Publications
PAPI's new Software-Defined Events for in-depth Performance Analysis
, Dresden, Germany, 13th Parallel Tools Workshop, September 2019.
(3.14 MB)
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.
PAPI: Counting outside the Box
, Barcelona, Spain, 8th JLESC Meeting, April 2018.
Memory Traffic and Complete Application Profiling with PAPI Multi-Component Measurements
, St. Petersburg, FL, 28th HIPS Workshop, May 2023.
(3.99 MB)
MagmaDNN – High-Performance Data Analytics for Manycore GPUs and CPUs
, Knoxville, TN, 2017 Summer Research Experiences for Undergraduate (REU), Presentation, December 2017.
(5.06 MB)
MagmaDNN 0.2 High-Performance Data Analytics for Manycore GPUs and CPUs
: University of Tennessee, January 2019.
DOI: 10.13140/RG.2.2.14906.64961 (7.84 MB)
MAGMA MIC: Optimizing Linear Algebra for Intel Xeon Phi
, Frankfurt, Germany, ISC High Performance (ISC15), Intel Booth Presentation, June 2015.
(2.03 MB)
MAGMA MIC: Linear Algebra Library for Intel Xeon Phi Coprocessors
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), November 2012.
(6.4 MB)
MAGMA - LAPACK for HPC on Heterogeneous Architectures
, Oak Ridge, TN, Titan Summit at Oak Ridge National Laboratory, Presentation, August 2011.
(20.43 MB)
MAGMA: A New Generation of Linear Algebra Library for GPU and Multicore Architectures
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Presentation, November 2012.
(4.69 MB)
MAGMA: A Breakthrough in Solvers for Eigenvalue Problems
, San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.
(9.23 MB)
An Introduction to the MAGMA project - Acceleration of Dense Linear Algebra
: NVIDIA Webinar, June 2010.
Integrating Deep Learning in Domain Science at Exascale (MagmaDNN)
, virtual, DOD HPCMP seminar, December 2020.
(11.12 MB)
The Future of Computing: Software Libraries
, Savannah, GA, DOD CREATE Developers' Review, Keynote Presentation, February 2012.
(6.76 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)
Does your tool support PAPI SDEs yet?
, Tahoe City, CA, 13th Scalable Tools Workshop, July 2019.
(3.09 MB)
Comparing performance of s-step and pipelined GMRES on distributed-memory multicore CPUs
, Pittsburgh, Pennsylvania, SIAM Annual Meeting, July 2017.
(748 KB)
Autotuning Dense Linear Algebra Libraries on GPUs
, Basel, Switzerland, Sixth International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2010), June 2010.
(579.44 KB)
Accelerating Tensor Contractions in High-Order FEM with MAGMA Batched
, Atlanta, GA, SIAM Conference on Computer Science and Engineering (SIAM CSE17), Presentation, March 2017.
(9.29 MB)
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing
: arXiv, January 2024.
The HPL Benchmark: Past, Present & Future
, ISC High Performance, Frankfurt, Germany, July 2016.
(3.41 MB)
hipMAGMA v2.0
: Zenodo, July 2020.
DOI: 10.5281/zenodo.3928667
hipMAGMA v1.0
: Zenodo, March 2020.
DOI: 10.5281/zenodo.3908549
Generalizing Random Butterfly Transforms to Arbitrary Matrix Sizes
: arXiv, December 2023.
Exascale Computing and Big Data,”
Communications of the ACM, vol. 58, no. 7: ACM, pp. 56-68, July 2015.
DOI: 10.1145/2699414 (7.3 MB)
“Using Quantized Integer in LU Factorization with Partial Pivoting (Poster)
, Seattle, WA, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP20), February 2020.
(6.65 MB)
Using GPU FP16 Tensor Cores Arithmetic to Accelerate Mixed-Precision Iterative Refinement Solvers and Reduce Energy Consumption
, Frankfurt, Germany, ISC High Performance (ISC18), Best Poster Award, June 2018.
(3.01 MB)
Using Advanced Vector Extensions AVX-512 for MPI Reduction (Poster)
, Austin, TX, EuroMPI/USA '20: 27th European MPI Users' Group Meeting, September 2020.
(708.68 KB)
Towards a High-Performance Tensor Algebra Package for Accelerators
, Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC15), September 2015.
(1.76 MB)
Tensor Contractions using Optimized Batch GEMM Routines
, San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.
(1.64 MB)
A Standard for Batched BLAS Routines
, Paris, France, 17th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP16), April 2016.
(1.93 MB)
SLATE: Software for Linear Algebra Targeting Exascale (POSTER)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(546.56 KB)
Scheduling Cholesky Factorization on Multicore Architectures with GPU Accelerators
, Knoxville, TN, 2010 Symposium on Application Accelerators in High-Performance Computing (SAAHPC'10), Poster, July 2010.
(3.86 MB)
The PLASMA Library on CORAL Systems and Beyond (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(550.86 KB)
Performance Application Programming Interface for Extreme-Scale Environments (PAPI-EX) (Poster)
, Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, 20 2020.
(2.53 MB)
Optimizing Batch HGEMM on Small Sizes Using Tensor Cores
, San Jose, CA, GPU Technology Conference (GTC), March 2019.
(2.47 MB)
Numerical Linear Algebra on Hybrid Architectures: Recent Developments in the MAGMA Project
, Portland, Oregon, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), November 2009.
(1.41 MB)
Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects
, Portland, OR, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), November 2009.
(3.53 MB)
MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR)
, Washington, DC, NSF PI Meeting, Poster, April 2018.
DOI: 10.6084/m9.figshare.6174143.v3 (2.4 MB)
MATEDOR: MAtrix, TEnsor, and Deep-learning Optimized Routines
, Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Research Poster, November 2018.
(2.55 MB)
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)
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)
GPUDirect MPI Communications and Optimizations to Accelerate FFTs on Exascale Systems,”
EuroMPI'19 Posters, Zurich, Switzerland, no. icl-ut-19-06: ICL, September 2019.
(2.25 MB)
“Ginkgo: A Node-Level Sparse Linear Algebra Library for HPC (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(699 KB)
FFT-ECP Fast Fourier Transform
, Houston, TX, 2019 ECP Annual Meeting (Research Poster), January 2019.
(1.51 MB)
Exa-PAPI: The Exascale Performance API with Modern C++
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(556.78 KB)
Enhancing the Performance of Dense Linear Algebra Solvers on GPUs (in the MAGMA Project)
, Austin, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC08), November 2008.
(5.28 MB)
DTE: PaRSEC Systems and Interfaces (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(840.54 KB)