E-LIB Suche - Ergebnisse für: Schnorr, Lucas Mello

1

Aumento da expectativa de vida e crescimento populacional n..:

Pereira, Wandyk AllissonBernardes ; Oliveira, Igor Rodrigues de ; Werner, Fabrício...
Research, Society and Development. 12 (2023) 5 - p. e24112531673 , 2023

Link: https://doi.org/10.33448..

2

Asynchronous multi-phase task-based applications: Employing..:

Leandro Nesi, Lucas ; Legrand, Arnaud ; Mello Schnorr, Lucas
Future Generation Computer Systems. 147 (2023) - p. 119-135 , 2023

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

3

Summarizing task-based applications behavior over many node..:

, In: 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP),

Nesi, Lucas Leandro ; Pinto, Vinicius Garcia ; Schnorr, Lucas Mello. - p. 35-42 , 2023

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

4

Uncovering I/O demands on HPC platforms: Peeking under the ..:

Carneiro, André Ramos ; Bez, Jean Luca ; Osthoff, Carla..
Journal of Parallel and Distributed Computing. 182 (2023) - p. 104744 , 2023

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

5

Performance Modeling of MARE2DEM's Adaptive Mesh Refinement..:

, In: 2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD),

Da Silva Alves, Bruno ; Mello Schnorr, Lucas - p. 119-128 , 2023

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

6

Summarizing task-based applications behavior over many node..:

Leandro Nesi, Lucas ; Garcia Pinto, Vinicius ; Schnorr, Lucas Mello.
hal-04005071. , 2023

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

7

Uncovering I/O Demands on HPC Platforms: Peeking Under the ..:

Carneiro, André Ramos ; Bez, Jean Luca ; Osthoff, Carla..
qt3s83m0wm. , 2023

Link: https://escholarship.org..

8

Companion data of Summarizing task-based applications behav..:

Leandro Nesi, Lucas ; Garcia Pinto, Vinícius ; Mello Schnorr, Lucas.
doi:10.5281/zenodo.7649489. , 2023

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

9

Summarizing task-based applications behavior over many node..:

Leandro Nesi, Lucas ; Garcia Pinto, Vinicius ; Schnorr, Lucas Mello.
hal-04005071. , 2023

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

10

Towards Parameter-Based Profiling for MARE2DEM Performance ..:

, In: Communications in Computer and Information Science; High Performance Computing,

da Silva Alves, Bruno ; Gaspary, Luciano Paschoal ; Schnorr, Lucas Mello - p. 63-77 , 2022

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

11

Understanding Distributed Deep Learning Performance by Corr..:

, In: Lecture Notes in Computer Science; High Performance Computing,

Veroneze Solórzano, Ana Luisa ; Mello Schnorr, Lucas - p. 275-292 , 2022

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

12

Performance analysis of task-based multi-frontal sparse lin..:

Cogo Miletto, Marcelo ; Leandro Nesi, Lucas ; Mello Schnorr, Lucas.
Future Generation Computer Systems. 135 (2022) - p. 409-425 , 2022

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

13

Multi-Phase Task-Based HPC Applications: Quickly Learning h..:

, In: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS),

Nesi, Lucas Leandro ; Schnorr, Lucas Mello ; Legrand, Arnaud - p. 357-367 , 2022

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

14

Investigating Oil and Gas CSEM Application on Vector Archit..:

, In: Computational Science and Its Applications – ICCSA 2022 Workshops; Lecture Notes in Computer Science,

Michels, Félix D. P. ; Schnorr, Lucas Mello ; Navaux, Philippe O. A. - p. 650-667 , 2022

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

15

Companion for "Understanding Distributed Deep Learning Perf..:

Ana Luisa Veroneze Solórzano ; Lucas Mello Schnorr
doi:10.5281/zenodo.6341582. , 2022

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