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ORCIDJaan Raik
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- affiliation: Tallinn University of Technology, Department of Computer Systems, Estonia
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2020 – today
- 2024
[b1]Raimund Ubar, Jaan Raik, Maksim Jenihhin, Artur Jutman:
Structural Decision Diagrams in Digital Test - Theory and Applications. Springer 2024, ISBN 978-3-031-44733-4, pp. 1-572- [j27]Tara Ghasempouri
, Jaan Raik, Cezar Reinbrecht, Said Hamdioui, Mottaqiallah Taouil:
Survey on Architectural Attacks: A Unified Classification and Attack Model. ACM Comput. Surv. 56(2): 42:1-42:32 (2024) - [j26]Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks. ACM Comput. Surv. 56(6): 141:1-141:39 (2024) - [c176]Andrew Roberts, Mohammad Reza Heidari Iman, Mauro Bellone, Tara Ghasempouri, Jaan Raik, Olaf Maennel, Mohammad Hamad, Sebastian Steinhorst:
ADAssure: Debugging Methodology for Autonomous Driving Control Algorithms. DATE 2024: 1-6 - [c175]Mahdi Taheri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin, Salvatore Pappalardo, Paul Jiménez, Bastien Deveautour, Alberto Bosio:
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators. DDECS 2024: 19-24 - [c174]Bahram Parchekani, Samira Nazari, Mohammad Hasan Ahmadilivani, Ali Azarpeyvand, Jaan Raik, Tara Ghasempouri, Masoud Daneshtalab:
Zero-Memory-Overhead Clipping-Based Fault Tolerance for LSTM Deep Neural Networks. DFT 2024: 1-4 - [c173]Hardi Selg, Konstantin Shibin, Anton Tsertov, Maksim Jenihhin, Peeter Ellervee, Jaan Raik:
Special Session: In-Field ML-Assisted Intermittent Fault Localization and Management in RISC-V SoCs. DFT 2024: 1-6 - [c172]Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ahsan Rafiq, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin:
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators. ETS 2024: 1-4 - [c171]Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning. IOLTS 2024: 1-7 - [c170]Mahdi Taheri, Natalia Cherezova, Mohammad Saeed Ansari, Maksim Jenihhin, Ali Mahani, Masoud Daneshtalab, Jaan Raik:
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators. ISQED 2024: 1-8 - [c169]Maksim Jenihhin, Mahdi Taheri, Natalia Cherezova, Mohammad Hasan Ahmadilivani, Hardi Selg, Artur Jutman, Konstantin Shibin, Anton Tsertov, Sergei Devadze, Rama Mounika Kodamanchili, Ahsan Rafiq, Jaan Raik, Masoud Daneshtalab:
Keynote: Cost-Efficient Reliability for Edge-AI Chips. LATS 2024: 1-2 - [c168]Mohammad Hasan Ahmadilivani, Alberto Bosio, Bastien Deveautour, Fernando Fernandes dos Santos, Juan-David Guerrero-Balaguera, Maksim Jenihhin, Angeliki Kritikakou, Robert Limas Sierra, Salvatore Pappalardo, Jaan Raik, Josie E. Rodriguez Condia, Matteo Sonza Reorda, Mahdi Taheri, Marcello Traiola:
Special Session: Reliability Assessment Recipes for DNN Accelerators. VTS 2024: 1-11 - [i29]Mahdi Taheri, Natalia Cherezova, Mohammad Saeed Ansari, Maksim Jenihhin, Ali Mahani, Masoud Daneshtalab, Jaan Raik:
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators. CoRR abs/2401.09509 (2024) - [i28]Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ahsan Rafiq, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin:
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators. CoRR abs/2403.02936 (2024) - [i27]Mahdi Taheri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin, Salvatore Pappalardo, Paul Jiménez, Bastien Deveautour, Alberto Bosio:
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators. CoRR abs/2403.02946 (2024) - [i26]Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning. CoRR abs/2405.10658 (2024) - [i25]Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, Maksim Jenihhin, Masoud Daneshtalab:
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs. CoRR abs/2406.06313 (2024) - [i24]Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network. CoRR abs/2410.15742 (2024) - 2023
- [j25]Mohammad Reza Heidari Iman, Jaan Raik, Maksim Jenihhin, Gert Jervan, Tara Ghasempouri:
An automated method for mining high-quality assertion sets. Microprocess. Microsystems 97: 104773 (2023) - [j24]Levent Aksoy, Quang-Linh Nguyen, Felipe Almeida, Jaan Raik, Marie-Lise Flottes, Sophie Dupuis, Samuel Pagliarini:
Hybrid Protection of Digital FIR Filters. IEEE Trans. Very Large Scale Integr. Syst. 31(6): 812-825 (2023) - [c167]Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. AICAS 2023: 1-5 - [c166]Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik:
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. DDECS 2023: 124-127 - [c165]Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik:
Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks. DFT 2023: 1-4 - [c164]Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment. ETS 2023: 1-6 - [c163]Lauri Vihman, Jaan Raik:
Adaptive Kalman Filter Based Data Aggregation in Fault-Resilient Underwater Sensor Networks. DSP 2023: 1-5 - [c162]Iman Dadras, Sakineh Seydi, Mohammad Hasan Ahmadilivani, Jaan Raik, Mostafa E. Salehi:
Fully-Fusible Convolutional Neural Networks for End-to-End Fused Architecture with FPGA Implementation. ICECS 2023: 1-5 - [c161]Hardi Selg, Maksim Jenihhin, Peeter Ellervee, Jaan Raik:
ML-Based Online Design Error Localization for RISC-V Implementations. IOLTS 2023: 1-7 - [c160]Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper:
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. ISQED 2023: 1-8 - [c159]Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri:
Special Session: Approximation and Fault Resiliency of DNN Accelerators. VTS 2023: 1-10 - [e6]Maksim Jenihhin, Hana Kubátová, Nele Metens, Jaan Raik, Foisal Ahmed, Jan Belohoubek:
26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2023, Tallinn, Estonia, May 3-5, 2023. IEEE 2023, ISBN 979-8-3503-3277-3 [contents] - [i23]Levent Aksoy, Quang-Linh Nguyen, Felipe Almeida, Jaan Raik, Marie-Lise Flottes, Sophie Dupuis, Samuel Pagliarini:
Hybrid Protection of Digital FIR Filters. CoRR abs/2301.11115 (2023) - [i22]Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment. CoRR abs/2303.06931 (2023) - [i21]Mahdi Taheri, Mohammad Riazati, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper:
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. CoRR abs/2303.08226 (2023) - [i20]Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks. CoRR abs/2305.05750 (2023) - [i19]Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik:
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. CoRR abs/2305.19733 (2023) - [i18]Mohammad Hasan Ahmadilivani, Mario Barbareschi, Salvatore Barone, Alberto Bosio, Masoud Daneshtalab, Salvatore Della Torca, Gabriele Gavarini, Maksim Jenihhin, Jaan Raik, Annachiara Ruospo, Ernesto Sánchez, Mahdi Taheri:
Special Session: Approximation and Fault Resiliency of DNN Accelerators. CoRR abs/2306.04645 (2023) - [i17]Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin:
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. CoRR abs/2306.09973 (2023) - 2022
- [j23]Felipe Almeida, Malik Imran, Jaan Raik, Samuel Pagliarini:
Ransomware Attack as Hardware Trojan: A Feasibility and Demonstration Study. IEEE Access 10: 44827-44839 (2022) - [c158]Mohammad Reza Heidari Iman, Jaan Raik, Gert Jervan, Tara Ghasempouri:
IMMizer: An Innovative Cost-Effective Method for Minimizing Assertion Sets. DSD 2022: 671-678 - [c157]Adeboye Stephen Oyeniran, Maksim Jenihhin, Jaan Raik, Raimund Ubar:
High-Level Fault Diagnosis in RISC Processors with Implementation-Independent Functional Test. ISVLSI 2022: 32-37 - [c156]Iman Dadras, Mohammad Hasan Ahmadilivani, Saoni Banerji, Jaan Raik, Alvo Aabloo:
An Efficient Analog Convolutional Neural Network Hardware Accelerator Enabled by a Novel Memoryless Architecture for Insect-Sized Robots. MOCAST 2022: 1-6 - [i16]Tara Ghasempouri, Jaan Raik, Cezar Reinbrecht, Said Hamdioui, Mottaqiallah Taouil:
Survey on Architectural Attacks: A Unified Classification and Attack Model. CoRR abs/2208.14194 (2022) - 2021
- [j22]Lauri Vihman, Maarja Kruusmaa, Jaan Raik:
Systematic Review of Fault Tolerant Techniques in Underwater Sensor Networks. Sensors 21(9): 3264 (2021) - [c155]Felipe Almeida, Levent Aksoy, Jaan Raik, Samuel Pagliarini:
Side-Channel Attacks on Triple Modular Redundancy Schemes. ATS 2021: 79-84 - [c154]Malik Imran, Felipe Almeida, Jaan Raik, Andrea Basso, Sujoy Sinha Roy, Samuel Pagliarini:
Design Space Exploration of SABER in 65nm ASIC. ASHES@CCS 2021: 85-90 - [c153]Madis Kerner, Kalle Tammemäe, Jaan Raik, Thomas Hollstein:
Triple Fixed-Point MAC Unit for Deep Learning. DATE 2021: 1404-1407 - [c152]Ameer Shalabi, Tara Ghasempouri, Peeter Ellervee, Jaan Raik:
CLD: An Accurate, Cost-Effective and Scalable Run-Time Cache Leakage Detector. DDECS 2021: 127-132 - [c151]Maksim Jenihhin, Adeboye Stephen Oyeniran, Jaan Raik, Raimund Ubar:
Implementation-Independent Test Generation for a Large Class of Faults in RISC Processor Modules. DSD 2021: 557-561 - [c150]Levent Aksoy, Quang-Linh Nguyen, Felipe Almeida, Jaan Raik, Marie-Lise Flottes, Sophie Dupuis, Samuel Pagliarini:
High-level Intellectual Property Obfuscation via Decoy Constants. IOLTS 2021: 1-7 - [c149]Mohammad Reza Heidari Iman, Jaan Raik, Maksim Jenihhin, Gert Jervan, Tara Ghasempouri:
A Methodology for Automated Mining of Compact and Accurate Assertion Sets. NorCAS 2021: 1-7 - [i15]Felipe Almeida, Levent Aksoy, Jaan Raik, Samuel Pagliarini:
Side-Channel Attacks on Triple Modular Redundancy Schemes. CoRR abs/2104.04334 (2021) - [i14]Levent Aksoy, Quang-Linh Nguyen, Felipe Almeida, Jaan Raik, Marie-Lise Flottes, Sophie Dupuis, Samuel Pagliarini:
High-level Intellectual Property Obfuscation via Decoy Constants. CoRR abs/2105.06122 (2021) - [i13]Malik Imran, Felipe Almeida, Jaan Raik, Andrea Basso, Sujoy Sinha Roy, Samuel Pagliarini:
Design Space Exploration of SABER in 65nm ASIC. CoRR abs/2109.07824 (2021) - [i12]Malik Imran, Felipe Almeida, Jaan Raik, Andrea Basso, Sujoy Sinha Roy, Samuel Pagliarini:
Design Space Exploration of SABER in 65nm ASIC. IACR Cryptol. ePrint Arch. 2021: 1202 (2021) - 2020
- [j21]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Jaan Raik:
High-Level Implementation-Independent Functional Software-Based Self-Test for RISC Processors. J. Electron. Test. 36(1): 87-103 (2020) - [j20]Lembit Jürimägi, Raimund Ubar, Maksim Jenihhin, Jaan Raik:
Calculation of probabilistic testability measures for digital circuits with Structurally Synthesized BDDs. Microprocess. Microsystems 77: 103117 (2020) - [c148]Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendörfer, Christian Sauer, Anton Klotz, Michael Hübner, Jörg Nolte, Heinrich Theodor Vierhaus, Georgios N. Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka:
RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems. DATE 2020: 388-393 - [c147]Tara Ghasempouri, Jaan Raik, Kolin Paul, Cezar Reinbrecht, Said Hamdioui, Mottaqiallah Taouil:
A Security Verification Template to Assess Cache Architecture Vulnerabilities. DDECS 2020: 1-6 - [c146]Ameer Shalabi, Tara Ghasempouri, Peeter Ellervee, Jaan Raik:
SCAAT: Secure Cache Alternative Address Table for mitigating cache logical side-channel attacks. DSD 2020: 213-217 - [c145]Mohammad Riazati, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper:
Adjustable self-healing methodology for accelerated functions in heterogeneous systems. DSD 2020: 638-645 - [c144]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Jaan Raik:
Implementation-Independent Functional Test for Transition Delay Faults in Microprocessors. DSD 2020: 646-650 - [c143]Lauri Vihman, Maarja Kruusmaa, Jaan Raik:
Data-Driven Cross-Layer Fault Management Architecture for Sensor Networks. EDCC 2020: 33-40 - [c142]Cezar Reinbrecht, Said Hamdioui, Mottaqiallah Taouil, Behrad Niazmand, Tara Ghasempouri, Jaan Raik, Johanna Sepúlveda:
LiD-CAT: A Lightweight Detector for Cache ATtacks. ETS 2020: 1-6 - [c141]Madis Kerner, Kalle Tammemäe, Jaan Raik, Thomas Hollstein:
An Efficient FPGA-based Architecture for Contractive Autoencoders. FCCM 2020: 230 - [c140]Ameer Shalabi, Kolin Paul, Tara Ghasempouri, Jaan Raik:
NV-SP: A New High Performance and Low Energy NVM-Based Scratch Pad. ISVLSI 2020: 54-59 - [i11]Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer:
Accelerating Transient Fault Injection Campaigns by using Dynamic HDL Slicing. CoRR abs/2001.09982 (2020) - [i10]Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer:
Efficient Fault Injection based on Dynamic HDL Slicing Technique. CoRR abs/2002.00787 (2020) - [i9]Xinhui Lai, Maksim Jenihhin, Jaan Raik, Kolin Paul:
PASCAL: Timing SCA Resistant Design and Verification Flow. CoRR abs/2002.11108 (2020) - [i8]Cemil Cem Gürsoy, Maksim Jenihhin, Adeboye Stephen Oyeniran, Davide Piumatti, Jaan Raik, Matteo Sonza Reorda, Raimund Ubar:
New categories of Safe Faults in a processor-based Embedded System. CoRR abs/2009.11621 (2020)
2010 – 2019
- 2019
- [j19]Xinhui Lai, Aneesh Balakrishnan, Thomas Lange, Maksim Jenihhin, Tara Ghasempouri, Jaan Raik, Dan Alexandrescu:
Understanding multidimensional verification: Where functional meets non-functional. Microprocess. Microsystems 71 (2019) - [c139]Cemil Cem Gürsoy, Maksim Jenihhin, Adeboye Stephen Oyeniran, Davide Piumatti, Jaan Raik, Matteo Sonza Reorda, Raimund Ubar:
New categories of Safe Faults in a processor-based Embedded System. DDECS 2019: 1-4 - [c138]Jan Malburg, Karl Janson, Jaan Raik, Frank Dannemann:
Fault-Aware Performance Assessment Approach for Embedded Networks. DDECS 2019: 1-4 - [c137]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
High-Level Combined Deterministic and Pseudo-exhuastive Test Generation for RISC Processors. ETS 2019: 1-6 - [c136]Saba Yousefzadeh, Katayoon Basharkhah, Nooshin Nosrati, Rezgar Sadeghi, Jaan Raik, Maksim Jenihhin, Zainalabedin Navabi:
An Accelerator-based Architecture Utilizing an Efficient Memory Link for Modern Computational Requirements. EWDTS 2019: 1-6 - [c135]Tara Ghasempouri, Alessandro Danese, Graziano Pravadelli, Nicola Bombieri, Jaan Raik:
RTL Assertion Mining with Automated RTL-to-TLM Abstraction. FDL 2019: 1-8 - [c134]Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer:
Efficient Fault Injection based on Dynamic HDL Slicing Technique. IOLTS 2019: 52-53 - [c133]Xinhui Lai, Maksim Jenihhin, Jaan Raik, Kolin Paul:
PASCAL: Timing SCA Resistant Design and Verification Flow. IOLTS 2019: 239-242 - [c132]Lembit Jürimägi, Raimund Ubar, Maksim Jenihhin, Jaan Raik, Sergei Devadze, Adeboye Stephen Oyeniran:
Application Specific True Critical Paths Identification in Sequential Circuits. IOLTS 2019: 299-304 - [c131]Stephan Eggersglüß, Said Hamdioui, Artur Jutman, Maria K. Michael, Jaan Raik, Matteo Sonza Reorda, Mehdi Baradaran Tahoori, Elena-Ioana Vatajelu:
IEEE European Test Symposium (ETS). ITC 2019: 1-4 - [c130]Daniel H. P. Kraak, Cemil Cem Gürsoy, Innocent O. Agbo, Mottaqiallah Taouil, Maksim Jenihhin, Jaan Raik, Said Hamdioui:
Software-Based Mitigation for Memory Address Decoder Aging. LATS 2019: 1-6 - [c129]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
Mixed-level identification of fault redundancy in microprocessors. LATS 2019: 1-6 - [c128]Ahmet Cagri Bagbaba, Maksim Jenihhin, Jaan Raik, Christian Sauer:
Accelerating Transient Fault Injection Campaigns by using Dynamic HDL Slicing. NORCAS 2019: 1-7 - [c127]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Jaan Raik:
On Test Generation for Microprocessors for Extended Class of Functional Faults. VLSI-SoC (Selected Papers) 2019: 21-44 - [c126]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Jaan Raik:
Implementation-Independent Functional Test Generation for MSC Microprocessors. VLSI-SoC 2019: 82-87 - [c125]Tara Ghasempouri, Jan Malburg, Alessandro Danese, Graziano Pravadelli, Görschwin Fey, Jaan Raik:
Engineering of an Effective Automatic Dynamic Assertion Mining Platform. VLSI-SoC 2019: 111-116 - [i7]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
Mixed-level identification of fault redundancy in microprocessors. CoRR abs/1907.12325 (2019) - [i6]Maksim Jenihhin, Xinhui Lai, Tara Ghasempouri, Jaan Raik:
Towards Multidimensional Verification: Where Functional Meets Non-Functional. CoRR abs/1908.00314 (2019) - [i5]Adeboye Stephen Oyeniran, Raimund Ubar, Maksim Jenihhin, Cemil Cem Gürsoy, Jaan Raik:
High-Level Combined Deterministic and Pseudoexhuastive Test Generation for RISC Processors. CoRR abs/1908.02986 (2019) - [i4]Lauri Vihman, Maarja Kruusmaa, Jaan Raik:
Overview of Fault Tolerant Techniques in Underwater Sensor Networks. CoRR abs/1910.00889 (2019) - [i3]Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendörfer, Christian Sauer, Anton Klotz, Michael Hübner, Jörg Nolte, Heinrich Theodor Vierhaus, Georgios N. Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka:
RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems. CoRR abs/1912.01561 (2019) - 2018
- [j18]Raimund Ubar, Sergei Kostin, Maksim Jenihhin, Jaan Raik, Lembit Jürimägi:
Fast identification of true critical paths in sequential circuits. Microelectron. Reliab. 81: 252-261 (2018) - [c124]Ranganathan Hariharan, Tara Ghasempouri, Behrad Niazmand, Jaan Raik:
From RTL Liveness Assertions to Cost-Effective Hardware Checkers. DCIS 2018: 1-6 - [c123]Serhiy Avramenko, Siavoosh Payandeh Azad, Stefano Esposito, Behrad Niazmand, Massimo Violante, Jaan Raik, Maksim Jenihhin:
QoSinNoC: Analysis of QoS-Aware NoC Architectures for Mixed-Criticality Applications. DDECS 2018: 67-72 - [c122]Karl Janson, Carl Johann Treudler, Thomas Hollstein, Jaan Raik, Maksim Jenihhin, Görschwin Fey:
Software-Level TMR Approach for On-Board Data Processing in Space Applications. DDECS 2018: 147-152 - [c121]Robert Schmidt, Rehab Massoud, Jaan Raik, Alberto García Ortiz, Rolf Drechsler:
Reliability Improvements for Multiprocessor Systems by Health-Aware Task Scheduling. IOLTS 2018: 247-250 - [c120]Tara Ghasempouri, Siavoosh Payandeh Azad, Behrad Niazmand, Jaan Raik:
An Automatic Approach to Evaluate Assertions' Quality Based on Data-Mining Metrics. ITC-Asia 2018: 61-66 - [c119]Behrad Niazmand, Siavoosh Payandeh Azad, Tara Ghasempouri, Jaan Raik, Gert Jervan:
A Hierarchical Approach for Devising Area Efficient Concurrent Online Checkers. ITC-Asia 2018: 139-144 - [c118]Raimund Ubar, Lembit Jurimagi, Maksim Jenihhin, Jaan Raik, Niyi-Leigh Olugbenga, Vladimir Viies:
Timing-critical path analysis with structurally synthesized BDDs. MECO 2018: 1-6 - [c117]Jaak Kousaar, Raimund Ubar, Sergei Kostin, Sergei Devadze, Jaan Raik:
Parallel Critical Path Tracing Fault Simulation in Sequential Circuits. MIXDES 2018: 305-310 - [c116]Maksim Jenihhin, Xinhui Lai, Tara Ghasempouri, Jaan Raik:
Towards Multidimensional Verification: Where Functional Meets Non-Functional. NORCAS 2018: 1-7 - [c115]Lembit Jurimagi, Raimund Ubar, Maksim Jenihhin, Jaan Raik, Sergei Devadze, Sergei Kostin:
Hierarchical Timing-Critical Paths Analysis in Sequential Circuits. PATMOS 2018: 1-6 - [c114]Karl Janson, Rene Pihlak, Siavoosh Payandeh Azad, Behrad Niazmand, Gert Jervan, Jaan Raik:
AWAIT: An Ultra-Lightweight Soft-Error Mitigation Mechanism for Network-on-Chip Links. ReCoSoC 2018: 1-6 - [c113]Görschwin Fey, Tara Ghasempouri, Swen Jacobs, Gianluca Martino, Jaan Raik, Heinz Riener:
Design Understanding: From Logic to Specification*. VLSI-SoC 2018: 172-175 - [c112]Serhiy Avramenko, Siavoosh Payandeh Azad, Behrad Niazmand, Massimo Violante, Jaan Raik, Maksim Jenihhin:
Upgrading QoSinNoC: Efficient Routing for Mixed-Criticality Applications and Power Analysis. VLSI-SoC 2018: 207-212 - 2017
- [j17]Raimund Ubar, Lembit Jürimägi, Jaan Raik, Vladimir Viies:
Modeling and simulation of circuits with shared structurally synthesized BDDs. Microprocess. Microsystems 48: 56-61 (2017) - [c111]Laura Orgo, Maie Bachmann, Kaia Kalev, M. Jarvelaid, Jaan Raik, Hiie Hinrikus:
Resting EEG functional connectivity and graph theoretical measures for discrimination of depression. BHI 2017: 389-392 - [c110]Artur Jutman, Christophe Lotz, Erik Larsson, Matteo Sonza Reorda, Maksim Jenihhin, Jaan Raik, Hans G. Kerkhoff, Rene Krenz-Baath, Piet Engelke:
BASTION: Board and SoC test instrumentation for ageing and no failure found. DATE 2017: 115-120 - [c109]Siavoosh Payandeh Azad, Behrad Niazmand, Karl Janson, Nevin George, Stephen Adeboye Oyeniran, Tsotne Putkaradze, Apneet Kaur, Jaan Raik, Gert Jervan, Raimund Ubar, Thomas Hollstein:
From online fault detection to fault management in Network-on-Chips: A ground-up approach.