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Cunha, M., J. Telles, A. YarKhan, and J. Dongarra, Grid Computing applied to the Boundary Element Method,” Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering, vol. 27, no. :104203/9027, Stirlingshire, UK, Civil-Comp Press, 00 2009.
Cuenca, J., D. Giminez, J. González, J. Dongarra, and K. Roche, Automatic Optimisation of Parallel Linear Algebra Routines in Systems with Variable Load,” EuroPar 2002, Paderborn, Germany, August 2002.  (92.59 KB)
Cronk, D., G. Fagg, and S. Moore, Parallel I/O for EQM Applications,” Department of Defense Users' Group Conference Proceedings (to appear),, Biloxi, Mississippi, June 2001.  (81.41 KB)
Cronk, D., B. Ellis, and G. Fagg, Metacomputing: An Evaluation of Emerging Systems,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-00-445, July 2000.  (280.21 KB)
Cronk, D., G. Fagg, S. Emeny, and S. Tucker, Dynamic Process Management for Pipelined Applications,” Proceedings of DoD HPCMP UGC 2005 (to appear), Nashville, TN, IEEE, January 2005.
Coulomb, K., A. Degomme, M. Faverge, and F. Trahay, An open-source tool-chain for performance analysis,” Parallel Tools Workshop, Dresden, Germany, September 2011.  (622.1 KB)
Chow, E., H. Anzt, and J. Dongarra, Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs,” International Supercomputing Conference (ISC 2015), Frankfurt, Germany, July 2015.
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. DOI: 10.1016/j.jpdc.2018.04.017  (273.53 KB)
Choi, J., J. Demmel, I. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, and C. Whaley, ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance,” Computer Physics Communications, vol. 97, issue 1-2, pp. 1-15, August 1996. DOI: 10.1016/0010-4655(96)00017-3
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)
Chen, Z., and J. Dongarra, Numerically Stable Real-Number Codes Based on Random Matrices,” University of Tennessee Computer Science Department Technical Report, vol. –04-526, October 2004.  (91.66 KB)
Chen, Z., and J. Dongarra, Algorithm-Based Checkpoint-Free Fault Tolerance for Parallel Matrix Computations on Volatile Resources,” IPDPS 2006, 20th IEEE International Parallel and Distributed Processing Symposium, Rhodes Island, Greece, January 2006.  (266.54 KB)
Chen, Z., and J. Dongarra, Condition Numbers of Gaussian Random Matrices,” SIAM Journal on Matrix Analysis and Applications (to appear), January 2005.  (186.46 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters (LAPACK Working Note 160),” University of Tennessee Computer Science Technical Report, UT-CS-03-499, January 2003.  (343.44 KB)
Chen, Z., G. Fagg, E. Gabriel, J. Langou, T. Angskun, G. Bosilca, and J. Dongarra, Fault Tolerant High Performance Computing by a Coding Approach,” Proceedings of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (to appear), Chicago, Illinois, January 2005.  (209.37 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, LAPACK for Clusters Project: An Example of Self Adapting Numerical Software,” Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS 04'), vol. 9, Big Island, Hawaii, pp. 90282, January 2004.  (80.97 KB)
Chen, Z., and J. Dongarra, Numerically Stable Real Number Codes Based on Random Matrices,” The International Conference on Computational Science, Atlanta, GA, LNCS 3514, Springer-Verlag, January 2005.  (166.2 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters,” Parallel Computing, vol. 29, no. 11-12, pp. 1723-1743, November 2003.  (343.44 KB)
Chen, Z., and J. Dongarra, Condition Numbers of Gaussian Random Matrices,” University of Tennessee Computer Science Department Technical Report, vol. –04-539, 00 2005.  (186.46 KB)
Chen, Z., and J. Dongarra, Algorithm-Based Checkpoint-Free Fault Tolerance for Parallel Matrix Computations on Volatile Resources,” University of Tennessee Computer Science Department Technical Report, vol. –05-561, November 2005.  (266.54 KB)
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)
Chen, Z., M. Yang, G. Francia, III, and J. Dongarra, Self Adapting Application Level Fault Tolerance for Parallel and Distributed Computing,” Proceedings of Workshop on Self Adapting Application Level Fault Tolerance for Parallel and Distributed Computing at IPDPS, pp. 1-8, March 2007.  (162.47 KB)
Chen, Z., and J. Dongarra, Algorithm-Based Fault Tolerance for Fail-Stop Failures,” IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 12, January 2008.  (340.49 KB)
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)
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)
Chaarawi, M., E. Gabriel, R. Keller, R. L. Graham, G. Bosilca, and J. Dongarra, OMPIO: A Modular Software Architecture for MPI I/O,” 18th EuroMPI, Santorini, Greece, Springer, pp. 81-89, September 2011.
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)
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
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
Casanova, H., M. G. Thomason, and J. Dongarra, Stochastic Performance Prediction for Iterative Algorithms in Distributed Environments,” Journal of Parallel and Distributed Computing, vol. 98, no. 1, pp. 68-91, October 2002.  (266.82 KB)
Casanova, H., S. Matsuoka, and J. Dongarra, Network-Enabled Server Systems: Deploying Scientific Simulations on the Grid,” 2001 High Performance Computing Symposium (HPC'01), part of the Advance Simulation Technologies Conference, Seattle, Washington, April 2001.  (175.23 KB)
Casanova, H., M H. Kim, J. Plank, and J. Dongarra, Adaptive Scheduling for Task Farming with Grid Middleware,” International Journal of Supercomputer Applications and High-Performance Computing, vol. 13, no. 3, pp. 231-240, October 2002.  (461.08 KB)
Casanova, H., T. Bartol, F. Berman, A. Birnbaum, J. Dongarra, M. Ellisman, M. Faerman, E. Gockay, M. Miller, G. Obertelli, et al., The Virtual Instrument: Support for Grid-enabled Scientific Simulations,” International Journal of High Performance Computing Applications, vol. 18, no. 1, pp. 3-17, January 2004.  (282.16 KB)
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)
Casanova, H., T. Bartol, F. Berman, A. Birnbaum, J. Dongarra, M. Ellisman, M. Faerman, E. Gockay, M. Miller, G. Obertelli, et al., The Virtual Instrument: Support for Grid-enabled Scientific Simulations,” Journal of Parallel and Distributed Computing (submitted), October 2002.  (282.16 KB)
Casanova, H., J. Plank, M. Beck, and J. Dongarra, Deploying Fault-tolerance and Task Migration with NetSolve,” Future Generation Computer Systems, vol. 15, no. 5-6: Elsevier, pp. 745-755, October 1999.  (236 KB)
Casanova, H., M H. Kim, J. Plank, and J. Dongarra, Stochastic Performance Prediction for Iterative Algorithms in Distributed Environments,” Journal of Parallel and Distributed Computing, vol. 98, no. 1, pp. 68-91, January 1999.  (257.5 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)
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, C., J. Dongarra, P. Du, M. Gates, P. Luszczek, and S. Tomov, clMAGMA: High Performance Dense Linear Algebra with OpenCL ,” International Workshop on OpenCL, Bristol University, England, May 2014.  (460.91 KB)
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, 2022. DOI: 10.1109/TPDS.2021.3131657  (3.19 MB)
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)
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)
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)
Cao, C., J. Dongarra, P. Du, M. Gates, P. Luszczek, and S. Tomov, clMAGMA: High Performance Dense Linear Algebra with OpenCL,” University of Tennessee Technical Report (Lawn 275), no. UT-CS-13-706: University of Tennessee, March 2013.  (526.6 KB)
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)
Cao, Q., R. Alomairy, Y. Pei, G. Bosilca, H. Ltaief, D. Keyes, and J. Dongarra, A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022.  (1.03 MB)
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)
Canon, L-C., A K W. Chang, Y. Robert, and F. Vivien, Scheduling Independent Stochastic Tasks under Deadline and Budget Constraints,” International Journal of High Performance Computing Applications, vol. 34, issue 2, pp. 246-264, June 2019. DOI: 10.1177/1094342019852135  (427.92 KB)
Canning, A., J. Dongarra, J. Langou, O. Marques, S. Tomov, C. Voemel, and L-W. Wang, Performance evaluation of eigensolvers in nano-structure computations,” IEEE/ACM Proceedings of HPCNano SC06 (to appear), January 2006.  (120.61 KB)

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