Publications

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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)
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Bouteiller, A., T. Ropars, G. Bosilca, C. Morin, and J. Dongarra, Reasons for a Pessimistic or Optimistic Message Logging Protocol in MPI Uncoordinated Failure Recovery,” CLUSTER '09, New Orleans, IEEE, August 2009. DOI: 10.1109/CLUSTR.2009.5289157  (191.36 KB)
Langou, J., Z. Chen, G. Bosilca, and J. Dongarra, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” SIAM SISC (to appear), May 2007.  (241.36 KB)
Bosilca, G., Z. Chen, J. Dongarra, and J. Langou, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” University of Tennessee Computer Science Department Technical Report, UT-CS-04-538, 00 2005.  (241.36 KB)
Bosilca, G., Z. Chen, J. Dongarra, and J. Langou, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” ICL Technical Report, no. ICL-UT-04-04, January 2004.  (241.36 KB)
Bouteiller, A., G. Bosilca, and J. Dongarra, Redesigning the Message Logging Model for High Performance,” International Supercomputer Conference (ISC 2008), Dresden, Germany, January 2008.  (622.1 KB)
Bouteiller, A., G. Bosilca, and J. Dongarra, Redesigning the Message Logging Model for High Performance,” Concurrency and Computation: Practice and Experience (online version), June 2010.  (438.42 KB)
Angskun, T., G. Bosilca, G. Fagg, J. Pjesivac–Grbovic, and J. Dongarra, Reliability Analysis of Self-Healing Network using Discrete-Event Simulation,” Proceedings of Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07): IEEE Computer Society, pp. 437-444, May 2007.
Bouteiller, A., G. Bosilca, and J. Dongarra, Retrospect: Deterministic Relay of MPI Applications for Interactive Distributed Debugging,” Accepted for Euro PVM/MPI 2007: Springer, September 2007.
Zhong, D., A. Bouteiller, X. Luo, and G. Bosilca, Runtime Level Failure Detection and Propagation in HPC Systems,” European MPI Users' Group Meeting (EuroMPI '19), Zürich, Switzerland, ACM, September 2019. DOI: 10.1145/3343211.3343225  (1.11 MB)
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Bosilca, G., T. Herault, A.. Rezmerita, and J. Dongarra, On Scalability for MPI Runtime Systems,” University of Tennessee Computer Science Technical Report, no. ICL-UT-11-05, Knoxville, TN, May 2011.  (898.76 KB)
Bosilca, G., T. Herault, A.. Rezmerita, and J. Dongarra, On Scalability for MPI Runtime Systems,” International Conference on Cluster Computing (CLUSTER), Austin, TX, USA, IEEEE, pp. 187-195, September 2011.  (898.76 KB)
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, J. Kurzak, P. Luszczek, S. Tomov, and J. Dongarra, Scalable Dense Linear Algebra on Heterogeneous Hardware,” HPC: Transition Towards Exascale Processing, in the series Advances in Parallel Computing, 2013.  (760.32 KB)
Fagg, G., T. Angskun, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Scalable Fault Tolerant MPI: Extending the Recovery Algorithm,” Proceedings of 12th European Parallel Virtual Machine and Message Passing Interface Conference - Euro PVM/MPI, vol. 3666, Sorrento (Naples) , Italy, Springer-Verlag Berlin, pp. 67, September 2005.  (144.86 KB)
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Scalable Fault Tolerant Protocol for Parallel Runtime Environments,” 2006 Euro PVM/MPI, no. ICL-UT-06-12, Bonn, Germany, 00 2006.  (149.07 KB)
Bosilca, G., T. Herault, P. Lemariner, J. Dongarra, and A.. Rezmerita, Scalable Runtime for MPI: Efficiently Building the Communication Infrastructure,” Proceedings of Recent Advances in the Message Passing Interface - 18th European MPI Users' Group Meeting, EuroMPI 2011, vol. 6960, Santorini, Greece, Springer, pp. 342-344, September 2011.  (115.75 KB)
Buttari, A., P. Luszczek, J. Kurzak, J. Dongarra, and G. Bosilca, SCOP3: A Rough Guide to Scientific Computing On the PlayStation 3,” University of Tennessee Computer Science Dept. Technical Report, UT-CS-07-595, 00 2007.  (1.74 MB)
Bosilca, G., Z. Chen, J. Dongarra, V. Eijkhout, G. Fagg, E. Fuentes, J. Langou, P. Luszczek, J. Pjesivac–Grbovic, K. Seymour, et al., Self Adapting Numerical Software SANS Effort,” IBM Journal of Research and Development, vol. 50, no. 2/3, pp. 223-238, January 2006.  (357.53 KB)
Angskun, T., G. Bosilca, and J. Dongarra, Self-Healing in Binomial Graph Networks,” 2nd International Workshop On Reliability in Decentralized Distributed Systems (RDDS 2007), Vilamoura, Algarve, Portugal, November 2007.  (322.39 KB)
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Self-Healing Network for Scalable Fault Tolerant Runtime Environments,” DAPSYS 2006, 6th Austrian-Hungarian Workshop on Distributed and Parallel Systems, Innsbruck, Austria, January 2006.  (162.83 KB)
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Self-Healing Network for Scalable Fault-Tolerant Runtime Environments,” Future Generation Computer Systems, vol. 26, no. 3, pp. 479-485, March 2010.  (1.54 MB)
Bernholdt, D. E., S. Boehm, G. Bosilca, M G. 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. DOI: 10.1002/cpe.4851  (359.54 KB)
Bouteiller, A., G. Bosilca, and M G. Venkata, Surviving Errors with OpenSHMEM,” OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments, Baltimore, MD, USA, Springer International Publishing, pp. 66–81, 2016.
Hori, A., Y. Tsujita, A. Shimada, K. Yoshinaga, N. Mitaro, G. Fukazawa, M. Sato, G. Bosilca, A. Bouteiller, and T. Herault, System Software for Many-Core and Multi-core Architecture,” Advanced Software Technologies for Post-Peta Scale Computing: The Japanese Post-Peta CREST Research Project, Singapore, Springer Singapore, pp. 59–75, 2019. DOI: 10.1007/978-981-13-1924-2_4
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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)
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)
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Shamis, P.., M G. Venkata, M. G. Lopez, M.. B. Baker, O.. Hernandez, Y.. Itigin, M.. Dubman, G.. Shainer, R.. L. Graham, L.. Liss, et al., UCX: An Open Source Framework for HPC Network APIs and Beyond,” 2015 IEEE 23rd Annual Symposium on High-Performance Interconnects, Santa Clara, CA, USA, IEEE, pp. 40-43, 2015. DOI: 10.1109/HOTI.2015.13
Bosilca, G., A. Bouteiller, T. Herault, P. Lemariner, N. Ohm Saengpatsa, S. Tomov, and J. Dongarra, A Unified HPC Environment for Hybrid Manycore/GPU Distributed Systems,” IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
Bosilca, G., A. Bouteiller, E. Brunet, F. Cappello, J. Dongarra, A. Guermouche, T. Herault, Y. Robert, F. Vivien, and D. Zaidouni, Unified Model for Assessing Checkpointing Protocols at Extreme-Scale,” Concurrency and Computation: Practice and Experience, November 2013. DOI: 10.1002/cpe.3173  (894.61 KB)
Bosilca, G., A. Bouteiller, E. Brunet, F. Cappello, J. Dongarra, A. Guermouche, T. Herault, Y. Robert, F. Vivien, and D. Zaidouni, Unified Model for Assessing Checkpointing Protocols at Extreme-Scale,” University of Tennessee Computer Science Technical Report (also LAWN 269), no. UT-CS-12-697, June 2012.  (2.76 MB)
Eberius, D., T. Patinyasakdikul, and G. Bosilca, Using Software-Based Performance Counters to Expose Low-Level Open MPI Performance Information,” EuroMPI, Chicago, IL, ACM, September 2017. DOI: 10.1145/3127024.3127039  (745.58 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)

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