Segui
Sepehr Tabrizchi
Sepehr Tabrizchi
Electrical and Computer Engineering | University of Illinois Chicago
Email verificata su uic.edu
Titolo
Citata da
Citata da
Anno
Novel CNFET ternary circuit techniques for high‐performance and energy‐efficient design
S Tabrizchi, MR Taheri, K Navi, N Bagherzadeh
IET Circuits, Devices & Systems 13 (2), 193-202, 2019
462019
Method for designing ternary adder cells based on CNFETs
S Tabrizchi, A Panahi, F Sharifi, K Navi, N Bagherzadeh
IET Circuits, Devices & Systems 11 (5), 465-470, 2017
452017
Robust Coplanar Full Adder Based on Novel Inverter in Quantum Cellular Automata
M Zahmatkesh, S Tabrizchi, S Mohammadyan, K Navi, N Bagherzadeh
International Journal of Theoretical Physics, 1-17, 2018
312018
Energy-efficient ternary multipliers using CNT transistors
S Tabrizchi, A Panahi, F Sharifi, H Mahmoodi, AH A. Badawy
Electronics 9 (4), 643, 2020
282020
High performance, variation-tolerant CNFET ternary full adder a process, voltage, and temperature variation-resilient design
S Firouzi, S Tabrizchi, F Sharifi, AH Badawy
Computers & Electrical Engineering 77, 205-216, 2019
272019
A novel ternary half adder and multiplier based on carbon nanotube field effect transistors
S Tabrizchi, N Azimi, K Navi
Frontiers of Information Technology & Electronic Engineering 18, 423-433, 2017
27*2017
Pisa: A non-volatile processing-in-sensor accelerator for imaging systems
S Angizi, S Tabrizchi, DZ Pan, A Roohi
IEEE Transactions on Emerging Topics in Computing, 2023
26*2023
Lt-pim: An lut-based processing-in-dram architecture with rowhammer self-tracking
R Zhou, S Tabrizchi, A Roohi, S Angizi
IEEE Computer Architecture Letters 21 (2), 141-144, 2022
262022
Appcip: Energy-efficient approximate convolution-in-pixel scheme for neural network acceleration
S Tabrizchi, A Nezhadi, S Angizi, A Roohi
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 13 (1 …, 2023
242023
Enabling energy-efficient ternary logic gates using CNFETs
S Tabrizchi, F Sharifi, AH Badawy, ZM Saifullah
2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO), 542-547, 2017
202017
A novel design approach for ternary compressor cells based on CNTFETs
S Tabrizchi, H Sharifi, F Sharifi, K Navi
Circuits, Systems, and Signal Processing 35, 3310-3322, 2016
142016
Energy efficient tri-state CNFET ternary logic gates
S Tabrizchi, F Sharifi, AH Badawy
International Journal of Nanoscience 21 (04), 2250024, 2022
122022
Designing positive, negative and standard gates for ternary logics using quantum dot cellular automata
SF Kamali, S Tabrizchi, S Mohammadyan, M Rastgoo, K Navi
Computers & Electrical Engineering 83, 106590, 2020
122020
Energy-efficient and PVT-tolerant CNFET-based ternary full adder cell
S Tabrizchi, F Sharifi, P Dehghani
Circuits, Systems, and Signal Processing 40, 3523-3535, 2021
102021
A near-sensor processing accelerator for approximate local binary pattern networks
S Angizi, M Morsali, S Tabrizchi, A Roohi
IEEE Transactions on Emerging Topics in Computing 12 (1), 73-83, 2023
92023
P-pim: A parallel processing-in-dram framework enabling row hammer protection
R Zhou, S Tabrizchi, M Morsali, A Roohi, S Angizi
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
92023
TizBin: A low-power image sensor with event and object detection using efficient processing-in-pixel schemes
S Tabrizchi, S Angizi, A Roohi
2022 IEEE 40th International Conference on Computer Design (ICCD), 770-777, 2022
82022
An energy-based heterogeneity measure for quantifying structural irregularity in complex networks
F Safaei, S Tabrizchi, AHH Rasanan, M Zare
Journal of Computational Science 36, 101011, 2019
82019
Design of ultra low power ternary half adder and multiplier for nanotechnology
S Tabrizchi, H Sharifi, F Sharifi, K Navi
Journal of Nanoelectronics and Optoelectronics 11 (6), 730-737, 2016
82016
Design and evaluation of a near-sensor magneto-electric fet-based event detector
M Morsali, S Tabrizchi, A Marshall, A Roohi, D Misra, S Angizi
IEEE Transactions on Electron Devices, 2023
72023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20