default search action
Ignacio Laguna
Person information
- affiliation: Lawrence Livermore National Laboratory, CA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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) - [c69]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 - [c68]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 - [c67]Alnis Murtovi, Giorgis Georgakoudis
Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. CGO 2024: 106-118 - [c66]Anh Tran
FPBOXer: Efficient Input-Generation for Targeting Floating-Point Exceptions in GPU Programs. HPDC 2024: 83-93 - [c65]Dolores Miao
Input Range Generation for Compiler-Induced Numerical Inconsistencies. ICS 2024: 201-212 - [c64]Dolores Miao
MUPPET: Optimizing Performance in OpenMP via Mutation Testing. PMAM@PPoPP 2024: 22-31 - [i10]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) - 2023
- [j14]Harshitha Menon
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
Finding inputs that trigger floating-point exceptions in heterogeneous computing via Bayesian optimization. Parallel Comput. 117: 103042 (2023) - [c63]Xinyi Li
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
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. SC 2023: 28:1-28:14 - [c61]Luanzheng Guo
Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. ISC Workshops 2023: 221-233 - [c60]Dolores Miao
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
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. CoRR abs/2311.05782 (2023) - 2022
- [j12]William F. Godoy
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
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
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
Approximate Computing Through the Lens of Uncertainty Quantification. SC 2022: 67:1-67:14 - [c53]Dorra Ben Khalifa
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
Giving RSEs a Larger Stage through the Better Scientific Software Fellowship. CoRR abs/2211.07436 (2022) - 2021
- [j11]Dong H. Ahn, Allison H. Baker
Keeping science on keel when software moves. Commun. ACM 64(2): 66-74 (2021) - [j10]Nawrin Sultana
Understanding the use of message passing interface in exascale proxy applications. Concurr. Comput. Pract. Exp. 33(14) (2021) - [j9]Luanzheng Guo
PARIS: Predicting application resilience using machine learning. J. Parallel Distributed Comput. 152: 111-124 (2021) - [j8]Shinobu Miwa
PredCom: A Predictive Approach to Collecting Approximated Communication Traces. IEEE Trans. Parallel Distributed Syst. 32(1): 45-58 (2021) - [c52]Konstantinos Parasyris, Giorgis Georgakoudis
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
Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes. DSN 2021: 305-313 - [c49]Konstantinos Parasyris, Giorgis Georgakoudis
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
EReinit: Scalable and efficient fault-tolerance for bulk-synchronous MPI applications. Concurr. Comput. Pract. Exp. 32(3) (2020) - [c48]Konstantinos Parasyris
HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis. IISWC 2020: 25-36 - [c47]Luanzheng Guo
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
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
Extending the MPI Stages Model of Fault Tolerance. ExaMPI@SC 2020: 52-61 - [c40]Bradley Swain, Yanze Li, Peiming Liu, Ignacio Laguna, Giorgis Georgakoudis
OMPRacer: a scalable and precise static race detector for OpenMP programs. SC 2020: 54 - [c39]Giorgis Georgakoudis
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
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
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
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
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
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
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
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
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
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
ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. IPDPS 2016: 53-62 - [c21]Joachim Protze
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
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
Versioned Distributed Arrays for Resilience in Scientific Applications: Global View Resilience. ICCS 2015: 29-38 - [c18]Joachim Protze
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
Accurate application progress analysis for large-scale parallel debugging. PLDI 2014: 193-203 - [c15]Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz
Evaluating User-Level Fault Tolerance for MPI Applications. EuroMPI/ASIA 2014: 57 - [c14]Joachim Protze
Towards providing low-overhead data race detection for large OpenMP applications. LLVM@SC 2014: 40-47 - 2013
- [c13]Martin Schulz
Performance Analysis Techniques for the Exascale Co-Design Process. PARCO 2013: 19-32 - [c12]Ignacio Laguna, Edgar A. León
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
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-18 20:42 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: