Distributed Diskless Checkpoint for Large Scale Systems. - Leonardo Arturo Bautista-Gomez; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (CCGRID, 2010)

Low-overhead diskless checkpoint for hybrid computing systems. - Leonardo Arturo Bautista-Gomez; Akira Nukada; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (HiPC, 2010)

FTI: high performance fault tolerance interface for hybrid systems. - Leonardo Arturo Bautista-Gomez; Seiji Tsuboi; Dimitri Komatitsch; Franck Cappello; Naoya Maruyama; Satoshi Matsuoka (SC, 2011)

Hierarchical Clustering Strategies for Fault Tolerance in Large Scale HPC Systems. - Leonardo Arturo Bautista-Gomez; Thomas Ropars; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (CLUSTER, 2012)

Scalable Reed-Solomon-Based Reliable Local Storage for HPC Applications on IaaS Clouds. - Leonardo Arturo Bautista-Gomez; Bogdan Nicolae; Naoya Maruyama; Franck Cappello; Satoshi Matsuoka (Euro-Par, 2012)

Improving floating point compression through binary masks. - Leonardo Arturo Bautista-Gomez; Franck Cappello (IEEE BigData, 2013)

Improving the Computing Efficiency of HPC Systems Using a Combination of Proactive and Preventive Checkpointing. - Mohamed-Slim Bouguerra; Ana Gainaru; Leonardo Arturo Bautista-Gomez; Franck Cappello; Satoshi Matsuoka; Naoya Maruyama (IPDPS, 2013)

Energy-performance tradeoffs in multilevel checkpoint strategies. - Leonardo Arturo Bautista-Gomez; Prasanna Balaprakash; Mohamed-Slim Bouguerra; Stefan M. Wild; Franck Cappello; Paul D. Hovland (CLUSTER, 2014)

GPGPUs: How to combine high computational power with high reliability. - Leonardo Arturo Bautista-Gomez; Franck Cappello; Luigi Carro; Nathan DeBardeleben; Bo Fang 002; Sudhanva Gurumurthi; Karthik Pattabiraman; Paolo Rech; Matteo Sonza Reorda (DATE, 2014)

Optimization of Multi-level Checkpoint Model for Large Scale HPC Applications. - Sheng Di; Mohamed-Slim Bouguerra; Leonardo Arturo Bautista-Gomez; Franck Cappello (IPDPS, 2014)

Detecting silent data corruption through data dynamic monitoring for scientific applications. - Leonardo Arturo Bautista-Gomez; Franck Cappello (PPoPP, 2014)

Analysis of the Tradeoffs Between Energy and Run Time for Multilevel Checkpointing. - Prasanna Balaprakash; Leonardo Arturo Bautista-Gomez; Mohamed-Slim Bouguerra; Stefan M. Wild; Franck Cappello; Paul D. Hovland (PMBS@SC, 2014)

Optimization of a Multilevel Checkpoint Model with Uncertain Execution Scales. - Sheng Di; Leonardo Arturo Bautista-Gomez; Franck Cappello (SC, 2014)

Detecting and Correcting Data Corruption in Stencil Applications through Multivariate Interpolation. - Leonardo Arturo Bautista-Gomez; Franck Cappello (CLUSTER, 2015)

Which Verification for Soft Error Detection? - Leonardo Bautista-Gomez; Anne Benoit; Aurélien Cavelan; Saurabh K. Raina; Yves Robert; Hongyang Sun 001 (HiPC, 2015)

Exploiting Spatial Smoothness in HPC Applications to Detect Silent Data Corruption. - Leonardo Arturo Bautista-Gomez; Franck Cappello (HPCC/CSS/ICESS, 2015)

Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. - Eduardo Berrocal; Leonardo Arturo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (HPDC, 2015)

Detecting Silent Data Corruption for Extreme-Scale MPI Applications. - Leonardo Arturo Bautista-Gomez; Franck Cappello (EuroMPI, 2015)

Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Ünsal; Jesús Labarta; Adrián Cristal; Franck Cappello (CCGrid, 2016)

Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations. - Matthieu Dorier; Robert Sisneros; Leonardo Bautista-Gomez; Tom Peterka; Leigh Orf; Lokman Rahmani; Gabriel Antoniu; Luc Bougé (CLUSTER, 2016)

Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (Euro-Par, 2016)

Monitoring strategies for scalable dynamic checkpointing. - Swann Perarnau; Leonardo Bautista-Gomez (IGSC, 2016)

Reducing Waste in Extreme Scale Systems through Introspective Analysis. - Leonardo Arturo Bautista-Gomez; Ana Gainaru; Swann Perarnau; Devesh Tiwari; Saurabh Gupta 002; Christian Engelmann; Franck Cappello; Marc Snir (IPDPS, 2016)

Unprotected computing: a large-scale study of DRAM raw error rate on a supercomputer. - Leonardo Bautista-Gomez; Ferad Zyulkyarov; Osman S. Unsal; Simon McIntosh-Smith (SC, 2016)

Coping with recall and precision of soft error detectors. - Leonardo Bautista-Gomez; Anne Benoit; Aurélien Cavelan; Saurabh K. Raina; Yves Robert; Hongyang Sun 001 (J. Parallel Distributed Comput., 2016)

Portable Topology-Aware MPI-I/O. - Robert Latham; Leonardo Bautista-Gomez; Pavan Balaji (ICPADS, 2017)

Toward General Software Level Silent Data Corruption Detection for Parallel Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2017)

LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. - Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel Jiménez-González; Carlos Álvarez 001; Behzad Salami 001; Sergi Madonar; Miquel Pericàs; Pedro Trancoso; et al. (CF, 2018)

LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing. - Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel Jiménez-González; Carlos Álvarez 001; Behzad Salami 001; Sergi Madonar; Miquel Pericàs; Pedro Trancoso; et al. (SAMOS, 2018)

Approximating a Multi-Grid Solver. - Valentin Le Fèvre; Leonardo Bautista-Gomez; Osman S. Unsal; Marc Casas (PMBS@SC, 2018)

Towards Ad Hoc Recovery for Soft Errors. - Nuria Losada; Leonardo Bautista-Gomez; Kai Keller; Osman S. Unsal (FTXS@SC, 2018)

On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale. - Aleix Roca Nonell; Balazs Gerofi; Leonardo Bautista-Gomez; Dominique Martinet; Vicenç Beltran Querol; Yutaka Ishikawa (MCHPC@SC, 2018)

Performance Study of Non-volatile Memories on a High-End Supercomputer. - Leonardo Bautista-Gomez; Kai Keller; Osman S. Unsal (ISC Workshops, 2018)

Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study. - Albert Kahira; Leonardo Bautista-Gomez; Rosa M. Badia (ISC Workshops, 2018)

Exploring the capabilities of support vector machines in detecting silent data corruptions. - Omer Subasi; Sheng Di; Leonardo Bautista-Gomez; Prasanna Balaprakash; Osman S. Unsal; Jesús Labarta; Adrián Cristal; Sriram Krishnamoorthy; Franck Cappello (Sustain. Comput. Informatics Syst., 2018)

Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets. - Kai Keller; Leonardo Bautista-Gomez (CCGRID, 2019)

Checkpointing Kernel Executions of MPI+CUDA Applications. - Max Baird; Sven-Bodo Scholz; Artjoms Sinkarovs; Leonardo Bautista-Gomez (Euro-Par Workshops, 2019)

Accelerating Hyperparameter Optimisation with PyCOMPSs. - Albert Njoroge Kahira; Leonardo Bautista-Gomez; Javier Conejero; Rosa M. Badia (ICPP Workshops, 2019)

Hardware Versus Software Fault Injection of Modern Undervolted SRAMs. - Muhammet Abdullah Soytürk; Konstantinos Parasyris; Behzad Salami 001; Osman S. Unsal; Gulay Yalcin; Leonardo Bautista-Gomez (CoRR, 2019)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; S. Nabavi; Sergi Madonar; et al. (CoRR, 2019)

Checkpoint/restart approaches for a thread-based MPI runtime. - Julien Adam; Maxime Kermarquer; Jean-Baptiste Besnard; Leonardo Bautista-Gomez; Marc Pérache; Patrick Carribault; Julien Jaeger; Allen D. Malony; Sameer Shende (Parallel Comput., 2019)

Checkpoint Restart Support for Heterogeneous HPC Applications. - Konstantinos Parasyris; Kai Keller; Leonardo Bautista-Gomez; Osman S. Unsal (CCGRID, 2020)

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. - Behzad Salami 001; Konstantinos Parasyris; Adrián Cristal; Osman S. Unsal; Xavier Martorell; Paul Carpenter; Raúl de la Cruz; Leonardo Bautista-Gomez; Daniel A. Jiménez; Carlos Álvarez 001; Seyed Saber Nabavi Larimi; Sergi Madonar; et al. (DATE, 2020)

Design and Study of Elastic Recovery in HPC Applications. - Kai Keller; Konstantinos Parasyris; Leonardo Bautista-Gomez (HiPC, 2020)

A Study of Checkpointing in Large Scale Training of Deep Neural Networks. - Elvis Rojas; Albert Njoroge Kahira; Esteban Meneses; Leonardo Bautista-Gomez; Rosa M. Badia (CoRR, 2020)

Armiarma: Ethereum2 Network Monitoring Tool. - Mikel Cortes-Goicoechea; Leonardo Bautista-Gomez (CoRR, 2020)

Extending the OpenCHK Model with advanced checkpoint features. - Marcos Maroñas; Sergi Mateo; Kai Keller; Leonardo Bautista-Gomez; Eduard Ayguadé; Vicenç Beltran 001 (Future Gener. Comput. Syst., 2020)

Discovering the Ethereum2 P2P Network. - Mikel Cortes-Goicoechea; Leonardo Bautista-Gomez (BCCA, 2021)

Resource Analysis of Ethereum 2.0 Clients. - Mikel Cortes-Goicoechea; Luca Franceschini; Leonardo Bautista-Gomez (BRAINS, 2021)

Co-Designing Multi-Level Checkpoint Restart for MPI Applications. - Konstantinos Parasyris; Giorgis Georgakoudis; Leonardo Bautista-Gomez; Ignacio Laguna (CCGRID, 2021)

Understanding Soft Error Sensitivity of Deep Learning Models and Frameworks through Checkpoint Alteration. - Elvis Rojas; Diego Pérez; Jon C. Calhoun; Leonardo Bautista-Gomez; Terry R. Jones; Esteban Meneses (CLUSTER, 2021)

Towards Zero-Waste Recovery and Zero-Overhead Checkpointing in Ensemble Data Assimilation. - Kai Keller; Adrián Cristal Kestelman; Leonardo Bautista-Gomez (HiPC, 2021)

An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks. - Albert Njoroge Kahira; Truong Thao Nguyen; Leonardo Bautista-Gomez; Ryousei Takano; Rosa M. Badia; Mohamed Wahib (HPDC, 2021)

FPGA Checkpointing for Scientific Computing. - Marc Perelló Bacardit; Leonardo Bautista-Gomez; Osman S. Unsal (IOLTS, 2021)

Resilience at Extreme Scale and Connections with Other Domains. - Leonardo Bautista-Gomez (IPDPS, 2022)

Resiliency in numerical algorithm design for extreme scale simulations. - Emmanuel Agullo; Mirco Altenbernd; Hartwig Anzt; Leonardo Bautista-Gomez; Tommaso Benacchio; Luca Bonaventura; Hans-Joachim Bungartz; Sanjay Chatterjee; Florina M. Ciorba; Nathan DeBardeleben; Daniel Drzisga; Sebastian Eibl; et al. (Int. J. High Perform. Comput. Appl., 2022)

Unveiling Ethereum's Hidden Centralization Incentives: Does Connectivity Impact Performance? - Mikel Cortes-Goicoechea; Tarun Mohandas-Daryanani; Jose Luis Muñoz-Tapia; Leonardo Bautista-Gomez (BCCA, 2023)

Medics: An Interdisciplinary Proposal to Create a Medical Data Collection Device to Empower the Patient. - Leonardo Bautista-Gomez; Victor Liceaga Ríos; Juan Carlos Ramírez González; Rocío Abascal-Mena (HCI (49), 2023)

Autopsy of Ethereum's Post-Merge Reward System. - Mikel Cortes-Goicoechea; Tarun Mohandas-Daryanani; Jose Luis Muñoz-Tapia; Leonardo Bautista-Gomez (ICBC, 2023)

A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation. - Sebastian Friedemann; Kai Keller; Yen-Sen Lu; Bruno Raffin; Leonardo Bautista-Gomez (CoRR, 2023)

On the Design of Ethereum's Data Availability Sampling: A Comprehensive Simulation Study. - Arunima Chaudhuri; Sudipta Basak; Csaba Király 003; Dmitriy Ryajov; Leonardo Bautista-Gomez (BRAINS, 2024)

Blockprint Accuracy Study. - Santiago Somoza; Tarun Mohandas-Daryanani; Leonardo Bautista-Gomez (BRAINS, 2024)

Can We Run Our Ethereum Nodes at Home? - Mikel Cortes-Goicoechea; Tarun Mohandas-Daryanani; Jose Luis Muñoz-Tapia; Leonardo Bautista-Gomez (IEEE Access, 2024)

Scalability limitations of Kademlia DHTs when enabling Data Availability Sampling in Ethereum. - Mikel Cortes-Goicoechea; Csaba Király 003; Dmitriy Ryajov; Jose Luis Muñoz-Tapia; Leonardo Bautista-Gomez (CoRR, 2024)

Exploring Correlation Patterns in the Ethereum Validator Network. - Simon Brown; Leonardo Bautista-Gomez (CoRR, 2024)

On the Design of Ethereum Data Availability Sampling: A Comprehensive Simulation Study. - Arunima Chaudhuri; Sudipta Basak; Csaba Király 003; Dmitriy Ryajov; Leonardo Bautista-Gomez (CoRR, 2024)

A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly? - Leonardo Bautista-Gomez; Anne Benoit; Sheng Di; Thomas Hérault; Yves Robert; Hongyang Sun 001 (Future Gener. Comput. Syst., 2024)

Dynamic load/propagate/store for data assimilation with particle filters on supercomputers. - Sebastian Friedemann; Kai Keller; Yen-Sen Lu; Bruno Raffin; Leonardo Bautista-Gomez (J. Comput. Sci., 2024)

The impact of connectivity and software in Ethereum validator performance. - Mikel Cortes-Goicoechea; Tarun Mohandas-Daryanani; Jose Luis Muñoz-Tapia; Leonardo Bautista-Gomez (Clust. Comput., 2025)