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2020 – today
- 2023
[b1]Lucas Leandro Nesi:
Strategies for Distributing Task-Based Applications on Heterogeneous Platforms. (Stratégies de distribution d'applications basées sur des tâches sur des plates-formes hétérogènes). Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2023- [j3]Lucas Leandro Nesi
, Arnaud Legrand, Lucas Mello Schnorr:
Asynchronous multi-phase task-based applications: Employing different nodes to design better distributions. Future Gener. Comput. Syst. 147: 119-135 (2023) - [c11]Lucas Leandro Nesi, Vinícius Garcia Pinto, Lucas Mello Schnorr, Arnaud Legrand:
Summarizing task-based applications behavior over many nodes through progression clustering. PDP 2023: 35-42 - 2022
- [j2]Marcelo Cogo Miletto, Lucas Leandro Nesi, Lucas Mello Schnorr, Arnaud Legrand:
Performance analysis of task-based multi-frontal sparse linear solvers: Structure matters. Future Gener. Comput. Syst. 135: 409-425 (2022) - [c10]Lucas Leandro Nesi, Lucas Mello Schnorr, Arnaud Legrand:
Multi-Phase Task-Based HPC Applications: Quickly Learning how to Run Fast. IPDPS 2022: 357-367 - 2021
- [c9]Lucas Leandro Nesi, Arnaud Legrand, Lucas Mello Schnorr:
Exploiting system level heterogeneity to improve the performance of a GeoStatistics multi-phase task-based application. ICPP 2021: 4:1-4:10 - [c8]Vinícius Garcia Pinto, Lucas Leandro Nesi, Marcelo Cogo Miletto, Lucas Mello Schnorr:
Providing In-depth Performance Analysis for Heterogeneous Task-based Applications with StarVZ. IPDPS Workshops 2021: 16-25 - 2020
- [j1]Lucas Leandro Nesi, Matheus da Silva Serpa, Lucas Mello Schnorr, Philippe Olivier Alexandre Navaux:
Task-based parallel strategies for computational fluid dynamic application in heterogeneous CPU/GPU resources. Concurr. Comput. Pract. Exp. 32(20) (2020) - [c7]Lucas Leandro Nesi, Lucas Mello Schnorr, Arnaud Legrand:
Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters. ICPADS 2020: 54-63 - [c6]Ana Luisa Veroneze Solórzano, Lucas Leandro Nesi, Lucas Mello Schnorr:
Using Visualization of Performance Data to Investigate Load Imbalance of a Geophysics Parallel Application. PEARC 2020: 518-521
2010 – 2019
- 2019
- [c5]Lucas Leandro Nesi, Samuel Thibault, Luka Stanisic, Lucas Mello Schnorr:
Visual Performance Analysis of Memory Behavior in a Task-Based Runtime on Hybrid Platforms. CCGRID 2019: 142-146 - 2018
- [c4]Lucas Leandro Nesi, Maurício Aronne Pillon, Marcos Dias de Assunção, Guilherme Piêgas Koslovski:
GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers. CCGrid 2018: 364-365 - [c3]Lucas Leandro Nesi, Maurício A. Pillon, Marcos Dias de Assunção, Charles Christian Miers, Guilherme Piêgas Koslovski:
Tackling Virtual Infrastructure Allocation in Cloud Data Centers: a GPU-Accelerated Framework. CNSM 2018: 191-197 - [c2]Lucas Leandro Nesi, Lucas Mello Schnorr, Philippe Olivier Alexandre Navaux:
Design, Implementation and Performance Analysis of a CFD Task-Based Application for Heterogeneous CPU/GPU Resources. VECPAR 2018: 31-44 - 2017
- [c1]Lucas Leandro Nesi, Chris Rorden, Brent C. Munsell:
A Simple and Efficient Cylinder Imposter Approach to Visualize DTI Fiber Tracts. CNI@MICCAI 2017: 89-97
Coauthor Index
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