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Message from Program Co-Chairs: PDP 2020Daneshtalab, Masoud; Brorsson, Mats2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / 1 p https://doi.org/10.1109/PDP50117.2020.00006

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dissertation

Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamineTaheri, Mahdi2025 https://www.ester.ee/record=b5728368*est https://digikogu.taltech.ee/et/Item/9cf79768-17bc-44ec-a828-e4ccf6cf93f1 https://doi.org/10.23658/taltech.4/2025

dissertation

Related publications 14

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Multi-level binarized LSTM in EEG classification for wearable devicesNazari, N.; Mirsalari, Seyed Ahmad; Sinaei, S.; Salehi, M.E.; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 175-181 https://doi.org/10.1109/PDP50117.2020.00033

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Network-on-ReRAM for scalable processing-in-memory architecture designDabiri, Bita; Modarressi, Mehdi; Daneshtalab, Masoud24th Euromicro Conference on Digital System Design (DSD)2021 https://doi.org/10.1109/DSD53832.2021.00031

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NeuroPIM: felxible neural accelerator for processing-in-memory architecturesBidgoli, Ali Monavari; Fattahi, Sepideh; Rezaei, Seyyed Hossein Seyyedaghaei; Modarressi, Mehdi; Daneshtalab, Masoud2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS) : May 3-5, 2023, Tallin, Estonia : proceedings2023 / p. 51-56 https://doi.org/10.1109/DDECS57882.2023.10139567

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NoM: network-on-memory for inter-bank data transfer in highly-banked memoriesRezaei, S.H.S.A.; Modarressi, M.; Ausavarungnirun, R.; Sadrosadati, M.; Mutlu, O.; Daneshtalab, MasoudIEEE computer architecture letters2020 / p. 80-83 http://dx.doi.org/10.1109/LCA.2020.2990599

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Preface from General Co-Chairs: PDP 2020Daneshtalab, Masoud; Francesco, L.; Sjodin, Mikael2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / 1 p https://doi.org/10.1109/PDP50117.2020.00005

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ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsMousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, MasoudarXiv.org2024 / 12 p. : ill https://doi.org/10.48550/arXiv.2406.06313

journal article

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Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

59

book article EST / book article ENG

ProARD: Progressive adversarial robustness distillation: Provide wide range of robust studentsMousavi, Seyedhamidreza; Mousavi, Seyedali; Daneshtalab, MasoudProceedings of the International Joint Conference on Neural Networks2025 / 8 p. : ill https://doi.org/10.1109/IJCNN64981.2025.11227836 Article at Scopus Article at WOS

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60

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QoS-MAN : a novel QoS mapping algorithm for TSN-5G flowsSatka, Zenepe; Ashjaei, Mohammad; Fotouhi, Hossein; Daneshtalab, Masoud; Sjodin, Mikael; Mubeen, Saad2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)2022 / p. 220-227 https://doi.org/10.1109/RTCSA55878.2022.00030

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Review, analysis, and implementation of path selection strategies for 2D NoCsSingh, Rajendra; Bohra, Manoj Kumar; Hemrajani, Prashant; Kalla, Anshuman; Bhatt, Devershi Pallavi; Purohit, Nitin; Daneshtalab, MasoudIEEE Access2022 / p. 129245 - 129268 https://doi.org/10.1109/ACCESS.2022.3227460 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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62

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RoCo-NAS : robust and compact neural architecture searchGeraeinejad, Vahid; Sinaei, Sima; Modarressi, Mehdi; Daneshtalab, Masoud2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 8 l https://doi.org/10.1109/IJCNN52387.2021.9534460 Conference Proceedings at Scopus Article at Scopus Article at WOS

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SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN AcceleratorsTaheri, Mahdi; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim; Pappalardo, Salvatore; Jimenez, Paul; Deveautour, Bastien; Bosio, Alberto2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland2024 / p. 19–24 : ill https://doi.org/10.1109/DDECS60919.2024.10508925 Article at Scopus Article at WOS

book article

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Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

64

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Scalable parallel genetic algorithm for solving large integer linear programming models derived from behavioral synthesisFallah, Mohammad K.; Mirhosseini, M.; Fazlali, Mahmood; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 390-394 https://doi.org/10.1109/PDP50117.2020.00066

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Schedulability analysis of best-effort traffic in TSN networksHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Afshar, Sara; Mubeen, Saad26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)2021 / 8 l https://doi.org/10.1109/ETFA45728.2021.9613511

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Special session : approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, Mahdi2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 Conference proceeding at Scopus Article at Scopus Article at WOS

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Related publications 1

Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

67

journal article EST / journal article ENG

SRCPAR-Spike Response-Based Congestion Prediction for Adaptive Routing for 2D NoCsSingh, Rajendra; Bohra, Manoj Kumar; Sharma, Ashish; Verma, Sourabh Singh; Bhatt, Devershi Pallavi; Bairwa, Amit Kumar; Daneshtalab, MasoudIEEE Access2025 / p. 114542-114554 https://doi.org/10.1109/ACCESS.2025.3583432

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Supporting end-to-end data propagation delay analysis for TSN-based distributed vehicular embedded systemsHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadJournal of Systems Architecture2023 / art. 102911 https://doi.org/10.1016/j.sysarc.2023.102911

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A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming modelsFallah, Mohammad K.; Fazlali, Mahmood; Daneshtalab, MasoudComputing2023 / p. 1121-1139 https://doi.org/10.1007/s00607-021-01004-x

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Synthesising schedules to improve QoS of best-effort traffic in TSN networksHoutan, Bahar; Ashjaei, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael; Mubeen, SaadRTNS'2021 : 29th International Conference on Real-Time Networks and Systems2021 / p. 68-77 https://doi.org/10.1145/3453417.3453423

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A systematic literature review on hardware reliability assessment methods for deep neural networksAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimACM Computing Surveys2024 / art. 141, 39 p. : ill https://doi.org/10.1145/3638242 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 Conference proceedings at Scopus Article at Scopus Article at WOS

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Related publications 1

Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

73

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TAS : Ternarized Neural Architecture Search for Resource-Constrained Edge DevicesLoni, Mohammad; Mousavi, Hamid; Riazati, Mohammad; Daneshtalab, Masoud; Sjödin, Mikael2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) : proceedings2022 / p. 1115-1118 https://doi.org/10.23919/DATE54114.2022.9774615

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Techniques for reliability in Edge-AI chipsJenihhin, Maksim; Taheri, Mahdi; Cherezova, Natalia; Ahmadilivani, Mohammad Hasan; Rafiq, Ahsan; Raik, Jaan; Daneshtalab, MasoudIEEE Top Picks in Test and Reliability Workshop at the International Test Conference 2024, San Diego, US, November 7-8, 20242024 / p. 1-2 https://people.rennes.inria.fr/Marcello.Traiola/TPTR2024/event_program.html

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3DLaneNAS : neural architecture search for accurate and light-weight 3D lane detectionZoljodi, Ali; Loni, Mohammad; Abadijou, Sadegh; Alibeigi, Mina; Daneshtalab, MasoudArtificial Neural Networks and Machine Learning - ICANN 2022 : proceedings. Part I2022 / p. 404-415 https://doi.org/10.1007/978-3-031-15919-0_34 Conference Proceedings at scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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Daneshtalab, Masoud (author)

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