Publications
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.
DOI: 10.1109/ScalA.2016.11
“On block-asynchronous execution on GPUs,”
LAPACK Working Note, no. 291, November 2016.
(1.05 MB)
“Cholesky Factorization on Batches of Matrices with Fixed and Variable Sizes
, San Jose, CA, GPU Technology Conference (GTC16), Poster, April 2016.
(480.51 KB)
Context Identifier Allocation in Open MPI,”
University of Tennessee Computer Science Technical Report, no. ICL-UT-16-01: Innovative Computing Laboratory, University of Tennessee, January 2016.
(490.89 KB)
“Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures,”
Lecture Notes in Computer Science, vol. 9573: Springer International Publishing, pp. 86-95, September 2015, 2016.
DOI: 10.1007/978-3-319-32149-3_9 (327.14 KB)
“On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures,”
The 17th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2016), IPDPS 2016, Chicago, IL, IEEE, May 2016.
(708.62 KB)
“Domain Overlap for Iterative Sparse Triangular Solves on GPUs,”
Software for Exascale Computing - SPPEXA, vol. 113: Springer International Publishing, pp. 527–545, September 2016.
DOI: 10.1007/978-3-319-40528-5_24
“Efficiency of General Krylov Methods on GPUs – An Experimental Study,”
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 683-691, May 2016.
DOI: 10.1109/IPDPSW.2016.45
“Efficiency of General Krylov Methods on GPUs – An Experimental Study,”
The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), Chicago, IL, IEEE, May 2016.
DOI: 10.1109/IPDPSW.2016.45 (285.28 KB)
“Failure Detection and Propagation in HPC Systems,”
Proceedings of the The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Salt Lake City, Utah, IEEE Press, pp. 27:1-27:11, November 2016.
“Fine-grained Bit-Flip Protection for Relaxation Methods,”
Journal of Computational Science, November 2016.
DOI: 10.1016/j.jocs.2016.11.013 (1.47 MB)
“GPU-Aware Non-contiguous Data Movement In Open MPI,”
25th International Symposium on High-Performance Parallel and Distributed Computing (HPDC'16), Kyoto, Japan, ACM, June 2016.
DOI: http://dx.doi.org/10.1145/2907294.2907317 (482.32 KB)
“Hessenberg Reduction with Transient Error Resilience on GPU-Based Hybrid Architectures,”
30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.
(535.72 KB)
“Heterogeneous Streaming,”
The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2016, Chicago, IL, IEEE, May 2016.
(2.73 MB)
“High Performance Conjugate Gradient Benchmark: A new Metric for Ranking High Performance Computing Systems,”
International Journal of High Performance Computing Applications, vol. 30, issue 1, pp. 3 - 10, February 2016.
DOI: 10.1177/1094342015593158 (277.51 KB)
“High Performance Realtime Convex Solver for Embedded Systems,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-745, October 2016.
(225.43 KB)
“High-performance Matrix-matrix Multiplications of Very Small Matrices,”
22nd International European Conference on Parallel and Distributed Computing (Euro-Par'16), Grenoble, France, Springer International Publishing, August 2016.
“High-Performance Tensor Contractions for GPUs,”
International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.
(2.36 MB)
“High-Performance Tensor Contractions for GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-738: University of Tennessee, January 2016.
(2.36 MB)
“The HPL Benchmark: Past, Present & Future
, ISC High Performance, Frankfurt, Germany, July 2016.
(3.41 MB)
Linear Algebra Software for Large-Scale Accelerated Multicore Computing,”
Acta Numerica, vol. 25, pp. 1-160, May 2016.
DOI: 10.1017/S0962492916000015
“LU, QR, and Cholesky Factorizations: Programming Model, Performance Analysis and Optimization Techniques for the Intel Knights Landing Xeon Phi,”
IEEE High Performance Extreme Computing Conference (HPEC'16), Waltham, MA, IEEE, September 2016.
(943.23 KB)
“MAGMA Batched: A Batched BLAS Approach for Small Matrix Factorizations and Applications on GPUs,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-16-02: University of Tennessee, August 2016.
(929.79 KB)
“A New Metric for Ranking High-Performance Computing Systems,”
National Science Review, vol. 3, issue 1, pp. 30-35, January 2016.
DOI: 10.1093/nsr/nwv084 (393.55 KB)
“Non-GPU-resident Dense Symmetric Indefinite Factorization,”
Concurrency and Computation: Practice and Experience, November 2016.
DOI: 10.1002/cpe.4012
“Optimal Resilience Patterns to Cope with Fail-stop and Silent Errors,”
2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.
DOI: 10.1109/IPDPS.2016.39 (603.58 KB)
“Performance Analysis and Acceleration of Explicit Integration for Large Kinetic Networks using Batched GPU Computations,”
2016 IEEE High Performance Extreme Computing Conference (HPEC ‘16), Waltham, MA, IEEE, September 2016.
(480.29 KB)
“Performance Analysis and Modeling of Task-Based Runtimes,”
Department of Electrical Engineering and Computer Science, vol. PhD, Knoxville, University of Tennessee, May 2016.
(5.14 MB)
“On the performance and energy efficiency of sparse linear algebra on GPUs,”
International Journal of High Performance Computing Applications, October 2016.
DOI: 10.1177/1094342016672081 (1.19 MB)
“Performance, Design, and Autotuning of Batched GEMM for GPUs,”
The International Supercomputing Conference (ISC High Performance 2016), Frankfurt, Germany, June 2016.
(1.27 MB)
“Performance, Design, and Autotuning of Batched GEMM for GPUs,”
High Performance Computing: 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, Proceedings, no. 9697: Springer International Publishing, pp. 21–38, 2016.
DOI: 10.1007/978-3-319-41321-1_2 (1.98 MB)
“Performance, Design, and Autotuning of Batched GEMM for GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-739: University of Tennessee, February 2016.
(1.27 MB)
“Performance optimization of Sparse Matrix-Vector Multiplication for multi-component PDE-based applications using GPUs,”
Concurrency and Computation: Practice and Experience, vol. 28, issue 12, pp. 3447 - 3465, May 2016.
DOI: 10.1002/cpe.v28.1210.1002/cpe.3874 (3.21 MB)
“Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs,”
International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.
(626.21 KB)
“Porting the PLASMA Numerical Library to the OpenMP Standard,”
International Journal of Parallel Programming, June 2016.
DOI: 10.1007/s10766-016-0441-6 (1.66 MB)
“Power Management and Event Verification in PAPI,”
Tools for High Performance Computing 2015: Proceedings of the 9th International Workshop on Parallel Tools for High Performance Computing, September 2015, Dresden, Germany, Dresden, Germany, Springer International Publishing, pp. pp. 41-51, 2016.
DOI: 10.1007/978-3-319-39589-0_4 (565.14 KB)
“Report on the Sunway TaihuLight System,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-742: University of Tennessee, June 2016.
“Scheduling Computational Workflows on Failure-prone Platforms,”
International Journal of Networking and Computing, vol. 6, no. 1, pp. 2-26, 2016.
(503.81 KB)
“Search Space Generation and Pruning System for Autotuners,”
30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.
(555.44 KB)
“Stability and Performance of Various Singular Value QR Implementations on Multicore CPU with a GPU,”
ACM Transactions on Mathematical Software (TOMS), vol. 43, issue 2, October 2016.
“A Standard for Batched BLAS Routines
, Paris, France, 17th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP16), April 2016.
(1.93 MB)
Sunway TaihuLight Supercomputer Makes Its Appearance,”
National Science Review, vol. 3, issue 3, pp. 256-266, September 2016.
DOI: 10.1093/nsr/nww044 (292.11 KB)
“Surviving Errors with OpenSHMEM,”
OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments, Baltimore, MD, USA, Springer International Publishing, pp. 66–81, 2016.
“Towards Achieving Performance Portability Using Directives for Accelerators,”
The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Third Workshop on Accelerator Programming Using Directives (WACCPD), Salt Lake City, Utah, Innovative Computing Laboratory, University of Tennessee, November 2016.
(567.02 KB)
“Updating Incomplete Factorization Preconditioners for Model Order Reduction,”
Numerical Algorithms, vol. 73, issue 3, no. 3, pp. 611–630, February 2016.
DOI: 10.1007/s11075-016-0110-2 (565.34 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)
“Accelerating NWChem Coupled Cluster through dataflow-based Execution,”
11th International Conference on Parallel Processing and Applied Mathematics (PPAM 2015), Krakow, Poland, Springer International Publishing, September 2015.
(452.82 KB)
“Accelerating the LOBPCG method on GPUs using a blocked Sparse Matrix Vector Product,”
Spring Simulation Multi-Conference 2015 (SpringSim'15), Alexandria, VA, SCS, April 2015.
(1.46 MB)
“Acceleration of GPU-based Krylov solvers via Data Transfer Reduction,”
International Journal of High Performance Computing Applications, 2015.
“Adaptive Precision Solvers for Sparse Linear Systems,”
3rd International Workshop on Energy Efficient Supercomputing (E2SC '15), Austin, TX, ACM, November 2015.
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