Leonardo Bautista-Gomez

According to our database, Leonardo Bautista-Gomez authored at least 31 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Autopsy of Ethereum's Post-Merge Reward System.

Mikel Cortes-Goicoechea, Tarun Mohandas-Daryanani, Jose Luis Muñoz-Tapia, Leonardo Bautista-Gomez

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 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

Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

Unveiling Ethereum's Hidden Centralization Incentives: Does Connectivity Impact Performance?

Mikel Cortes-Goicoechea, Tarun Mohandas-Daryanani, Jose Luis Muñoz-Tapia, Leonardo Bautista-Gomez

Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022

Resilience at Extreme Scale and Connections with Other Domains.

Leonardo Bautista-Gomez

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

FPGA Checkpointing for Scientific Computing.

Marc Perelló Bacardit, Leonardo Bautista-Gomez, Osman S. Unsal

Proceedings of the 27th IEEE International Symposium on On-Line Testing and Robust System Design, 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

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Towards Zero-Waste Recovery and Zero-Overhead Checkpointing in Ensemble Data Assimilation.

Kai Keller, Adrián Cristal Kestelman, Leonardo Bautista-Gomez

Proceedings of the 28th IEEE International Conference on High Performance Computing, 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

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Co-Designing Multi-Level Checkpoint Restart for MPI Applications.

Konstantinos Parasyris, Giorgis Georgakoudis, Leonardo Bautista-Gomez, Ignacio Laguna

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

Resource Analysis of Ethereum 2.0 Clients.

Mikel Cortes-Goicoechea, Luca Franceschini, Leonardo Bautista-Gomez

Proceedings of the 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021

Discovering the Ethereum2 P2P Network.

Mikel Cortes-Goicoechea, Leonardo Bautista-Gomez

Proceedings of the Third International Conference on Blockchain Computing and Applications, 2021

2020

Design and Study of Elastic Recovery in HPC Applications.

Kai Keller, Konstantinos Parasyris, Leonardo Bautista-Gomez

Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing.

Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, Seyed Saber Nabavi Larimi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Checkpoint Restart Support for Heterogeneous HPC Applications.

Konstantinos Parasyris, Kai Keller, Leonardo Bautista-Gomez, Osman S. Unsal

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Accelerating Hyperparameter Optimisation with PyCOMPSs.

Albert Njoroge Kahira, Leonardo Bautista-Gomez, Javier Conejero, Rosa M. Badia

Proceedings of the 48th International Conference on Parallel Processing, 2019

Checkpointing Kernel Executions of MPI+CUDA Applications.

Max Baird, Sven-Bodo Scholz, Artjoms Sinkarovs, Leonardo Bautista-Gomez

Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019

Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets.

Kai Keller, Leonardo Bautista-Gomez

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study.

Albert Kahira, Leonardo Bautista-Gomez, Rosa M. Badia

Proceedings of the High Performance Computing, 2018

Performance Study of Non-volatile Memories on a High-End Supercomputer.

Leonardo Bautista-Gomez, Kai Keller, Osman S. Unsal

Proceedings of the High Performance Computing, 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

Proceedings of the Workshop on Memory Centric High Performance Computing, 2018

Towards Ad Hoc Recovery for Soft Errors.

Nuria Losada, Leonardo Bautista-Gomez, Kai Keller, Osman S. Unsal

Proceedings of the IEEE/ACM 8th Workshop on Fault Tolerance for HPC at eXtreme Scale, 2018

Approximating a Multi-Grid Solver.

Valentin Le Fèvre, Leonardo Bautista-Gomez, Osman S. Unsal, Marc Casas

Proceedings of the 2018 IEEE/ACM Performance Modeling, 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, Behzad Salami, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Micha vor dem Berge, Gunnar Billung-Meyer, Stefan Krupop, Wolfgang Christmann, Frank Klawonn, Amani Mihklafi, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Elad Hadar, Yoav Etsion, Christof Fetzer, Jens Hagemeyer, Thorsten Jungeblut, Nils Kucza, Martin Kaiser, Mario Porrmann, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber

Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

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, Behzad Salami, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Micha vor dem Berge, Gunnar Billung-Meyer, Stefan Krupop, Wolfgang Christmann, Frank Klawonn, Amani Mihklafi, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Vesna Nowack, Christof Fetzer, Jens Hagemeyer, Thorsten Jungeblut, Nils Kucza, Martin Kaiser, Mario Porrmann, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017

Portable Topology-Aware MPI-I/O.

Robert Latham, Leonardo Bautista-Gomez, Pavan Balaji

Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

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

Proceedings of the International Conference for High Performance Computing, 2016

Monitoring strategies for scalable dynamic checkpointing.

Swann Perarnau, Leonardo Bautista-Gomez

Proceedings of the Seventh International Green and Sustainable Computing Conference, 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

Proceedings of the Euro-Par 2016: Parallel Processing, 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

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

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

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2015

Which Verification for Soft Error Detection?

Leonardo Bautista-Gomez, Anne Benoit, Aurélien Cavelan, Saurabh K. Raina, Yves Robert, Hongyang Sun

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015