Publications
“AI Benchmarking for Science: Efforts from the MLCommons Science Working Group,”
Lecture Notes in Computer Science, vol. 13387: Springer International Publishing, pp. 47 - 64, January 2023.
“Mixed Precision Algebraic Multigrid on GPUs,”
Parallel Processing and Applied Mathematics (PPAM 2022), vol. 13826, Cham, Springer International Publishing, April 2023.
“PAQR: Pivoting Avoiding QR factorization,”
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), St. Petersburg, FL, USA, IEEE, 2023.
“Evaluating Data Redistribution in PaRSEC,”
IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 8, pp. 1856-1872, August 2022.
(3.19 MB)
(3.19 MB)
“Evaluations of molecular modeling and machine learning for predictive capabilities in binding of lanthanum and actinium with carboxylic acids,”
Journal of Radioanalytical and Nuclear Chemistry, December 2022.
Extending MAGMA Portability with OneAPI
, Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), ACM Student Research Competition, November 2022.
(1.33 MB)
(1.33 MB)
“Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach,”
2022 IEEE International Conference on Cluster Computing (CLUSTER 2022), Heidelberg, Germany, September 2022.
“PAQR: Pivoting Avoiding QR factorization,”
ICL Technical Report, no. ICL-UT-22-06, June 2022.
(364.85 KB)
(364.85 KB)
“A Python Library for Matrix Algebra on GPU and Multicore Architectures,”
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Denver, CO, IEEE, December 2022.
(414.36 KB)
(414.36 KB)
“Resiliency in numerical algorithm design for extreme scale simulations,”
The International Journal of High Performance Computing Applications, vol. 36371337212766180823, issue 2, pp. 251 - 285, March 2022.
“Resiliency in numerical algorithm design for extreme scale simulations,”
The International Journal of High Performance Computing Applications, vol. 36371337212766180823, issue 2, pp. 251 - 285, March 2022.
“Efficient exascale discretizations: High-order finite element methods,”
The International Journal of High Performance Computing Applications, pp. 10943420211020803, 2021.
“An Introduction to High Performance Computing and Its Intersection with Advances in Modeling Rare Earth Elements and Actinides,”
Rare Earth Elements and Actinides: Progress in Computational Science Applications, vol. 1388, Washington, DC, American Chemical Society, pp. 3-53, October 2021.
Linear Algebra Prepara.on for Emergent Neural Network Architectures: MAGMA, BLAS, and Batched GPU Computing
, Virtual, LAPENNA Workshop, November 2021.
(17.8 MB)
(17.8 MB)
“Rare Earth Elements and Actinides: Progress in Computational Science Applications,”
ACS Symposium Series, vol. 1388, Washington, DC, American Chemical Society, October 2021.
“Rare Earth Elements and Critical Materials: Uses and Availability,”
Rare Earth Elements and Actinides: Progress in Computational Science Applications, vol. 1388, Washington, DC, American Chemical Society, pp. 63-74, October 2021.
“CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra,”
ECP Milestone Reports: Zenodo, May 2020.
(28.12 MB)
(28.12 MB)
“CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra,”
ECP Milestone Reports: Zenodo, May 2020.
(28.12 MB)
(28.12 MB)
“DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models,”
20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, VIC, Australia, IEEE, May 2020.
(424.19 KB)
(424.19 KB)
“FFT-Based Gradient Sparsification for the Distributed Training of Deep Neural Networks,”
9th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 20), Stockholm, Sweden, ACM, June 2020.
(4.72 MB)
(4.72 MB)
“FFT-Based Gradient Sparsification for the Distributed Training of Deep Neural Networks,”
9th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 20), Stockholm, Sweden, ACM, June 2020.
(4.72 MB)
(4.72 MB)
“Flexible Data Redistribution in a Task-Based Runtime System,”
IEEE International Conference on Cluster Computing (Cluster 2020), Kobe, Japan, IEEE, September 2020.
(354.8 KB)
(354.8 KB)
“HAN: A Hierarchical AutotuNed Collective Communication Framework,”
IEEE Cluster Conference, Kobe, Japan, Best Paper Award, IEEE Computer Society Press, September 2020.
(764.05 KB)
(764.05 KB)
How to Build Your Own Deep Neural Network
: PEARC20, July 2020.
(18.8 MB)
(18.8 MB)
Integrating Deep Learning in Domain Science at Exascale (MagmaDNN)
, virtual, DOD HPCMP seminar, December 2020.
(11.12 MB)
(11.12 MB)
“Integrating Deep Learning in Domain Sciences at Exascale,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-10: University of Tennessee, August 2020.
(1.09 MB)
(1.09 MB)
“Integrating Deep Learning in Domain Sciences at Exascale,”
2020 Smoky Mountains Computational Sciences and Engineering Conference (SMC 2020), August 2020.
“Load-Balancing Sparse Matrix Vector Product Kernels on GPUs,”
ACM Transactions on Parallel Computing, vol. 7, issue 1, March 2020.
(5.67 MB)
(5.67 MB)
“Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I,”
Lecture Notes in Computer Science, 1, no. 12043: Springer International Publishing, pp. 581, March 2020.
“Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II,”
Lecture Notes in Computer Science, no. 12044: Springer International Publishing, pp. 503, March 2020.
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)
(2.53 MB)
“Project-Based Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning,”
The Journal of Computational Science Education, vol. 11, issue 1, pp. 36-44, January 2020.
(4.4 MB)
(4.4 MB)
“Redesigning PAPI's High-Level API,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-03: University of Tennessee, February 2020.
(356.41 KB)
(356.41 KB)
SLATE Tutorial
, Houston, TX, 2020 ECP Annual Meeting, February 2020.
(12.14 MB)
(12.14 MB)
“Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance,”
International Conference for High Performance Computing Networking, Storage, and Analysis (SC20): ACM, November 2020.
(644.92 KB)
(644.92 KB)
CEED ECP Milestone Report: Performance Tuning of CEED Software and 1st and 2nd Wave Apps
: Zenodo, October 2019.
(8.31 MB)
(8.31 MB)
CEED ECP Milestone Report: Public release of CEED 2.0
: Zenodo, April 2019.
(4.98 MB)
(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)
(58.85 MB)
“A Collection of White Papers from the BDEC2 Workshop in Poznan, Poland,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-10: University of Tennessee, Knoxville, May 2019.
(5.82 MB)
(5.82 MB)
“A Collection of White Papers from the BDEC2 Workshop in Poznan, Poland,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-10: University of Tennessee, Knoxville, May 2019.
(5.82 MB)
(5.82 MB)
“A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
(8.25 MB)
“A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
(8.25 MB)
“A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
(8.25 MB)
“A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
(8.25 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)
(1016.52 KB)
MagmaDNN 0.2 High-Performance Data Analytics for Manycore GPUs and CPUs
: University of Tennessee, January 2019.
(7.84 MB)
(7.84 MB)
“MagmaDNN: Accelerated Deep Learning Using MAGMA,”
Practice and Experience in Advanced Research Computing (PEARC ’19), Chicago, IL, ACM, July 2019.
(1.09 MB)
(1.09 MB)
“MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing,”
ISC High Performance, Frankfurt, Germany, Springer International Publishing, June 2019.
(1.37 MB) (8.72 MB)
(1.37 MB) (8.72 MB)
“OpenDIEL: A Parallel Workflow Engine and DataAnalytics Framework,”
Practice and Experience in Advanced Research Computing (PEARC ’19), Chicago, IL, ACM, July 2019.
(1.48 MB)
(1.48 MB)
“PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP,”
ACM Transactions on Mathematical Software, vol. 45, issue 2, June 2019.
(7.5 MB)
(7.5 MB)
