Diego Davila

According to our database, Diego Davila authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

2024

CRIU - Checkpoint Restore in Userspace for computational simulations and scientific applications.

Fabio Andrijauskas, Igor Sfiligoi, Diego Davila, Aashay Arora, Jonathan Guiang, Brian Bockelman, Greg Thain, Frank Würthwein

CoRR, 2024

2023

400Gbps benchmark of XRootD HTTP-TPC.

Aashay Arora, Jonathan Guiang, Diego Davila, Frank Würthwein, Justas Balcas, Harvey B. Newman

CoRR, 2023

Effectiveness and predictability of in-network storage cache for Scientific Workflows.

Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas

Proceedings of the International Conference on Computing, Networking and Communications, 2023

2022

Data Transfer and Network Services management for Domain Science Workflows.

Tom Lehman, Xi Yang, Chin Guok, Frank Würthwein, Igor Sfiligoi, John Graham, Aashay Arora, Dima Mishin, Diego Davila, Jonathan Guiang, Tom Hutton, Harvey B. Newman, Justas Balcas

CoRR, 2022

Integrating End-to-End Exascale SDN into the LHC Data Distribution Cyberinfrastructure.

Jonathan Guiang, Aashay Arora, Diego Davila, John Graham, Dima Mishin, Igor Sfiligoi, Frank Würthwein, Tom Lehman, Xi Yang, Chin Guok, Harvey B. Newman, Justas Balcas, Thomas Hutton

Proceedings of the PEARC '22: Practice and Experience in Advanced Research Computing, Boston, MA, USA, July 10, 2022

Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations.

Frank Würthwein, Jonathan Guiang, Aashay Arora, Diego Davila, John Graham, Dima Mishin, Thomas Hutton, Igor Sfiligoi, Harvey B. Newman, Justas Balcas, Tom Lehman, Xi Yang, Chin Guok

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

Access Trends of In-network Cache for Scientific Data.

Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman

Proceedings of the SNTA@HPDC 2022, 2022

Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches.

Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila

Proceedings of the SNTA@HPDC 2022, 2022

2021

FlywheelTools: Data Curation and Manipulation on the Flywheel Platform.

Tinashe M. Tapera, Matthew Cieslak, Max Bertolero, Azeez Adebimpe, Geoffrey Karl Aguirre, Ellyn R. Butler, Philip A. Cook, Diego Davila, Mark A. Elliott, Sophia Linguiti, Kristin Murtha, William Tackett, John A. Detre, Theodore D. Satterthwaite

Frontiers Neuroinformatics, 2021

Data intensive physics analysis in Azure cloud.

Igor Sfiligoi, Frank Würthwein, Diego Davila

CoRR, 2021

Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD.

Edgar Fajardo Hernandez, Aashay Arora, Diego Davila, Richard Gao, Frank Würthwein, Brian Bockelman

CoRR, 2021

Analyzing Scientific Data Sharing Patterns for In-network Data Caching.

Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez

Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

2020

Moving the California distributed CMS xcache from bare metal into containers using Kubernetes.

Edgar Fajardo Hernandez, Matevz Tadel, Justas Balcas, Alja Mrak Tadel, Frank Würthwein, Diego Davila, Jonathan Guiang, Igor Sfiligoi

CoRR, 2020

2017

On Monte Carlo and Quasi-Monte Carlo for Matrix Computations.

Vassil Alexandrov, Diego Davila, Oscar A. Esquivel-Flores, Aneta Karaivanova, Todor V. Gurov, Emanouil I. Atanassov

Proceedings of the Large-Scale Scientific Computing - 11th International Conference, 2017

2016

On Monte Carlo Hybrid Methods for Linear Algebra.

Diego Davila, Vassil Alexandrov, Oscar A. Esquivel-Flores

Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016