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Omid Akbari
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Dual-quality 4: 2 compressors for utilizing in dynamic accuracy configurable multipliers
O Akbari, M Kamal, A Afzali-Kusha, M Pedram
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (4 …, 2017
2652017
RAP-CLA: A reconfigurable approximate carry look-ahead adder
O Akbari, M Kamal, A Afzali-Kusha, M Pedram
IEEE Transactions on Circuits and Systems II: Express Briefs 65 (8), 1089-1093, 2016
1712016
Block-based carry speculative approximate adder for energy-efficient applications
F Ebrahimi-Azandaryani, O Akbari, M Kamal, A Afzali-Kusha, M Pedram
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (1), 137-141, 2019
732019
X-CGRA: An energy-efficient approximate coarse-grained reconfigurable architecture
O Akbari, M Kamal, A Afzali-Kusha, M Pedram, M Shafique
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
532019
PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture
O Akbari, M Kamal, A Afzali-Kusha, M Pedram, M Shafique
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 413-418, 2018
522018
Energy and reliability improvement of voltage-based, clustered, coarse-grain reconfigurable architectures by employing quality-aware mapping
H Afzali-Kusha, O Akbari, M Kamal, M Pedram
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (3 …, 2018
222018
Toward approximate computing for coarse-grained reconfigurable architectures
O Akbari, M Kamal, A Afzali-Kusha, M Pedram, M Shafique
IEEE Micro 38 (6), 63-72, 2018
152018
Energy consumption and lifetime improvement of coarse-grained reconfigurable architectures targeting low-power error-tolerant applications
H Afzali-Kusha, O Akbari, M Kamal, M Pedram
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 431-434, 2018
72018
Efficient approximate multipliers utilizing compact and low-power compressors for error-resilient applications
B Vakili, O Akbari, B Ebrahimi
AEU-International Journal of Electronics and Communications 174, 155039, 2024
62024
Hybrid redundancy approach to increase the reliability of FPGA based speed controller core for high speed train
O Akbari, K Mohammadi, RO Gosheblagh
Journal of Electronics (China) 31 (3), 256-266, 2014
62014
A Re-configurable approximate carry look A-head Adder
M Afzali-Kusha, P Kamal, O Akbari
Transactions of IEEE on ckts & Sys 2: epress briefs 65 (8), 1089-1093, 0
6
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling
AA Bahoo, O Akbari, M Shafique
IEEE Transactions on Emerging Topics in Computing 11 (4), 851-867, 2023
52023
PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture. In 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)
O Akbari, M Kamal, A Afzali-Kusha, M Pedram, M Shafique
IEEE, 2018
52018
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems
J Vafaei, O Akbari, M Shafique, C Hochberger
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 31 (7 …, 2023
42023
Accurate and compact approximate 4: 2 compressors with GDI structure
M Ghanatabadi, B Ebrahimi, O Akbari
Circuits, Systems, and Signal Processing 42 (7), 4148-4169, 2023
22023
BEAD: Bounded error approximate adder with carry and sum speculations
A Khaksari, O Akbari, B Ebrahimi
Integration 88, 353-361, 2023
22023
Accuracy Configurable Adders with Negligible Delay Overhead in Exact Operating Mode
F Ebrahimi-Azandaryani, O Akbari, M Kamal, A Afzali-Kusha, M Pedram
ACM Transactions on Design Automation of Electronic Systems, 2022
22022
A speed controller system based on FPGA for high speed train
O Akbari, K Mohammadi, RO Gosheblagh
2nd International Conference on Recent Advances in Railway Engineering …, 2013
22013
A deep reinforcement learning-based method for dynamic quality of service aware energy and occupant comfort management in intelligent buildings
A Azimi, O Akbari
e-Prime-Advances in Electrical Engineering, Electronics and Energy 9, 100700, 2024
2024
HPR-Mul: An Area and Energy-Efficient High-Precision Redundancy Multiplier by Approximate Computing
J Vafaei, O Akbari
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024
2024
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