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Dr. Geancarlo Abich is a Brazilian researcher who works on projects for performance modelling, testing and reliability evaluation of Machine Learning models focused on High-Performance Spacecraft Computing (HPSC). He received the prestigious TTTC's E. J. McCluskey Best Doctoral Thesis Award at the International Test Conference (ITC) 2024, worldwide outstanding recognition. He received his bachelor's degree in computing engineering from UNISC (Universidade de Santa Cruz do Sul), Brazil, 14', Masters degree in Computing, and Ph.D. degree in Microelectronics from UFRGS (Universidade Federal do Rio Grande do Sul), Brazil, 17' and 22’, advised by Prof. Ricardo Reis (UFRGS) and co-advised by Prof. Luciano Ost (Loughborough University) where he received the highest grade and his thesis advances become in a Book published by Springer Nature. In his earlier work, he contributed to developing NoC-based MPSoC management systems, soft-error reliability evaluation tools, and parallelism exploration of specialised neural network libraries. During his Ph.D. studies, Dr. Abich collaborated mainly with Prof. Luciano Ost at Loughborough University and with companies such as Imperas and Arm (University Program). In the last year, he worked as a postdoctoral fellow in extending his thesis to evaluate the performance and power costs of parallelism and fault mitigation in machine learning models aimed at resource-constrained devices. Currently, he holds a postdoctoral position at INESC-ID as a co-investigator on performance modelling strategies over the SYCLOPS project. Dr. Geancarlo Abich's research focuses on achieving efficiency at different levels of abstraction, driving both performance gains and reliability at the software and hardware level by exploring the design space for new technologies to deploy AI at high-performance and reliable computing systems. The research he has been conducting in collaboration with their partners, including universities from Portugal, the United Kingdom, and Brazil, as well as industrial partners like ARM and Imperas, led to the publication of 1 book, 4 journal papers, and 14 peer-reviewed international conferences.
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Identificação

Identificação pessoal

Nome completo
Geancarlo Abich
Data de nascimento
1990/11/22
Género
Masculino

Nomes de citação

  • Abich, Geancarlo
  • Abich, G

Identificadores de autor

Ciência ID
FC18-5A6E-F581
ORCID iD
0000-0001-9387-1523
Google Scholar ID
d7fcdVwAAAAJ
LattesiD
http://lattes.cnpq.br/0218273654317320
Researcher Id
rid57843
Scopus Author Id
57193626912

Endereços de correio eletrónico

  • abich@ieee.org (Profissional)
  • geancarlo.abich@inesc-id.pt (Profissional)

Telefones

Telefone
  • 213100300 Ext.: 308 (Profissional)

Moradas

  • Rua Alves Redol, 9, Room 308, 1000-029, Lisboa, Lisboa, Portugal (Profissional)

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Hardware e Arquitetura de Computadores
  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Hardware e Arquitetura de Computadores

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1)
Espanhol; Castelhano Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1)
Formação
Grau Classificação
2017/05/20 - 2022/03/16
Concluído
 Pós Graduação em Microeletrônica (Doctor)
Especialização em Radiation Effects in Embedded Systems
Universidade Federal do Rio Grande do Sul, Brasil
"Early soft error reliability assessment of convolutional neural networks executing on resource-constrained IoT edge devices" (TESE/DISSERTAÇÃO)
 A
2015/03/01 - 2017/05/20
Concluído
 Pós Graduação em Computação (Master)
Especialização em MPSoCs
Universidade Federal do Rio Grande do Sul, Brasil
"Extending FreeRTOS to support dynamic and distributed task mapping in multiprocessor systems" (TESE/DISSERTAÇÃO)
 A
2008/03/01 - 2014/12/20
Concluído
 Engenharia de Comptutação (Bachelor)
Especialização em MPSoCs
Universidade de Santa Cruz do Sul, Brasil
"Applications Mapping Optimization in MPSoCs for Increased Reliability and Lifetime." (TESE/DISSERTAÇÃO)
 10
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2023/02/19 - 2024/11/19 Investigador Contratado (Investigação) Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
2023/01/01 - 2023/12/31 Pós-doutorado (Investigação) Universidade Federal do Rio Grande do Sul, Brasil
Universidade Federal do Rio Grande do Sul, Brasil

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2022/02/23 - 2023/12/31 Professor Auxiliar (Docente Universitário) Universidade de Santa Cruz do Sul, Brasil
Universidade de Santa Cruz do Sul, Brasil

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2024/11/25 - Atual CPU Performance Engineer Semidynamics, Espanha
Projetos

Projeto

Designação Financiadores
2023/01/01 - Atual Scaling extreme analYtics with Cross-architecture acceLeration based on OPen Standards
101092877
Investigador Pós-doutorado
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa, Portugal
 European Commission
Em curso
Produções

Publicações

Artigo em conferência
  1. Jose Eduardo Thums; Areeb Sherjil; Germano Girondi; Antonio Junior; Jonas Gava; Geancarlo Abich; Ricardo Reis; Luciano Ost. "A Performance Analysis of a Real-time Jet Engine Performance Calculator Executing in Arm Cortex-A Multicore Processors". 2024.
    10.1109/icecs61496.2024.10849049
  2. Geancarlo Abich; Ricardo Reis; Luciano Ost. "Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-constrained IoT Edge Devices". 2024.
    10.1109/itc51657.2024.00040
  3. Geancarlo Abich; Anderson Ignacio Silva; Jonas Gava; Altamiro Amadeu Susin; Ricardo Reis; Luciano Ost. "Power and Performance Costs of Radiation-Hardened ML Inference Models Running on Edge Devices". 2023.
    10.1109/sbcci60457.2023.10261657
  4. Geancarlo Abich; Anderson Ignacio da Silva; José Eduardo Thums; Rafael da Silva; Altamiro Amadeu Susin; Ricardo Reis; Luciano Ost. "Power, Performance and Reliability Evaluation of Multi-thread Machine Learning Inference Models Executing in Multicore Edge Devices". 2023.
    10.1109/isvlsi59464.2023.10238535
  5. Abich, Geancarlo; Garibotti, Rafael; Gava, Jonas; Reis, Ricardo; Ost, Luciano. "Impact of Thread Parallelism on the Soft Error Reliability of Convolution Neural Networks". 2022.
    10.1109/lascas53948.2022.9789088
  6. Abich, Geancarlo; Reis, Ricardo; Ost, Luciano. "The Impact of Precision Bitwidth on the Soft Error Reliability of the MobileNet Network". 2021.
    10.1109/lascas51355.2021.9667153
  7. Abich, Geancarlo; Gava, Jonas; Reis, Ricardo; Ost, Luciano. "Soft Error Reliability Assessment of Neural Networks on Resource-constrained IoT Devices". 2020.
    10.1109/icecs49266.2020.9294951
  8. Hamerski, Jean Carlo; Abich, Geancarlo; Reis, Ricardo; Ost, Luciano; Amory, Alexandre. "A Design Patterns-Based Middleware for Multiprocessor Systems-on-Chip". 2018.
    10.1109/sbcci.2018.8533250
  9. Bortolon, Felipe T.; Abich, Geancarlo; Bampi, Sergio; Reis, Ricardo; Moraes, Fernando; Ost, Luciano. "Exploring the Impact of Soft Errors on NoC-based Multiprocessor Systems". 2018.
    10.1109/iscas.2018.8351391
  10. Hamerski, Jean Carlo; Abich, Geancarlo; Reis, Ricardo; Ost, Luciano; Amory, Alexandre. "Publish-subscribe programming for a NoC-based multiprocessor system-on-chip". 2017.
    10.1109/iscas.2017.8050967
  11. Abich, G.; Mandelli, M. G.; Rosa, F. R.; Moraes, F.; Ost, L.; Reis, R.. "Extending FreeRTOS to support dynamic and distributed mapping in multiprocessor systems". 2016.
    10.1109/icecs.2016.7841301
Artigo em revista
  1. Jonas Gava; Alex Hanneman; Geancarlo Abich; Rafael Garibotti; Sergio Cuenca-Asensi; Rodrigo Possamai Bastos; Ricardo Reis; Luciano Ost. "A Lightweight Mitigation Technique for Resource-constrained Devices Executing DNN Inference Models under Neutron Radiation". IEEE Transactions on Nuclear Science (2023): https://doi.org/10.1109/TNS.2023.3262448.
    10.1109/TNS.2023.3262448
  2. Geancarlo Abich; Rafael Garibotti; Ricardo Reis; Luciano Ost. "The Impact of Soft Errors in Memory Units of Edge Devices Executing Convolutional Neural Networks". IEEE Transactions on Circuits and Systems II: Express Briefs (2022): https://doi.org/10.1109/TCSII.2022.3141243.
    10.1109/TCSII.2022.3141243
  3. Geancarlo Abich; Jonas Gava; Rafael Garibotti; Ricardo Reis; Luciano Ost. "Applying Lightweight Soft Error Mitigation Techniques to Embedded Mixed Precision Deep Neural Networks". IEEE Transactions on Circuits and Systems I: Regular Papers (2021): https://doi.org/10.1109/TCSI.2021.3097981.
    10.1109/TCSI.2021.3097981
  4. Geancarlo Abich; Rafael Garibotti; Vitor Bandeira; Felipe da Rosa; Jonas Gava; Felipe Bortolon; Guilherme Medeiros; et al. "Evaluation of the soft error assessment consistency of a JIT-based virtual platform simulator". IET Computers & Digital Techniques (2021): https://doi.org/10.1049/cdt2.12017.
    10.1049/cdt2.12017
Livro
  1. Abich, G; Ost, Luciano; Reis, Ricardo. Autor correspondente: Abich, G. Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices. Suiça: Springer Nature Switzerland. 2023.
    Publicado • 10.1007/978-3-031-18599-1
Distinções

Prémio

2024 TTTC's E. J. McCluskey Best Doctoral Thesis Award - Latin América
IEEE Test Technology Technical Community (TTTC), Estados Unidos

IEEE, Estados Unidos
2024 TTTC's E. J. McCluskey Best Doctoral Thesis Award - Worldwide
IEEE Test Technology Technical Community (TTTC), Estados Unidos

IEEE, Estados Unidos

Outra distinção

2022 IEEE CAS Student Travel Grant Award
IEEE Circuits and Systems Society, Estados Unidos
2018 A. Richard Newton Young Student Fellowship
ACM Special Interest Group on Design Automation (SIGDA), Estados Unidos

IEEE, Estados Unidos
2018 IEEE CAS Student Travel Grant Award
IEEE Circuits and Systems Society, Estados Unidos
2016 A. Richard Newton Young Student Fellowship
ACM Special Interest Group on Design Automation (SIGDA), Estados Unidos

IEEE, Estados Unidos