Ignacio Laguna
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ARCHER: effectively spotting data races in large OpenMP applications
S Atzeni, G Gopalakrishnan, Z Rakamaric, DH Ahn, I Laguna, M Schulz, ...
2016 IEEE international parallel and distributed processing symposium (IPDPS …, 2016
A large-scale study of MPI usage in open-source HPC applications
I Laguna, R Marshall, K Mohror, M Ruefenacht, A Skjellum, N Sultana
Proceedings of the International Conference for High Performance Computing …, 2019
Ipas: Intelligent protection against silent output corruption in scientific applications
I Laguna, M Schulz, DF Richards, J Calhoun, L Olson
Proceedings of the 2016 International Symposium on Code Generation and …, 2016
Scalable temporal order analysis for large scale debugging
DH Ahn, BR De Supinski, I Laguna, GL Lee, B Liblit, BP Miller, M Schulz
Proceedings of the Conference on High Performance Computing Networking …, 2009
AutomaDeD: Automata-based debugging for dissimilar parallel tasks
G Bronevetsky, I Laguna, S Bagchi, BR de Supinski, DH Ahn, M Schulz
2010 IEEE/IFIP International Conference on Dependable Systems & Networks …, 2010
Automatic fault characterization via abnormality-enhanced classification
G Bronevetsky, I Laguna, BR de Supinski, S Bagchi
IEEE/IFIP International Conference on Dependable Systems and Networks (DSN …, 2012
Evaluating and extending user-level fault tolerance in MPI applications
I Laguna, DF Richards, T Gamblin, M Schulz, BR de Supinski, K Mohror, ...
The International Journal of High Performance Computing Applications 30 (3 …, 2016
Evaluating user-level fault tolerance for MPI applications
I Laguna, DF Richards, T Gamblin, M Schulz, BR de Supinski
Proceedings of the 21st European MPI Users' Group Meeting, 57-62, 2014
Large scale debugging of parallel tasks with automaded
I Laguna, T Gamblin, BR de Supinski, S Bagchi, G Bronevetsky, DH Anh, ...
Proceedings of 2011 International Conference for High Performance Computing …, 2011
Accurate application progress analysis for large-scale parallel debugging
S Mitra, I Laguna, DH Ahn, S Bagchi, M Schulz, T Gamblin
ACM SIGPLAN Notices 49 (6), 193-203, 2014
Refine: Realistic fault injection via compiler-based instrumentation for accuracy, portability and speed
G Georgakoudis, I Laguna, DS Nikolopoulos, M Schulz
Proceedings of the International Conference for High Performance Computing …, 2017
Versioned distributed arrays for resilience in scientific applications: Global view resilience
A Chien, P Balaji, P Beckman, N Dun, A Fang, H Fujita, K Iskra, ...
Procedia Computer Science 51, 29-38, 2015
Gpumixer: Performance-driven floating-point tuning for gpu scientific applications
I Laguna, PC Wood, R Singh, S Bagchi
High Performance Computing: 34th International Conference, ISC High …, 2019
Debugging high-performance computing applications at massive scales
I Laguna, DH Ahn, BR De Supinski, T Gamblin, GL Lee, M Schulz, ...
Communications of the ACM 58 (9), 72-81, 2015
AMPT-GA: automatic mixed precision floating point tuning for GPU applications
PV Kotipalli, R Singh, P Wood, I Laguna, S Bagchi
Proceedings of the ACM International Conference on Supercomputing, 160-170, 2019
Apollo: Reusable models for fast, dynamic tuning of input-dependent code
D Beckingsale, O Pearce, I Laguna, T Gamblin
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Report of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC
G Gopalakrishnan, PD Hovland, C Iancu, S Krishnamoorthy, I Laguna, ...
arXiv preprint arXiv:1705.07478, 2017
Distributed diagnosis of failures in a three tier e-commerce system
G Khanna, I Laguna, FA Arshad, S Bagchi
2007 26th IEEE International Symposium on Reliable Distributed Systems (SRDS …, 2007
Probabilistic diagnosis of performance faults in large-scale parallel applications
I Laguna, DH Ahn, BR De Supinski, S Bagchi, T Gamblin
Proceedings of the 21st international conference on parallel architectures …, 2012
EReinit: Scalable and efficient fault‐tolerance for bulk‐synchronous MPI applications
S Chakraborty, I Laguna, M Emani, K Mohror, DK Panda, M Schulz, ...
Concurrency and Computation: Practice and Experience 32 (3), e4863, 2020
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