Publications
PAPI's New Software-Defined Events for In-Depth Performance Analysis
, Lyon, France, CCDSC 2018: Workshop on Clusters, Clouds, and Data for Scientific Computing, September 2018.
Power-Aware HPC on Intel Xeon Phi KNL Processors
, Frankfurt, Germany, ISC High Performance (ISC17), Intel Booth Presentation, June 2017.
(5.87 MB)

Production Implementations of Pipelined & Communication-Avoiding Iterative Linear Solvers
, Tokyo, Japan, SIAM Conference on Parallel Processing for Scientific Computing, March 2018.
(2.34 MB)

SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library
, Denver, CO, International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), November 2019.
(16.19 MB)

SLATE Tutorial
, Houston, TX, 2020 ECP Annual Meeting, February 2020.
(12.14 MB)

Software-Defined Events through PAPI for In-Depth Analysis of Application Performance
, Basel, Switzerland, 5th Platform for Advanced Scientific Computing Conference (PASC18), July 2018.
Understanding Native Event Semantics
, Knoxville, TN, 9th JLESC Workshop, April 2019.
(2.33 MB)

What it Takes to keep PAPI Instrumental for the HPC Community
, Collegeville, MN, The 2019 Collegeville Workshop on Sustainable Scientific Software (CW3S19), July 2019.
(3.29 MB)

Is your scheduling good? How would you know?
, Bordeaux, France, 14th Scheduling for Large Scale Systems Workshop, June 2019.
(2.5 MB)

Batched BLAS (Basic Linear Algebra Subprograms) 2018 Specification
, July 2018.
(483.05 KB)

Reinventing High Performance Computing: Challenges and Opportunities,”
ICL Technical Report, no. ICL-UT-22-03, March 2022.
(1.36 MB)
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Revisiting I/O bandwidth-sharing strategies for HPC applications,”
INRIA Research Report, no. RR-9502: INRIA, March 2023.
“2016 Dense Linear Algebra Software Packages Survey,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-744 / LAWN 290: University of Tennessee, September 2016.
(366.43 KB)
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Accelerating the Reduction to Upper Hessenberg Form through Hybrid GPU-Based Computing,”
University of Tennessee Computer Science Technical Report, UT-CS-09-642 (also LAPACK Working Note 219), May 2009.
(2.37 MB)
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Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization,”
University of Tennessee Computer Science Technical Report (also as a LAWN), no. ICL-UT-11-08, September 2011.
(618.53 KB)
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Algorithms and Optimization Techniques for High-Performance Matrix-Matrix Multiplications of Very Small Matrices,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-09: Innovative Computing Laboratory, University of Tennessee, September 2018.
(3.74 MB)
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Analysis of Dynamically Scheduled Tile Algorithms for Dense Linear Algebra on Multicore Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-11-666, (also Lawn 243), March 2011.
(1.65 MB)
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Analysis of the Communication and Computation Cost of FFT Libraries towards Exascale,”
ICL Technical Report, no. ICL-UT-22-07: Innovative Computing Laboratory, July 2022.
(5.91 MB)
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ASCR@40: Four Decades of Department of Energy Leadership in Advanced Scientific Computing Research
: Advanced Scientific Computing Advisory Committee (ASCAC), US Department of Energy, August 2020.
ASCR@40: Highlights and Impacts of ASCR’s Programs
: US Department of Energy’s Office of Advanced Scientific Computing Research, June 2020.
DOI: 10.2172/1631812
Asynchronous SGD for DNN Training on Shared-Memory Parallel Architectures,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-04: University of Tennessee, Knoxville, March 2020.
(188.51 KB)
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Autotuning GEMMs for Fermi,”
University of Tennessee Computer Science Technical Report, UT-CS-11-671, (also Lawn 245), April 2011.
(397.45 KB)
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“BDEC Pathways to Convergence: Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-08: University of Tennessee, November 2017.
BDEC2 Platform White Paper,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-11: University of Tennessee, September 2019.
(30.16 KB)
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Bidiagonal SVD Computation via an Associated Tridiagonal Eigenproblem,”
LAPACK Working Note, no. LAWN 295, ICL-UT-18-02: University of Tennessee, April 2018.
(1.53 MB)
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C++ API for Batch BLAS,”
SLATE Working Notes, no. 04, ICL-UT-17-12: University of Tennessee, December 2017.
(1.89 MB)
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C++ API for BLAS and LAPACK,”
SLATE Working Notes, no. 02, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.
(1.12 MB)
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The Case for Directive Programming for Accelerator Autotuner Optimization,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.
(341.52 KB)
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CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra,”
ECP Milestone Reports: Zenodo, May 2020.
DOI: 10.5281/zenodo.3860804
(28.12 MB)
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CEED ECP Milestone Report: Performance Tuning of CEED Software and 1st and 2nd Wave Apps
: Zenodo, October 2019.
DOI: 10.5281/zenodo.3477618
(8.31 MB)

CEED ECP Milestone Report: Public release of CEED 2.0
: Zenodo, April 2019.
DOI: 10.5281/zenodo.2641316
(4.98 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)
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