Publications
HPC Forecast,”
Communications of the ACM, vol. 664648, issue 2, pp. 82 - 90, January 2023.
“HAN: A Hierarchical AutotuNed Collective Communication Framework,”
IEEE Cluster Conference, Kobe, Japan, Best Paper Award, IEEE Computer Society Press, September 2020.
(764.05 KB)
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Harnessing the Computing Continuum for Programming Our World,”
Fog Computing: Theory and Practice: John Wiley & Sons, Inc., 2020.
(1.4 MB)
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heFFTe: Highly Efficient FFT for Exascale,”
International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, June 2020.
(2.62 MB)
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heFFTe: Highly Efficient FFT for Exascale (Poster)
: NVIDIA GPU Technology Conference (GTC2020), October 2020.
(866.88 KB)

heFFTe: Highly Efficient FFT for Exascale (Poster)
, Seattle, WA, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP20), February 2020.
(1.54 MB)

heFFTe: Highly Efficient FFT for Exascale (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(6.2 MB)

High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs,”
2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA): IEEE, November 2020.
(1.3 MB)
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hipMAGMA v1.0
: Zenodo, March 2020.
hipMAGMA v2.0
: Zenodo, July 2020.
How to Build Your Own Deep Neural Network
: PEARC20, July 2020.
(18.8 MB)

Hands-on Research and Training in High-Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments,”
ISC High Performance, Frankfurt, Germany, Springer International Publishing, June 2019.
(1016.52 KB)
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Harnessing GPU Tensor Cores for Fast FP16 Arithmetic to Speed up Mixed-Precision Iterative Refinement Solvers,”
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Dallas, TX, IEEE, November 2018.
(642.51 KB)
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Harnessing GPU's Tensor Cores Fast FP16 Arithmetic to Speedup Mixed-Precision Iterative Refinement Solvers and Achieve 74 Gflops/Watt on Nvidia V100
, San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.
(2.96 MB)

High-Performance GPU Implementation of PageRank with Reduced Precision based on Mantissa Segmentation,”
8th Workshop on Irregular Applications: Architectures and Algorithms, 2018.
“High-performance Cholesky Factorization for GPU-only Execution,”
Proceedings of the General Purpose GPUs (GPGPU-10), Austin, TX, ACM, February 2017.
(872.18 KB)
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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)
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Heterogeneous Streaming,”
The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2016, Chicago, IL, IEEE, May 2016.
(2.73 MB)
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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.
(277.51 KB)
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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)
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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,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-738: University of Tennessee, January 2016.
(2.36 MB)
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High-Performance Tensor Contractions for GPUs,”
International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.
(2.36 MB)
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The HPL Benchmark: Past, Present & Future
, ISC High Performance, Frankfurt, Germany, July 2016.
(3.41 MB)

Hierarchical DAG scheduling for Hybrid Distributed Systems,”
29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.
(1.11 MB)
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High-Performance Computing,”
The Princeton Companion to Applied Mathematics, Princeton, New Jersey, Princeton University Press, pp. 839-842, 2015.
“High-Performance Conjugate-Gradient Benchmark: A New Metric for Ranking High-Performance Computing Systems,”
The International Journal of High Performance Computing Applications, 2015.
(336.19 KB)
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HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,”
Scientific Programming, vol. 23, issue 1, January 2015.
(553.94 KB)
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HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems,”
University of Tennessee Computer Science Technical Report , no. ut-eecs-15-736: University of Tennessee, January 2015.
“Heterogeneous Acceleration for Linear Algebra in Mulit-Coprocessor Environments,”
VECPAR 2014, Eugene, OR, June 2014.
(276.52 KB)
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Hybrid Multi-Elimination ILU Preconditioners on GPUs,”
International Heterogeneity in Computing Workshop (HCW), IPDPS 2014, Phoenix, AZ, IEEE, May 2014.
(1.67 MB)
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Hierarchical QR Factorization Algorithms for Multi-core Cluster Systems,”
Parallel Computing, vol. 39, issue 4-5, pp. 212-232, May 2013.
(1.43 MB)
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High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,”
ACM Transactions on Mathematical Software (TOMS), vol. 39, issue 3, no. 16, 2013.
(665.7 KB)
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HPC Challenge: Design, History, and Implementation Highlights,”
Contemporary High Performance Computing: From Petascale Toward Exascale, Boca Raton, FL, Taylor and Francis, 2013.
(790.01 KB)
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Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters,”
University of Tennessee Computer Science Technical Report, no. ut-cs-13-714, July 2013.
(866.68 KB)
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Hierarchical QR Factorization Algorithms for Multi-Core Cluster Systems,”
IPDPS 2012, the 26th IEEE International Parallel and Distributed Processing Symposium, Shanghai, China, IEEE Computer Society Press, May 2012.
(405.71 KB)
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HierKNEM: An Adaptive Framework for Kernel-Assisted and Topology-Aware Collective Communications on Many-core Clusters,”
IPDPS 2012 (Best Paper), Shanghai, China, May 2012.
(165.9 KB)
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High Performance Computing Systems: Status and Outlook,”
Acta Numerica, vol. 21, Cambridge, UK, Cambridge University Press, pp. 379-474, May 2012.
(1.48 MB)
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High Performance Dense Linear System Solver with Resilience to Multiple Soft Errors,”
ICCS 2012, Omaha, NE, June 2012.
(1.27 MB)
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How LAPACK library enables Microsoft Visual Studio support with CMake and LAPACKE,”
University of Tennessee Computer Science Technical Report (also LAWN 270), no. UT-CS-12-698, July 2012.
(501.53 KB)
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HPC Challenge: Design, History, and Implementation Highlights,”
On the Road to Exascale Computing: Contemporary Architectures in High Performance Computing (to appear): Chapman & Hall/CRC Press, 00 2012.
(469.92 KB)
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Hierarchical QR Factorization Algorithms for Multi-Core Cluster Systems,”
University of Tennessee Computer Science Technical Report (also Lawn 257), no. UT-CS-11-684, October 2011.
(405.71 KB)
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High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-11-673, (also Lawn 247), May 2011.
(424.93 KB)
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High Performance Dense Linear System Solver with Soft Error Resilience,”
IEEE Cluster 2011, Austin, TX, September 2011.
(1.27 MB)
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High Performance Matrix Inversion Based on LU Factorization for Multicore Architectures,”
Proceedings of MTAGS11, Seattle, WA, November 2011.
(879.49 KB)
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High-Performance High-Resolution Semi-Lagrangian Tracer Transport on a Sphere,”
Journal of Computational Physics, vol. 230, issue 17, pp. 6778-6799, July 2011.
(1.68 MB)
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A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs,”
in GPU Computing Gems, Jade Edition, vol. 2: Elsevier, pp. 473-484, 00 2011.
“Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators,”
IEEE Transaction on Parallel and Distributed Systems (submitted), March 2010.
(3.75 MB)
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Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing,”
IEEE Transactions on Computers, vol. 58, issue 11, pp. 1512-1524, November 2009.
(1.81 MB)
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A Holistic Approach for Performance Measurement and Analysis for Petascale Applications,”
ICCS 2009 Joint Workshop: Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing, vol. 2009, Baton Rouge, Louisiana, Springer-Verlag Berlin Heidelberg 2009, pp. 686-695, May 2009.
(3.96 MB)
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