Publications

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Submitted
Haidar, A., H. Jagode, P. Vaccaro, S. Tomov, and J. Dongarra, Investigating Power Capping toward Energy-Efficient Scientific Applications,” Concurrency and Computation: Practice and Experience (CCPE): Special Issue on Power-Aware Computing 2017, Submitted.
2018
Yamazaki, I., A. Abdelfattah, A. Ida, S. Ohshima, S. Tomov, R. Yokota, and J. Dongarra, Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU clusters,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, British Columbia, Canada, IEEE, May 2018.  (1.37 MB)
Marques, O., J. Demmel, and P. B. Vasconcelos, 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)
Caniou, Y., E. Caron, A. Kong Win Chang, and Y. Robert, Budget-aware scheduling algorithms for scientific workflows with stochastic task weights on heterogeneous IaaS cloud platforms,” 27th International Heterogeneity in Computing Workshop {HCW 2013}: IEEE Computer Society Press, 2018.  (1.31 MB)
Han, L., L-C. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors,” IEEE Transactions on Computers, vol. PP, issue 99, 2018.
Casanova, H., J. Herrmann, and Y. Robert, Computing the expected makespan of task graphs in the presence of silent errors,” Parallel Computing, vol. 75, 2018.  (2.56 MB)
Aupy, G., A. Benoit, S. Dai, L. Pottier, P. Raghavan, Y. Robert, and M. Shantharam, Co-scheduling Amdhal applications on cache-partitioned systems,” Int. Journal of High Performance Computing Applications, vol. 32, no. 1, pp. 123-138, 2018.  (672.52 KB)
Bouteiller, A., G. Bosilca, T. Herault, and J. Dongarra, Data Movement Interfaces to Support Dataflow Runtimes,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-03: University of Tennessee, May 2018.  (210.94 KB)
Jagode, H., A. Danalis, R. Hoque, M. Faverge, and J. Dongarra, Evaluation of Dataflow Programming Models for Electronic Structure Theory,” Concurrency and Computation: Practice and Experience (CCPE): Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1--20, May 2018.  (1.69 MB)
Anzt, H., T. Huckle, J. Bräckle, and J. Dongarra, Incomplete Sparse Approximate Inverses for Parallel Preconditioning,” Parallel Computing, vol. 71, pp. 1–22, January 2018.
Haidar, A., H. Jagode, P. Vaccaro, A. YarKhan, S. Tomov, and J. Dongarra, Investigating power capping toward energy-efficient scientific applications,” Concurrency Computatation: Practice and Experience, vol. 2018, issue e4485, pp. 1--14, April 2018.  (1.2 MB)
Herault, T., Y. Robert, A. Bouteiller, D. Arnold, K. Ferreira, G. Bosilca, and J. Dongarra, Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms,” APDCM workshop (co-located with IPDPS), Vancouver, BC, Canada, IEEE, May 2018.  (899.3 KB)
Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Wu, P. Luszczek, J. Finney, and J. Dongarra, Parallel BLAS Performance Report,” SLATE Working Notes, no. 5, ICL-UT-18-01: University of Tennessee, April 2018.  (4.39 MB)
Anzt, H., E. Chow, and J. Dongarra, ParILUT - A New Parallel Threshold ILU , Tokyo, Japan, SIAM Conference on Parallel Processing for Scientific Computing, March 2018.  (19.26 MB)
Hoemmen, M., and I. Yamazaki, Production Implementations of Pipelined & Communication-Avoiding Iterative Linear Solvers , Tokyo, Japan, SIAM Conference on Parallel Processing for Scientific Computing, March 2018.  (2.34 MB)
Yamazaki, I., J. Kurzak, P. Wu, M. Zounon, and J. Dongarra, Symmetric Indefinite Linear Solver using OpenMP Task on Multicore Architectures,” IEEE Transactions on Parallel and Distributed Systems, 2018.  (2.88 MB)
2017
Jagode, H., A. Danalis, and J. Dongarra, Accelerating NWChem Coupled Cluster through Dataflow-Based Execution,” The International Journal of High Performance Computing Applications, pp. 1–13, January 2017.  (4.07 MB)
Gates, M., S. Tomov, and J. Dongarra, Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,” Parallel Computing, November 2017.
Seo, S., A. Amer, P. Balaji, C. Bordage, G. Bosilca, A. Brooks, P. Carns, A. Castello, D. Genet, T. Herault, et al., Argobots: A Lightweight Low-Level Threading and Tasking Framework,” IEEE Transactions on Parallel and Distributed Systems, October 2017.
Aupy, G., Y. Robert, and F. Vivien, Assuming failure independence: are we right to be wrong?,” The 3rd International Workshop on Fault Tolerant Systems (FTS), Honolulu, Hawaii, IEEE, September 2017.  (597.11 KB)
Gates, M., J. Kurzak, P. Luszczek, Y. Pei, and J. Dongarra, Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices,” Parallel and Distributed Processing Symposium Workshops (IPDPSW), Orlando, FL, IEEE, June 2017.
Anzt, H., J. Dongarra, G. Flegar, and E. S. Quintana-Ortí, Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs,” Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, New York, NY, USA, ACM, pp. 1–10, February 2017.  (552.62 KB)
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.
Faverge, M., J. Langou, Y. Robert, and J. Dongarra, Bidiagonalization and R-Bidiagonalization: Parallel Tiled Algorithms, Critical Paths and Distributed-Memory Implementation,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, IEEE, May 2017.  (328.15 KB)
Anzt, H., J. Dongarra, M. Gates, J. Kurzak, P. Luszczek, S. Tomov, and I. Yamazaki, Bringing High Performance Computing to Big Data Algorithms,” Handbook of Big Data Technologies: Springer, 2017.
Abdelfattah, A., K. Arturov, C. Cecka, J. Dongarra, C. Freitag, M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, et al., C++ API for Batch BLAS,” SLATE Working Notes, no. 4, ICL-UT-17-12: University of Tennessee, December 2017.  (1.89 MB)
Gates, M., P. Luszczek, A. Abdelfattah, J. Kurzak, J. Dongarra, K. Arturov, C. Cecka, and C. Freitag, C++ API for BLAS and LAPACK,” SLATE Working Notes, no. 2, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.  (1.12 MB)
Fayad, D., J. Kurzak, P. Luszczek, P. Wu, and J. Dongarra, 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)
Han, L., L-C. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors,” IEEE Cluster, Honolulu, Hawaii, IEEE, September 2017.  (400.64 KB)
Yamazaki, I., M. Hoemmen, P. Luszczek, and J. Dongarra, Comparing performance of s-step and pipelined GMRES on distributed-memory multicore CPUs , Pittsburgh, Pennsylvania, SIAM Annual Meeting, July 2017.  (748 KB)
Aupy, G., A. Benoit, L. Pottier, P. Raghavan, Y. Robert, and M. Shantharam, Co-Scheduling Algorithms for Cache-Partitioned Systems,” 19th Workshop on Advances in Parallel and Distributed Computational Models, Orlando, FL, IEEE Computer Society Press, May 2017.  (584.76 KB)
Jagode, H., Dataflow Programming Paradigms for Computational Chemistry Methods,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-01, Knoxville, TN, University of Tennessee, May 2017.
Kurzak, J., P. Luszczek, I. Yamazaki, Y. Robert, and J. Dongarra, Design and Implementation of the PULSAR Programming System for Large Scale Computing,” Supercomputing Frontiers and Innovations, vol. 4, issue 1, 2017.
Dongarra, J., S. Hammarling, N. Higham, S. Relton, P. Valero-Lara, and M. Zounon, The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems,” International Conference on Computational Science (ICCS 2017), Zürich, Switzerland, Elsevier, June 2017.
Kurzak, J., P. Wu, M. Gates, I. Yamazaki, P. Luszczek, G. Ragghianti, and J. Dongarra, Designing SLATE: Software for Linear Algebra Targeting Exascale,” SLATE Working Notes, no. 3, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.  (2.8 MB)
Hoque, R., T. Herault, G. Bosilca, and J. Dongarra, Dynamic Task Discovery in PaRSEC- A data-flow task-based Runtime,” ScalA17, Denver, ACM, September 2017.  (1.15 MB)
Zhao, Y., L. Wan, W. Wu, G. Bosilca, R. Vuduc, J. Ye, W. Tang, and Z. Xu, Efficient Communications in Training Large Scale Neural Networks,” ACM MultiMedia Workshop 2017, Mountain View, CA, ACM, October 2017.  (1.41 MB)
M. Lopez, G., V. Larrea, W. Joubert, O. Hernandez, A. Haidar, S. Tomov, and J. Dongarra, Evaluation of Directive-based Performance Portable Programming Models,” International Journal of High Performance Computing and Networking (IJHPCN), vol. (In Press), 2017.
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures,” Procedia Computer Science, vol. 108, pp. 606–615, June 2017.
Bosilca, G., A. Bouteiller, A. Guermouche, T. Herault, Y. Robert, P. Sens, and J. Dongarra, A Failure Detector for HPC Platforms,” The International Journal of High Performance Computing Applications, July 2017.  (1.04 MB)
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Fast Cholesky Factorization on GPUs for Batch and Native Modes in MAGMA,” Journal of Computational Science, vol. 20, pp. 85–93, May 2017.
Anzt, H., G. Collins, J. Dongarra, G. Flegar, and E. S. Quintana-Ortí, 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)
Anzt, H., G. Collins, J. Dongarra, G. Flegar, and E. S. Quintana-Ortí, Flexible Batched Sparse Matrix-Vector Product on GPUs,” Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA '17), Denver, Colorado, ACM Press, November 2017.
Kabir, K., A. Haidar, S. Tomov, A. Bouteiller, and J. Dongarra, A Framework for Out of Memory SVD Algorithms,” ISC High Performance 2017, pp. 158–178, June 2017.  (393.22 KB)
Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, High-performance Cholesky Factorization for GPU-only Execution,” Proceedings of the General Purpose GPUs (GPGPU-10), Austin, TX, ACM, February 2017.  (872.18 KB)
Benoit, A., F. Cappello, A. Cavelan, Y. Robert, and H. Sun, Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale,” 2017 Workshop on Fault-Tolerance for HPC at Extreme Scale, Washington, DC, ACM, June 2017.  (865.68 KB)
Yamazaki, I., M. Hoemmen, P. Luszczek, and J. Dongarra, Improving Performance of GMRES by Reducing Communication and Pipelining Global Collectives,” Proceedings of The 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2017), Best Paper Award, Orlando, FL, June 2017.  (453.66 KB)
Haidar, A., P. Wu, S. Tomov, and J. Dongarra, Investigating Half Precision Arithmetic to Accelerate Dense Linear System Solvers,” ScalA17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, ACM, 11/2017.  (766.35 KB)
Yamazaki, I., and J. Dongarra, LAWN 294: Aasen's Symmetric Inde nite Linear Solvers in LAPACK,” LAPACK Working Note, no. LAWN 294, ICL-UT-17-13: University of Tennessee, December 2017.  (854.1 KB)
Bell, G., D. Bailey, A. H. Karp, J. Dongarra, and K. Walsh, A Look Back on 30 Years of the Gordon Bell Prize,” International Journal of High Performance Computing and Networking, vol. 31, issue 6, pp. 469–484, 2017.

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