RESEARCHER PROFILE

Cláudio Schepke

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C

Universidade Federal do Pampa

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing SystemsComputer Graphics and Visualization TechniquesCloud Computing and Resource ManagementEmbedded Systems Design Techniques

Cláudio Schepke works in Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Computer Graphics and Visualization Techniques, Cloud Computing and Resource Management, Embedded Systems Design Techniques. Recorded institutional associations include Universidade Federal do Pampa.

118Publications
266Citations
8H-index

ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Private IaaS Clouds: A Comparative Analysis of OpenNebula, CloudStack and OpenStack

    2016 · 36 citations

  2. SPBench: a framework for creating benchmarks of stream processing applications

    2022 · 19 citations

  3. Parallel Lattice Boltzmann Method with Blocked Partitioning

    2009 · 18 citations

  4. An Intra-Cloud Networking Performance Evaluation on CloudStack Environment

    2017 · 16 citations

  5. Parallel OpenMP and OpenACC porous media simulation

    2022 · 13 citations

  6. Improving Performance on Atmospheric Models through a Hybrid OpenMP/MPI Implementation

    2011 · 12 citations

  7. PAMPAR: A new parallel benchmark for performance and energy consumption evaluation

    2019 · 10 citations

  8. Assessing the Performance of Docker in Docker Containers for Microservice-Based Architectures

    2024 · 9 citations

  9. Introducing a Stream Processing Framework for Assessing Parallel Programming Interfaces

    2021 · 8 citations

  10. Evaluating Micro-batch and Data Frequency for Stream Processing Applications on Multi-cores

    2022 · 8 citations

  11. Performance of Data Mining, Media, and Financial Applications under Private Cloud Conditions

    2018 · 7 citations

  12. An Efficient Parallel Model for Coupled Open-Porous Medium Problem Applied to Grain Drying Processing

    2022 · 7 citations

  13. Micro-batch and data frequency for stream processing on multi-cores

    2023 · 6 citations

  14. Exploring the Serverless First Strategy in Cloud Application Development

    2023 · 6 citations

  15. Optimization of a Radiofrequency Ablation FEM Application Using Parallel Sparse Solvers

    2024 · 6 citations

  16. Improving Atmospheric Model Performance on a Multi-Core Cluster System

    2012 · 5 citations

  17. I/O Performance Evaluation on Multicore Clusters with Atmospheric Model Environment

    2010 · 5 citations

  18. Performance Improvement of the Parallel Lattice Boltzmann Method Through Blocked Data Distributions

    2007 · 5 citations

  19. The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM

    2018 · 5 citations

  20. The Impact of CPU Frequency Scaling on Power Consumption of Computing Infrastructures

    2020 · 5 citations

  21. Parallel OpenMP and OpenACC Mixing Layer Simulation

    2022 · 5 citations

  22. Online Mesh Refinement for Parallel Atmospheric Models

    2012 · 4 citations

  23. A Dynamic Task-Based D3Q19 Lattice-Boltzmann Method for Heterogeneous Architectures

    2019 · 4 citations

  24. Performance and programmability of GrPPI for parallel stream processing on multi-cores

    2024 · 4 citations

  25. Why Online Dynamic Mesh Refinement is Better for Parallel Climatological Models

    2011 · 3 citations

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