E-LIB Suche - Ergebnisse für: Acosta Flechas Maria

1

HPC resources for CMS offline computing: An integration and..:

Pérez-Calero Yzquierdo, Antonio ; Mascheroni, Marco ; Kizinevic, Edita...
EPJ Web of Conferences. 295 (2024) - p. 01035 , 2024

Link: https://doi.org/10.1051/..

2

Repurposing of the Run 2 CMS High Level Trigger Infrastruct..:

Mascheroni, Marco ; Pérez-Calero Yzquierdo, Antonio ; Kizinevic, Edita...
EPJ Web of Conferences. 295 (2024) - p. 03036 , 2024

Link: https://doi.org/10.1051/..

3

The integration of heterogeneous resources in the CMS Submi..:

Pérez-Calero Yzquierdo, Antonio ; Mascheroni, Marco ; Kizinevic, Edita...
EPJ Web of Conferences. 295 (2024) - p. 04046 , 2024

Link: https://doi.org/10.1051/..

4

Adoption of a token-based authentication model for the CMS ..:

Pérez-Calero Yzquierdo, Antonio ; Mascheroni, Marco ; Kizinevic, Edita...
EPJ Web of Conferences. 295 (2024) - p. 04003 , 2024

Link: https://doi.org/10.1051/..

5

Accelerating Machine Learning Inference with GPUs in ProtoD..:

Cai, Tejin ; Herner, Kenneth ; Yang, Tingjun...
Computing and Software for Big Science. 7 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

6

GPU coprocessors as a service for deep learning inference i..:

Krupa, Jeffrey ; Lin, Kelvin ; Acosta Flechas, Maria...
Machine Learning: Science and Technology. 2 (2021) 3 - p. 035005 , 2021

Link: https://doi.org/10.1088/..

7

Evolution of the CMS Global Submission Infrastructure for t..:

Pérez-Calero Yzquierdo, Antonio ; Acosta Flechas, Maria ; Davila Foyo, Diego...
EPJ Web of Conferences. 245 (2020) - p. 03016 , 2020

Link: https://doi.org/10.1051/..

8

GPU-Accelerated Machine Learning Inference as a Service for..:

Wang, Michael ; Yang, Tingjun ; Flechas, Maria Acosta...
Frontiers in Big Data. 3 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

9

FPGAs-as-a-Service Toolkit (FaaST):

, In: 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC),

Rankin, Dylan ; Krupa, Jeffrey ; Harris, Philip... - p. 38-47 , 2020

Link: https://doi.org/10.1109/..

10

Accelerating Machine Learning Inference with GPUs in ProtoD..:

Cai, Tejin ; Herner, Kenneth ; Yang, Tingjun...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611601/. , 2023

Link: http://www.ncbi.nlm.nih...

11

Accelerating Machine Learning Inference with GPUs in ProtoD..:

Cai, Tejin ; Herner, Kenneth ; Yang, Tingjun...
https://doi.org/10.1007/s41781-023-00101-0. , 2023

Link: https://hdl.handle.net/1..

12

GPU coprocessors as a service for deep learning inference i..:

Krupa, Jeffrey ; Lin, Kelvin ; Acosta Flechas, Maria...
10.1088/2632-2153/ABEC21. , 2022

Link: https://hdl.handle.net/1..

13

Evolution of the CMS Global Submission Infrastructure for t..:

Pérez-Calero Yzquierdo Antonio ; Acosta Flechas Maria ; Davila Foyo Diego...
https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_03016.pdf. , 2020

Link: https://doi.org/10.1051/..

14

Desarrollo de aplicaciones científicas en Multicores y GPUs..:

Acosta Flechas, María Paola
http://hdl.handle.net/1992/18310. , 2015

Link: http://hdl.handle.net/19..

15

Three-Dimensional Full-Field Strain Measurements across a W..:

Acosta Santamaría, Víctor A. ; Flechas García, María ; Molimard, Jérôme.
Frontiers in Mechanical Engineering. 4 (2018) - p. , 2018

Link: https://doi.org/10.3389/..