Laércio LIMA PILLA

CRCN CNRS
100 %
Libre accès
42
Documents
Affiliations actuelles
  • Outils et Optimisations pour le Calcul Haute Performance et l'Apprentissage (TOPAL)
  • Laboratoire Bordelais de Recherche en Informatique (LaBRI)
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Publications

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Approximation Algorithms for Scheduling with/without Deadline Constraints where Rejection Costs are Proportional to Processing Times

Olivier Beaumont , Rémi Bouzel , Lionel Eyraud-Dubois , Esragul Korkmaz , Laércio Lima Pilla et al.

IEEE Transactions on Parallel and Distributed Systems, 2025, 36 (12), pp.2596-2608. ⟨10.1109/TPDS.2025.3605674⟩

Article dans une revue hal-04745701v1
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Optimal Scheduling Algorithms for Software-Defined Radio Pipelined and Replicated Task Chains on Multicore Architectures

Diane Orhan , Laércio Lima Pilla , Denis Barthou , Adrien Cassagne , Olivier Aumage et al.

Journal of Parallel and Distributed Computing, In press, pp.105106. ⟨10.1016/j.jpdc.2025.105106⟩

Article dans une revue hal-04228117v2
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Scheduling Algorithms for Federated Learning with Minimal Energy Consumption

Laércio Lima Pilla

IEEE Transactions on Parallel and Distributed Systems, In press, ⟨10.1109/TPDS.2023.3240833⟩

Article dans une revue hal-03775491v2
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Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning

Lana Scravaglieri , Mihail Popov , Laércio Lima Pilla , Amina Guermouche , Olivier Aumage et al.

Journal of Parallel and Distributed Computing, 2023, 180, pp.104720. ⟨10.1016/j.jpdc.2023.104720⟩

Article dans une revue hal-03810305v1

SimSGamE : Scheduling simulator for modern game engines

Mustapha Regragui , Baptiste Coye , Laércio Lima Pilla , Raymond Namyst , Denis Barthou

Journal of Open Source Software, 2022, 7 (76), pp.4592. ⟨10.21105/joss.04592⟩

Article dans une revue hal-03753664v1
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Algorithm Selection Framework for Legalization Using Deep Convolutional Neural Networks and Transfer Learning

Renan Netto , Sheiny Fabre , Tiago Augusto Fontana , Vinicius Livramento , Laércio Lima Pilla et al.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021, ⟨10.1109/TCAD.2021.3079126⟩

Article dans une revue hal-03245856v1
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ARTful: A model for user-defined schedulers targeting multiple high-performance computing runtime systems

Alexandre Santana , Vinicius Freitas , Marcio Castro , Laércio Lima Pilla , Jean-François Méhaut

Software: Practice and Experience, 2021, ⟨10.1002/spe.2977⟩

Article dans une revue hal-02454426v2
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PackStealLB: A scalable distributed load balancer based on work stealing and workload discretization

Vinicius Freitas , Laércio Lima Pilla , Alexandre Santana , Márcio C Castro , Johanne Cohen

Journal of Parallel and Distributed Computing, 2021, 150, pp.34-45. ⟨10.1016/j.jpdc.2020.12.005⟩

Article dans une revue hal-02405735v3
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Online Thread and Data Mapping Using a Sharing-Aware Memory Management Unit

Eduardo H M Cruz , Matthias Diener , Laércio Lima Pilla , Philippe O A Navaux

ACM Transactions on Modeling and Performance Evaluation of Computing Systems, 2021, 5 (4), pp.1-28. ⟨10.1145/3433687⟩

Article dans une revue hal-03121995v1
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EagerMap: A Task Mapping Algorithm to Improve Communication and Load Balancing in Clusters of Multicore Systems

Eduardo Cruz , Matthias Diener , Laércio Lima Pilla , Philippe Navaux

ACM Transactions on Parallel Computing, 2019, 5 (4), pp.17. ⟨10.1145/3309711⟩

Article dans une revue hal-02062952v1

Performance/energy trade-off in scientific computing: the case of ARM big.LITTLE and Intel Sandy Bridge

Edson Luiz Padoin , Francieli Z. Boito , Laércio Lima Pilla , Marcio Bastos Castro , Philippe Olivier Alexandre Navaux et al.

IET Computers & Digital Techniques, 2015, 9 (1), pp.1-9. ⟨10.1049/iet-cdt.2014.0074⟩

Article dans une revue hal-01127697v1
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ComprehensiveBench: a Benchmark for the Extensive Evaluation of Global Scheduling Algorithms

Laércio Lima Pilla , Tiago Bozetti , Marcio Castro , Philippe Navaux , Jean-François Méhaut

Journal of Physics: Conference Series, 2015, pp.1-12

Article dans une revue hal-01183558v1
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Scheduling Strategies for Partially-Replicable Task Chains on Two Types of Resources

Diane Orhan , Yacine Idouar , Laércio Lima Pilla , Adrien Cassagne , Denis Barthou et al.

2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Jun 2025, Milano, Italy. pp.896-905, ⟨10.1109/IPDPSW66978.2025.00140⟩

Communication dans un congrès hal-04941123v1
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Task-Based HPC in the Cloud: Price-Performance Analysis of N-Body Simulations with StarPU

Nicolas Vanz , Vanderlei Munhoz , Márcio Castro , Laércio Lima Pilla , Olivier Aumage

IC2E 2025 - 13th IEEE International Conference on Cloud Engineering, Sep 2025, Rennes, France

Communication dans un congrès hal-05235814v1
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Near-Optimal Contraction Strategies for the Scalar Product in the Tensor-Train Format

Atte Torri , Przemysław Dominikowski , Brice Pointal , Oguz Kaya , Laércio Lima Pilla et al.

Euro-Par 2025 - 31 International European Conference on Parallel and Distributed Computing, Aug 2025, Dresden, Germany. pp.63-77, ⟨10.1007/978-3-031-99872-0_5⟩

Communication dans un congrès hal-05285400v1
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Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous Resources

Alan Lira Nunes , Cristina Boeres , Lúcia Maria de A. Drummond , Laércio Lima Pilla

2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Nov 2024, Hilo, France. pp.148-158, ⟨10.1109/SBAC-PAD63648.2024.00021⟩

Communication dans un congrès hal-04690494v2
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A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times

Olivier Beaumont , Rémi Bouzel , Lionel Eyraud-Dubois , Esragul Korkmaz , Laércio Lima Pilla et al.

International European Conference on Parallel and Distributed Computing (Euro-Par), Aug 2024, Madrid, Spain. pp.225-238, ⟨10.1007/978-3-031-69577-3_16⟩

Communication dans un congrès hal-04670834v1
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Exploring scheduling algorithms for parallel task graphs: a modern game engine case study

Mustapha Regragui , Baptiste Coye , Laércio Lima Pilla , Raymond Namyst , Denis Barthou

International European Conference on Parallel and Distributed Computing (Euro-Par), Aug 2022, Glasgow, United Kingdom. pp.103-118, ⟨10.1007/978-3-031-12597-3_7⟩

Communication dans un congrès hal-03580775v1
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Optimal Task Assignment for Heterogeneous Federated Learning Devices

Laércio Lima Pilla

IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2021, Portland, OR, United States. pp.661-670, ⟨10.1109/IPDPS49936.2021.00074⟩

Communication dans un congrès hal-02954040v2

Mapping Matters: Application Process Mapping on 3-D Processor Topologies

Jonas H. Müller Korndörfer , Mario Bielert , Laércio Lima Pilla , Florina M. Ciorba

2020 International Conference on High Performance Computing & Simulation (HPCS), Mar 2021, Barcelona, Spain

Communication dans un congrès hal-02617127v1
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Adaptive Load Balancing based on Machine Learning for Iterative Parallel Applications

Anna Victoria C R Oikawa , Vinicius Freitas , Márcio C Castro , Laércio Lima Pilla

28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), Mar 2020, Västerås, Sweden. ⟨10.1109/PDP50117.2020.00021⟩

Communication dans un congrès hal-02570549v1
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On server-side file access pattern matching

Francieli Zanon Boito , Ramon Nou , Laércio Lima Pilla , Jean Luca Bez , Jean-François Méhaut et al.

HPCS 2019 - 17th International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland. pp.1-8, ⟨10.1109/HPCS48598.2019.9188092⟩

Communication dans un congrès hal-02079899v2
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Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling

Vinicius Freitas , Alexandre Santana , Márcio Castro , Laércio Lima Pilla

HPCS 2019 - 17th International Conference on High Performance Computing & Simulation, Jul 2019, Dublin, Ireland. pp.787-794, ⟨10.1109/HPCS48598.2019.9188134⟩

Communication dans un congrès hal-02139159v1
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How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization

Renan Netto , Sheiny Fabre , Tiago Fontana , Vinicius Livramento , Laércio Lima Pilla et al.

International Symposium on Physical Design, Apr 2019, San Francisco, United States. ⟨10.1145/3299902.3309754⟩

Communication dans un congrès hal-02057042v1
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Reducing Global Schedulers' Complexity Through Runtime System Decoupling

Alexandre Santana , Vinicius Freitas , Marcio Castro , Laércio Lima Pilla , Jean-François Méhaut

WSCAD 2018 - XIX Simpósio de Sistemas Computacionais de Alto Desempenho, Oct 2018, São Paulo, Brazil. pp.1-12

Communication dans un congrès hal-01873526v1
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Enhancing Multi-Threaded Legalization Through k-d Tree Circuit Partitioning

Sheiny Fabre , José Luís Güntzel , Laércio Lima Pilla , Renan Netto , Tiago Fontana et al.

SBCCI 2018 - 31st Symposium on Integrated Circuits and Systems Design, Aug 2018, Bento Gonçalves, Brazil. pp.1-9, ⟨10.1109/SBCCI.2018.8533264⟩

Communication dans un congrès hal-01872451v1
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A Batch Task Migration Approach for Decentralized Global Rescheduling

Vinicius Freitas , Alexandre Santana , Marcio Castro , Laércio Lima Pilla

SBAC-PAD 2018 - International Symposium on Computer Architecture and High Performance Computing, Sep 2018, Lyon, France. pp.49-56, ⟨10.1109/CAHPC.2018.8645953⟩

Communication dans un congrès hal-01860626v1
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Saving Energy by Exploiting Residual Imbalances on Iterative Applications

Edson Luiz Padoin , Marcio Bastos Castro , Laércio Lima Pilla , Philippe Olivier Alexandre Navaux , Jean-François Méhaut

21st annual IEEE International High Performance Computing (HiPC), Dec 2014, Goa, India

Communication dans un congrès hal-01143573v1
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Exploring Near-Optimal Contraction Strategies for the Scalar Product in the Tensor-Train Format

Przemysław Dominikowski , Atte Torri , Brice Pointal , Oguz Kaya , Laercio Lima Pilla et al.

IEEE. IPDPS 2025 - 39th IEEE International Parallel & Distributed Processing Symposium, Jun 2025, Milan, Italy. 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp.1274-1276, ⟨10.1109/IPDPSW66978.2025.00210⟩

Poster de conférence hal-05304665v1
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Optimal Workload Scheduling Algorithm for Data-Parallel Applications on Heterogeneous Platforms based on Dynamic Programming

Laércio Lima Pilla

[Research Report] RR-9487, CNRS; LaBRI; Inria; Université de Bordeaux; Bordeaux INP. 2022, pp.1-6

Rapport hal-03776372v2
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Basics of Vectorization for Fortran Applications

Laércio Lima Pilla

[Research Report] RR-9147, Inria Grenoble Rhône-Alpes. 2018, pp.1-9

Rapport (rapport de recherche) hal-01688488v1

Performance results of different scheduling algorithms used in the simulation of a modern game engine

Mustapha Regragui , Baptiste Coye , Laércio Lima Pilla , Raymond Namyst , Denis Barthou

Dataset 10.5281/zenodo.6532252

Performance results of LeanMD on the Joliot-Curie supercomputer using different load balancing algorithms

Laércio Lima Pilla , Vinicius Freitas

Dataset 10.5281/zenodo.3878953

Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning - dataset

Lana Scravaglieri , Mihail Popov , Laércio Lima Pilla , Amina Guermouche , Olivier Aumage et al.

Dataset 10.5281/zenodo.7588998

Performance results of different scheduling algorithms used in the simulation of a modern game engine

Mustapha Regragui , Baptiste Coye , Laércio Lima Pilla , Raymond Namyst , Denis Barthou

Dataset 10.5281/zenodo.6532251

Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning - dataset

Lana Scravaglieri , Mihail Popov , Laércio Lima Pilla , Amina Guermouche , Olivier Aumage et al.

Dataset 10.5281/zenodo.7589028

Performance results of LeanMD on the Joliot-Curie supercomputer using different load balancing algorithms

Laércio Lima Pilla , Vinicius Freitas

Dataset 10.5281/zenodo.3878952

Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning - dataset

Lana Scravaglieri , Mihail Popov , Laércio Lima Pilla , Amina Guermouche , Olivier Aumage et al.

Dataset 10.5281/zenodo.7588997

Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning - dataset

Lana Scravaglieri , Mihail Popov , Laércio Lima Pilla , Amina Guermouche , Olivier Aumage et al.

Dataset 10.5281/zenodo.7590756