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ORCIDIgnacio Laguna
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- affiliation: Lawrence Livermore National Laboratory, CA, USA
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2020 – today
- 2024
[j15]Dolores Miao
, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González:
An automated OpenMP mutation testing framework for performance optimization. Parallel Comput. 121: 103097 (2024)- [c71]Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan:
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. CCGrid 2024: 39-46 - [c70]Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan:
Discovery of Floating-Point Differences Between NVIDIA and AMD GPUs. CCGrid 2024: 663-666 - [c69]Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen:
Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. CGO 2024: 106-118 - [c68]Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs. CLUSTER 2024: 27-38 - [c67]Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li:
Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. CLUSTER 2024: 166-178 - [c66]Anh Tran, Ignacio Laguna, Ganesh Gopalakrishnan:
FPBOXer: Efficient Input-Generation for Targeting Floating-Point Exceptions in GPU Programs. HPDC 2024: 83-93 - [c65]Dolores Miao, Ignacio Laguna, Cindy Rubio-González:
Input Range Generation for Compiler-Induced Numerical Inconsistencies. ICS 2024: 201-212 - [c64]Dolores Miao, Ignacio Laguna, Giorgis Georgakoudis, Konstantinos Parasyris, Cindy Rubio-González:
MUPPET: Optimizing Performance in OpenMP via Mutation Testing. PMAM@PPoPP 2024: 22-31 - [i12]Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan:
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. CoRR abs/2403.00232 (2024) - [i11]Anwar Hossain Zahid, Ignacio Laguna, Wei Le:
Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs. CoRR abs/2410.09172 (2024) - [i10]Ignacio Laguna, Patrick J. Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, Cindy Rubio-González:
Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation. CoRR abs/2410.09191 (2024) - 2023
- [j14]Harshitha Menon, James Diffenderfer, Giorgis Georgakoudis, Ignacio Laguna, Michael O. Lam, Daniel Osei-Kuffuor, Konstantinos Parasyris, Jackson Vanover:
Approximate High-Performance Computing: A Fast and Energy-Efficient Computing Paradigm in the Post-Moore Era. IT Prof. 25(2): 7-15 (2023) - [j13]Ignacio Laguna, Anh Tran, Ganesh Gopalakrishnan:
Finding inputs that trigger floating-point exceptions in heterogeneous computing via Bayesian optimization. Parallel Comput. 117: 103042 (2023) - [c63]Xinyi Li, Ignacio Laguna, Bo Fang, Katarzyna Swirydowicz, Ang Li, Ganesh Gopalakrishnan:
Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs. HPDC 2023: 59-71 - [c62]Konstantinos Parasyris, Giorgis Georgakoudis, Esteban Rangel, Ignacio Laguna, Johannes Doerfert:
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. SC 2023: 28:1-28:14 - [c61]Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon:
Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. ISC Workshops 2023: 221-233 - [c60]Dolores Miao, Ignacio Laguna, Cindy Rubio-González:
Expression Isolation of Compiler-Induced Numerical Inconsistencies in Heterogeneous Code. ISC 2023: 381-401 - [i9]Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li:
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR abs/2311.05782 (2023) - 2022
- [j12]William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi:
Giving Research Software Engineers a Larger Stage Through the Better Scientific Software Fellowship. Comput. Sci. Eng. 24(5): 6-13 (2022) - [c59]Bo Fang, Siva Kumar Sastry Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin J. Barker, Ang Li:
Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications. FTXS@SC 2022: 47-52 - [c58]Ignacio Laguna, Tanmay Tirpankar, Xinyi Li, Ganesh Gopalakrishnan:
FPChecker: Floating-Point Exception Detection Tool and Benchmark for Parallel and Distributed HPC. IISWC 2022: 39-50 - [c57]Konstantinos Parasyris, Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland:
Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. P3HPC@SC 2022: 100-110 - [c56]Ignacio Laguna, Xinyi Li, Ganesh Gopalakrishnan:
BinFPE: accurate floating-point exception detection for GPU applications. SOAP@PLDI 2022: 1-8 - [c55]Ignacio Laguna, Ganesh Gopalakrishnan:
Finding Inputs that Trigger Floating-Point Exceptions in GPUs via Bayesian Optimization. SC 2022: 33:1-33:14 - [c54]Konstantinos Parasyris, James Diffenderfer, Harshitha Menon, Ignacio Laguna, Jackson Vanover, Ryan Vogt, Daniel Osei-Kuffuor:
Approximate Computing Through the Lens of Uncertainty Quantification. SC 2022: 67:1-67:14 - [c53]Dorra Ben Khalifa, Xinyi Li, Ignacio Laguna, Matthieu Martel, Ganesh Gopalakrishnan:
Toward Increasing Trust in Exascale Simulations. XLOOP@SC 2022: 26-31 - [e6]Ignacio Laguna, Cindy Rubio-González:
Sixth IEEE/ACM International Workshop on Software Correctness for HPC Applications, Correctness@SC 2022, Dallas, TX, USA, November 13-18, 2022. IEEE 2022, ISBN 978-1-6654-6335-5 [contents] - [i8]William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi:
Giving RSEs a Larger Stage through the Better Scientific Software Fellowship. CoRR abs/2211.07436 (2022) - 2021
- [j11]Dong H. Ahn, Allison H. Baker, Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dorit M. Hammerling, Ignacio Laguna, Gregory L. Lee, Daniel J. Milroy, Mariana Vertenstein:
Keeping science on keel when software moves. Commun. ACM 64(2): 66-74 (2021) - [j10]Nawrin Sultana, Martin Rüfenacht, Anthony Skjellum, Purushotham V. Bangalore, Ignacio Laguna, Kathryn M. Mohror:
Understanding the use of message passing interface in exascale proxy applications. Concurr. Comput. Pract. Exp. 33(14) (2021) - [j9]Luanzheng Guo, Dong Li, Ignacio Laguna:
PARIS: Predicting application resilience using machine learning. J. Parallel Distributed Comput. 152: 111-124 (2021) - [j8]Shinobu Miwa, Ignacio Laguna, Martin Schulz:
PredCom: A Predictive Approach to Collecting Approximated Communication Traces. IEEE Trans. Parallel Distributed Syst. 32(1): 45-58 (2021) - [c52]Konstantinos Parasyris, Giorgis Georgakoudis, Leonardo Bautista-Gomez, Ignacio Laguna:
Co-Designing Multi-Level Checkpoint Restart for MPI Applications. CCGRID 2021: 103-112 - [c51]Ganesh Gopalakrishnan, Ignacio Laguna, Ang Li, Pavel Panchekha, Cindy Rubio-González, Zachary Tatlock:
Guarding Numerics Amidst Rising Heterogeneity. Correctness@SC 2021: 9-15 - [c50]Amir Taherin, Tirthak Patel, Giorgis Georgakoudis, Ignacio Laguna, Devesh Tiwari:
Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes. DSN 2021: 305-313 - [c49]Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon, James Diffenderfer, Ignacio Laguna, Daniel Osei-Kuffuor, Markus Schordan:
HPAC: evaluating approximate computing techniques on HPC OpenMP applications. SC 2021: 86 - [e5]Ignacio Laguna, Cindy Rubio-González:
5th IEEE/ACM International Workshop on Software Correctness for HPC Applications, Correctness@SC 2021, St. Louis, MO, USA, November 19, 2021. IEEE 2021, ISBN 978-1-6654-2061-7 [contents] - [i7]Hal Finkel, Ignacio Laguna:
Report of the Workshop on Program Synthesis for Scientific Computing. CoRR abs/2102.01687 (2021) - [i6]Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li:
MATCH: An MPI Fault Tolerance Benchmark Suite. CoRR abs/2102.06894 (2021) - [i5]Giorgis Georgakoudis, Luanzheng Guo, Ignacio Laguna:
Reinit++: Evaluating the Performance of Global-Restart Recovery Methods For MPI Fault Tolerance. CoRR abs/2102.06896 (2021) - 2020
- [j7]Sourav Chakraborty, Ignacio Laguna, Murali Emani, Kathryn M. Mohror, Dhabaleswar K. Panda, Martin Schulz, Hari Subramoni:
EReinit: Scalable and efficient fault-tolerance for bulk-synchronous MPI applications. Concurr. Comput. Pract. Exp. 32(3) (2020) - [c48]Konstantinos Parasyris, Ignacio Laguna, Harshitha Menon, Markus Schordan, Daniel Osei-Kuffuor, Giorgis Georgakoudis, Michael O. Lam, Tristan Vanderbruggen:
HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis. IISWC 2020: 25-36 - [c47]Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li:
MATCH: An MPI Fault Tolerance Benchmark Suite. IISWC 2020: 60-71 - [c46]Ignacio Laguna:
Varity: Quantifying Floating-Point Variations in HPC Systems Through Randomized Testing. IPDPS 2020: 622-633 - [c45]Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland:
FAROS: A Framework to Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis. IWOMP 2020: 3-17 - [c44]Daniel DeFreez, Antara Bhowmick, Ignacio Laguna, Cindy Rubio-González:
Detecting and reproducing error-code propagation bugs in MPI implementations. PPoPP 2020: 187-201 - [c43]Samuel Thayer, Ganesh Gopalakrishnan, Ian Briggs, Michael Bentley, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee:
ArcherGear: data race equivalencing for expeditious HPC debugging. PPoPP 2020: 425-426 - [c42]Hui Guo, Ignacio Laguna, Cindy Rubio-González:
pLiner: isolating lines of floating-point code for compiler-induced variability. SC 2020: 49 - [c41]Derek Schafer, Ignacio Laguna, Anthony Skjellum, Nawrin Sultana, Kathryn M. Mohror:
Extending the MPI Stages Model of Fault Tolerance. ExaMPI@SC 2020: 52-61 - [c40]Bradley Swain, Yanze Li, Peiming Liu, Ignacio Laguna, Giorgis Georgakoudis, Jeff Huang:
OMPRacer: a scalable and precise static race detector for OpenMP programs. SC 2020: 54 - [c39]Giorgis Georgakoudis, Luanzheng Guo, Ignacio Laguna:
Reinit++: Evaluating the Performance of Global-Restart Recovery Methods for MPI Fault Tolerance. ISC 2020: 536-554 - [e4]Ignacio Laguna, Cindy Rubio-González:
4th IEEE/ACM International Workshop on Software Correctness for HPC Applications, Correctness@SC 2020, Atlanta, GA, USA, November 11, 2020. IEEE 2020, ISBN 978-0-7381-1044-8 [contents]
2010 – 2019
- 2019
- [j6]Kento Sato, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau, Simone Atzeni, Michael Bentley, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Geof Sawaya, Joachim Protze, Dong H. Ahn:
Pruners. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j5]Nawrin Sultana, Martin Rüfenacht, Anthony Skjellum, Ignacio Laguna, Kathryn M. Mohror:
Failure recovery for bulk synchronous applications with MPI stages. Parallel Comput. 84: 1-14 (2019) - [c38]Anthony Skjellum, Martin Rüfenacht, Nawrin Sultana, Derek Schafer, Ignacio Laguna, Kathryn M. Mohror:
ExaMPI: A Modern Design and Implementation to Accelerate Message Passing Interface Innovation. CARLA 2019: 153-169 - [c37]Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones:
Multi-Level Analysis of Compiler-Induced Variability and Performance Tradeoffs. HPDC 2019: 61-72 - [c36]Pradeep V. Kotipalli, Ranvijay Singh, Paul Wood, Ignacio Laguna, Saurabh Bagchi:
AMPT-GA: automatic mixed precision floating point tuning for GPU applications. ICS 2019: 160-170 - [c35]Giorgis Georgakoudis, Ignacio Laguna, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Martin Schulz:
SAFIRE: Scalable and Accurate Fault Injection for Parallel Multithreaded Applications. IPDPS 2019: 890-899 - [c34]Ignacio Laguna:
FPChecker: Detecting Floating-Point Exceptions in GPU Applications. ASE 2019: 1126-1129 - [c33]Ignacio Laguna, Ryan J. Marshall, Kathryn M. Mohror, Martin Ruefenacht, Anthony Skjellum, Nawrin Sultana:
A large-scale study of MPI usage in open-source HPC applications. SC 2019: 31:1-31:14 - [c32]Ignacio Laguna, Paul C. Wood, Ranvijay Singh, Saurabh Bagchi:
GPUMixer: Performance-Driven Floating-Point Tuning for GPU Scientific Applications. ISC 2019: 227-246 - [e3]Ignacio Laguna, Cindy Rubio-González:
2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), Denver, CO, USA, November 18, 2019. IEEE 2019, ISBN 978-1-7281-6015-3 [contents] - 2018
- [c31]Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Ignacio Laguna, Gregory L. Lee, Dong H. Ahn:
SWORD: A Bounded Memory-Overhead Detector of OpenMP Data Races in Production Runs. IPDPS 2018: 845-854 - [c30]Nawrin Sultana, Anthony Skjellum, Ignacio Laguna, Matthew Shane Farmer, Kathryn M. Mohror, Murali Emani:
MPI Stages: Checkpointing MPI State for Bulk Synchronous Applications. EuroMPI 2018: 13:1-13:11 - [c29]Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: understanding natural error resilience in HPC applications. SC 2018: 8:1-8:14 - [e2]Ignacio Laguna, Cindy Rubio-González:
2nd IEEE/ACM International Workshop on Software Correctness for HPC Applications, CORRECTNESS@SC 2018, Dallas, TX, USA, November 12, 2018. IEEE 2018, ISBN 978-1-7281-0226-9 [contents] - [i4]Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: Understanding Natural Error Resilience in HPC Applications. CoRR abs/1809.01362 (2018) - [i3]Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones:
Multi-level analysis of compiler induced variability and performance tradeoffs. CoRR abs/1811.05618 (2018) - [i2]Luanzheng Guo, Dong Li, Ignacio Laguna:
PARIS: Predicting Application Resilience Using Machine Learning. CoRR abs/1812.02944 (2018) - 2017
- [j4]Andrew A. Chien, Pavan Balaji, Nan Dun, Aiman Fang, Hajime Fujita, Kamil Iskra, Zachary A. Rubenstein, Ziming Zheng, Jeff R. Hammond, Ignacio Laguna, D. Richards, Anshu Dubey, Brian van Straalen, Mark Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew R. Siegel:
Exploring versioned distributed arrays for resilience in scientific applications. Int. J. High Perform. Comput. Appl. 31(6): 564-590 (2017) - [c28]Ayush Patwari, Ignacio Laguna, Martin Schulz, Saurabh Bagchi:
Understanding the Spatial Characteristics of DRAM Errors in HPC Clusters. FTXS@HPDC 2017: 17-22 - [c27]David Beckingsale, Olga Pearce, Ignacio Laguna, Todd Gamblin:
Apollo: Reusable Models for Fast, Dynamic Tuning of Input-Dependent Code. IPDPS 2017: 307-316 - [c26]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau:
Noise Injection Techniques to Expose Subtle and Unintended Message Races. PPoPP 2017: 89-101 - [c25]Ranvijay Singh, Paul Wood, Ravi Gupta, Saurabh Bagchi, Ignacio Laguna:
Snowpack: efficient parameter choice for GPU kernels via static analysis and statistical prediction. ScalA@SC 2017: 8:1-8:8 - [c24]Giorgis Georgakoudis, Ignacio Laguna, Dimitrios S. Nikolopoulos, Martin Schulz:
REFINE: realistic fault injection via compiler-based instrumentation for accuracy, portability and speed. SC 2017: 29 - [e1]Ignacio Laguna, Cindy Rubio-González:
Proceedings of the First International Workshop on Software Correctness for HPC Applications, CORRECTNESS@SC 2017, Denver, CO, USA, November 12, 2017. ACM 2017, ISBN 978-1-4503-5127-0 [contents] - [i1]Ganesh Gopalakrishnan, Paul D. Hovland, Costin Iancu, Sriram Krishnamoorthy, Ignacio Laguna, Richard A. Lethin, Koushik Sen, Stephen F. Siegel, Armando Solar-Lezama:
Report of the HPC Correctness Summit, Jan 25-26, 2017, Washington, DC. CoRR abs/1705.07478 (2017) - 2016
- [j3]Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Kathryn M. Mohror, Howard Pritchard:
Evaluating and extending user-level fault tolerance in MPI applications. Int. J. High Perform. Comput. Appl. 30(3): 305-319 (2016) - [c23]Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun, Luke N. Olson:
IPAS: intelligent protection against silent output corruption in scientific applications. CGO 2016: 227-238 - [c22]Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Gregory L. Lee, Joachim Protze, Matthias S. Müller:
ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. IPDPS 2016: 53-62 - [c21]Joachim Protze, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Matthias S. Müller:
Testing Infrastructure for OpenMP Debugging Interface Implementations. IWOMP 2016: 205-216 - [c20]Ignacio Laguna, Martin Schulz:
Pinpointing scale-dependent integer overflow bugs in large-scale parallel applications. SC 2016: 216-227 - 2015
- [j2]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Martin Schulz, Saurabh Bagchi, Milind Kulkarni, Bowen Zhou, Zhezhe Chen, Feng Qin:
Debugging high-performance computing applications at massive scales. Commun. ACM 58(9): 72-81 (2015) - [j1]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin:
Diagnosis of Performance Faults in LargeScale MPI Applications via Probabilistic Progress-Dependence Inference. IEEE Trans. Parallel Distributed Syst. 26(5): 1280-1289 (2015) - [c19]Andrew A. Chien, Pavan Balaji, Peter H. Beckman, Nan Dun, Aiman Fang, Hajime Fujita, Kamil Iskra, Zachary A. Rubenstein, Ziming Zheng, Rob Schreiber, Jeff R. Hammond, James Dinan, Ignacio Laguna, D. Richards, Anshu Dubey, Brian van Straalen, Mark Hoemmen, Michael A. Heroux, Keita Teranishi, Andrew R. Siegel:
Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience. ICCS 2015: 29-38 - [c18]Joachim Protze, Ignacio Laguna, Dong H. Ahn, John DelSignore, Ariel Burton, Martin Schulz, Matthias S. Müller:
Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMP. IWOMP 2015: 89-101 - [c17]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Clock delta compression for scalable order-replay of non-deterministic parallel applications. SC 2015: 62:1-62:12 - 2014
- [c16]Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin:
Accurate application progress analysis for large-scale parallel debugging. PLDI 2014: 193-203 - [c15]Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski:
Evaluating User-Level Fault Tolerance for MPI Applications. EuroMPI/ASIA 2014: 57 - [c14]Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias S. Müller, Ignacio Laguna, Zvonimir Rakamaric, Gregory L. Lee:
Towards providing low-overhead data race detection for large OpenMP applications. LLVM@SC 2014: 40-47 - 2013
- [c13]Martin Schulz, James F. Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua A. Levine, Valerio Pascucci, David F. Richards, Barry Rountree:
Performance Analysis Techniques for the Exascale Co-Design Process. PARCO 2013: 19-32 - [c12]Ignacio Laguna, Edgar A. León, Martin Schulz, Mark Stephenson:
A study of application-level recovery methods for transient network faults. ScalA@SC 2013: 3:1-3:8 - [c11]Dong H. Ahn, Gregory L. Lee, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Martin Schulz, Ignacio Laguna:
Overcoming extreme-scale reproducibility challenges through a unified, targeted, and multilevel toolset. SE-HPCCSE@SC 2013: 41-44 - [c10]Ignacio Laguna, Subrata Mitra, Fahad A. Arshad, Nawanol Theera-Ampornpunt, Zongyang Zhu, Saurabh Bagchi, Samuel P. Midkiff, Michael Kistler, Ahmed Gheith:
Automatic Problem Localization via Multi-dimensional Metric Profiling. SRDS 2013: 121-132 - 2012
- [c9]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin:
Probabilistic diagnosis of performance faults in large-scale parallel applications. PACT 2012: 213-222 - [c8]Greg Bronevetsky, Ignacio Laguna, Bronis R. de Supinski, Saurabh Bagchi:
Automatic fault characterization via abnormality-enhanced classification. DSN 2012: 1-12 - 2011
- [c7]Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree:
Large scale debugging of parallel tasks with AutomaDeD. SC 2011: 50:1-50:10 - 2010
- [c6]Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz:
AutomaDeD: Automata-based debugging for dissimilar parallel tasks. DSN 2010: 231-240
2000 – 2009
- 2009
- [c5]Ignacio Laguna, Fahad A. Arshad, Saurabh Bagchi:
Stateful error detection in high throughput applications. Middleware (Companion) 2009: 35 - [c4]Ignacio Laguna, Fahad A. Arshad, David M. Grothe, Saurabh Bagchi:
How to Keep Your Head above Water While Detecting Errors. Middleware 2009: 205-225 - [c3]Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna, Gregory L. Lee, Ben Liblit, Barton P. Miller, Martin Schulz:
Scalable temporal order analysis for large scale debugging. SC 2009 - 2007
- [c2]Gunjan Khanna, Ignacio Laguna, Fahad A. Arshad, Saurabh Bagchi:
Distributed Diagnosis of Failures in a Three Tier E-Commerce System. SRDS 2007: 185-198 - [c1]Gunjan Khanna, Ignacio Laguna, Fahad A. Arshad, Saurabh Bagchi:
Stateful Detection in High Throughput Distributed Systems. SRDS 2007: 275-287
Coauthor Index
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the dblp computer science bibliography is funded and supported by:
