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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, pp. 41–60, July 2018.  (2.56 MB)
Benoit, A., A. Cavelan, F. Cappello, P. Raghavan, Y. Robert, and H. Sun, Coping with Silent and Fail-Stop Errors at Scale by Combining Replication and Checkpointing,” Journal of Parallel and Distributed Computing, vol. 122, pp. 209–225, December 2018.  (837 KB)
Aupy, G., A. Benoit, S. Dai, L. Pottier, P. Raghavan, Y. Robert, and M. Shantharam, Co-Scheduling Amdhal Applications on Cache-Partitioned Systems,” International Journal of High Performance Computing Applications, vol. 32, issue 1, pp. 123–138, January 2018.  (672.52 KB)
Aupy, G., A. Benoit, B. Goglin, L. Pottier, and Y. Robert, Co-Scheduling HPC Workloads on Cache-Partitioned CMP Platforms,” Cluster 2018, Belfast, UK, IEEE Computer Society Press, September 2018.  (423.75 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)
Haidar, A., A. Abdelfattah, M. Zounon, P. Wu, S. Pranesh, S. Tomov, and J. Dongarra, The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques,” International Conference on Computational Science (ICCS 2018), vol. 10860, Wuxi, China, Springer, pp. 586–600, June 2018.
Le Fèvre, V., G. Bosilca, A. Bouteiller, T. Herault, A. Hori, Y. Robert, and J. Dongarra, Do moldable applications perform better on failure-prone HPC platforms?,” 11th Workshop on Resiliency in High Performance Computing in Clusters, Clouds, and Grids, Turin, Italy, Springer Verlag, August 2018.  (360.72 KB)
Bouteiller, A., S. Pophale, S. Boehm, M. B. Baker, and M. Gorentla Venkata, Evaluating Contexts in OpenSHMEM-X Reference Implementation,” OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence, Cham, Springer International Publishing, pp. 50–62, 2018.
Tomov, S., A. Haidar, D. Schultz, and J. Dongarra, Evaluation and Design of FFT for Distributed Accelerated Systems,” ECP WBS 2.3.3.09 Milestone Report, no. FFT-ECP ST-MS-10-1216: Innovative Computing Laboratory, University of Tennessee, October 2018.  (7.53 MB)
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: Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1–20, May 2018.  (1.69 MB)
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, vol. 32, issue 1, pp. 139–158, January 2018.  (1.04 MB)
Han, L., V. Le Fèvre, L-C. Canon, Y. Robert, and F. Vivien, A Generic Approach to Scheduling and Checkpointing Workflows,” The 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, IEEE Computer Society Press, August 2018.  (737.11 KB)
Haidar, A., A. Abdelfattah, M. Zounon, S. Tomov, and J. Dongarra, A Guide for Achieving High Performance with Very Small Matrices on GPUs: A Case Study of Batched LU and Cholesky Factorizations,” IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 5, pp. 973–984, May 2018.  (832.92 KB)
Haidar, A., S. Tomov, J. Dongarra, and N. J. Higham, Harnessing GPU Tensor Cores for Fast FP16 Arithmetic to Speed up Mixed-Precision Iterative Refinement Solvers,” The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Dallas, TX, IEEE, November 2018.
Anzt, H., T. Gruetzmacher, E. Quintana-Orti, and F. Scheidegger, High-Performance GPU Implementation of PageRank with Reduced Precision based on Mantissa Segmentation,” 8th Workshop on Irregular Applications: Architectures and Algorithms, 2018.
Abdelfattah, A., M. Gates, J. Kurzak, P. Luszczek, and J. Dongarra, Implementation of the C++ API for Batch BLAS,” SLATE Working Notes, no. 7, ICL-UT-18-04: Innovative Computing Laboratory, University of Tennessee, June 2018.  (1.07 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.
Ghysels, P., S. Li, A. YarKhan, and J. Dongarra, Initial Integration and Evaluation of SLATE and STRUMPACK,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-11: University of Tennessee, December 2018.  (249.78 KB)
YarKhan, A., G. Ragghianti, J. Dongarra, M. Cawkwell, D. Perez, and A. Voter, Initial Integration and Evaluation of SLATE Parallel BLAS in LATTE,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-07: Innovative Computing Laboratory, University of Tennessee, June 2018.  (366.6 KB)
Haidar, A., H. Jagode, P. Vaccaro, A. YarKhan, S. Tomov, and J. Dongarra, Investigating Power Capping toward Energy-Efficient Scientific Applications,” Concurrency Computation: Practice and Experience, vol. 2018, issue e4485, pp. 1–14, April 2018.  (1.2 MB)
Anzt, H., and J. Dongarra, A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs,” SBAC-PAD, 2018.  (237.68 KB)
Gates, M., A. Charara, J. Kurzak, A. YarKhan, I. Yamazaki, and J. Dongarra, Least Squares Performance Report,” SLATE Working Notes, no. 9, ICL-UT-18-10: Innovative Computing Laboratory, University of Tennessee, December 2018.  (1.76 MB)
Kurzak, J., M. Gates, I. Yamazaki, A. Charara, A. YarKhan, J. Finney, G. Ragghianti, P. Luszczek, and J. Dongarra, Linear Systems Performance Report,” SLATE Working Notes, no. 8, ICL-UT-18-08: Innovative Computing Laboratory, University of Tennessee, September 2018.  (1.64 MB)
Benoit, A., A. Cavelan, Y. Robert, and H. Sun, Multi-Level Checkpointing and Silent Error Detection for Linear Workflows,” Journal of Computational Science, vol. 28, pp. 398–415, September 2018.
Herault, T., Y. Robert, A. Bouteiller, D. Arnold, K. Ferreira, G. Bosilca, and J. Dongarra, Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms,” 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Best Paper Award, Vancouver, BC, Canada, IEEE, May 2018.  (899.3 KB)
Anzt, H., M. Kreutzer, E. Ponce, G. D. Peterson, G. Wellein, and J. Dongarra, Optimization and Performance Evaluation of the IDR Iterative Krylov Solver on GPUs,” The International Journal of High Performance Computing Applications, vol. 32, no. 2, pp. 220–230, March 2018.  (2.08 MB)
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization,” IEEE High Performance Extreme Computing Conference (HPEC’18), Waltham, MA, IEEE, September 2018.  (729.87 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)
Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Luszczek, J. Finney, and J. Dongarra, Parallel Norms Performance Report,” SLATE Working Notes, no. 6, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.  (1.13 MB)
Anzt, H., E. Chow, and J. Dongarra, ParILUT - A New Parallel Threshold ILU,” SIAM Journal on Scientific Computing, vol. 40, issue 4: SIAM, pp. C503–C519, July 2018.  (19.26 MB)
Benoit, A., S. Perarnau, L. Pottier, and Y. Robert, A Performance Model to Execute Workflows on High-Bandwidth Memory Architectures,” The 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, IEEE Computer Society Press, August 2018.  (868.44 KB)
Castain, R., J. Hursey, A. Bouteiller, and D. Solt, PMIx: Process Management for Exascale Environments,” Parallel Computing, vol. 79, pp. 9–29, January 2018.
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)
Aupy, G., and Y. Robert, Scheduling for Fault-Tolerance: An Introduction,” Topics in Parallel and Distributed Computing: Springer International Publishing, pp. 143–170, 2018.
Dongarra, J., M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, and I. Yamazaki, The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale,” SIAM Review, vol. 60, issue 4, pp. 808–865, November 2018.
Jagode, H., A. Danalis, H. Anzt, I. Yamazaki, M. Hoemmen, E. Boman, S. Tomov, and J. Dongarra, Software-Defined Events (SDEs) in MAGMA-Sparse,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-12: University of Tennessee, December 2018.  (481.69 KB)
Anzt, H., I. Yamazaki, M. Hoemmen, E. Boman, and J. Dongarra, Solver Interface & Performance on Cori,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-05: University of Tennessee, June 2018.  (188.05 KB)
Zaitsev, D., S. Tomov, and J. Dongarra, Solving Linear Diophantine Systems on Parallel Architectures,” IEEE Transactions on Parallel and Distributed Systems, October 2018.
Bernholdt, D. E., S. Boehm, G. Bosilca, M. Grentla Venkata, R. E. Grant, T. Naughton, H. P. Pritchard, M. Schulz, and G. R. Vallee, A Survey of MPI Usage in the US Exascale Computing Project,” Concurrency Computation: Practice and Experience, September 2018.  (359.54 KB)
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, vol. 29, issue 8, pp. 1879–1892, August 2018.  (2.88 MB)
Bosilca, G., D. Genet, R. Harrison, T. Herault, M. Mahdi Javanmard, C. Peng, and E. Valeev, Tensor Contraction on Distributed Hybrid Architectures using a Task-Based Runtime System,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-13: University of Tennessee, December 2018.  (326.11 KB)
Haidar, A., S. Tomov, A. Abdelfattah, M. Zounon, and J. Dongarra, Using GPU FP16 Tensor Cores Arithmetic to Accelerate Mixed-Precision Iterative Refinement Solvers and Reduce Energy Consumption,” ISC High Performance (ISC'18), Best Poster, Frankfurt, Germany, June 2018.  (3.01 MB)
Chow, E., H. Anzt, J. Scott, and J. Dongarra, Using Jacobi Iterations and Blocking for Solving Sparse Triangular Systems in Incomplete Factorization Preconditioning,” Journal of Parallel and Distributed Computing, vol. 119, pp. 219–230, November 2018.  (273.53 KB)
Anzt, H., J. Dongarra, G. Flegar, and T. Gruetzmacher, Variable-Size Batched Condition Number Calculation on GPUs,” SBAC-PAD, Lyon, France, September 2018.  (509.3 KB)
Anzt, H., J. Dongarra, G. Flegar, and E. S. Quintana-Ortí, Variable-Size Batched Gauss–Jordan Elimination for Block-Jacobi Preconditioning on Graphics Processors,” Parallel Computing, January 2018.  (1.9 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)
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)

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