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Laércio Lima Pilla

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affiliation: University of Bordeaux, France

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Books and Theses

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2014
[b1]
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Laércio Lima Pilla:
Topology-Aware Load Balancing for Performance Portability over Parallel High Performance Systems. (Équilibrage de charge prenant en compte la topologie des plates-formes de calcul parallèle pour la portabilité des performances). University of Grenoble, France, 2014

Journal Articles

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2023
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Lana Scravaglieri, Mihail Popov, Laércio Lima Pilla, Amina Guermouche, Olivier Aumage, Emmanuelle Saillard:
Optimizing performance and energy across problem sizes through a search space exploration and machine learning. J. Parallel Distributed Comput. 180: 104720 (2023)
[j19]
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Laércio Lima Pilla:
Scheduling Algorithms for Federated Learning With Minimal Energy Consumption. IEEE Trans. Parallel Distributed Syst. 34(4): 1215-1226 (2023)
2022
[j18]
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Mustapha Regragui, Baptiste Coye, Laércio Lima Pilla, Raymond Namyst, Denis Barthou:
SimSGamE : Scheduling simulator for modern game engines. J. Open Source Softw. 7(77): 4592 (2022)
[j17]
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Renan Netto, Sheiny Fabre, Tiago Augusto Fontana, Vinicius S. Livramento, Laércio Lima Pilla, Laleh Behjat, José Luís Güntzel:
Algorithm Selection Framework for Legalization Using Deep Convolutional Neural Networks and Transfer Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(5): 1481-1494 (2022)
2021
[j16]
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Vinicius Freitas, Laércio Lima Pilla, Alexandre de Limas Santana, Márcio Castro, Johanne Cohen:
PackStealLB: A scalable distributed load balancer based on work stealing and workload discretization. J. Parallel Distributed Comput. 150: 34-45 (2021)
[j15]
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Alexandre de Limas Santana, Vinicius Freitas, Márcio Castro, Laércio Lima Pilla, Jean-François Méhaut:
ARTful: A model for user-defined schedulers targeting multiple high-performance computing runtime systems. Softw. Pract. Exp. 51(7): 1622-1638 (2021)
[j14]
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Eduardo H. M. Cruz, Matthias Diener, Laércio Lima Pilla, Philippe O. A. Navaux:
Online Thread and Data Mapping Using a Sharing-Aware Memory Management Unit. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 16:1-16:28 (2021)
2019
[j13]
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Eduardo H. M. Cruz, Matthias Diener, Laércio Lima Pilla, Philippe O. A. Navaux:
EagerMap: A Task Mapping Algorithm to Improve Communication and Load Balancing in Clusters of Multicore Systems. ACM Trans. Parallel Comput. 5(4): 17:1-17:24 (2019)
2018
[j12]
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Andre Salvaro Furtado, Laércio Lima Pilla, Vania Bogorny:
A branch and bound strategy for Fast Trajectory Similarity Measuring. Data Knowl. Eng. 115: 16-31 (2018)
[j11]
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Rodrigo da Rosa Righi, Roberto de Quadros Gomes, Vinicius Facco Rodrigues, Cristiano André da Costa, Antônio Marcos Alberti, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux:
MigPF: Towards on self-organizing process rescheduling of Bulk-Synchronous Parallel applications. Future Gener. Comput. Syst. 78: 272-286 (2018)
[j10]
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Mauro Hinz, Guilherme Piêgas Koslovski, Charles Christian Miers, Laércio Lima Pilla, Maurício A. Pillon:
A Cost Model for IaaS Clouds Based on Virtual Machine Energy Consumption. J. Grid Comput. 16(3): 493-512 (2018)
2016
[j9]
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Eduardo Henrique Molina da Cruz, Matthias Diener, Marco A. Z. Alves, Laércio Lima Pilla, Philippe O. A. Navaux:
LAPT: A locality-aware page table for thread and data mapping. Parallel Comput. 54: 59-71 (2016)
[j8]
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Eduardo H. M. Cruz, Matthias Diener, Laércio Lima Pilla, Philippe O. A. Navaux:
Hardware-Assisted Thread and Data Mapping in Hierarchical Multicore Architectures. ACM Trans. Archit. Code Optim. 13(3): 28:1-28:28 (2016)
[j7]
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Daniel Alfonso Gonçalves de Oliveira, Laércio Lima Pilla, Thiago Santini, Paolo Rech:
Evaluation and Mitigation of Radiation-Induced Soft Errors in Graphics Processing Units. IEEE Trans. Computers 65(3): 791-804 (2016)
2015
[j6]
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Edson L. Padoin, Laércio Lima Pilla, Márcio Castro, Francieli Zanon Boito, Philippe Olivier Alexandre Navaux, Jean-François Méhaut:
Performance/energy trade-off in scientific computing: the case of ARM big.LITTLE and Intel Sandy Bridge. IET Comput. Digit. Tech. 9(1): 27-35 (2015)
[j5]
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Matthias Diener, Eduardo Henrique Molina da Cruz, Laércio Lima Pilla, Fabrice Dupros, Philippe Olivier Alexandre Navaux:
Characterizing communication and page usage of parallel applications for thread and data mapping. Perform. Evaluation 88: 18-36 (2015)
2014
[j4]
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Laércio Lima Pilla, Christiane Pousa Ribeiro, Pierre Coucheney, François Broquedis, Bruno Gaujal, Philippe Olivier Alexandre Navaux, Jean-François Méhaut:
A topology-aware load balancing algorithm for clustered hierarchical multi-core machines. Future Gener. Comput. Syst. 30: 191-201 (2014)
2013
[j3]
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Edson L. Padoin, Laércio Lima Pilla, Francieli Zanon Boito, Rodrigo Virote Kassick, Pedro Velho, Philippe Olivier Alexandre Navaux:
Evaluating application performance and energy consumption on hybrid CPU+GPU architecture. Clust. Comput. 16(3): 511-525 (2013)
2012
[j2]
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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)
2010
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Nicolas Maillard, Alexandre Carissimi, Philippe Olivier Alexandre Navaux:
Observing the Impact of Multiple Metrics and Runtime Adaptations on BSP Process Rescheduling. Parallel Process. Lett. 20(2): 123-144 (2010)

Conference and Workshop Papers

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2024
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Olivier Beaumont, Rémi Bouzel, Lionel Eyraud-Dubois, Esragul Korkmaz, Laércio Lima Pilla, Alexandre van Kempen:
A 1.25(1+ε )-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times. Euro-Par (1) 2024: 225-238
2022
[c39]
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Mustapha Regragui, Baptiste Coye, Laércio Lima Pilla, Raymond Namyst, Denis Barthou:
Exploring Scheduling Algorithms for Parallel Task Graphs: A Modern Game Engine Case Study. Euro-Par 2022: 103-118
2021
[c38]
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Laércio Lima Pilla:
Optimal Task Assignment for Heterogeneous Federated Learning Devices. IPDPS 2021: 661-670
2020
[c37]
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C. R. Anna Victoria Oikawa, Vinicius Freitas, Márcio Castro, Laércio Lima Pilla:
Adaptive Load Balancing based on Machine Learning for Iterative Parallel Applications. PDP 2020: 94-101
2019
[c36]
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Francieli Zanon Boito, Ramon Nou, Laércio Lima Pilla, Jean Luca Bez, Jean-François Méhaut, Toni Cortes, Philippe O. A. Navaux:
On server-side file access pattern matching. HPCS 2019: 217-224
[c35]
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Vinicius Freitas, Alexandre de Limas Santana, Márcio Castro, Laércio Lima Pilla:
Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling. HPCS 2019: 787-794
[c34]
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Renan Netto, Sheiny Fabre, Tiago Augusto Fontana, Vinicius S. Livramento, Laércio Lima Pilla, José Luís Güntzel:
How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization. ISPD 2019: 3-10
2018
[c33]
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Eduardo H. M. Cruz, Matthias Diener, Matheus S. Serpa, Philippe Olivier Alexandre Navaux, Laércio Lima Pilla, Israel Koren:
Improving Communication and Load Balancing with Thread Mapping in Manycore Systems. PDP 2018: 93-100
[c32]
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Vinicius Freitas, Alexandre de Limas Santana, Márcio Castro, Laércio Lima Pilla:
A Batch Task Migration Approach for Decentralized Global Rescheduling. SBAC-PAD 2018: 49-56
[c31]
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Sheiny Fabre, José Luís Güntzel, Laércio Lima Pilla, Renan Netto, Tiago Fontana, Vinicius S. Livramento:
Enhancing Multi-Threaded Legalization Through k-d Tree Circuit Partitioning. SBCCI 2018: 1-6
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Alexandre de Limas Santana, Vinicius Freitas, Laércio Lima Pilla, Márcio Castro, Jean-François Méhaut:
Reducing Global Schedulers Complexity through Runtime System Decoupling. WSCAD 2018: 38-44
[c29]
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Vilnei Neves, Maurício L. Pilla, Adenauer C. Yamin, Laércio Lima Pilla:
Samsara Architecture: Exploring Situation Awareness in Cloud Computing Management. WSCAD 2018: 84-92
2017
[c28]
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Daniel Alfonso Gonçalves de Oliveira, Laércio Lima Pilla, Mauricio Hanzich, Vinicius Fratin, Fernando Fernandes, Caio B. Lunardi, José María Cela, Philippe Olivier Alexandre Navaux, Luigi Carro, Paolo Rech:
Radiation-Induced Error Criticality in Modern HPC Parallel Accelerators. HPCA 2017: 577-588
[c27]
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Tiago Fontana, Renan Netto, Vinicius S. Livramento, Chrystian Guth, Sheiny Almeida, Laércio Lima Pilla, José Luís Güntzel:
How Game Engines Can Inspire EDA Tools Development: A use case for an open-source physical design library. ISPD 2017: 25-31
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Tiago Augusto Fontana, Sheiny Almeida, Renan Netto, Vinicius S. Livramento, Chrystian Guth, Laércio Lima Pilla, José Luís Güntzel:
Exploiting cache locality to speedup register clustering. SBCCI 2017: 191-197
[c25]
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Daniel Oliveira, Laércio Lima Pilla, Nathan DeBardeleben, Sean Blanchard, Heather Quinn, Israel Koren, Philippe O. A. Navaux, Paolo Rech:
Experimental and analytical study of Xeon Phi reliability. SC 2017: 28
2016
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Edson L. Padoin, Laércio Lima Pilla, Márcio Castro, Philippe O. A. Navaux, Jean-François Méhaut:
Exploration of Load Balancing Thresholds to Save Energy on Iterative Applications. CARLA 2016: 76-88
[c23]
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Eduardo H. M. Cruz, Matthias Diener, Laércio Lima Pilla, Philippe O. A. Navaux:
A Sharing-Aware Memory Management Unit for Online Mapping in Multi-core Architectures. Euro-Par 2016: 490-501
[c22]
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Renan Netto, Chrystian Guth, Vinicius S. Livramento, Márcio Castro, Laércio Lima Pilla, José Luís Güntzel:
Exploiting parallelism to speed up circuit legalization. ICECS 2016: 624-627
[c21]
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Rodrigo Costa de Moura, Giovane O. Torres, Maurício L. Pilla, Laércio Lima Pilla, Amarildo T. da Costa, Felipe Maia Galvão França:
Value Reuse Potential in ARM Architectures. SBAC-PAD 2016: 174-181
2015
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Daniel Alfonso Gonçalves de Oliveira, Laércio Lima Pilla, Caio B. Lunardi, Luigi Carro, Philippe O. A. Navaux, Paolo Rech:
The Path to Exascale: Code Optimizations and Hardening Solutions Reliability. FTXS@HPDC 2015: 55-62
[c19]
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Eduardo Henrique Molina da Cruz, Matthias Diener, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux:
An Efficient Algorithm for Communication-Based Task Mapping. PDP 2015: 207-214
[c18]
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Eduardo Camilo Inacio, Laércio Lima Pilla, Mário Antônio Ribeiro Dantas:
Understanding the Effect of Multiple Factors on a Parallel File System's Performance. WETICE 2015: 90-92
2014
[c17]
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Daniel A. G. de Oliveira, Paolo Rech, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Luigi Carro:
GPGPUs ECC efficiency and efficacy. DFT 2014: 209-215
[c16]
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Paolo Rech, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Luigi Carro:
Impact of GPUs Parallelism Management on Safety-Critical and HPC Applications Reliability. DSN 2014: 455-466
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Daniel A. G. de Oliveira, Caio B. Lunardi, Laércio Lima Pilla, Paolo Rech, Philippe Olivier Alexandre Navaux, Luigi Carro:
Radiation Sensitivity of High Performance Computing Applications on Kepler-Based GPGPUs. DSN 2014: 732-737
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Edson L. Padoin, Márcio Castro, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Jean-François Méhaut:
Saving energy by exploiting residual imbalances on iterative applications. HiPC 2014: 1-10
[c13]
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Rafael Keller Tesser, Laércio Lima Pilla, Fabrice Dupros, Philippe Olivier Alexandre Navaux, Jean-François Méhaut, Celso L. Mendes:
Improving the Performance of Seismic Wave Simulations with Dynamic Load Balancing. PDP 2014: 196-203
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Eduardo Henrique Molina da Cruz, Matthias Diener, Marco A. Z. Alves, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux:
Optimizing Memory Locality Using a Locality-Aware Page Table. SBAC-PAD 2014: 198-205
2013
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  - conf/hpdc/RechPSNC13
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Paolo Rech, Laércio Lima Pilla, Francesco Silvestri, Philippe Olivier Alexandre Navaux, Luigi Carro:
Neutron sensitivity and software hardening strategies for matrix multiplication and FFT on graphics processing units. FTXS 2013: 13-20
2012
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Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Christiane Pousa Ribeiro, Pierre Coucheney, François Broquedis, Bruno Gaujal, Jean-François Méhaut:
Asymptotically Optimal Load Balancing for Hierarchical Multi-Core Systems. ICPADS 2012: 236-243
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Laércio Lima Pilla, Christiane Pousa Ribeiro, Daniel Cordeiro, Chao Mei, Abhinav Bhatele, Philippe Olivier Alexandre Navaux, François Broquedis, Jean-François Méhaut, Laxmikant V. Kalé:
A Hierarchical Approach for Load Balancing on Parallel Multi-core Systems. ICPP 2012: 118-127
2011
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Rodrigo da Rosa Righi, Lucas Graebin, Rafael Bohrer Ávila, Philippe Olivier Alexandre Navaux, Laércio Lima Pilla:
Combining Multiple Metrics to Control BSP Process Rescheduling in Response to Resource and Application Dynamics. ICPADS 2011: 72-79
[c7]
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  - conf/ispa/OsthoffGBKPNSPMDW11
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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
2010
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Alexandre Carissimi, Philippe Olivier Alexandre Navaux, Hans-Ulrich Heiss:
Supporting performance and adaptivity on BSP process rescheduling. ISCC 2010: 701-703
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  - conf/vecpar/RighiPCNH10
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Alexandre Carissimi, Philippe Olivier Alexandre Navaux, Hans-Ulrich Heiss:
Applying Process Migration on a BSP-Based LU Decomposition Application. VECPAR 2010: 314-326
2009
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Alexandre Carissimi, Philippe Olivier Alexandre Navaux, Hans-Ulrich Heiss:
MigBSP: A Novel Migration Model for Bulk-Synchronous Parallel Processes Rescheduling. HPCC 2009: 585-590
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Alexandre Carissimi, Philippe Olivier Alexandre Navaux, Hans-Ulrich Heiss:
Applying Processes Rescheduling over Irregular BSP Application. ICCS (1) 2009: 213-223
2008
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Alexandre Carissimi, Nicolas Maillard, Philippe Olivier Alexandre Navaux:
ICE: Managing Multiple Clusters Using Web Services. CSE 2008: 64-71
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Rodrigo da Rosa Righi, Laércio Lima Pilla, Alexandre Carissimi, Philippe Olivier Alexandre Navaux:
Controlling Processes Reassignment in BSP Applications. SBAC-PAD 2008: 37-44

Informal and Other Publications

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2022
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Laércio Lima Pilla:
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption. CoRR abs/2209.06210 (2022)
2020
[i2]
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  - journals/corr/abs-2005-10413
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Jonas H. Müller Korndörfer, Mario Bielert, Laércio Lima Pilla, Florina M. Ciorba:
Mapping Matters: Application Process Mapping on 3-D Processor Topologies. CoRR abs/2005.10413 (2020)
[i1]
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  - journals/corr/abs-2010-00239
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Laércio Lima Pilla:
Optimal Task Assignment to Heterogeneous Federated Learning Devices. CoRR abs/2010.00239 (2020)

Coauthor Index

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