E-LIB Suche - Ergebnisse für: Amaris, Marcos

1

Evaluating execution time predictions on GPU kernels using ..:

Amaris, Marcos ; Camargo, Raphael ; Cordeiro, Daniel..
Journal of Parallel and Distributed Computing. 171 (2023) - p. 66-78 , 2023

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

2

A Profile-Based AI-Assisted Dynamic Scheduling Approach for..:

Geng, Tongsheng ; Amaris, Marcos ; Zuckerman, Stéphane...
International Journal of Parallel Programming. 50 (2021) 1 - p. 115-151 , 2021

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

3

PDAWL: Profile-Based Iterative Dynamic Adaptive WorkLoad Ba..:

, In: Job Scheduling Strategies for Parallel Processing; Lecture Notes in Computer Science,

Geng, Tongsheng ; Amaris, Marcos ; Zuckerman, Stéphane... - p. 145-162 , 2020

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

4

Generic algorithms for scheduling applications on heterogen..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
Concurrency and Computation: Practice and Experience. 31 (2018) 15 - p. , 2018

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

5

Autotuning CUDA compiler parameters for heterogeneous appli..:

Bruel, Pedro ; Amarís, Marcos ; Goldman, Alfredo
Concurrency and Computation: Practice and Experience. 29 (2017) 22 - p. , 2017

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

6

A Simple BSP-based Model to Predict Execution Time in GPU A..:

, In: 2015 IEEE 22nd International Conference on High Performance Computing (HiPC),

Amaris, Marcos ; Cordeiro, Daniel ; Goldman, Alfredo. - p. 285-294 , 2015

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

7

A Profile-Based AI-Assisted Dynamic Scheduling Approach for..:

Geng, Tongsheng ; Amaris, Marcos ; Zuckerman, Stéphane...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10766-021-00721-2. , 2022

Link: https://hal.science/hal-..

8

A Profile-Based AI-Assisted Dynamic Scheduling Approach for..:

Geng, Tongsheng ; Amaris, Marcos ; Zuckerman, Stéphane...
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10766-021-00721-2. , 2022

Link: https://hal.science/hal-..

9

Generic Algorithms for Scheduling Applications on Heterogen..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
info:eu-repo/semantics/altIdentifier/doi/10.1002/cpe.4647. , 2018

Link: https://inria.hal.scienc..

10

Generic Algorithms for Scheduling Applications on Heterogen..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
info:eu-repo/semantics/altIdentifier/doi/10.1002/cpe.4647. , 2018

Link: https://hal.inria.fr/hal..

11

Generic Algorithms for Scheduling Applications on Heterogen..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
info:eu-repo/semantics/altIdentifier/doi/10.1002/cpe.4647. , 2018

Link: https://inria.hal.scienc..

12

Generic algorithms for scheduling applications on hybrid mu..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
hal-01420798. , 2017

Link: https://hal.inria.fr/hal..

13

Generic algorithms for scheduling applications on heterogen..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
http://arxiv.org/abs/1711.06433. , 2017

Link: http://arxiv.org/abs/171..

14

Generic algorithms for scheduling applications on hybrid mu..:

Amaris, Marcos ; Lucarelli, Giorgio ; Mommessin, Clément.
hal-01420798. , 2017

Link: https://hal.inria.fr/hal..

15

marcosamaris/gpuperfpredict: gpuperfpredict JPDC Article:

Marcos Amarís González ; Mohamed Dyab
https://github.com/marcosamaris/gpuperfpredict/tree/JPDC_2022. , 2022

Link: https://zenodo.org/recor..