Publications

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2022
Abdulah, S., Q. Cao, Y. Pei, G. Bosilca, J. Dongarra, M. G. Genton, D. E. Keyes, H. Ltaief, and Y. Sun, Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 4, pp. 964 - 976, April 2022. DOI: 10.1109/TPDS.2021.3084071
Bosilca, G., A. Bouteiller, T. Herault, V. Le Fèvre, Y. Robert, and J. Dongarra, Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms,” International Journal of Networking and Computing, vol. 12, issue 1, pp. 26 - 46, January 2022. DOI: 10.15803/ijnc.12.1_26
Cao, Q., G. Bosilca, N. Losada, W. Wu, D. Zhong, and J. Dongarra, Evaluating Data Redistribution in PaRSEC,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 8, pp. 1856-1872, August 2022. DOI: 10.1109/TPDS.2021.3131657  (3.19 MB)
Schuchart, J., P. Nookala, M. Mahdi Javanmard, T. Herault, E. F. Valeev, G. Bosilca, and R. J. Harrison, Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment,” 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, IEEE, July 2022. DOI: 10.1109/IPDPS53621.2022.00086
Schuchart, J., P. Nookala, T. Herault, E. F. Valeev, and G. Bosilca, Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG,” 2022 IEEE International Conference on Cluster Computing (CLUSTER), Heidelberg, Germany, IEEE, September 2022. DOI: 10.1109/CLUSTER51413.2022.00026
Cao, Q., S. Abdulah, R. Alomairy, Y. Pei, P. Nag, G. Bosilca, J. Dongarra, M. G. Genton, D. Keyes, H. Ltaief, et al., Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications,” 2022 International Conference for High Performance Computing, Networking, Storage and Analysis (SC22), Dallas, TX, IEEE Press, November 2022.
2021
Schuchart, J., P. Samfass, C. Niethammer, J. Gracia, and G. Bosilca, Callback-based completion notification using MPI Continuations,” Parallel Computing, vol. 21238566, issue 0225, pp. 102793, May Jan. DOI: 10.1016/j.parco.2021.102793
Herault, T., Y. Robert, G. Bosilca, R. Harrison, C. Lewis, E. Valeev, and J. Dongarra, Distributed-Memory Multi-GPU Block-Sparse Tensor Contraction for Electronic Structure,” 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, May 2021.
Bosilca, G., T. Herault, and J. Dongarra, DTE: PaRSEC Enabled Libraries and Applications : 2021 Exascale Computing Project Annual Meeting, April 2021.  (3.24 MB)
Cao, Q., Y. Pei, K. Akbudak, G. Bosilca, H. Ltaief, D. Keyes, and J. Dongarra, Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems,” 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, May 2021.  (1.08 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. DOI: 10.1109/IPDPSW50202.2020.00127  (1.33 MB)
Bosilca, G., T. Herault, and J. Dongarra, DTE: PaRSEC Enabled Libraries and Applications (Poster) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (979.27 KB)
Bosilca, G., T. Herault, and J. Dongarra, DTE: PaRSEC Systems and Interfaces (Poster) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (840.54 KB)
Cao, Q., Y. Pei, K. Akbudak, A. Mikhalev, G. Bosilca, H. Ltaief, D. Keyes, and J. Dongarra, Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications,” Platform for Advanced Scientific Computing Conference (PASC20), Geneva, Switzerland, ACM, June 2020. DOI: 10.1145/3394277.3401846  (2.71 MB)
Cao, Q., G. Bosilca, W. Wu, D. Zhong, A. Bouteiller, and J. Dongarra, Flexible Data Redistribution in a Task-Based Runtime System,” IEEE International Conference on Cluster Computing (Cluster 2020), Kobe, Japan, IEEE, September 2020. DOI: 10.1109/CLUSTER49012.2020.00032  (354.8 KB)
Slaughter, E., W. Wu, Y. Fu, L. Brandenburg, N. Garcia, W. Kautz, E. Marx, K. S. Morris, Q. Cao, G. Bosilca, et al., 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)
2019
Pei, Y., G. Bosilca, I. Yamazaki, A. Ida, and J. Dongarra, Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization,” PAW-ATM Workshop at SC19, Denver, CO, ACM, November 2019.  (4.51 MB)
Herault, T., Y. Robert, G. Bosilca, and J. Dongarra, Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC,” ScalA'19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, IEEE, November 2019.  (260.69 KB)
Danalis, A., H. Jagode, and J. Dongarra, PAPI's new Software-Defined Events for in-depth Performance Analysis , Dresden, Germany, 13th Parallel Tools Workshop, September 2019.  (3.14 MB)
Cao, Q., Y. Pei, T. Herault, K. Akbudak, A. Mikhalev, G. Bosilca, H. Ltaief, D. Keyes, and J. Dongarra, Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools,” Workshop on Programming and Performance Visualization Tools (ProTools 19) at SC19, Denver, CO, ACM, November 2019.  (429.55 KB)
Danalis, A., H. Jagode, T. Herault, P. Luszczek, and J. Dongarra, Software-Defined Events through PAPI,” 2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, IEEE, May 2019. DOI: 10.1109/IPDPSW.2019.00069  (446.41 KB)
2018
Jagode, H., A. Danalis, and J. Dongarra, Accelerating NWChem Coupled Cluster through dataflow-based Execution,” The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 540--551, July 2018. DOI: 10.1177/1094342016672543  (1.68 MB)
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)
Bosilca, G., A. Bouteiller, T. Herault, V. Le Fèvre, Y. Robert, and J. Dongarra, Distributed Termination Detection for HPC Task-Based Environments,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-14: University of Tennessee, June 2018.
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. DOI: 10.1002/cpe.4490  (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. DOI: 10.1177/1094342017711505  (1.04 MB)
Jagode, H., A. Danalis, and J. Dongarra, PAPI's New Software-Defined Events for In-Depth Performance Analysis , Lyon, France, CCDSC 2018: Workshop on Clusters, Clouds, and Data for Scientific Computing, September 2018.
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)
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. DOI: 10.1177/1094342016672543  (4.07 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. DOI: 10.1145/3148226.3148233  (1.15 MB)
2015
Jagode, H., A. Danalis, G. Bosilca, and J. Dongarra, Accelerating NWChem Coupled Cluster through dataflow-based Execution,” 11th International Conference on Parallel Processing and Applied Mathematics (PPAM 2015), Krakow, Poland, Springer International Publishing, September 2015.  (452.82 KB)
Cao, C., G. Bosilca, T. Herault, and J. Dongarra, Design for a Soft Error Resilient Dynamic Task-based Runtime,” 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.  (2.31 MB)
Wu, W., A. Bouteiller, G. Bosilca, M. Faverge, and J. Dongarra, Hierarchical DAG scheduling for Hybrid Distributed Systems,” 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.  (1.11 MB)
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, Mixing LU-QR Factorization Algorithms to Design High-Performance Dense Linear Algebra Solvers,” Journal of Parallel and Distributed Computing, vol. 85, pp. 32-46, November 2015. DOI: doi:10.1016/j.jpdc.2015.06.007  (5.06 MB)
Danalis, A., H. Jagode, G. Bosilca, and J. Dongarra, PaRSEC in Practice: Optimizing a Legacy Chemistry Application through Distributed Task-Based Execution,” 2015 IEEE International Conference on Cluster Computing, Chicago, IL, IEEE, September 2015.  (1.77 MB)
Haugen, B., S. Richmond, J. Kurzak, C. A. Steed, and J. Dongarra, Visualizing Execution Traces with Task Dependencies,” 2nd Workshop on Visual Performance Analysis (VPA '15), Austin, TX, ACM, November 2015.  (927.5 KB)
2014
Cao, C., T. Herault, G. Bosilca, and J. Dongarra, Design for a Soft Error Resilient Dynamic Task-based Runtime,” ICL Technical Report, no. ICL-UT-14-04: University of Tennessee, November 2014.  (2.61 MB)
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, Designing LU-QR Hybrid Solvers for Performance and Stability,” IPDPS 2014, Phoenix, AZ, IEEE, May 2014. DOI: 10.1109/IPDPS.2014.108  (4.2 MB)
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)
McCraw, H., J. Ralph, A. Danalis, and J. Dongarra, Power Monitoring with PAPI for Extreme Scale Architectures and Dataflow-based Programming Models,” 2014 IEEE International Conference on Cluster Computing, no. ICL-UT-14-04, Madrid, Spain, IEEE, September 2014. DOI: 10.1109/CLUSTER.2014.6968672  (3.45 MB)
Danalis, A., G. Bosilca, A. Bouteiller, T. Herault, and J. Dongarra, PTG: An Abstraction for Unhindered Parallelism,” International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC), New Orleans, LA, IEEE Press, November 2014.  (480.05 KB)
Lacoste, X., M. Faverge, P. Ramet, S. Thibault, and G. Bosilca, Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes,” 23rd International Heterogeneity in Computing Workshop, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (807.33 KB)
Boillot, L., G. Bosilca, E. Agullo, and H. Calandra, Task-Based Programming for Seismic Imaging: Preliminary Results,” 2014 IEEE International Conference on High Performance Computing and Communications (HPCC), Paris, France, IEEE, August 2014.  (625.86 KB)
McCraw, H., A. Danalis, G. Bosilca, J. Dongarra, K. Kowalski, and T. Windus, Utilizing Dataflow-based Execution for Coupled Cluster Methods,” 2014 IEEE International Conference on Cluster Computing, no. ICL-UT-14-02, Madrid, Spain, IEEE, September 2014.  (260.23 KB)
2013
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Luszczek, and J. Dongarra, Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach,” Scalable Computing and Communications: Theory and Practice: John Wiley & Sons, pp. 699-735, March 2013.  (1.01 MB)
Aupy, G., M. Faverge, Y. Robert, J. Kurzak, P. Luszczek, and J. Dongarra, Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,” Lawn 277, no. UT-CS-13-709, May 2013.  (298.63 KB)
Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, T. Herault, and J. Dongarra, PaRSEC: Exploiting Heterogeneity to Enhance Scalability,” IEEE Computing in Science and Engineering, vol. 15, issue 6, pp. 36-45, November 2013. DOI: 10.1109/MCSE.2013.98  (2.16 MB)

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