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2024

Hoefler, T., M. Copik, P. Beckman, A. Jones, I. Foster, M. Parashar, D. Reed, M. Troyer, T. Schulthess, D. Ernst, et al., XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing : arXiv, January 2024.

2023

Thiyagalingam, J., G. von Laszewski, J. Yin, M. Emani, J. Papay, G. Barrett, P. Luszczek, A. Tsaris, C. Kirkpatrick, F. Wang, et al., “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.

2022

Bak, S., C. Bertoni, S. Boehm, R. Budiardja, B. M. Chapman, J. Doerfert, M. Eisenbach, H. Finkel, O. Hernandez, J. Huber, et al., “OpenMP application experiences: Porting to accelerated nodes,” Parallel Computing, vol. 109, March 2022.

Murray, R., J. Demmel, M. W. Mahoney, B. N. Erichson, M. Melnichenko, O. Asif Malik, L. Grigori, P. Luszczek, M. Dereziński, M. E. Lopes, et al., “Randomized Numerical Linear Algebra: A Perspective on the Field with an Eye to Software,” University of California, Berkeley EECS Technical Report, no. UCB/EECS-2022-258: University of California, Berkeley, November 2022.

(1.05 MB)

(1.54 MB)

Agullo, E., M. Altenbernd, H. Anzt, L. Bautista-Gomez, T. Benacchio, L. Bonaventura, H-J. Bungartz, S. Chatterjee, F. M. Ciorba, N. DeBardeleben, et al., “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.

Agullo, E., M. Altenbernd, H. Anzt, L. Bautista-Gomez, T. Benacchio, L. Bonaventura, H-J. Bungartz, S. Chatterjee, F. M. Ciorba, N. DeBardeleben, et al., “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.

2021

Benoit, A., R. Elghazi, and Y. Robert, “Max-Stretch Minimization on an Edge-Cloud Platform,” IPDPS'2021, the 34th IEEE International Parallel and Distributed Processing Symposium: IEEE Computer Society Press, 2021.

(4.94 MB)

2020

Pei, Y., Q. Cao, G. Bosilca, P. Luszczek, V. Eijkhout, and J. Dongarra, “Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime,” 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), New Orleans, LA, IEEE, May 2020.

(1.33 MB)

Tomov, S., K. Wong, J. Dongarra, R. Archibald, E. Chow, E. D'Azevedo, M. Eisenbach, R. Febbo, F. Lopez, D. Nichols, et al., Integrating Deep Learning in Domain Science at Exascale (MagmaDNN) , virtual, DOD HPCMP seminar, December 2020.

(11.12 MB)

Archibald, R., E. Chow, E. D'Azevedo, J. Dongarra, M. Eisenbach, R. Febbo, F. Lopez, D. Nichols, S. Tomov, K. Wong, et al., “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)

Archibald, R., E. Chow, E. D'Azevedo, J. Dongarra, M. Eisenbach, R. Febbo, F. Lopez, D. Nichols, S. Tomov, K. Wong, et al., “Integrating Deep Learning in Domain Sciences at Exascale,” 2020 Smoky Mountains Computational Sciences and Engineering Conference (SMC 2020), August 2020.

2019

Patinyasakdikul, T., D. Eberius, G. Bosilca, and N. Hjelm, “Give MPI Threading a Fair Chance: A Study of Multithreaded MPI Designs,” IEEE Cluster, Albuquerque, NM, IEEE, September 2019.

(220.84 KB)

Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, “Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators,” ACM International Conference on Supercomputing (ICS '19), Phoenix, Arizona, ACM, pp. 117–126, June 2019.

(1.63 MB)

2018

Ahrens, J., C. M. Biwer, A. Costan, G. Antoniu, M. S. Pérez, N. Stojanovic, R. Badia, O. Beckstein, G. Fox, S. Jha, et al., “A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.

(9.26 MB)

Ahrens, J., C. M. Biwer, A. Costan, G. Antoniu, M. S. Pérez, N. Stojanovic, R. Badia, O. Beckstein, G. Fox, S. Jha, et al., “A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.

(9.26 MB)

2017

Abdelfattah, A., M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, T. Kolev, I. Masliah, et al., 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)

Eberius, D., T. Patinyasakdikul, and G. Bosilca, “Using Software-Based Performance Counters to Expose Low-Level Open MPI Performance Information,” EuroMPI, Chicago, IL, ACM, September 2017.

(745.58 KB)

2016

Abdelfattah, A., M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, T. Kolev, I. Masliah, et al., “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)

Abdelfattah, A., M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, T. Kolev, I. Masliah, et al., “High-Performance Tensor Contractions for GPUs,” International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.

(2.36 MB)

2015

Baboulin, M., V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, T. Kolev, I. Masliah, and S. Tomov, Towards a High-Performance Tensor Algebra Package for Accelerators , Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC15), September 2015.

(1.76 MB)

2007

Eijkhout, V., “Numerical Metadata API Reference,” Innovative Computing Laboratory Technical Report, February 2007.

(454.79 KB)

2006

Bhowmick, S., V. Eijkhout, Y. Freund, E. Fuentes, and D. Keyes, “Application of Machine Learning to the Selection of Sparse Linear Solvers,” International Journal of High Performance Computing Applications (submitted), 00 2006.

(392.96 KB)

Dongarra, J., N. Emad, and S. Abolfazl Shahzadeh-Fazeli, “An Asynchronous Algorithm on NetSolve Global Computing System,” Future Generation Computer Systems, vol. 22, issue 3, pp. 279-290, February 2006.

(568.92 KB)

Bosilca, G., Z. Chen, J. Dongarra, V. Eijkhout, G. Fagg, E. Fuentes, J. Langou, P. Luszczek, J. Pjesivac–Grbovic, K. Seymour, et al., “Self Adapting Numerical Software SANS Effort,” IBM Journal of Research and Development, vol. 50, no. 2/3, pp. 223-238, January 2006.

(357.53 KB)

2005

Eijkhout, V., E. Fuentes, T. Eidson, and J. Dongarra, “The Component Structure of a Self-Adapting Numerical Software System,” International Journal of Parallel Programming, vol. 33, no. 2, June 2005.

(64.88 KB)

Eijkhout, V., E. Fuentes, T. Eidson, and J. Dongarra, “The Component Structure of a Self-Adapting Numerical Software System,” International Journal of Parallel Programming, vol. 33, no. 2, June 2005.

(64.88 KB)

Cronk, D., G. Fagg, S. Emeny, and S. Tucker, “Dynamic Process Management for Pipelined Applications,” Proceedings of DoD HPCMP UGC 2005 (to appear), Nashville, TN, IEEE, January 2005.

Mucci, P., D. Ahlin, J. Danielsson, P. Ekman, and L. Malinowski, “PerfMiner: Cluster-Wide Collection, Storage and Presentation of Application Level Hardware Performance Data,” European Conference on Parallel Processing (Euro-Par 2005), Monte de Caparica, Portugal, Springer, September 2005.

(205.45 KB)

Giraud, L., J. Langou, M. Rozložník, and J. van den Eshof, “Rounding Error Analysis of the Classical Gram-Schmidt Orthogonalization Process,” Numerische Mathematik, vol. 101, no. 1, pp. 87-100, January 2005.

(157.48 KB)

2004

Emad, N., S. A. S. Fazeli, and J. Dongarra, “An Asynchronous Algorithm on NetSolve Global Computing System,” PRiSM - Laboratoire de recherche en informatique, Université de Versailles St-Quentin Technical Report, March 2004.

(377.33 KB)

Eidson, T., V. Eijkhout, and J. Dongarra, “Improvements in the Efficient Composition of Applications,” IPDPS 2004, NGS Workshop (to appear), Sante Fe, 00 2004.

(42.85 KB)

Eidson, T., V. Eijkhout, and J. Dongarra, “Improvements in the Efficient Composition of Applications,” IPDPS 2004, NGS Workshop (to appear), Sante Fe, 00 2004.

(42.85 KB)

Buttari, A., V. Eijkhout, J. Langou, and S. Filippone, “Performance Optimization and Modeling of Blocked Sparse Kernels,” ICL Technical Report, no. ICL-UT-04-05, 00 2004.

(229.58 KB)

Demmel, J., J. Dongarra, V. Eijkhout, E. Fuentes, A. Petitet, R. Vuduc, C. Whaley, and K. Yelick, “Self Adapting Linear Algebra Algorithms and Software,” IEEE Proceedings (to appear), 00 2004.

(587.67 KB)

Casanova, H., T. Bartol, F. Berman, A. Birnbaum, J. Dongarra, M. Ellisman, M. Faerman, E. Gockay, M. Miller, G. Obertelli, et al., “The Virtual Instrument: Support for Grid-enabled Scientific Simulations,” International Journal of High Performance Computing Applications, vol. 18, no. 1, pp. 3-17, January 2004.

(282.16 KB)

2003

Eidson, T., J. Dongarra, and V. Eijkhout, “Applying Aspect-Oriented Programming Concepts to a Component-based Programming Model,” IPDPS 2003, Workshop on NSF-Next Generation Software, Nice, France, March 2003.

(66.99 KB)

Eidson, T., J. Dongarra, and V. Eijkhout, “Applying Aspect-Oriented Programming Concepts to a Component-based Programming Model,” IPDPS 2003, Workshop on NSF-Next Generation Software, Nice, France, March 2003.

(66.99 KB)

Dongarra, J., and V. Eijkhout, “Finite-choice Algorithm Optimization in Conjugate Gradients (LAPACK Working Note 159),” University of Tennessee Computer Science Technical Report, UT-CS-03-502, January 2003.

(64.52 KB)

Eijkhout, V., and E. Fuentes, “A Proposed Standard for Matrix Metadata,” Innovative Computing Laboratory Technical Report, no. ICL-UT-03-02, Submitted to ACM TOMS, November 2003.

(13.39 KB)

Beck, M., J. Dongarra, V. Eijkhout, M. Langston, T. Moore, and J. Plank, “Scalable, Trustworthy Network Computing Using Untrusted Intermediaries: A Position Paper,” DOE/NSF Workshop on New Directions in Cyber-Security in Large-Scale Networks: Development Obstacles, National Conference Center - Landsdowne, Virginia, March 2003.

(54.62 KB)

Dongarra, J., and V. Eijkhout, “Self Adapting Numerical Algorithm for Next Generation Applications,” International Journal of High Performance Computing Applications, vol. 17, no. 2, pp. 125-132, January 2003.

(479.18 KB)

Dongarra, J., and V. Eijkhout, “Self-Adapting Numerical Software and Automatic Tuning of Heuristics,” Lecture Notes in Computer Science, vol. 2660, Melbourne, Australia, Springer Verlag, pp. 759-770, June 2003.

(45.95 KB)

2002

Dongarra, J., V. Eijkhout, and H. van der Vorst, “An Iterative Solver Benchmark,” Scientific Programming (to appear), 00 2002.

(142.67 KB)

Eijkhout, V., “Polynomial Acceleration of Optimised Multi-grid Smoothers; Basic Theory,” ICL Technical Report, vol. 156, no. ICL-UT-02-03, January 2002.

(100.66 KB)

Dongarra, J., and V. Eijkhout, “Self-adapting Numerical Software for Next Generation Applications (LAPACK Working Note 157),” ICL Technical Report, no. ICL-UT-02-07, 00 2002.

(475.94 KB)

Casanova, H., T. Bartol, F. Berman, A. Birnbaum, J. Dongarra, M. Ellisman, M. Faerman, E. Gockay, M. Miller, G. Obertelli, et al., “The Virtual Instrument: Support for Grid-enabled Scientific Simulations,” Journal of Parallel and Distributed Computing (submitted), October 2002.

(282.16 KB)

2001

Eijkhout, V., “Automatic Determination of Matrix-Blocks,” Lapack Working Note 151, University of Tennessee Computer Science Technical Report, no. UT-CS-01-458, January 2001.

(1.15 MB)

Dongarra, J., V. Eijkhout, and H. van der Vorst, “Iterative Solver Benchmark (LAPACK Working Note 152),” Scientific Programming, vol. 9, no. 4, pp. 223-231, 00 2001.

(168.05 KB)

Petitet, A., S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche, and S. Vadhiyar, “Numerical Libraries and The Grid,” International Journal of High Performance Applications and Supercomputing, vol. 15, no. 4, pp. 359-374, January 2001.

(67.09 KB)

Petitet, A., S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche, and S. Vadhiyar, “Numerical Libraries and The Grid: The Grads Experiments with ScaLAPACK,” University of Tennessee Computer Science Technical Report, no. UT-CS-01-460, January 2001.

(91.78 KB)

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