Publications

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Beck, M., J. Dongarra, J. Huang, T. Moore, and J. Plank, Active Logistical State Management in the GridSolve/L,” 4th International Symposium on Cluster Computing and the Grid (CCGrid 2004)(submitted), Chicago, Illinois, January 2004.  (123.69 KB)
Beck, M., T. Moore, L. Abrahamsson, C. Achouiantz, and P. Johansson, Enabling Full Service Surrogates Using the Portable Channel Representation,” Tenth International World Wide Web Conference Proceedings (to appear),, Hong Kong, May 2001.  (267.23 KB)
Beck, M., J. Dongarra, G. Fagg, A. Geist, P. Gray, J. Kohl, M. Migliardi, K. Moore, T. Moore, P. Papadopoulous, et al., HARNESS: A Next Generation Distributed Virtual Machine,” International Journal on Future Generation Computer Systems, vol. 15, no. 5-6, pp. 571-582, January 1999.  (183.78 KB)
Beck, M., D. Arnold, A. Bassi, F. Berman, H. Casanova, J. Dongarra, T. Moore, G. Obertelli, J. Plank, M. Swany, et al., Logistical Computing and Internetworking: Middleware for the Use of Storage in Communication,” submitted to SC2001, Denver, Colorado, November 2001.  (41.79 KB)
Beck, M., R. Chawla, B. Dempsey, and T. Moore, Portable Representation of Internet Content Channels in I2-DSI,” 4th Intl. Web Caching Workshop, San Diego, CA, March 1999.
Beck, M., D. Arnold, A. Bassi, F. Berman, H. Casanova, J. Dongarra, T. Moore, G. Obertelli, J. Plank, M. Swany, et al., Middleware for the Use of Storage in Communication,” Parallel Computing, vol. 28, no. 12, pp. 1773-1788, August 2002.  (87.97 KB)
Beams, N., A. Abdelfattah, S. Tomov, J. Dongarra, T. Kolev, and Y. Dudouit, 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)
Bautista-Gomez, L., A. Benoit, S. Di, T. Herault, Y. Robert, and H. Sun, A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?,” Future Generation Computer Systems, July 2024. DOI: 10.1016/j.future.2024.07.022
Bathie, G., L. Marchal, Y. Robert, and S. Thibault, Revisiting Dynamic DAG Scheduling under Memory Constraints for Shared-Memory Platforms,” 22nd Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2020), New Orleans, LA, IEEE Computer Society Press, May 2020.  (317.93 KB)
Bathie, G., L. Marchal, Y. Robert, and S. Thibault, Dynamic DAG scheduling under memory constraints for shared-memory platforms,” Int. J. of Networking and Computing, vol. 11, no. 1, pp. 27-49, 2021.  (574.64 KB)
Bassi, A., M. Beck, J. Plank, and R. Wolski, Internet Backplane Protocol: API 1.0,” University of Tennessee Computer Science Technical Report, no. UT-CS-01-464, January 2001.  (55.33 KB)
Bassi, A., M. Beck, G. Fagg, T. Moore, J. Plank, M. Swany, and R. Wolski, The Internet BackPlane Protocol: A Study in Resource Sharing,” Proceedings of the second IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID 2002), Berlin, Germany, October 2002.
Bassi, A., and X. Li, Internet Backplane Protocol - Test Language v. 1.0,” University of Tennessee Computer Science Technical Report, no. UT-CS-01-464, January 2001.  (22.43 KB)
Bartlett, R., xSDK4ECP: Extreme-scale Scientific Software Development Kit for ECP (Poster) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (1.54 MB)
Barry, D., A. Danalis, and H. Jagode, Effortless Monitoring of Arithmetic Intensity with PAPI’s Counter Analysis Toolkit,” Tools for High Performance Computing 2018/2019: Springer, pp. 195–218, 2021. DOI: 10.1007/978-3-030-66057-4_11
Barry, D., H. Jagode, A. Danalis, and J. Dongarra, Memory Traffic and Complete Application Profiling with PAPI Multi-Component Measurements,” 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), St. Petersburg, Florida, IEEE, August 2023. DOI: 10.1109/IPDPSW59300.2023.00070  (1.81 MB)
Barry, D., H. Jagode, A. Danalis, and J. Dongarra, Memory Traffic and Complete Application Profiling with PAPI Multi-Component Measurements , St. Petersburg, FL, 28th HIPS Workshop, May 2023.  (3.99 MB)
Barry, D., A. Danalis, and H. Jagode, Effortless Monitoring of Arithmetic Intensity with PAPI's Counter Analysis Toolkit,” 13th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, Springer International Publishing, September 2020.  (738.47 KB)
Barbut, Q., A. Benoit, T. Herault, Y. Robert, and F. Vivien, When to checkpoint at the end of a fixed-length reservation?,” Fault Tolerance for HPC at eXtreme Scales (FTXS) Workshop, Denver, United States, August 2023.
Ballard, G., D. Becker, J. Demmel, J. Dongarra, A. Druinsky, I. Peled, O. Schwartz, S. Toledo, and I. Yamazaki, Communication-Avoiding Symmetric-Indefinite Factorization,” SIAM Journal on Matrix Analysis and Application, vol. 35, issue 4, pp. 1364-1406, July 2014.  (593.18 KB)
Balaprakash, P., J. Dongarra, T. Gamblin, M. Hall, J. Hollingsworth, B. Norris, and R. Vuduc, Autotuning in High-Performance Computing Applications,” Proceedings of the IEEE, vol. 106, issue 11, pp. 2068–2083, November 2018. DOI: 10.1109/JPROC.2018.2841200  (2.5 MB)
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. DOI: 10.1016/j.parco.2021.102856
Bak, S., O. Hernandez, M. Gates, P. Luszczek, and V. Sarkar, Task-graph scheduling extensions for efficient synchronization and communication,” Proceedings of the ACM International Conference on Supercomputing, pp. 88–101, 2021. DOI: 10.1145/3447818.3461616
Bailey, D., J. Chame, C. Chen, J. Dongarra, M. Hall, J. K. Hollingsworth, P. D. Hovland, S. Moore, K. Seymour, J. Shin, et al., PERI Auto-tuning,” Proc. SciDAC 2008, vol. 125, Seatlle, Washington, Journal of Physics, January 2008.  (873.75 KB)
Bai, Z., J. Demmel, J. Dongarra, J. Langou, and J. Wang, LAPACK,” Handbook of Linear Algebra, Second, Boca Raton, FL, CRC Press, 2013.  (223.21 KB)
Bai, Z., J. Dongarra, D. Lu, and I. Yamazaki, Matrix Powers Kernels for Thick-Restart Lanczos with Explicit External Deflation,” International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, IEEE, May 2019.  (480.73 KB)
Badia, R. M., M. Beck, F. Bodin, T. Boku, F. Cappello, A. Choudhary, C. Costa, E. Deelman, N. Ferrier, K. Fujisawa, et al., 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)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, Computing the Conditioning of the Components of a Linear Least Squares Solution,” VECPAR '08, High Performance Computing for Computational Science, Toulouse, France, January 2008.  (374.97 KB)
Baboulin, M., D. Becker, and J. Dongarra, A parallel tiled solver for dense symmetric indefinite systems on multicore architectures,” University of Tennessee Computer Science Technical Report, no. ICL-UT-11-07, October 2011.  (544.2 KB)
Baboulin, M., J. Dongarra, J. Herrmann, and S. Tomov, Accelerating Linear System Solutions Using Randomization Techniques,” ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013. DOI: 10.1145/2427023.2427025  (358.79 KB)
Baboulin, M., J. Dongarra, A. Remy, S. Tomov, and I. Yamazaki, Solving Dense Symmetric Indefinite Systems using GPUs,” Concurrency and Computation: Practice and Experience, vol. 29, issue 9, March 2017. DOI: 10.1002/cpe.4055  (1.94 MB)
Baboulin, M., D. Becker, G. Bosilca, A. Danalis, and J. Dongarra, An efficient distributed randomized solver with application to large dense linear systems,” ICL Technical Report, no. ICL-UT-12-02, July 2012.  (626.26 KB)
Baboulin, M., A. Buttari, J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, Accelerating Scientific Computations with Mixed Precision Algorithms,” Computer Physics Communications, vol. 180, issue 12, pp. 2526-2533, December 2009. DOI: 10.1016/j.cpc.2008.11.005  (402.69 KB)
Baboulin, M., D. Becker, and J. Dongarra, A Parallel Tiled Solver for Symmetric Indefinite Systems On Multicore Architectures,” IPDPS 2012, Shanghai, China, May 2012.  (544.09 KB)
Baboulin, M., J. Demmel, J. Dongarra, S. Tomov, and V. Volkov, 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)
Baboulin, M., J. Dongarra, A. Remy, S. Tomov, and I. Yamazaki, Dense Symmetric Indefinite Factorization on GPU Accelerated Architectures,” Lecture Notes in Computer Science, vol. 9573: Springer International Publishing, pp. 86-95, September 2015, 2016. DOI: 10.1007/978-3-319-32149-3_9  (327.14 KB)
Baboulin, M., J. Dongarra, J. Herrmann, and S. Tomov, Accelerating Linear System Solutions Using Randomization Techniques,” INRIA RR-7616 / LAWN #246 (presented at International AMMCS’11), Waterloo, Ontario, Canada, July 2011.  (358.79 KB)
Baboulin, M., and S. Gratton, Using dual techniques to derive componentwise and mixed condition numbers for a linear functional of a linear least squares solution,” University of Tennessee Computer Science Technical Report, UT-CS-08-622 (also LAPACK Working Note 207), January 2008.  (159.65 KB)
Baboulin, M., D. Becker, G. Bosilca, A. Danalis, and J. Dongarra, An Efficient Distributed Randomized Algorithm for Solving Large Dense Symmetric Indefinite Linear Systems,” Parallel Computing, vol. 40, issue 7, pp. 213-223, July 2014. DOI: 10.1016/j.parco.2013.12.003  (1.42 MB)
Baboulin, M., J. Dongarra, and R. Lacroix, Computing Least Squares Condition Numbers on Hybrid Multicore/GPU Systems,” International Interdisciplinary Conference on Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, Ontario, CA, August 2014.  (130.18 KB)
Baboulin, M., J. Dongarra, and S. Tomov, Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-08-615 (also LAPACK Working Note 200), January 2008.  (289.93 KB)
Baboulin, M., S. Donfack, J. Dongarra, L. Grigori, A. Remi, and S. Tomov, A Class of Communication-Avoiding Algorithms for Solving General Dense Linear Systems on CPU/GPU Parallel Machines,” Proc. of the International Conference on Computational Science (ICCS), vol. 9, pp. 17-26, June 2012.
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, Computing the Conditioning of the Components of a Linear Least Squares Solution,” University of Tennessee Computer Science Technical Report, no. UT-CS-07-604, (also LAPACK Working Note 193), January 2007.  (374.97 KB)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, Computing the Conditioning of the Components of a Linear Least-squares Solution,” Numerical Linear Algebra with Applications, vol. 16, no. 7, pp. 517-533, 00 2009.  (374.97 KB)
Baboulin, M., S. Tomov, and J. Dongarra, Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,” PARA 2008, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing, Trondheim Norway, May 2008.
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)
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Ayala, A., S. Tomov, P. Luszczek, S. Cayrols, G. Ragghianti, and J. Dongarra, FFT Benchmark Performance Experiments on Systems Targeting Exascale,” ICL Technical Report, no. ICL-UT-22-02, March 2022.  (5.87 MB)
Ayala, A., S. Tomov, P. Luszczek, S. Cayrols, G. Ragghianti, and J. Dongarra, 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)
Ayala, A., S. Tomov, M. Stoyanov, A. Haidar, and J. Dongarra, Accelerating Multi - Process Communication for Parallel 3-D FFT,” 2021 Workshop on Exascale MPI (ExaMPI), St. Louis, MO, USA, IEEE, December 2021. DOI: 10.1109/ExaMPI54564.2021.00011
Ayala, A., S. Tomov, P. Luszczek, S. Cayrols, G. Ragghianti, and J. Dongarra, Interim Report on Benchmarking FFT Libraries on High Performance Systems,” Innovative Computing Laboratory Technical Report, no. ICL-UT-21-03: University of Tennessee, July 2021.  (2.68 MB)

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