (512.57 KB)
(512.57 KB)
“QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators,”
Proceedings of IPDPS 2011, no. ICL-UT-10-04, Anchorage, AK, October 2010.
(468.17 KB)
(468.17 KB)
“Programming the LU Factorization for a Multicore System with Accelerators,”
Proceedings of VECPAR’12, Kobe, Japan, April 2012.
(414.33 KB)
(414.33 KB)
