Josie Esteban Rodriguez Condia

Assegnista di Ricerca

Department of Control and Computer Engineering (DAUIN)

Assistant Professor with time contract

Department of Control and Computer Engineering (DAUIN)

Profile

Research interests

functional testing

general purpose graphics processing units (gpgpus)

parallel processing

Teaching

Courses of Study Boards

Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Teachings

Master of Science

GPU programming. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
GPU programming. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

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Bachelor of Science

Computer sciences. A.A. 2018/19, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
Computer sciences. A.A. 2019/20, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
Computer sciences. A.A. 2020/21, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
Computer sciences. A.A. 2021/22, INGEGNERIA DELL'AUTOVEICOLO (AUTOMOTIVE ENGINEERING). Collaboratore del corso
Calcolatori elettronici. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso

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Publications

Latest publications View all publications in Porto@Iris

Rodriguez Condia, Josie E.; Guerrero-Balaguera, Juan-David; Dos Santos, Fernando F.; ... (2022)
A Multi-level Approach to Evaluate the Impact of GPU Permanent Faults on CNN's Reliability. In: 2022 IEEE International Test Conference (ITC), Anaheim, CA (USA), 23-30 September 2022, pp. 278-287. ISBN: 978-1-6654-6270-9
Contributo in Atti di Convegno (Proceeding)
Guerrero-Balaguera, Juan-David; Rodriguez Condia, Josie E.; Reorda, Matteo Sonza (2022)
Neural Network's Reliability to Permanent Faults: Analyzing the Impact of Performance Optimizations in GPUs. In: 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow (UK), 24-26 October 2022, pp. 1-4. ISBN: 978-1-6654-8823-5
Contributo in Atti di Convegno (Proceeding)
Fernandes Dos Santos, Fernando; Kritikakou, Angeliki; Rodriguez Condia, Josie E.; ... (2022)
Characterizing a Neutron-Induced Fault Model for Deep Neural Networks. In: IEEE TRANSACTIONS ON NUCLEAR SCIENCE, pp. 1-1. ISSN 0018-9499
Contributo su Rivista
Deligiannis, Nikolaos; Faller, Tobias; RODRIGUEZ CONDIA, JOSIE ESTEBAN; Cantoro, ... (2022)
Using Formal Methods to Support the Development of STLs for GPUs. In: Asian Test Symposium (ATS), Taiwan
Contributo in Atti di Convegno (Proceeding)
Rodriguez Condia, Josie E.; Sonza Reorda, M. (2021)
Modular Functional Testing: Targeting the Small Embedded Memories in GPUs. In: VLSI-SoC: Design Trends. VLSI-SoC 2020 / Calimera, A., Gaillardon, PE., Korgaonkar, K., Kvatinsky, S., Reis, R. (eds), S.L., Springer, pp. 205-233. ISBN: 978-3-030-81640-7
Contributo in Volume