The list below contains the publications that I have participated in. For more up-to-date information, please check my dblp or Google Scholar profiles.

Whenever the document or dataset was produced as part of the work of a young researcher that I supervised (i.e., interns, master’s students, PhD students, post-doctoral fellows), their name is shown in bold.

Journal articles

A. L. Nunes, C. Boeres, L. L. Pilla, and L. M. de A. Drummond, “MetaCS-FL: A Metaheuristic-Based Framework for Client Selection in Federated Learning Systems”, iin Future Generation Computer Systems, vol. 185, pp. 108707, December 2026. Online: Elsevier, HAL.

Y. Idouar, A. Cassagne, L. L. Pilla, J. Sopena, M. Bouyer, D. Orhan, L. Lacassagne, D. Galayko, D. Barthou, and C. Jégo, “Energy-aware scheduling strategies for partially-replicable task chains on heterogeneous processors”, in Parallel Computing, vol. 129, pp. 103206, September 2026. Online: Elsevier, HAL, arXiv.

O. Beaumont, R. Bouzel, L. Eyraud-Dubois, E. Korkmaz, L. L. Pilla, and A. van Kempen, “Approximation Algorithms for Scheduling With/Without Deadline Constraints Where Rejection Costs are Proportional to Processing Times”, in IEEE Transactions on Parallel and Distributed Systems, vol. 36, no. 12, December 2025. Online: IEEE, HAL.

D. Orhan, L. L. Pilla, D. Barthou, A. Cassagne, O. Aumage, R. Tajan, C. Jégo, and C. Leroux, “Optimal scheduling algorithms for software-defined radio pipelined and replicated task chains on multicore architectures”, Journal of Parallel and Distributed Computing, vol. 204, October 2025. Online: Elsevier, HAL.

L. Scravaglieri, L. L. Pilla, A. Guermouche, O. Aumage, E. Saillard, and M. Popov, “Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine Learning”, Journal of Parallel and Distributed Computing, vol. 180, October 2023. Online: Elsevier, HAL.

L. L. Pilla, “Scheduling Algorithms for Federated Learning with Minimal Energy Consumption”, in IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 4, April 2023. Online: IEEE, HAL.

M. Regragui, B. Coye, L. L. Pilla, R. Namyst, and D. Barthou, “SimSGamE : Scheduling simulator for modern game engines”, in Journal of Open Source Software, vol. 7, no. 76, pp. 4592, August 2022. Online: JOSS

R. Netto, S. Fabre, T. A. Fontana, V. Livramento, L. L. Pilla, L. Behjat, and J. L. Guntzel, “Algorithm Selection Framework for Legalization Using Deep Convolutional Neural Networks and Transfer Learning”, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 5, pp. 1481-1494, May 2022. Online: IEEE, HAL.

A. Santana, V. Freitas, M. Castro, L. L. Pilla, and J.-F. Méhaut, “ARTful: A specification for user-defined schedulers targeting multiple HPC runtime systems”, in Software: Practice and Experience, vol. 51, pp. 1622–1638. July 2021. Online: Wiley, HAL.

V. Freitas, L. L. Pilla, A. Santana, M. Castro, and J. Cohen, “PackStealLB: A Scalable Distributed Load Balancer based on Work Stealing and Workload Discretization”, in Journal of Parallel and Distributed Computing, vol. 150, pp. 35–45, April 2021. Online: Elsevier, HAL.

E. H. M. Cruz, M. Diener, L. L. Pilla, and P. O. A. Navaux, “Online Thread and Data Mapping Using a Sharing-Aware Memory Management Unit”, in ACM Transactions on Modeling and Performance Evaluation of Computing Systems, vol. 5, no. 4, article 16, 28 pages, January 2021. Online: ACM, HAL.

E. H. M. Cruz, M. Diener, L. L. Pilla, and P. O. A. Navaux, “EagerMap: A Task Mapping Algorithm to Improve Communication and Load Balancing in Clusters of Multicore Systems”, in ACM Transactions on Parallel Computing, vol. 5, no. 4, article 17, 24 pages, March 2019. Online: ACM, HAL.

M. Hinz, G. P. Koslovski, C. C. Miers, L. L. Pilla, and M. A. Pillon, “A Cost Model for IAAS Clouds based on Virtual Machine Energy Consumption”, in Journal of Grid Computing, vol. 16, no. 3, pp. 493–512, September 2018. Online: Springer.

A. S. Furtado, L. L. Pilla, and V. Bogorny, “A Branch and Bound Strategy for Fast Trajectory Similarity Measuring”, in Data and Knowledge Engineering, vol. 115, pp. 16–31, May 2018. Online: Elsevier.

R. da R. Righi, R. de Q. Gomes, V. F. Rodrigues, C. A. da Costa, A. M. Alberti, L. L. Pilla, and P. O. A. Navaux, “MigPF: Towards on self-organizing process rescheduling of Bulk-Synchronous Parallel applications”, in Future Generation Computer Systems, vol. 78, part 1, pp. 272–286, January 2018. Online: Elsevier.

E. H. M. Cruz, M. Diener, L. L. Pilla, and P. O. A. Navaux, “Hardware-Assisted Thread and Data Mapping in Hierarchical Multicore Architectures”, in ACM Transactions on Architecture and Code Optimization, vol. 13, no. 3, article 28, 28 pages, September 2016. Online: ACM.

E. H. M. Cruz, M. Diener, M. A. Z. Alves, L. L. Pilla, and P. O. A. Navaux, “LAPT: A locality-aware page table for thread and data mapping”, in Parallel Computing, vol. 54, pp. 59–71, May 2016. Online: Elsevier.

D. A. G. de Oliveira, L. L. Pilla, T. Santini, and P. Rech, “Evaluation and Mitigation of Radiation-Induced Soft Errors in Graphics Processing Units”, in IEEE Transactions on Computers, vol. 65, no. 3, pp. 791–804, March 2016. Online: IEEE.

L. L. Pilla, D. A. G. Oliveira, C. Lunardi, P. O. A. Navaux, L. Carro, and P. Rech, “Memory Access Time and Input Size Effects on Parallel Processors Reliability”, in IEEE Transactions on Nuclear Science, vol. 62, no. 6, pp. 2627–2634, December 2015. Online: IEEE.

L. L. Pilla, T. C. Bozzetti, M. Castro, P. O. A. Navaux, and J.-F. Méhaut, “ComprehensiveBench: a Benchmark for the Extensive Evaluation of Global Scheduling Algorithms”, in Journal of Physics: Conference Series, vol. 649, conf. 1, 12 pages, October 2015. Online: IOP, HAL.

M. Diener, E. H. M. Cruz, L. L. Pilla, F. Dupros, and P. O. A. Navaux, “Characterizing communication and page usage of parallel applications for thread and data mapping”, in Performance Evaluation, vol. 88-89, pp. 18–36, June 2015. Online: Elsevier.

E. L. Padoin, L. L. Pilla, M. Castro, F. Z. Boito, P. O. A. Navaux, and J.-F. Méhaut, “Performance/energy trade-off in scientific computing: the case of ARM big.LITTLE and Intel Sandy Bridge”, in IET Computers & Digital Techniques, vol. 9, no. 1, pp. 27–35, January 2015. Online: IET.

L. L. Pilla, P. Rech, F. Silvestri, C. Frost, P. O. A. Navaux, M. Sonza Reorda, and L. Carro, “Software-Based Hardening Strategies for Neutron Sensitive FFT Algorithms on GPUs”, in IEEE Transactions on Nuclear Science, vol. 61, no. 4, pp. 1874–1880, August 2014. Online: IEEE.

L. L. Pilla, C. P. Ribeiro, P. Coucheney, F. Broquedis, B. Gaujal, P. O. A. Navaux, and J.-F. Méhaut, “A topology-aware load balancing algorithm for clustered hierarchical multi-core machines”, in Future Generation Computer Systems, vol. 30, pp. 191–201, January 2014. Online: Elsevier.

E. L. Padoin, L. L. Pilla, F. Z. Boito, R. V. Kassick, P. Velho, and P. O. A. Navaux, “Evaluating application performance and energy consumption on hybrid CPU+GPU architecture”, in Cluster Computing, vol. 16, no. 3, pp 511–525, September 2013. Online: Springer.

C. Osthoff, F. Z. Boito, R. V. Kassick, L. L. Pilla, P. O. A. Navaux, C. Schepke, J. Panetta, P. J. Grunmann, N. Maillard, P. L. S. Dias, and R. L. Walko, “Atmospheric models hybrid OpenMP/MPI implementation multicore cluster evaluation”, in International Journal of Information Technology, Communications and Convergence, vol. 2, no. 3, pp. 212–233, November 2012. Online: Inderscience.

R. da R. Righi, L. L. Pilla, N. Maillard, A. Carissimi, and P. O. A. Navaux, “Observing the impact of multiple metrics and runtime adaptations on BSP process rescheduling”, in Parallel Processing Letters, vol. 20, no. 2, pp. 123–144, June 2010. Online: World Scientific.

Conference and workshop papers

F. Boito, L. Teylo, M. Popov, L. Aimi, A. Bandet, L. L. Pilla, and G. Pallez, “TOTO: Transparent I/O Tuning for HPC Applications”, in International Conference on Supercomputing (ICS), July 2026. Online: ACM, HAL.

N. Vanz, V. Munhoz, M. Castro, L. L. Pilla, and O. Aumage, “Task-Based HPC in the Cloud: Price-Performance Analysis of N-Body Simulations with StarPU”, in 2025 IEEE International Conference on Cloud Engineering (IC2E), September 2025. Online: IEEE, HAL.

A. Torri, P. Dominikowski, B. Pointal, O. Kaya, L. L. Pilla, and O. Coulaud, “Near-Optimal Contraction Strategies for the Scalar Product in the Tensor-Train Format”, in European Conference on Parallel Processing (Euro-Par), August 2025. Online: Springer, HAL.

D. Orhan, Y. Idouar, L. L. Pilla, A. Cassagne, D. Barthou, and C. Jégo, “Scheduling Strategies for Partially-Replicable Task Chains on Two Types of Resources”, in 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) – Heterogeneity in Computing Workshop (HCW), June 2025. Online: IEEE, HAL.

A. L. Nunes, C. Boeres, L. M. A. Drummond, and L. L. Pilla, “Optimal Time and Energy-Aware Client Selection Algorithms for Federated Learning on Heterogeneous Resources”, in 2024 IEEE 36th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), November 2024. Online: IEEE, HAL.

O. Beaumont, R. Bouzel, L. Eyraud-Dubois, E. Korkmaz, L. L. Pilla, and A. van Kempen, “A 1.25(1+ϵ)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times”, in European Conference on Parallel Processing (Euro-Par), pp. 225–238, August 2024. Online: Springer, HAL.

M. Regragui, B. Coye, L. L. Pilla, R. Namyst, and D. Barthou, “Exploring scheduling algorithms for parallel task graphs: a modern game engine case study”, in European Conference on Parallel Processing (Euro-Par), pp. 103–118, August 2022. Online: Springer, HAL.

L. L. Pilla, “Optimal Task Assignment for Heterogeneous Federated Learning Devices”, in 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 661–670, May 2021. Online: IEEE, HAL.

J. H. M. Korndörfer, M. Bielert, L. L. Pilla, and F. M. Ciorba, “Mapping Matters: Application Process Mapping on 3-D Processor Topologies”, to be published in the 2020 International Conference on High Performance Computing & Simulation (HPCS) 2021. Online: HAL.

A. V. C. R. Oikawa, V. Freitas, M. Castro, and L. L. Pilla, “Adaptive Load Balancing based on Machine Learning for Iterative Parallel Applications”, in 28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp. 94–101, March 2020. Online: IEEE, HAL.

V. Freitas, A. Santana, M. Castro, and L. L. Pilla, “Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling”, in International Conference on High Performance Computing & Simulation (HPCS), pp. 787–794, July 2019. Online: IEEE, HAL.

F. Z. Boito, R. Nou, L. L. Pilla, J. L. Bez, J.-F. Méhaut, T. Cortes, and P. O. A. Navaux, “On server-side file access pattern matching”, in International Conference on High Performance Computing & Simulation (HPCS), pp. 217–224, July 2019. Online: IEEE, HAL.

R. Netto, S. Fabre, T. Fontana, V. Livramento, L. L. Pilla, and J. L. Güntzel, “How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization”, in Proceedings of the 2019 International Symposium on Physical Design (ISPD), pp 3–10, April 2019. Online: IEEE, HAL.

V. Freitas, A. Santana, M. Castro, and L. L. Pilla, *“A Batch Task Migration Approach for Decentralized Global Rescheduling”**, in Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), pp. 49–56, September 2018. Online: IEEE, HAL.

A. Santana, V. Freitas, L. L. Pilla, M. Castro, and J.-F. Méhaut, “Reducing Global Schedulers’ Complexity Through Runtime System Decoupling”, in Proceedings of the 2018 Symposium on High Performance Computing Systems (WSCAD), pp.38–44, September 2018. Online: IEEE, HAL.

S. Fabre, J. L. Güntzel, L. L. Pilla, R. Netto, T. Fontana, and V. Livramento, “Enhancing Multi-Threaded Legalization Through k-d Tree Circuit Partitioning”, in Proceedings of the 31st Symposium on Integrated Circuits and Systems Design (SBCCI), pp. 1–6, August 2018. Online: IEEE, HAL.

E. Cruz, M. Diener, M. Serpa, P. Navaux, L. L. Pilla, and I. Koren, “Improving Communication and Load Balancing with Thread Mapping in Manycore Systems”, in 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp. 93–100, March 2018. Online: IEEE.

D. Oliveira, L. L. Pilla, N. DeBardeleben, S. Blanchard, H. Quinn, I. Koren, P. Navaux, and P. Rech, “Experimental and analytical study of Xeon Phi reliability”, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), article 28, 12 pages, November 2017. Online: ACM.

T. Fontana, S. Almeida, R. Netto, V. Livramento, C. Guth, L. L. Pilla, and J. L. Güntzel, “Exploiting cache locality to speedup register clustering”, in Proceedings of the 30th Symposium on Integrated Circuits and Systems Design: Chip on the Sands (SBCCI), pp. 191–197, September 2017. Online: ACM.

T. Fontana, R. Netto, V. Livramento, C. Guth, S. Almeida, L. L. Pilla, and J. L. Güntzel, “How Game Engines Can Inspire EDA Tools Development: A use case for an open-source physical design library”, in Proceedings of the 2017 ACM on International Symposium on Physical Design (ISPD), pp. 25–31, March 2017. Online: ACM.

D. A. G. de Oliveira, L. L. Pilla, M. Hanzich, V. Fratin, F. Fernandes, C. Lunardi, J. M. Cela, P. O. A. Navaux, L. Carro, and P. Rech, “Radiation-Induced Error Criticality in Modern HPC Parallel Accelerators”, in IEEE International Symposium on High Performance Computer Architecture (HPCA), pp. 577–588, February 2017. Online: IEEE.

R. Netto, C. Guth, V. Livramento, M. Castro, L. L. Pilla, and J. L. Güntzel, “Exploiting parallelism to speed up circuit legalization”, in IEEE International Conference on Electronics, Circuits and Systems (ICECS), pp. 624–627, December 2016. Online: IEEE.

R. C. De Moura, G. O. Torres, M. L. Pilla, L. L. Pilla, A. T. Da Costa, and F. M. G. França, “Value Reuse Potential in ARM Architectures”, in 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), pp. 174–181, October 2016. Online: IEEE.

E. L. Padoin, L. L. Pilla, M. Castro, P. O. A. Navaux, and J.-F. Méhaut, “Exploration of Load Balancing Thresholds to Save Energy on Iterative Applications”, in Third Latin American Conference in High Performance Computing (CARLA), pp. 76–88, September 2016. Online: Springer.

E. H. M. Cruz, M. Diener, L. L. Pilla, and P. O. A. Navaux, “A Sharing-Aware Memory Management Unit for Online Mapping in Multi-core Architectures”, in 22nd International Conference on Parallel and Distributed Computing (Euro-Par), pp. 490–501, August 2016. Online: Springer.

D. A. G. de Oliveira, L. L. Pilla, C. Lunardi, L. Carro, P. O. A. Navaux, and Paolo Rech, “The Path to Exascale: Code Optimizations and Hardening Solutions Reliability”, in Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), pp. 55–62, June 2015. Online: ACM.

E. H. M. Cruz, M. Diener, L. L. Pilla, and P. O. A. Navaux, “An Efficient Algorithm for Communication-Based Task Mapping”, in 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp. 207–214, March 2015. Online: IEEE.

E. L. Padoin, M. Castro, L. L. Pilla, P. O. A. Navaux, and J. F. Méhaut, “Saving energy by exploiting residual imbalances on iterative applications”, in 21st International Conference on High Performance Computing (HiPC), 10 pages, December 2014. Online: IEEE, HAL.

D. A. G. Oliveira, P. Rech, L. L. Pilla, P. O. A. Navaux and L. Carro, “GPGPUs ECC efficiency and efficacy”, in IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), pp. 209–215, October 2014. Online: IEEE.

E. H. M. Cruz, M. Diener, M. A. Z. Alves, L. L. Pilla, and P. O. A. Navaux, “Optimizing Memory Locality Using a Locality-Aware Page Table”, in IEEE 26th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), pp. 198–205, October 2014. Online: IEEE.

D. A. G. Oliveira, C. B. Lunardi, L. L. Pilla, P. Rech, P. O. A. Navaux, and L. Carro, “Radiation Sensitivity of High Performance Computing Applications on Kepler-Based GPGPUs”, in 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp. 732–737, June 2014. Online: IEEE.

P. Rech, L. L. Pilla, P. O. A. Navaux, and L. Carro, “Impact of GPUs Parallelism Management on Safety-Critical and HPC Applications Reliability”, in 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp. 455–466, June 2014. Online: IEEE.

R. K. Tesser, L. L. Pilla, F. Dupros, P. O. A. Navaux, J. F. Méhaut, and C. Mendes, “Improving the Performance of Seismic Wave Simulations with Dynamic Load Balancing”, 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pp. 196–203, February 2014. Online: IEEE.

L. L. Pilla, P. O. A. Navaux, C. P. Ribeiro, P. Coucheney, F. Broquedis, B. Gaujal, and J.-F. Méhaut, “Asymptotically Optimal Load Balancing for Hierarchical Multi-Core Systems”, in IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS), pp. 236–243, December 2012. Online: IEEE.

L. L. Pilla, C. P. Ribeiro, D. Cordeiro, C. Mei, A. Bhatele, P. O. A. Navaux, F. Broquedis, J.-F. Méhaut, and L. V. Kale, “A Hierarchical Approach for Load Balancing on Parallel Multi-core Systems”, in 41st International Conference on Parallel Processing (ICPP), pp. 118–127, September 2012. Online: IEEE.

R. da R. Righi, L. Graebin, R. B. Avila, P. O. A. Navaux, and L. L. Pilla, “Combining Multiple Metrics to Control BSP Process Rescheduling in Response to Resource and Application Dynamics”, in IEEE 17th International Conference on Parallel and Distributed Systems (ICPADS), pp. 72–79, December 2011. Online: IEEE.

C. Osthoff, P. Grunmann, F. Boito, R. Kassick, L. L. Pilla, P. O. A. Navaux, C. Schepke, J. Panetta, N. Maillard, P. L. S. Dias, and R. Walko, “Improving Performance on Atmospheric Models through a Hybrid OpenMP/MPI Implementation”, in IEEE Ninth International Symposium on Parallel and Distributed Processing with Applications (ISPA), pp. 69–74, May 2011. Online: IEEE.

R. da R. Righi, L. L. Pilla, A. Carissimi, P. O. A. Navaux, and H.-U. Heiss, “Applying Process Migration on a BSP-Based LU Decomposition Application”, in 9th International Conference on High Performance Computing for Computational Science (VECPAR), pp. 314–326, June 2010. Online: Springer.

R. da R. Righi, L. L. Pilla, A. Carissimi, P. O. A. Navaux and, H.-U. Heiss, “MigBSP: A Novel Migration Model for Bulk-Synchronous Parallel Processes Rescheduling”, in 11th IEEE International Conference on High Performance Computing and Communications (HPCC), pp. 585–590, June 2009. Online: IEEE.

R. da R. Righi, L. L. Pilla, A. Carissimi, P. O. A. Navaux, and H.-U. Heiss, “Applying Processes Rescheduling over Irregular BSP Application”, in 9th International Conference on Computational Science (ICCS), pp. 213–223, May 2009. Online: Springer.

R. da R. Righi, L. L. Pilla, A. Carissimi, and P. O. A. Navaux, “Controlling Processes Reassignment in BSP Applications”, in 20th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), pp. 37–44, November 2008. Online: IEEE.

R. Righi, L. L. Pilla, A. Carissimi, N. Maillard, and P. O. A. Navaux, “ICE: Managing Multiple Clusters Using Web Services”, in 11th IEEE International Conference on Computational Science and Engineering (CSE), pp. 64–71, July 2008. Online: IEEE.

Book chapters

A. V. Schmidt, F. Z. Boito, and L. L. Pilla, “Fundamentos de Estatística para Análise de Desempenho”, in Anais da XVII Escola Regional de Alto Desempenho (ERAD/RS), editors E. L. Padoin, M. C. Cera and A. S. Charao, vol. 17, chapter 1, pp. 3-24, Sociedade Brasileira de Computação, 2017.

L. L. Pilla, and E. Meneses, “Programação Paralela em Charm++”, in Anais da XV Escola Regional de Alto Desempenho (ERAD/RS), editors C. de Rose, M. Pasin and L. M. Schnorr, vol. 15, chapter 2, pp. 25-44, Sociedade Brasileira de Computação, 2015.

C. Osthoff, R. P. Souto, F. Vilasbôas, P. Grunmann, P. L. S. Dias, F. Z. Boito, R. V. Kassick, L. L. Pilla, P. O. A. Navaux, C. Schepke, N. Maillard, J. Panetta, P. P. Lopes, and R. Walko, “Improving Atmospheric Model Performance on a Multi-Core Cluster System”, in Atmospheric Model Applications, editor I. Yucel, vol. 1, chapter 1, pp. 1-24, InTech Europe, 2012.

P. O. A. Navaux, C. de Rose, and L. L. Pilla, “Fundamentos das Arquiteturas para Processamento Paralelo e Distribuído”, in Anais da XI Escola Regional de Alto Desempenho (ERAD/RS), editors N. Maillard, C. de Rose, A. M. S. Adario, B. G. Apel and S. D. K Mor, vol. 11, chapter 2, pp. 22-59, Sociedade Brasileira de Computação, 2011.

R. da R. Righi, L. L. Pilla, N. Maillard, A. Carrisimi and P. O. A. Navaux, “Process Rescheduling: Enabling Performance by Applying Multiple Metrics and Efficient Adaptations”, in Future Manufacturing Systems, editor Tauseef Aized, vol. 1, chapter 3, pp. 39-64, Sycio, 2010.

Datasets

O. Beaumont, L. Eyraud-Dubois, E. Korkmaz, and L. L. Pilla, “Experimental codes and results for the paper “A 5/4(1+ϵ)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times””, March 2024. Online: HAL.

L. L. Pilla, “llpilla/energy-optimal-federated-learning: Full set of algorithms: (MC)2 MKP, MarIn, MarCo, MarDec, and MarDecUn”, November 2022. Online: Zenodo.

M. Regragui, B. Coye, L. L. Pilla, R. Namyst, and D. Barthou, “Performance results of different scheduling algorithms used in the simulation of a modern game engine”, May 2022. Online: Zenodo.

L. L. Pilla, and V. Freitas, “Performance results of LeanMD on the Joliot-Curie supercomputer using different load balancing algorithms”, June 2020. Online: Zenodo

Technical reports and pre-prints

A. L. Nunes, C. Boeres, L. M. de A. Drummond, and L. L. Pilla, “A Reliability-Aware Client Selection Framework for Federated Learning on Heterogeneous Resources under Dynamic Availability”, June 2026. Online: HAL.

L. L. Pilla, “Optimal Workload Scheduling Algorithm for Data-Parallel Applications on Heterogeneous Platforms based on Dynamic Programming”, October 2022. Online: HAL

L. L. Pilla, “Basics of Vectorization for Fortran Applications”, January 2018. Online: HAL.