Design of Interleaved Multithreading for Network Processors on Chip. - Henrique C. Freitas; Felipe Lopes Madruga; Marco A. Z. Alves; Philippe Olivier Alexandre Navaux (ISCAS, 2009)

Performance Evaluation of NoC Architectures for Parallel Workloads. - Henrique C. Freitas; Marco A. Z. Alves; Lucas Mello Schnorr; Philippe Olivier Alexandre Navaux (NOCS, 2009)

Evaluating Thread Placement Based on Memory Access Patterns for Multi-core Processors. - Matthias Diener; Felipe Lopes Madruga; Eduardo Rocha Rodrigues; Marco A. Z. Alves; Jörg Schneider 001; Philippe Olivier Alexandre Navaux; Hans-Ulrich Heiss (HPCC, 2010)

TLP and ILP exploitation through a reconfigurable multiprocessor system. - Mateus B. Rutzig; Felipe Lopes Madruga; Marco A. Z. Alves; Henrique Cota de Freitas; Antonio Carlos Schneider Beck; Nicolas Maillard; Philippe Olivier Alexandre Navaux; Luigi Carro (IPDPS Workshops, 2010)

Impact of Parallel Workloads on NoC Architecture Design. - Henrique Cota de Freitas; Lucas Mello Schnorr; Marco Antonio Zanata Alves; Philippe Olivier Alexandre Navaux (PDP, 2010)

Using Memory Access Traces to Map Threads and Data on Hierarchical Multi-core Platforms. - Eduardo Henrique Molina da Cruz; Marco Antonio Zanata Alves; Alexandre Carissimi; Philippe Olivier Alexandre Navaux; Christiane Pousa Ribeiro; Jean-François Méhaut (IPDPS Workshops, 2011)

Boosting Parallel Applications Performance on Applying DIM Technique in a Multiprocessing Environment. - Mateus B. Rutzig; Antonio Carlos Schneider Beck; Felipe Lopes Madruga; Marco A. Z. Alves; Henrique C. Freitas; Nicolas Maillard; Philippe Olivier Alexandre Navaux; Luigi Carro (Int. J. Reconfigurable Comput., 2011)

High Latency and Contention on Shared L2-Cache for Many-Core Architectures. - Marco A. Z. Alves; Henrique C. Freitas; Philippe Olivier Alexandre Navaux (Parallel Process. Lett., 2011)

Energy Savings via Dead Sub-Block Prediction. - Marco A. Z. Alves; Khubaib; Eiman Ebrahimi; Veynu Narasiman; Carlos Villavieja; Philippe Olivier Alexandre Navaux; Yale N. Patt (SBAC-PAD, 2012)

Memory-aware Thread and Data Mapping for Hierarchical Multi-core Platforms. - Eduardo Henrique Molina da Cruz; Marco Antonio Zanata Alves; Alexandre Carissimi; Philippe Olivier Alexandre Navaux; Christiane Pousa Ribeiro; Jean-François Méhaut (Int. J. Netw. Comput., 2012)

Energy Efficient Last Level Caches via Last Read/Write Prediction. - Marco A. Z. Alves; Carlos Villavieja; Matthias Diener; Philippe Olivier Alexandre Navaux (SBAC-PAD, 2013)

Optimizing Memory Locality Using a Locality-Aware Page Table. - Eduardo Henrique Molina da Cruz; Matthias Diener; Marco A. Z. Alves; Laércio Lima Pilla; Philippe Olivier Alexandre Navaux (SBAC-PAD, 2014)

Profiling and Reducing Micro-Architecture Bottlenecks at the Hardware Level. - Francis B. Moreira 001; Marco A. Z. Alves; Israel Koren (SBAC-PAD, 2014)

Dynamic thread mapping of shared memory applications by exploiting cache coherence protocols. - Eduardo Henrique Molina da Cruz; Matthias Diener; Marco A. Z. Alves; Philippe Olivier Alexandre Navaux (J. Parallel Distributed Comput., 2014)

Saving memory movements through vector processing in the DRAM. - Marco A. Z. Alves; Paulo C. Santos 001; Francis B. Moreira 001; Matthias Diener; Luigi Carro (CASES, 2015)

Locality and Balance for Communication-Aware Thread Mapping in Multicore Systems. - Matthias Diener; Eduardo Henrique Molina da Cruz; Marco A. Z. Alves; Mohammad S. Alhakeem; Philippe Olivier Alexandre Navaux; Hans-Ulrich Heiß (Euro-Par, 2015)

SiNUCA: A Validated Micro-Architecture Simulator. - Marco A. Z. Alves; Carlos Villavieja; Matthias Diener; Francis Birck Moreira; Philippe Olivier Alexandre Navaux (HPCC/CSS/ICESS, 2015)

HMC and DDR Performance Trade-offs. - Paulo C. Santos 001; Marco A. Z. Alves; Luigi Carro (IESS, 2015)

Opportunities and Challenges of Performing Vector Operations inside the DRAM. - Marco A. Z. Alves; Paulo C. Santos 001; Matthias Diener; Luigi Carro (MEMSYS, 2015)

Reconfigurable Vector Extensions inside the DRAM. - Marco A. Z. Alves; Paulo C. Santos 001; Matthias Diener; Luigi Carro (ReCoSoC, 2015)

Large vector extensions inside the HMC. - Marco A. Z. Alves; Matthias Diener; Paulo C. Santos 001; Luigi Carro (DATE, 2016)

Communication in Shared Memory: Concepts, Definitions, and Efficient Detection. - Matthias Diener; Eduardo Henrique Molina da Cruz; Marco A. Z. Alves; Philippe O. A. Navaux (PDP, 2016)

Exploring Cache Size and Core Count Tradeoffs in Systems with Reduced Memory Access Latency. - Paulo C. Santos 001; Marco A. Z. Alves; Matthias Diener; Luigi Carro; Philippe O. A. Navaux (PDP, 2016)

LAPT: A locality-aware page table for thread and data mapping. - Eduardo Henrique Molina da Cruz; Matthias Diener; Marco A. Z. Alves; Laércio Lima Pilla; Philippe O. A. Navaux (Parallel Comput., 2016)

A dynamic block-level execution profiler. - Francis B. Moreira 001; Marco A. Z. Alves; Matthias Diener; Philippe O. A. Navaux; Israel Koren (Parallel Comput., 2016)

Kernel-Based Thread and Data Mapping for Improved Memory Affinity. - Matthias Diener; Eduardo H. M. Cruz; Marco A. Z. Alves; Philippe O. A. Navaux; Anselm Busse; Hans-Ulrich Heiss (IEEE Trans. Parallel Distributed Syst., 2016)

NIM: An HMC-Based Machine for Neuron Computation. - Geraldo F. Oliveira; Paulo C. Santos 001; Marco A. Z. Alves; Luigi Carro (ARC, 2017)

Optimizing memory affinity with a hybrid compiler/OS approach. - Matthias Diener; Eduardo H. M. Cruz; Marco A. Z. Alves; Edson Borin; Philippe O. A. Navaux (Conf. Computing Frontiers, 2017)

Operand size reconfiguration for big data processing in memory. - Paulo C. Santos 001; Geraldo F. Oliveira; Diego G. Tomé; Marco A. Z. Alves; Eduardo C. de Almeida; Luigi Carro (DATE, 2017)

A generic processing in memory cycle accurate simulator under hybrid memory cube architecture. - Geraldo F. Oliveira; Paulo C. Santos 001; Marco A. Z. Alves; Luigi Carro (SAMOS, 2017)

Trace-Driven Extension for Noxim Simulator. - Ivan Luiz Pedroso Pires; Marco Antonio Zanata Alves; Luiz Carlos Pessoa Albini (SBESC, 2017)

Affinity-Based Thread and Data Mapping in Shared Memory Systems. - Matthias Diener; Eduardo H. M. Cruz; Marco A. Z. Alves; Philippe O. A. Navaux; Israel Koren (ACM Comput. Surv., 2017)

Design space exploration for PIM architectures in 3D-stacked memories. - João Paulo C. de Lima; Paulo C. Santos 001; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (CF, 2018)

Processing in 3D memories to speed up operations on complex data structures. - Paulo C. Santos 001; Geraldo F. Oliveira; João Paulo C. de Lima; Marco A. Z. Alves; Luigi Carro; Antonio C. S. Beck (DATE, 2018)

HIPE: HMC instruction predication extension applied on database processing. - Diego G. Tomé; Paulo C. Santos 001; Luigi Carro; Eduardo C. de Almeida; Marco A. Z. Alves (DATE, 2018)

Exploring IoT platform with technologically agnostic processing-in-memory framework. - Paulo Cesar Santos 001; João Paulo C. de Lima; Rafael Fão de Moura; Hameeza Ahmed; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (INTESA@ESWEEK, 2018)

An Elastic Multi-Core Allocation Mechanism for Database Systems. - Simone Dominico; Eduardo C. de Almeida; Jorge Augusto Meira; Marco Antonio Zanata Alves (ICDE, 2018)

Freezing Time: A New Approach for Emulating Fast Storage Devices Using VM. - Luis C. E. Bona; Alessandro Elias; Andre P. Ziviani; Toni Cortes; Ramon Nou; Marco A. Z. Alves (MASCOTS, 2018)

Evaluating Dead Line Predictors Efficiency with Drowsy Technique. - Rodrigo M. Sokulski; Emmanuell D. Carreño; Marco A. Z. Alves (SBESC, 2018)

Near-Data Filters: Taking Another Brick from the Memory Wall. - Diego G. Tomé; Tiago Rodrigo Kepe; Marco A. Z. Alves; Eduardo C. de Almeida (ADMS@VLDB, 2018)

Introducing Drowsy Technique to Cache Line Usage Predictors. - Rodrigo M. Sokulski; Emmanuell D. Carreño; Marco A. Z. Alves (WSCAD, 2018)

Evaluating Cache Line Behavior Predictors for Energy Efficient Processors. - Rodrigo Machniewicz Sokulski; Emmanuell Diaz Carreño; Marco Antonio Zanata Alves (WSCAD (Selected Papers), 2018)

Exploiting Reconfigurable Vector Processing for Energy-Efficient Computation in 3D-Stacked Memories. - João Paulo C. de Lima; Paulo C. Santos 001; Rafael Fao de Moura; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (ARC, 2019)

A Compiler for Automatic Selection of Suitable Processing-in-Memory Instructions. - Hameeza Ahmed; Paulo C. Santos 001; João Paulo C. de Lima; Rafael Fão de Moura; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (DATE, 2019)

Database Processing-in-Memory: A Vision. - Tiago Rodrigo Kepe; Eduardo C. de Almeida; Marco A. Z. Alves; Jorge Augusto Meira (DEXA (1), 2019)

Multi-phased Task Placement of HPC Applications in the Cloud. - Emmanuell D. Carreño; Marco A. Z. Alves; Matthias Diener; Eduardo Roloff; Philippe Olivier Alexandre Navaux (ISPDC, 2019)

The AV says: Your Hardware Definitions Were Updated! - Marcus Botacin; Lucas Galante; Fabricio Ceschin; Paulo C. Santos 001; Luigi Carro; Paulo Lício de Geus; André Grégio; Marco A. Z. Alves (ReCoSoC, 2019)

Skipping CNN Convolutions Through Efficient Memoization. - Rafael Fão de Moura; Paulo C. Santos 001; João Paulo C. de Lima; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (SAMOS, 2019)

Artigo Visão: Processamento de Banco de Dados em Memória. - Tiago Rodrigo Kepe; Eduardo C. de Almeida; Marco A. Z. Alves (SBBD, 2019)

Trace-driven and processing time extensions for Noxim simulator. - Ivan Luiz Pedroso Pires; Marco Antonio Zanata Alves; Luiz Carlos Pessoa Albini (Des. Autom. Embed. Syst., 2019)

Towards providing middleware-level proactive resource reorganisation for elastic HPC applications in the cloud. - Rodrigo da Rosa Righi; Vinicius Facco Rodrigues; Igor Fontana De Nardin; Cristiano André da Costa; Marco Antonio Zanata Alves; Maurício Aronne Pillon (Int. J. Grid Util. Comput., 2019)

A Technologically Agnostic Framework for Cyber-Physical and IoT Processing-in-Memory-based Systems Simulation. - Paulo Cesar Santos 001; João Paulo C. de Lima; Rafael Fao de Moura; Hameeza Ahmed; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (Microprocess. Microsystems, 2019)

Database Processing-in-Memory: An Experimental Study. - Tiago Rodrigo Kepe; Eduardo C. de Almeida; Marco A. Z. Alves (Proc. VLDB Endow., 2019)

Near-Memory & In-Memory Detection of Fileless Malware. - Marcus Botacin; André Grégio; Marco Antonio Zanata Alves (MEMSYS, 2020)

Freezing time emulating new and faster devices with virtual machines. - Luis C. E. Bona; Alessandro Elias; Andre P. Ziviani; Ramon Nou; Toni Cortes; Marco A. Z. Alves (CCF Trans. High Perform. Comput., 2020)

The self modifying code (SMC)-aware processor (SAP): a security look on architectural impact and support. - Marcus Botacin; Marco Antonio Zanata Alves; André Grégio (J. Comput. Virol. Hacking Tech., 2020)

Towards the Overcome of Performance Pitfalls in Data Stream Mining Tools. - Lucca Portes Cavalheiro; Marco Antonio Zanata Alves; Jean Paul Barddal (IJCNN, 2021)

Machine Learning Migration for Efficient Near-Data Processing. - Aline S. Cordeiro; Sairo R. dos Santos; Francis B. Moreira 001; Paulo C. Santos 001; Luigi Carro; Marco A. Z. Alves (PDP, 2021)

Performance Analysis of Array Database Systems in Non-Uniform Memory Architecture. - Simone Dominico; Eduardo C. de Almeida; Marco A. Z. Alves; Jorge Augusto Meira (PDP, 2021)

Processamento Distribuído de Operações Hash Join em Switches Programáveis: Uma Análise via Modelo de Custo. - Marisa S. Franco; Simone Dominico; Tiago Rodrigo Kepe; Luiz Carlos Pessoa Albini; Eduardo C. de Almeida; Marco A. Z. Alves (SBBD, 2021)

Enabling Near-Data Accelerators Adoption by Through Investigation of Datapath Solutions. - Paulo C. Santos 001; João Paulo Cardoso de Lima; Rafael Fão de Moura; Marco A. Z. Alves; Antonio C. S. Beck; Luigi Carro (Int. J. Parallel Program., 2021)

Aggressive Performance Improvement on Processing-in-Memory Devices by Adopting Hugepages. - Paulo Cesar Santos 001; Bruno E. Forlin; Marco A. Z. Alves; Luigi Carro (ASAP, 2022)

Video Decoder Improvements with Near-Data Speculative Motion Compensation Processing. - Garrenlus de Souza; José Rodrigo Azambuja; Bruno Zatt; Marco Antonio Zanata Alves; Sergio Bampi; Felipe Sampaio (ISCAS, 2022)

Advancing Near-Data Processing with Precise Exceptions and Efficient Data Fetching. - Sairo R. dos Santos; Tiago Rodrigo Kepe; Francis B. Moreira 001; Paulo C. Santos 001; Marco A. Z. Alves (ISPASS, 2022)

Advancing Database System Operators with Near-Data Processing. - Sairo R. dos Santos; Francis B. Moreira 001; Tiago Rodrigo Kepe; Marco A. Z. Alves (PDP, 2022)

Comparison of Different Adaptable Cache Bypassing Approaches. - Mariana Carmin; Leandro Augusto Ensina; Marco Antonio Zanata Alves (SBESC, 2022)

SAPIVe: Simple AVX to PIM Vectorizer. - Rodrigo M. Sokulski; Paulo C. Santos 001; Sairo R. dos Santos; Marco A. Z. Alves (SBESC, 2022)

AntiViruses under the microscope: A hands-on perspective. - Marcus Botacin; Felipe Duarte Domingues; Fabrício Ceschin; Raphael Machnicki; Marco Antonio Zanata Alves; Paulo Lício de Geus; André Grégio (Comput. Secur., 2022)

Vector In Memory Architecture for simple and high efficiency computing. - Marco Antonio Zanata Alves; Sairo R. dos Santos; Aline S. Cordeiro; Francis B. Moreira 001; Paulo C. Santos 001; Luigi Carro (CoRR, 2022)

HEAVEN: A Hardware-Enhanced AntiVirus ENgine to accelerate real-time, signature-based malware detection. - Marcus Botacin; Marco Antonio Zanata Alves; Daniela Oliveira 001; André Grégio (Expert Syst. Appl., 2022)

Evaluation of Hash Join Operations Performance Executing on SDN Switches: A Cost Model Approach. - Marisa S. Franco; Simone Dominico; Tiago Rodrigo Kepe; Luiz Carlos Pessoa Albini; Eduardo C. de Almeida; Marco A. Z. Alves (J. Inf. Data Manag., 2022)

Sim2PIM: A complete simulation framework for Processing-in-Memory. - Bruno E. Forlin; Paulo C. Santos 001; Augusto E. Becker; Marco A. Z. Alves; Luigi Carro (J. Syst. Archit., 2022)

Terminator: A Secure Coprocessor to Accelerate Real-Time AntiViruses Using Inspection Breakpoints. - Marcus Botacin; Francis B. Moreira 001; Philippe O. A. Navaux; André Grégio; Marco A. Z. Alves (ACM Trans. Priv. Secur., 2022)

Efficient Machine Learning execution with Near-Data Processing. - Aline S. Cordeiro; Sairo R. dos Santos; Francis B. Moreira 001; Paulo C. Santos 001; Luigi Carro; Marco A. Z. Alves (Microprocess. Microsystems, 2022)

#DeOlhoNosCorais: a polygonal annotated dataset to optimize coral monitoring. - Daniel Pimenta Furtado; Edson Aparecido Vieira Filho; Wildna Fernandes do Nascimento; Kelly Yumi Inagaki; Jessica Bleuel; Marco Antonio Zanata Alves; Guilherme Ortigara Longo; Luiz Eduardo Soares de Oliveira (Zenodo, 2022)

#DeOlhoNosCorais: a pixel-wise annotated dataset to optimize coral monitoring (GitHub). - Daniel Pimenta Furtado; Marco Antonio Zanata Alves; Luiz Eduardo Soares de Oliveira (Zenodo, 2022)

NoGar: A Non-cooperative Game for Thread Pinning in Array Databases. - Simone Dominico; Marco A. Z. Alves; Eduardo C. de Almeida (DEXA (1), 2023)

Efficient Prequential AUC-PR Computation. - David L. Pereira Gomes; André Grégio; Marco Antonio Zanata Alves; Paulo R. Lisboa de Almeida (ICMLA, 2023)

Improved Computation of Database Operators via Vector Processing Near-Data. - Sairo R. dos Santos; Tiago Rodrigo Kepe; Marco A. Z. Alves (SBAC-PAD, 2023)

Plug N' PIM: An integration strategy for Processing-in-Memory accelerators. - Paulo C. Santos 001; Bruno E. Forlin; Marco A. Z. Alves; Luigi Carro (Integr., 2023)

#DeOlhoNosCorais: a polygonal annotated dataset to optimize coral monitoring (GitHub). - Daniel Pimenta Furtado; Marco Antonio Zanata Alves; Luiz Eduardo Soares de Oliveira (Zenodo, 2023)

#DeOlhoNosCorais: a polygonal annotated dataset to optimize coral monitoring (GitHub). - Daniel Pimenta Furtado; Marco Antonio Zanata Alves; Luiz Eduardo Soares de Oliveira (Zenodo, 2023)

On the performance limits of thread placement for array databases in non-uniform memory architectures. - Simone Dominico; Eduardo C. de Almeida; Marco Antonio Zanata Alves (Computing, 2023)

Quantitative Precipitation Estimation Using Weather Radar Data and Machine Learning Algorithms for the Southern Region of Brazil. - Fernanda F. Verdelho; Cesar Beneti; Luis G. Pavam; Leonardo Calvetti; Luiz E. S. Oliveira; Marco Antonio Zanata Alves (Remote. Sens., 2024)