Masoud Daneshtalab

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 128

Top Venues

CoRR

PDP

Microprocess. Microsystems

DSD

Publications

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)
Ali Asghar Sharifi, Ali Zoljodi, Masoud Daneshtalab
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction. CoRR (2024)
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 (2024)
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)
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)
Joakim Lindén, Andreas Ermedahl, Hans Salomonsson, Masoud Daneshtalab, Björn Forsberg, Paris Carbone
Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence. DATE (2024)
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) (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Bandwidth Reservation Analysis for Schedulability of AVB Traffic in TSN. ICIT (2024)
Hamid Mousavi, Ali Zoljodi, Masoud Daneshtalab
Analysing Robustness of Tiny Deep Neural Networks. ADBIS (Short Papers) (2023)
Ali Monavari Bidgoli, Sepideh Fattahi, Seyyed Hossein Seyyedaghaei Rezaei, Mehdi Modarressi, Masoud Daneshtalab
NeuroPIM: Felxible Neural Accelerator for Processing-in-Memory Architectures. DDECS (2023)
Zenepe Satka, Mohammad Ashjaei, Hossein Fotouhi, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
A comprehensive systematic review of integration of time sensitive networking and 5G communication. J. Syst. Archit. 138 (2023)
Joakim Lindén, Håkan Forsberg, Masoud Daneshtalab, Ingemar Söderquist
Evaluating the Robustness of ML Models to Out-of-Distribution Data Through Similarity Analysis. ADBIS (Short Papers) (2023)
Aldin Berisa, Adis Panjevic, Imran Kovac, Hans Lyngbäck, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Comparative Evaluation of Various Generations of Controller Area Network Based on Timing Analysis. ETFA (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment. CoRR (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
DeepVigor: VulnerabIlity Value RanGes and FactORs for DNNs' Reliability Assessment. ETS (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. CoRR (2023)
Aldin Berisa, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Investigating and Analyzing CAN-to-TSN Gateway Forwarding Techniques. ISORC (2023)
Mohammad K. Fallah, Mahmood Fazlali, Masoud Daneshtalab
A symbiosis between population based incremental learning and LP-relaxation based parallel genetic algorithm for solving integer linear programming models. Computing 105 (5) (2023)
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)
Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik
Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks. DFT (2023)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Supporting end-to-end data propagation delay analysis for TSN-based distributed vehicular embedded systems. J. Syst. Archit. 141 (2023)
Bahar Houtan, Mehmet Onur Aybek, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, John Lundbäck, Saad Mubeen
End-to-end Timing Modeling and Analysis of TSN in Component-Based Vehicular Software. ISORC (2023)
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 (2023)
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 (2023)
Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. DDECS (2023)
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting. AICAS (2023)
Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab
DASS: Differentiable Architecture Search for Sparse Neural Networks. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Mina Ashoury, Mohammad Loni, Farshad Khunjush, Masoud Daneshtalab
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU. CoRR (2023)
Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni, Masoud Daneshtalab, Mikael Sjödin, Arash Gharehbaghi
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search. CoRR (2023)
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 (2023)
Seyed Ali Mousavi, Hamid Mousavi, Masoud Daneshtalab
FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness. ADBIS (2023)
Ali Zoljodi, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
Contrastive Learning for Lane Detection via Cross-Similarity. CoRR (2023)
Amin Yoosefi, Hamid Mousavi, Masoud Daneshtalab, Mehdi Kargahi
Efficient On-device Transfer Learning using Activation Memory Reduction. FMEC (2023)
Mahdi Taheri, Mohammad Hasan Ahmadilivani, Maksim Jenihhin, Masoud Daneshtalab, Jaan Raik
APPRAISER: DNN Fault Resilience Analysis Employing Approximation Errors. CoRR (2023)
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)
Mohammad Loni, Hamid Mousavi, Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin
TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. DATE (2022)
Hamidreza Mahini, Hamid Mousavi, Masoud Daneshtalab
GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques. CoRR (2022)
Mohammad Loni, Ali Zoljodi, Amin Majd, Byung Hoon Ahn, Masoud Daneshtalab, Mikael Sjödin, Hadi Esmaeilzadeh
FastStereoNet: A Fast Neural Architecture Search for Improving the Inference of Disparity Estimation on Resource-Limited Platforms. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Hamid Mousavi, Mohammad Loni, Mina Alibeigi, Masoud Daneshtalab
PR-DARTS: Pruning-Based Differentiable Architecture Search. CoRR (2022)
Ali Zoljodi, Mohammad Loni, Sadegh Abadijou, Mina Alibeigi, Masoud Daneshtalab
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection. ICANN (1) (2022)
Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper
DeepFlexiHLS: Deep Neural Network Flexible High-Level Synthesis Directive Generator. NorCAS (2022)
Zenepe Satka, Mohammad Ashjaei, Hossein Fotouhi, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
QoS-MAN: A Novel QoS Mapping Algorithm for TSN-5G Flows. RTCSA (2022)
Aldin Berisa, Luxi Zhao, Silviu S. Craciunas, Mohammad Ashjaei, Saad Mubeen, Masoud Daneshtalab, Mikael Sjödin
AVB-aware Routing and Scheduling for Critical Traffic in Time-sensitive Networks with Preemption. RTNS (2022)
Zenepe Satka, David Pantzar, Alexander Magnusson, Mohammad Ashjaei, Hossein Fotouhi, Mikael Sjödin, Masoud Daneshtalab, Saad Mubeen
Developing a Translation Technique for Converged TSN-5G Communication. WFCS (2022)
Rajendra Singh, Manoj Kumar Bohra, Prashant Hemrajani, Anshuman Kalla, Devershi Pallavi Bhatt, Nitin Purohit, Masoud Daneshtalab
Review, Analysis, and Implementation of Path Selection Strategies for 2D NoCs. IEEE Access 10 (2022)
Seyed Ahmad Mirsalari, Najmeh Nazari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
FaCT-LSTM: Fast and Compact Ternary Architecture for LSTM Recurrent Neural Networks. IEEE Des. Test 39 (3) (2022)
Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper
AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision. AICAS (2022)
Bahar Houtan, Mehmet Onur Aybek, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
End-to-end Timing Model Extraction from TSN-Aware Distributed Vehicle Software. SEAA (2022)
Vahid Geraeinejad, Sima Sinaei, Mehdi Modarressi, Masoud Daneshtalab
RoCo-NAS: Robust and Compact Neural Architecture Search. IJCNN (2021)
Bahar Houtan, Albert Bergström, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
An Automated Configuration Framework for TSN Networks. ICIT (2021)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Synthesising Schedules to Improve QoS of Best-effort Traffic in TSN Networks. RTNS (2021)
Najda Vidimlic, Alexandra Levin, Mohammad Loni, Masoud Daneshtalab
Image Synthesisation and Data Augmentation for Safe Object Detection in Aircraft Auto-landing System. VISIGRAPP (5: VISAPP) (2021)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Sara Afshar, Saad Mubeen
Schedulability Analysis of Best-Effort Traffic in TSN Networks. ETFA (2021)
Bita Dabiri, Mehdi Modarressi, Masoud Daneshtalab
Network-on-ReRAM for Scalable Processing-in-Memory Architecture Design. DSD (2021)
Seyed Ahmad Mirsalari, Najmeh Nazari, Seyed Ali Ansarmohammadi, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture. ISCAS (2021)
Saad Mubeen, Lucia Lo Bello, Masoud Daneshtalab, Sergio Saponara
Guest Editorial: Special issue on parallel, distributed, and network-based processing in next-generation embedded systems. J. Syst. Archit. 117 (2021)
Mohammad Ashjaei, Lucia Lo Bello, Masoud Daneshtalab, Gaetano Patti, Sergio Saponara, Saad Mubeen
Time-Sensitive Networking in automotive embedded systems: State of the art and research opportunities. J. Syst. Archit. 117 (2021)
Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, Arash Gharehbaghi
A review on deep learning methods for ECG arrhythmia classification. Expert Syst. Appl. X 7 (2020)
Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
Multi-level Binarized LSTM in EEG Classification for Wearable Devices. PDP (2020)
Mohammad Loni, Sima Sinaei, Ali Zoljodi, Masoud Daneshtalab, Mikael Sjödin
DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems. Microprocess. Microsystems 73 (2020)
Masoud Daneshtalab, Francesco Leporati, Mikael Sjödin
Preface from General Co-Chairs: PDP 2020. PDP (2020)
Najmeh Nazari, Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
Multi-level Binarized LSTM in EEG Classification for Wearable Devices. CoRR (2020)
Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjödin, Ben H. H. Juurlink, Reza Akbari
DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture. CEC (2020)
Mohammad K. Fallah, Mina Mirhosseini, Mahmood Fazlali, Masoud Daneshtalab
Scalable Parallel Genetic Algorithm For Solving Large Integer Linear Programming Models Derived From Behavioral Synthesis. PDP (2020)
Mohammad Riazati, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik, Mikael Sjödin, Björn Lisper
Adjustable self-healing methodology for accelerated functions in heterogeneous systems. DSD (2020)
Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA. ICECS (2020)
Masoud Daneshtalab, Mats Brorsson
Message from Program Co-Chairs: PDP 2020. PDP (2020)
Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG signal Classification. CoRR (2020)
Seyed Ahmad Mirsalari, Sima Sinaei, Mostafa E. Salehi, Masoud Daneshtalab
MuBiNN: Multi-Level Binarized Recurrent Neural Network for EEG Signal Classification. ISCAS (2020)
Seyyed Hossein Seyyedaghaei Rezaei, Mehdi Modarressi, Rachata Ausavarungnirun, Mohammad Sadrosadati, Onur Mutlu, Masoud Daneshtalab
NoM: Network-on-Memory for Inter-Bank Data Transfer in Highly-Banked Memories. IEEE Comput. Archit. Lett. 19 (1) (2020)
Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper
SHiLA: Synthesizing High-Level Assertions for High-Speed Validation of High-Level Designs. DDECS (2020)
Hoda Mahdiani, Alireza Khadem, Azam Ghanbari, Mehdi Modarressi, Farima Fattahi-Bayat, Masoud Daneshtalab
ΔNN: Power-Efficient Neural Network Acceleration Using Differential Weights. IEEE Micro 40 (1) (2020)
Seyyed Hossein Seyyedaghaei Rezaei, Mehdi Modarressi, Rachata Ausavarungnirun, Mohammad Sadrosadati, Onur Mutlu, Masoud Daneshtalab
NOM: Network-On-Memory for Inter-Bank Data Transfer in Highly-Banked Memories. CoRR (2020)
Seyyed Amir Asghari, Mohammadreza Binesh Marvasti, Masoud Daneshtalab
A software implemented comprehensive soft error detection method for embedded systems. Microprocess. Microsystems 77 (2020)
Neda Maleki, Mohammad Loni, Masoud Daneshtalab, Mauro Conti, Hossein Fotouhi
SoFA: A Spark-oriented Fog Architecture. IECON (2019)
Bahar Houtan, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, Saad Mubeen
Work in Progress: Investigating the Effects of High Priority Traffic on the Best Effort Traffic in TSN Networks. RTSS (2019)
Fahimeh Yazdanpanah, Raheel Afsharmazayejani, Mohammad Alaei, Amin Rezaei, Masoud Daneshtalab
An energy-efficient partition-based XYZ-planar routing algorithm for a wireless network-on-chip. J. Supercomput. 75 (2) (2019)
Maghsood Salimi, Amin Majd, Mohammad Loni, Tiberiu Seceleanu, Cristina Seceleanu, Marjan Sirjani, Masoud Daneshtalab, Elena Troubitsyna
Multi-objective Optimization of Real-Time Task Scheduling Problem for Distributed Environments. ECBS (2019)
Syed Rameez Ullah Kakakhel, Tomi Westerlund, Masoud Daneshtalab, Zhuo Zou, Juha Plosila, Hannu Tenhunen
A Qualitative Comparison Model for Application Layer IoT Protocols. FMEC (2019)
Naveed Khan Baloch, Muhammad Iram Baig, Masoud Daneshtalab
Defender: A Low Overhead and Efficient Fault-Tolerant Mechanism for Reliable on-Chip Router. IEEE Access 7 (2019)
Mohammad Loni, Ali Zoljodi, Sima Sinaei, Masoud Daneshtalab, Mikael Sjödin
NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems. ICANN (1) (2019)
Amin Majd, Mohammad Loni, Golnaz Sahebi, Masoud Daneshtalab, Elena Troubitsyna
A Cloud Based Super-Optimization Method to Parallelize the Sequential Code's Nested Loops. MCSoC (2019)
Najmeh Nazari, Mohammad Loni, Mostafa E. Salehi, Masoud Daneshtalab, Mikael Sjödin
TOT-Net: An Endeavor Toward Optimizing Ternary Neural Networks. DSD (2019)
Adnan Ghaderi, Masoud Daneshtalab, Mohammad Ashjaei, Mohammad Loni, Saad Mubeen, Mikael Sjödin
Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan. CPS Summer School, PhD Workshop (2019)
Arash Firuzan, Mehdi Modarressi, Masoud Daneshtalab, Midia Reshadi
Reconfigurable Network-on-Chip for 3D Neural Network Accelerators. NOCS (2018)
Amin Rezaei, Masoud Daneshtalab, Hai Zhou
Chapter Three - Multiobjectivism in Dark Silicon Age. Adv. Comput. 110 (2018)
Amin Majd, Adnan Ashraf, Elena Troubitsyna, Masoud Daneshtalab
Using Optimization, Learning, and Drone Reflexes to Maximize Safety of Swarms of Drones. CEC (2018)
Amin Majd, Adnan Ashraf, Elena Troubitsyna, Masoud Daneshtalab
Integrating Learning, Optimization, and Prediction for Efficient Navigation of Swarms of Drones. PDP (2018)
Raheel Afsharmazayejani, Fahimeh Yazdanpanah, Amin Rezaei, Mohammad Alaei, Masoud Daneshtalab
HoneyWiN: Novel Honeycomb-Based Wireless NoC Architecture in Many-Core Era. ARC (2018)
Nasrin Akbari, Mehdi Modarressi, Masoud Daneshtalab, Mohammad Loni
A Customized Processing-in-Memory Architecture for Biological Sequence Alignment. ASAP (2018)
Mohammad Loni, Amin Majd, Abdolah Loni, Masoud Daneshtalab, Mikael Sjödin, Elena Troubitsyna
Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems. MCSoC (2018)
Amin Majd, Golnaz Sahebi, Masoud Daneshtalab, Juha Plosila, Shahriar Lotfi, Hannu Tenhunen
Parallel imperialist competitive algorithms. Concurr. Comput. Pract. Exp. 30 (7) (2018)
Masoumeh Ebrahimi, Masoud Daneshtalab
A General Methodology on Designing Acyclic Channel Dependency Graphs in Interconnection Networks. IEEE Micro 38 (3) (2018)
Alireza Namazi, Meisam Abdollahi, Saeed Safari, Siamak Mohammadi, Masoud Daneshtalab
LRTM: Life-time and Reliability-aware Task Mapping Approach for Heterogeneous Multi-core Systems. NoCArc@MICRO (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Masoud Daneshtalab