Márcio Castro

62 papers A* 1A 1B 2C 8Misc 7Journal 23Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performance and Cost Evaluation of StarPU on AWS: Case Studies With Dense Linear Algebra Kernels and N-Body Simulations. Concurr. Comput. Pract. Exp. Vanderlei Munhoz, Vinícius Garcia Pinto, João V. F. Lima, Márcio Castro, Daniel Cordeiro, Emilio Francesquini
2025	J	`jnl`	A Canonical Test Representation for Verification of Shared-Memory Behavior in Multiprocessor Systems. ACM Trans. Design Autom. Electr. Syst. Bruno D. Miranda, Márcio Castro, Luiz Cláudio Villar dos Santos
2025	J	`jnl`	Dynamic Load Balancing in Kubernetes Environments With Kubernetes Scheduling Extension (KSE). Concurr. Comput. Pract. Exp. Pedro Moritz de Carvalho Neto, Márcio Castro, Frank Siqueira
2025	A*	`conf`	Multicore Environment State Representation for Agent-Directed Test Generation. DAC Bruno D. Miranda, Luiz M. V. Pereira, Márcio Castro, Luiz C. V. dos Santos
2025	—	`conf`	Performance and Cost Analysis of AWS Burstable Instances for HPC with NAS Parallel Benchmarks. SBAC-PADW Artur Luiz Rizzato Toru Soda, Vanderlei Munhoz Pereira Filho, Márcio Castro
2025	B	`conf`	Task-Based HPC in the Cloud: Price-Performance Analysis of N-Body Simulations with StarPU. IC2E Nicolas Vanz, Vanderlei Munhoz, Márcio Castro, Laércio Lima Pilla, Olivier Aumage
2024	—	`conf`	Detecting Fraud in Public Procurement: A GMM-Based Approach to Analyzing Tender Data. SBBD Fernando Augusto Schmitz, Lívia Ferrão, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho
2024	J	`jnl`	Enabling the execution of HPC applications on public clouds with Concurr. Comput. Pract. Exp. Vanderlei Munhoz, Márcio Castro
2024	J	`jnl`	Improving edge AI for industrial IoT applications with distributed learning using consensus. Des. Autom. Embed. Syst. Samuel Amico Fidelis, Márcio Castro, Frank Siqueira
2024	—	`conf`	Performance Variability of Machine Learning Models using Limited Data for Collusion Detection: A Case Study of the Brazilian Car Wash Operation. SBBD Everton Schneider dos Santos, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho
2023	—	`conf`	A Performance Comparison of HPC Workloads on Traditional and Cloud-Based HPC Clusters. SBAC-PADW Vanderlei Munhoz, Antoine Bonfils, Márcio Castro, Odorico M. Mendizabal
2023	J	`jnl`	Improving concurrency and memory usage in distributed operating systems for lightweight manycores via cooperative time-sharing lightweight tasks. J. Parallel Distributed Comput. João Vicente Souto, Márcio Castro
2023	J	`jnl`	LWMPI: An MPI library for NoC-based lightweight manycore processors with on-chip memory constraints. Concurr. Comput. Pract. Exp. João Fellipe Uller, João Vicente Souto, Pedro Henrique Penna, Márcio Castro, Henrique Cota de Freitas, Jean-François Méhaut
2023	—	`conf`	Message from the Workshop Organizers WCC 2023. SBAC-PADW Márcio Castro, Philippe O. A. Navaux
2022	—	`conf`	Distributed Learning using Consensus on Edge AI. SBESC Samuel Amico Fidelis, Márcio Castro, Frank Siqueira
2022	C	`conf`	Strategies for Fault-Tolerant Tightly-Coupled HPC Workloads Running on Low-Budget Spot Cloud Infrastructures. SBAC-PAD Vanderlei Munhoz, Márcio Castro, Odorico M. Mendizabal
2021	C	`conf`	A Task-based Execution Engine for Distributed Operating Systems Tailored to Lightweight Manycores with Limited On-Chip Memory. SBAC-PAD João Vicente Souto, Márcio Castro, Pedro Henrique Penna
2021	Misc	`conf`	A trace-driven methodology to evaluate and optimize memory management services of distributed operating systems for lightweight manycores. SAC Emmanuel Podestá Junior, Pedro Henrique Penna, João Fellipe Uller, Márcio Castro
2021	J	`jnl`	ARTful: A model for user-defined schedulers targeting multiple high-performance computing runtime systems. Softw. Pract. Exp. Alexandre de Limas Santana, Vinicius Freitas, Márcio Castro, Laércio Lima Pilla, Jean-François Méhaut
2021	J	`jnl`	Co-Designing Clusters of Lightweight Manycores and Asymmetric Operating System Kernels. IEEE Embed. Syst. Lett. Pedro Henrique Penna, Lucas Andrade Maciel, João Vicente Souto, Davidson Francis Lima, Márcio Castro, François Broquedis, Henrique Cota de Freitas, Jean-François Méhaut
2021	J	`jnl`	Dynamic power management under the RUN scheduling algorithm: a slack filling approach. Real Time Syst. Lais Borin, George Lima, Márcio Castro, Patricia Della Méa Plentz
2021	J	`jnl`	Inter-kernel communication facility of a distributed operating system for NoC-based lightweight manycores. J. Parallel Distributed Comput. Pedro Henrique Penna, João Vicente Souto, João Fellipe Uller, Márcio Castro, Henrique C. Freitas, Jean-François Méhaut
2021	J	`jnl`	PackStealLB: A scalable distributed load balancer based on work stealing and workload discretization. J. Parallel Distributed Comput. Vinicius Freitas, Laércio Lima Pilla, Alexandre de Limas Santana, Márcio Castro, Johanne Cohen
2020	C	`conf`	Adaptive Load Balancing based on Machine Learning for Iterative Parallel Applications. PDP C. R. Anna Victoria Oikawa, Vinicius Freitas, Márcio Castro, Laércio Lima Pilla
2019	J	`jnl`	A comprehensive performance evaluation of the BinLPT workload-aware loop scheduler. Concurr. Comput. Pract. Exp. Pedro Henrique Penna, Antônio Tadeu A. Gomes, Márcio Castro, Patricia Della Méa Plentz, Henrique C. Freitas, François Broquedis, Jean-François Méhaut
2019	J	`jnl`	Detection of fraud in public procurement using data-driven methods: a systematic mapping study. EPJ Data Sci. Everton Schneider dos Santos, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho
2019	—	`conf`	Distributed Memory Graph Representation for Load Balancing Data: Accelerating Data Structure Generation for Decentralized Scheduling. HPCS Vinicius Freitas, Alexandre de Limas Santana, Márcio Castro, Laércio Lima Pilla
2019	J	`jnl`	Foreword to the special issue of the workshop on high performance computing systems (XVIII Simpósio em Sistemas Computacionais de Alto Desempenho, WSCAD 2017). Concurr. Comput. Pract. Exp. César A. F. De Rose, Márcio Castro
2019	—	`conf`	On the Performance and Isolation of Asymmetric Microkernel Design for Lightweight Manycores. SBESC Pedro Henrique Penna, João Vicente Souto, Davidson Francis Lima, Márcio Castro, François Broquedis, Henrique C. Freitas, Jean-François Méhaut
2019	J	`jnl`	Real-time video denoising on multicores and GPUs with Kalman-based and Bilateral filters fusion. J. Real Time Image Process. Sergio G. Pfleger, Patricia Della Méa Plentz, Rodrigo C. O. Rocha, Alyson D. Pereira, Márcio Castro
2018	C	`conf`	A Batch Task Migration Approach for Decentralized Global Rescheduling. SBAC-PAD Vinicius Freitas, Alexandre de Limas Santana, Márcio Castro, Laércio Lima Pilla
2018	—	`conf`	Energy Efficient Stencil Computations on the Low-Power Manycore MPPA-256 Processor. Euro-Par Emmanuel Podestá Jr., Bruno Marques do Nascimento, Márcio Castro
2018	—	`conf`	Reducing Global Schedulers Complexity through Runtime System Decoupling. WSCAD Alexandre de Limas Santana, Vinicius Freitas, Laércio Lima Pilla, Márcio Castro, Jean-François Méhaut
2017	Misc	`conf`	Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads. ICCS Pedro Henrique Penna, Eduardo C. Inacio, Márcio Castro, Patricia Della Méa Plentz, Henrique C. Freitas, François Broquedis, Jean-François Méhaut
2017	—	`conf`	Automatic Partitioning of Stencil Computations on Heterogeneous Systems. SBAC-PAD (Workshops) Alyson D. Pereira, Rodrigo C. O. Rocha, Luiz Ramos, Márcio Castro, Luís F. W. Góes
2017	J	`jnl`	CAP Bench: a benchmark suite for performance and energy evaluation of low-power many-core processors. Concurr. Comput. Pract. Exp. Matheus Alcântara Souza, Pedro Henrique Penna, Matheus M. Queiroz, Alyson D. Pereira, Luís Fabrício Wanderley Góes, Henrique C. Freitas, Márcio Castro, Philippe O. A. Navaux, Jean-François Méhaut
2017	J	`jnl`	Design methodology for workload-aware loop scheduling strategies based on genetic algorithm and simulation. Concurr. Comput. Pract. Exp. Pedro Henrique Penna, Márcio Castro, Henrique C. Freitas, François Broquedis, Jean-François Méhaut
2017	Misc	`conf`	Enabling efficient stencil code generation in OpenACC. ICCS Alyson D. Pereira, Rodrigo C. O. Rocha, Márcio Castro, Luís F. W. Góes, Mario A. R. Dantas
2017	—	`conf`	Extending OpenACC for Efficient Stencil Code Generation and Execution by Skeleton Frameworks. HPCS Alyson D. Pereira, Márcio Castro, Mario A. R. Dantas, Rodrigo C. O. Rocha, Luís F. W. Góes
2017	Misc	`conf`	Performance Improvement of Stencil Computations for Multi-core Architectures based on Machine Learning. ICCS Víctor Martínez, Fabrice Dupros, Márcio Castro, Philippe Olivier Alexandre Navaux
2017	B	`conf`	Provisioning and Delivering Sepsis Data Supported by an Enhanced SDN Environment. CBMS Felipe Volpato, Madalena Pereira da Silva, Alexandre Leopoldo Gonçalves, Márcio Castro, Mário Antônio Ribeiro Dantas
2017	—	`conf`	Towards the Use of LITMUS RT as a Testbed for Multiprocessor Scheduling in Energy Harvesting Real-Time Systems. SBESC Lais Borin, Márcio Castro, Patricia Della Méa Plentz
2016	—	`conf`	A Low-Cost Energy-Efficient Raspberry Pi Cluster for Data Mining Algorithms. Euro-Par Workshops João Saffran, Gabriel Garcia, Matheus Alcântara Souza, Pedro Henrique Penna, Márcio Castro, Luís F. W. Góes, Henrique C. Freitas
2016	—	`conf`	Exploiting parallelism to speed up circuit legalization. ICECS Renan Netto, Chrystian Guth, Vinicius S. Livramento, Márcio Castro, Laércio Lima Pilla, José Luís Güntzel
2016	—	`conf`	Exploration of Load Balancing Thresholds to Save Energy on Iterative Applications. CARLA Edson L. Padoin, Laércio Lima Pilla, Márcio Castro, Philippe O. A. Navaux, Jean-François Méhaut
2016	J	`jnl`	Seismic wave propagation simulations on low-power and performance-centric manycores. Parallel Comput. Márcio Castro, Emilio Francesquini, Fabrice Dupros, Hideo Aochi, Philippe O. A. Navaux, Jean-François Méhaut
2015	J	`jnl`	On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms. J. Parallel Distributed Comput. Emilio Francesquini, Márcio Castro, Pedro Henrique Penna, Fabrice Dupros, Henrique C. Freitas, Philippe Olivier Alexandre Navaux, Jean-François Méhaut
2015	J	`jnl`	Performance/energy trade-off in scientific computing: the case of ARM big.LITTLE and Intel Sandy Bridge. IET Comput. Digit. Tech. Edson L. Padoin, Laércio Lima Pilla, Márcio Castro, Francieli Zanon Boito, Philippe Olivier Alexandre Navaux, Jean-François Méhaut
2014	J	`jnl`	Adaptive thread mapping strategies for transactional memory applications. J. Parallel Distributed Comput. Márcio Castro, Luís Fabrício Wanderley Góes, Jean-François Méhaut
2014	J	`jnl`	Automatic Skeleton-Driven Memory Affinity for Transactional Worklist Applications. Int. J. Parallel Program. Luís Fabrício Wanderley Góes, Christiane Pousa Ribeiro, Márcio Castro, Jean-François Méhaut, Murray Cole, Marcelo Cintra
2014	C	`conf`	Energy Efficient Seismic Wave Propagation Simulation on a Low-Power Manycore Processor. SBAC-PAD Márcio Castro, Fabrice Dupros, Emilio Francesquini, Jean-François Méhaut, Philippe Olivier Alexandre Navaux
2014	C	`conf`	Evaluating the Impact of Transactional Characteristics on the Performance of Transactional Memory Applications. PDP Fernando Rui, Márcio Castro, Dalvan Griebler, Luiz Gustavo Fernandes
2014	Misc	`conf`	Saving energy by exploiting residual imbalances on iterative applications. HiPC Edson L. Padoin, Márcio Castro, Laércio Lima Pilla, Philippe Olivier Alexandre Navaux, Jean-François Méhaut
2013	—	`conf`	Analysis of computing and energy performance of multicore, NUMA, and manycore platforms for an irregular application. IA3@SC Márcio Castro, Emilio Francesquini, Thomas Messi Nguélé, Jean-François Méhaut
2012	—	`conf`	Dynamic Thread Mapping Based on Machine Learning for Transactional Memory Applications. Euro-Par Márcio Castro, Luís Fabrício Wanderley Góes, Luiz Gustavo Fernandes, Jean-François Méhaut
2012	—	`—`	Optimisation de la performance des applications de mémoire transactionnelle sur des plates-formes multicoeurs : une approche basée sur l'apprentissage automatique. (Improving the Performance of Transactional Memory Applications on Multicores : A Machine Learning-based Approach). Márcio Castro
2011	Misc	`conf`	A machine learning-based approach for thread mapping on transactional memory applications. HiPC Márcio Castro, Luís Fabrício Wanderley Góes, Christiane Pousa Ribeiro, Murray Cole, Marcelo Cintra, Jean-François Méhaut
2011	C	`conf`	Analysis and Tracing of Applications Based on Software Transactional Memory on Multicore Architectures. PDP Márcio Castro, Kiril Georgiev, Vania Marangozova-Martin, Jean-François Méhaut, Luiz Gustavo Fernandes, Miguel Santana
2010	—	`conf`	Improving Memory Affinity of Geophysics Applications on NUMA Platforms Using Minas. VECPAR Christiane Pousa Ribeiro, Márcio Castro, Jean-François Méhaut, Alexandre Carissimi
2009	C	`conf`	Memory Affinity for Hierarchical Shared Memory Multiprocessors. SBAC-PAD Christiane Pousa Ribeiro, Jean-François Méhaut, Alexandre Carissimi, Márcio Castro, Luiz Gustavo Fernandes
2009	A	`conf`	NUMA-ICTM: A parallel version of ICTM exploiting memory placement strategies for NUMA machines. IPDPS Márcio Castro, Luiz Gustavo Fernandes, Christiane Pousa Ribeiro, Jean-François Méhaut, Marilton Sanchotene de Aguiar
2006	Misc	`conf`	High performance XSL-FO rendering for variable data printing. SAC Fabio Giannetti, Luiz Gustavo Fernandes, Rogerio Timmers, Thiago Nunes, Mateus Raeder, Márcio Castro