Publications
“Linear Algebra Software for Large-Scale Accelerated Multicore Computing,”
Acta Numerica, vol. 25, pp. 1-160, May 2016.
DOI: 10.1017/S0962492916000015
“Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs,”
IEEE Transactions on Parallel and Distributed Systems, no. 1045-9219, November 2015.
“HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,”
Scientific Programming, vol. 23, issue 1, January 2015.
DOI: 10.3233/SPR-140404 
(553.94 KB)
(553.94 KB)
“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)
Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems
, no. UT-CS-11-689, December 2011.
(608.95 KB)
(608.95 KB)
“Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems,”
ICCS 2012, Omaha, NE, June 2012.
(608.95 KB)
(608.95 KB)
“Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators,”
Proceedings of the IEEE, vol. 106, issue 11, pp. 2040–2055, November 2018.
DOI: 10.1109/JPROC.2018.2868961 (2.53 MB)
(2.53 MB)
“Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,”
Parallel Computing, vol. 74, pp. 3–18, May 2018.
DOI: 10.1016/j.parco.2017.10.004 (1.34 MB)
(1.34 MB)
“Task-graph scheduling extensions for efficient synchronization and communication,”
Proceedings of the ACM International Conference on Supercomputing, pp. 88–101, 2021.
DOI: 10.1145/3447818.3461616
“Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators,”
Euro-Par 2019: Parallel Processing, vol. 11725: Springer, pp. 495–506, August 2019.
DOI: 10.1007/978-3-030-29400-7_35
“Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators,”
ACM International Conference on Supercomputing (ICS '19), Phoenix, Arizona, ACM, pp. 117–126, June 2019.
DOI: https://dl.acm.org/doi/abs/10.1145/3330345.3330356 (1.63 MB)
(1.63 MB)
“Virtual Systolic Array for QR Decomposition,”
15th Workshop on Advances in Parallel and Distributed Computational Models, IEEE International Parallel & Distributed Processing Symposium (IPDPS 2013), Boston, MA, IEEE, May 2013.
DOI: 10.1109/IPDPS.2013.119 (749.84 KB)
(749.84 KB)
“Toward a scalable multi-GPU eigensolver via compute-intensive kernels and efficient communication,”
Proceedings of the 27th ACM International Conference on Supercomputing (ICS '13), Eugene, Oregon, USA, ACM Press, June 2013.
DOI: 10.1145/2464996.2465438 (1.27 MB)
(1.27 MB)
“Threshold Pivoting for Dense LU Factorization,”
ScalAH22: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems , Dallas, Texas, IEEE, 2022.
(721.77 KB)
(721.77 KB)
“SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library,”
International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Denver, CO, ACM, November 2019.
DOI: 10.1145/3295500.3356223 (2.01 MB)
(2.01 MB)
“Search Space Generation and Pruning System for Autotuners,”
30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.
(555.44 KB)
(555.44 KB)
“Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,”
PPAM 2013, Warsaw, Poland, September 2013.
(284.97 KB)
(284.97 KB)
“Performance and Portability with OpenCL for Throughput-Oriented HPC Workloads Across Accelerators, Coprocessors, and Multicore Processors,”
5th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA '14), New Orleans, LA, IEEE, November 2014.
DOI: 10.1109/ScalA.2014.8 (407.5 KB)
(407.5 KB)
“Massively Parallel Automated Software Tuning,”
48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan, ACM Press, August 2019.
DOI: 10.1145/3337821.3337908 (911.88 KB)
(911.88 KB)
“Heterogeneous Streaming,”
The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2016, Chicago, IL, IEEE, May 2016.
(2.73 MB)
(2.73 MB)
“Comparing Hybrid CPU-GPU and Native GPU-only Acceleration for Linear Algebra,”
2015 SIAM Conference on Applied Linear Algebra, Atlanta, GA, SIAM, October 2015.
(4.7 MB)
(4.7 MB)
“clMAGMA: High Performance Dense Linear Algebra with OpenCL ,”
International Workshop on OpenCL, Bristol University, England, May 2014.
(460.91 KB)
(460.91 KB)
“Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices,”
Parallel and Distributed Processing Symposium Workshops (IPDPSW), Orlando, FL, IEEE, June 2017.
DOI: 10.1109/IPDPSW.2017.18
“Accelerating Eigenvector Computation in the Nonsymmetric Eigenvalue Problem,”
VECPAR 2014, Eugene, OR, June 2014.
(199.44 KB)
(199.44 KB)
“Accelerating Collaborative Filtering for Implicit Feedback Datasets using GPUs,”
2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, IEEE, November 2015.
(1.02 MB)
(1.02 MB)
“Bringing High Performance Computing to Big Data Algorithms,”
Handbook of Big Data Technologies: Springer, 2017.
DOI: 10.1007/978-3-319-49340-4 (1.22 MB)
(1.22 MB)
“Accelerating Numerical Dense Linear Algebra Calculations with GPUs,”
Numerical Computations with GPUs: Springer International Publishing, pp. 3-28, 2014.
DOI: 10.1007/978-3-319-06548-9_1 (1.06 MB)
(1.06 MB)
