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ORCIDClaudio Schepke
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2020 – today
- 2024
[j8]Adriano Marques Garcia
, Dalvan Griebler, Claudio Schepke, José Daniel García, Javier Fernández Muñoz, Luiz Gustavo Fernandes:
Performance and programmability of GrPPI for parallel stream processing on multi-cores. J. Supercomput. 80(9): 12966-13000 (2024)- [c30]Felipe Bedinotto Fava, Claudio Schepke:
A Real-Time Visualization Tool of Hardware Resources for Flutter Applications. ICCSA (2) 2024: 17-30 - [c29]Felipe Bedinotto Fava, Luiz Felipe Laviola Leite, Luís Fernando Alves Da Silva, Pedro Ramires Da Silva Amalfi Costa, Angelo Gaspar Diniz Nogueira, Amanda Fagundes Gobus Lopes, Claudio Schepke, Diego Luis Kreutz, Rodrigo Brandão Mansilha:
Assessing the Performance of Docker in Docker Containers for Microservice-Based Architectures. PDP 2024: 137-142 - [i1]Marcelo Cogo Miletto, Claudio Schepke, Lucas Mello Schnorr:
Optimization of a Radiofrequency Ablation FEM Application Using Parallel Sparse Solvers. CoRR abs/2409.13036 (2024) - 2023
- [j7]Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, Luiz Gustavo Fernandes:
SPBench: a framework for creating benchmarks of stream processing applications. Computing 105(5): 1077-1099 (2023) - [j6]Hígor Uélinton Silva, Natiele Lucca, Claudio Schepke, Dalmo Paim de Oliveira, César Flaubiano da Cruz Cristaldo:
Parallel OpenMP and OpenACC porous media simulation. J. Supercomput. 79(8): 8425-8446 (2023) - [j5]Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, Luiz Gustavo Fernandes:
Micro-batch and data frequency for stream processing on multi-cores. J. Supercomput. 79(8): 9206-9244 (2023) - [c28]Gabriella Lopes Andrade, Claudio Schepke, Natiele Lucca, João Plínio Juchem Neto:
Modified Differential Evolution Algorithm Applied to Economic Load Dispatch Problems. ICCSA (1) 2023: 19-37 - [c27]Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, André Sacilotto Santos, José Daniel García, Javier Fernández Muñoz, Luiz G. L. Fernandes:
A Latency, Throughput, and Programmability Perspective of GrPPI for Streaming on Multi-cores. PDP 2023: 164-168 - [c26]Natiele Lucca, Claudio Schepke, Gabriel Tremarin:
Parallel Directives Evaluation in Porous Media Application: A Case Study. PDP 2023: 275-282 - [c25]Adriano Prado Cavalheiro, Claudio Schepke:
Exploring the Serverless First Strategy in Cloud Application Development. SBAC-PADW 2023: 89-94 - 2022
- [c24]Adriano Marques Garcia, Dalvan Griebler, Claudio Schepke, Luiz Gustavo Leão Fernandes:
Evaluating Micro-batch and Data Frequency for Stream Processing Applications on Multi-cores. PDP 2022: 10-17 - [c23]Hígor Uélinton Silva, Claudio Schepke, Natiele Lucca, César Flaubiano da Cruz Cristaldo, Dalmo Paim de Oliveira:
Parallel OpenMP and OpenACC Mixing Layer Simulation. PDP 2022: 181-188 - 2021
- [c22]Hígor Uélinton Silva, Claudio Schepke, César Flaubiano da Cruz Cristaldo, Dalmo Paim de Oliveira, Natiele Lucca:
An Efficient Parallel Model for Coupled Open-Porous Medium Problem Applied to Grain Drying Processing. CARLA 2021: 250-264 - [c21]Adriano Marques Garcia, Dalvan Griebler, Luiz G. L. Fernandes, Claudio Schepke:
Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces. PDP 2021: 84-88 - 2020
- [j4]Adriano Marques Garcia, Claudio Schepke, Alessandro Girardi:
PAMPAR: A new parallel benchmark for performance and energy consumption evaluation. Concurr. Comput. Pract. Exp. 32(20) (2020) - [c20]Adriano Marques Garcia, Matheus S. Serpa, Dalvan Griebler, Claudio Schepke, Luiz G. L. Fernandes, Philippe O. A. Navaux:
The Impact of CPU Frequency Scaling on Power Consumption of Computing Infrastructures. ICCSA (6) 2020: 142-157 - [c19]Natiele Lucca, Claudio Schepke:
A New Library of Bio-Inspired Algorithms. ICCSA (1) 2020: 474-484 - [c18]Natiele Lucca, Claudio Schepke:
Evaluation of SIMD Instructions on Bio-Inspired Algorithms. ISPDC 2020: 52-59 - [c17]Claudio Schepke, Marcelo Cogo Miletto:
Acceleration of Radiofrequency Ablation Process for Liver Cancer Using GPU. PDP 2020: 385-389
2010 – 2019
- 2019
- [c16]Joao Vicente Ferreira Lima, Gabriel Freytag, Vinícius Garcia Pinto, Claudio Schepke, Philippe O. A. Navaux:
A Dynamic Task-Based D3Q19 Lattice-Boltzmann Method for Heterogeneous Architectures. PDP 2019: 108-115 - 2018
- [c15]Anderson M. Maliszewski, Dalvan Griebler, Claudio Schepke, Alexander Ditter, Dietmar Fey, Luiz Gustavo Fernandes:
The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM. HPCS 2018: 359-366 - [c14]Dalvan Griebler, Adriano Vogel, Carlos A. F. Maron, Anderson M. Maliszewski, Claudio Schepke, Luiz Gustavo Fernandes:
Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions. ISCC 2018: 450-456 - [c13]Robson Goncalves, Alessandro Girardi, Claudio Schepke:
Performance and Energy Consumption Analysis of Coprocessors Using Different Programming Models. PDP 2018: 508-512 - [c12]Adriano Marques Garcia, Claudio Schepke, Alessandro Gonçalves Girardi, Sherlon Almeida da Silva:
A New Parallel Benchmark for Performance Evaluation and Energy Consumption. VECPAR 2018: 188-201 - [c11]Adriano Marques Garcia, Claudio Schepke, Alessandro Gonçalves Girardi, Sherlon Almeida da Silva:
Power Consumption of Parallel Programming Interfaces in Multicore Architectures: A Case Study. WSCAD 2018: 77-83 - [c10]Marcelo Miletto, Claudio Schepke:
Acceleration of a Computational Simulation Application for Radiofrequency Ablation Procedure Using GPU. WSCAD 2018: 272 - [c9]Anderson Mattheus Maliszewski, Dalvan Griebler, Adriano Vogel, Claudio Schepke:
On the Performance of Multithreading Applications under Private Cloud Conditions. WSCAD 2018: 273 - 2017
- [c8]Adriano Vogel, Dalvan Griebler, Claudio Schepke, Luiz Gustavo Fernandes:
An Intra-Cloud Networking Performance Evaluation on CloudStack Environment. PDP 2017: 468-472 - 2016
- [c7]Adriano Vogel, Dalvan Griebler, Carlos A. F. Maron, Claudio Schepke, Luiz Gustavo Fernandes:
Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack. PDP 2016: 672-679 - 2014
- [c6]Guilherme Galante, Luis Carlos Erpen De Bona, Claudio Schepke:
Improving OLAM with Cloud Elasticity. ICCSA (6) 2014: 46-60 - 2013
- [j3]Claudio Schepke, Nicolas Maillard, Jörg Schneider, Hans-Ulrich Heiss:
Online Mesh Refinement for Parallel Atmospheric Models. Int. J. Parallel Program. 41(4): 552-569 (2013) - 2012
- [b1]Claudio Schepke:
Exploiting multiple levels of parallelism and online refinement of unstructured meshes in atmospheric model application. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2012 - [j2]Carla Osthoff, Francieli Zanon Boito, Rodrigo Virote Kassick, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Claudio Schepke, Jairo Panetta, Pablo Javier Grunmann, Nicolas Maillard, Pedro Leite da Silva Dias, Robert L. Walko:
Atmospheric models hybrid OpenMP/MPI implementation multicore cluster evaluation. Int. J. Inf. Technol. Commun. Convergence 2(3): 212-233 (2012) - [c5]Claudio Schepke, Nicolas Maillard:
Exploring Multi-level Parallelism in Atmospheric Applications. WSCAD-SSC 2012: 41-48 - 2011
- [c4]Carla Osthoff, Pablo Javier Grunmann, Francieli Zanon Boito, Rodrigo Kassick, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Claudio Schepke, Jairo Panetta, Nicolas Maillard, Pedro Leite da Silva Dias, Robert L. Walko:
Improving Performance on Atmospheric Models through a Hybrid OpenMP/MPI Implementation. ISPA 2011: 69-74 - [c3]Claudio Schepke, Nicolas Maillard, Jörg Schneider, Hans-Ulrich Heiss:
Why Online Dynamic Mesh Refinement is Better for Parallel Climatological Models. SBAC-PAD 2011: 168-175 - 2010
- [c2]Carla Osthoff, Claudio Schepke, Jairo Panetta, Pablo Javier Grunmann, Nicolas Maillard, Philippe O. A. Navaux, Pedro Leite da Silva Dias, Pedro Pais Lopes:
I/O Performance Evaluation on Multicore Clusters with Atmospheric Model Environment. SBAC-PAD (Workshops) 2010: 49-54
2000 – 2009
- 2009
- [j1]Claudio Schepke, Nicolas Maillard, Philippe Olivier Alexandre Navaux:
Parallel Lattice Boltzmann Method with Blocked Partitioning. Int. J. Parallel Program. 37(6): 593-611 (2009) - 2007
- [c1]Claudio Schepke, Nicolas Maillard:
Performance Improvement of the Parallel Lattice Boltzmann Method Through Blocked Data Distributions. SBAC-PAD 2007: 71-78
Coauthor Index
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