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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, 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)

Cao, Q., T. Herault, A. Bouteiller, J. Schuchart, and G. Bosilca, “Evaluating PaRSEC Through Matrix Computations in Scientific Applications,” Asynchronous Many-Task Systems and Applications - Second International Workshop, WAMTA 2024, Knoxville, TN, USA, February 14-16, 2024, Proceedings, vol. 14626: Springer, pp. 22–33, 2024. DOI: 10.1007/978-3-031-61763-8_3

(600.76 KB)

Caron, E., Y. Caniou, A K W. Chang, and Y. Robert, “Budget-aware scheduling algorithms for scientific workflows with stochastic task weights on IaaS Cloud platforms,” Concurrency and Computation: Practice and Experience, vol. 33, no. 17, pp. e6065, 2021. DOI: 10.1002/cpe.6065

(1.99 MB)

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. DOI: 10.1016/j.parco.2018.03.004

(2.56 MB)

Castain, R., J. Hursey, A. Bouteiller, and D. Solt, “PMIx: Process Management for Exascale Environments,” Parallel Computing, vol. 79, pp. 9–29, January 2018. DOI: 10.1016/j.parco.2018.08.002

Castain, R. H., D. Solt, J. Hursey, and A. Bouteiller, “PMIx: Process Management for Exascale Environments,” Proceedings of the 24th European MPI Users' Group Meeting, New York, NY, USA, ACM, pp. 14:1–14:10, 2017. DOI: 10.1145/3127024.3127027

Cayrols, S., J. Li, G. Bosilca, S. Tomov, A. Ayala, and J. Dongarra, “Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs,” 2022 IEEE International Conference on Cluster Computing (CLUSTER), pp. 152-160, September 2022. DOI: 10.1109/CLUSTER51413.2022.00029

Cayrols, S., J. Li, G. Bosilca, S. Tomov, A. Ayala, and J. Dongarra, “Mixed precision and approximate 3D FFTs: Speed for accuracy trade-off with GPU-aware MPI and run-time data compression,” ICL Technical Report, no. ICL-UT-22-04, May 2022.

(706.14 KB)

Charara, A., M. Gates, J. Kurzak, A. YarKhan, and J. Dongarra, “SLATE Developers' Guide,” SLATE Working Notes, no. 11, ICL-UT-19-02: Innovative Computing Laboratory, University of Tennessee, December 2019.

(1.68 MB)

Charara, A., J. Dongarra, M. Gates, J. Kurzak, and A. YarKhan, “SLATE Mixed Precision Performance Report,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-03: University of Tennessee, April 2019.

(1.04 MB)

Tsai, Y. M., T. Cojean, and H. Anzt, “Porting Sparse Linear Algebra to Intel GPUs,” Euro-Par 2021: Parallel Processing Workshops, vol. 13098, Lisbon, Portugal, Springer International Publishing, pp. 57 - 68, June 2022. DOI: 10.1007/978-3-031-06156-1_5

Chen, Z., and J. Dongarra, “Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing,” IEEE Transactions on Computers, vol. 58, issue 11, pp. 1512-1524, November 2009. DOI: 10.1109/TC.2009.42

(1.81 MB)

Cheng, X., A. Soma, E. D'Azevedo, K. Wong, and S. Tomov, Accelerating 2D FFT: Exploit GPU Tensor Cores through Mixed-Precision , Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), ACM Student Research Poster, November 2018.

(740.37 KB)