Publications
“Approximate Computing for Scientific Applications,”
Approximate Computing Techniques, 322: Springer International Publishing, pp. 415 - 465, January 2022.
“Adaptive Precision Solvers for Sparse Linear Systems,”
3rd International Workshop on Energy Efficient Supercomputing (E2SC '15), Austin, TX, ACM, November 2015.
“Flexible Batched Sparse Matrix-Vector Product on GPUs,”
8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA '17), Denver, CO, ACM Press, November 2017.
(583.4 KB)
(583.4 KB)
“High-Performance GPU Implementation of PageRank with Reduced Precision based on Mantissa Segmentation,”
8th Workshop on Irregular Applications: Architectures and Algorithms, 2018.
“Multiprecision Block-Jacobi for Iterative Triangular Solves,”
European Conference on Parallel Processing (Euro-Par 2020): Springer, August 2020.
“Towards Continuous Benchmarking,”
Platform for Advanced Scientific Computing Conference (PASC 2019), Zurich, Switzerland, ACM Press, June 2019.
(1.51 MB)
(1.51 MB)
“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)
“Variable-Size Batched LU for Small Matrices and Its Integration into Block-Jacobi Preconditioning,”
46th International Conference on Parallel Processing (ICPP), Bristol, United Kingdom, IEEE, August 2017.
“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)
“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.
(512.57 KB)
(512.57 KB)
“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.
(341.54 KB)
(341.54 KB)
“Compressed basis GMRES on high-performance graphics processing units,”
The International Journal of High Performance Computing Applications, May 2022.
(13.52 MB)
(13.52 MB)
“Compression and load balancing for efficient sparse matrix‐vector product on multicore processors and graphics processing units,”
Concurrency and Computation: Practice and Experience, vol. 34, issue 14, June 2022.
(749.82 KB)
(749.82 KB)
“Fine-grained Bit-Flip Protection for Relaxation Methods,”
Journal of Computational Science, November 2016.
(1.47 MB)
(1.47 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.
(4.2 MB)
(4.2 MB)
“Improving the Energy Efficiency of Sparse Linear System Solvers on Multicore and Manycore Systems,”
Philosophical Transactions of the Royal Society A -- Mathematical, Physical and Engineering Sciences, vol. 372, issue 2018, July 2014.
(779.57 KB)
(779.57 KB)
“Resiliency in numerical algorithm design for extreme scale simulations,”
The International Journal of High Performance Computing Applications, vol. 36371337212766180823, issue 2, pp. 251 - 285, March 2022.
“Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors,”
Concurrency and Computation: Practice and Experience, August 2023.
“Toward a Modular Precision Ecosystem for High-Performance Computing,”
The International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1069-1078, November 2019.
(1.93 MB)
(1.93 MB)
“Unveiling the Performance-energy Trade-off in Iterative Linear System Solvers for Multithreaded Processors,”
Concurrency and Computation: Practice and Experience, vol. 27, issue 4, pp. 885-904, September 2014.
(1.83 MB)
(1.83 MB)
“Using Ginkgo's memory accessor for improving the accuracy of memory‐bound low precision BLAS,”
Software: Practice and Experience, vol. 532, issue 1, pp. 81 - 98, January Jan.
“Variable-Size Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioning on Graphics Processors,”
Parallel Computing, vol. 81, pp. 131-146, January 2019.
(1.9 MB)
(1.9 MB)
Flexible Batched Sparse Matrix Vector Product on GPUs
, Denver, Colorado, ScalA'17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, November 2017.
(16.8 MB)
(16.8 MB)
“A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
(58.85 MB)
“A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.
(9.26 MB)
(9.26 MB)
