E-LIB Suche - Ergebnisse für: Servat, Harald

1

Enabling Homomorphically Encrypted Inference for Large DNN ..:

Lloret-Talavera, Guillermo ; Jorda, Marc ; Servat, Harald...
IEEE Transactions on Computers. 71 (2022) 5 - p. 1145-1155 , 2022

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

2

On the Migration of OpenACC-Based Applications into OpenMP ..:

, In: OpenMP in a Modern World: From Multi-device Support to Meta Programming; Lecture Notes in Computer Science,

Servat, Harald ; Rossi, Giacomo ; Duran, Alejandro. - p. 127-141 , 2022

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

3

Understanding memory access patterns using the BSC performa..:

Servat, Harald ; Labarta, Jesús ; Hoppe, Hans-Christian..
Parallel Computing. 78 (2018) - p. 1-14 , 2018

Link: https://doi.org/10.1016/..

4

The mont-blanc prototype : an alternative approach for H..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

Rajovic, Nikola ; Rico, Alejandro ; Mantovani, Filippo... - p. 1-12 , 2016

Link: https://dl.acm.org/doi/1..

5

Bio-Inspired Call-Stack Reconstruction for Performance Anal..:

, In: 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP),

Servat, Harald ; Llort, German ; Gonzalez, Juan.. - p. 82-90 , 2016

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

6

Framework for a productive performance optimization:

Servat, Harald ; Llort, Germán ; Huck, Kevin..
Parallel Computing. 39 (2013) 8 - p. 336-353 , 2013

Link: https://doi.org/10.1016/..

7

Detailed and simultaneous power and performance analysis:

Servat, Harald ; Llort, Germán ; Giménez, Judit.
Concurrency and Computation: Practice and Experience. 28 (2013) 2 - p. 252-273 , 2013

Link: https://doi.org/10.1002/..

8

On the usefulness of object tracking techniques in performa..:

, In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis,

Llort, Germán ; Servat, Harald ; González, Juan.. - p. 1-11 , 2013

Link: https://dl.acm.org/doi/1..

9

Cell-Dock: high-performance protein–protein docking:

Pons, Carles ; Jiménez-González, Daniel ; González-Álvarez, Cecilia...
Bioinformatics. 28 (2012) 18 - p. 2394-2396 , 2012

Link: https://doi.org/10.1093/..

10

Extracting the optimal sampling frequency of applications u..:

Casas, Marc ; Servat, Harald ; Badia, Rosa M..
Concurrency and Computation: Practice and Experience. 24 (2011) 3 - p. 237-259 , 2011

Link: https://doi.org/10.1002/..

11

Enabling Homomorphically Encrypted Inference for Large DNN ..:

Lloret-Talavera, Guillermo ; Jorda, Marc ; Servat, Harald...
http://arxiv.org/abs/2103.16139. , 2021

Link: http://arxiv.org/abs/210..

12

Enabling homomorphically encrypted inference for large DNN ..:

Lloret Talavera, Guillermo ; Jorda, Marc ; Servat, Harald...
https://ieeexplore.ieee.org/abstract/document/9417740. , 2021

Link: http://hdl.handle.net/21..

13

Understanding Memory Access Patterns Using the BSC Performa..:

Servat, Harald ; Labarta, Jesús ; Hoppe, Hans-Christian..
http://arxiv.org/abs/2005.05872. , 2020

Link: http://arxiv.org/abs/200..

14

MetH: A family of high-resolution and variable-shape image ..:

Parés, Ferran ; Garcia-Gasulla, Dario ; Servat, Harald..
http://arxiv.org/abs/1911.08953. , 2019

Link: http://arxiv.org/abs/191..

15

MetH: A family of high-resolution and variable-shape image ..:

Parés Pont, Ferran ; Garcia Gasulla, Dario ; Servat, Harald..
info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/. , 2019

Link: http://hdl.handle.net/21..