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

1

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/..

2

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/..

3

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/..

4

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/..

5

Exploiting system level heterogeneity to improve the perfor..:

, In: 50th International Conference on Parallel Processing,

Leandro Nesi, Lucas ; Legrand, Arnaud ; Mello Schnorr, Lucas - p. 1-10 , 2021

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

6

Providing In-depth Performance Analysis for Heterogeneous T..:

, In: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),

Pinto, Vinicius Garcia ; Leandro Nesi, Lucas ; Miletto, Marcelo Cogo. - p. 16-25 , 2021

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

7

Task‐based parallel strategies for computational fluid dyna..:

Leandro Nesi, Lucas ; da Silva Serpa, Matheus ; Mello Schnorr, Lucas.
Concurrency and Computation: Practice and Experience. 32 (2020) 20 - p. , 2020

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

8

Using Visualization of Performance Data to Investigate Load..:

, In: Practice and Experience in Advanced Research Computing,

Veroneze Solórzano, Ana Luisa ; Leandro Nesi, Lucas ; Mello Schnorr, Lucas - p. 518-521 , 2020

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

9

A visual performance analysis framework for task‐based para..:

Garcia Pinto, Vinícius ; Mello Schnorr, Lucas ; Stanisic, Luka...
Concurrency and Computation: Practice and Experience. 30 (2018) 18 - p. , 2018

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

10

Performance modeling of a geophysics application to acceler..:

Keller Tesser, Rafael ; Mello Schnorr, Lucas ; Legrand, Arnaud...
Concurrency and Computation: Practice and Experience. 31 (2018) 11 - p. , 2018

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

11

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/..

12

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/..

13

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/..

14

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/..

15

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/..