Articoli con mandati relativi all'accesso pubblico - Arash FayyaziUlteriori informazioni
Non disponibili pubblicamente: 6
SystemVerilog modeling of SFQ and AQFP circuits
RN Tadros, A Fayyazi, M Pedram, PA Beerel
IEEE Transactions on Applied Superconductivity 30 (2), 1-13, 2019
Mandati: US Department of Defense, US Office of the Director of National Intelligence
OCTAN: An on-chip training algorithm for memristive neuromorphic circuits
M Ansari, A Fayyazi, M Kamal, A Afzali-Kusha, M Pedram
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (12), 4687-4698, 2019
Mandati: US National Science Foundation
Results from the ColdFlux superconductor integrated circuit design tool project
CJ Fourie, K Jackman, J Delport, L Schindler, T Hall, P Febvre, ...
IEEE Transactions on Applied Superconductivity 33 (8), 1-26, 2023
Mandati: US Department of Energy, US Department of Defense, US Office of the Director …
qEC: A logical equivalence checking framework targeting SFQ superconducting circuits
A Fayyazi, S Nazarian, M Pedram
2019 IEEE International Superconductive Electronics Conference (ISEC), 1-3, 2019
Mandati: US National Science Foundation, US Department of Defense
qCG: A low-power multi-domain SFQ logic design and verification framework
S Nazarian, A Fayyazi, M Pedram
2019 IEEE 37th International Conference on Computer Design (ICCD), 446-449, 2019
Mandati: US National Science Foundation, US Department of Defense
Formal Verification of Sequential Circuits in Superconducting Single Flux Quantum Technologies
A Fayyazi, M Munir, S Athrey, S Nazarian, M Pedram
IEEE Transactions on Applied Superconductivity 33 (5), 1-5, 2023
Mandati: US National Science Foundation, US Department of Defense, US Office of the …
Disponibili pubblicamente: 12
An ultra low-power memristive neuromorphic circuit for Internet of Things smart sensors
A Fayyazi, M Ansari, M Kamal, A Afzali-Kusha, M Pedram
IEEE Internet of Things Journal 5 (2), 1011-1022, 2018
Mandati: US National Science Foundation
PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits
M Ansari, A Fayyazi, A Banagozar, MA Maleki, M Kamal, A Afzali-Kusha, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
Mandati: US National Science Foundation
VeriSFQ: A semi-formal verification framework and benchmark for single flux quantum technology
AD Wong, K Su, H Sun, A Fayyazi, M Pedram, S Nazarian
20th International Symposium on Quality Electronic Design (ISQED), 224-230, 2019
Mandati: US Department of Defense, US Office of the Director of National Intelligence
Synergiclearning: Neural network-based feature extraction for highly-accurate hyperdimensional learning
M Nazemi, A Fayyazi, A Esmaili, M Pedram
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
Mandati: US National Science Foundation
Better than worst-case decoding for quantum error correction
GS Ravi, JM Baker, A Fayyazi, SF Lin, A Javadi-Abhari, M Pedram, ...
Proceedings of the 28th ACM International Conference on Architectural …, 2023
Mandati: US National Science Foundation, US Department of Energy
CSrram: Area-efficient low-power ex-situ training framework for memristive neuromorphic circuits based on clustered sparsity
A Fayyazi, S Kundu, S Nazarian, PA Beerel, M Pedram
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 465-470, 2019
Mandati: US National Science Foundation
QMC: A formal model checking verification framework for superconducting logic
M Munir, A Gopikanna, A Fayyazi, M Pedram, S Nazarian
Proceedings of the 2021 Great Lakes Symposium on VLSI, 259-264, 2021
Mandati: US National Science Foundation, US Department of Defense, US Office of the …
Sparse periodic systolic dataflow for lowering latency and power dissipation of convolutional neural network accelerators
JH Heo, A Fayyazi, A Esmaili, M Pedram
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2022
Mandati: US National Science Foundation
A logic verification framework for SFQ and AQFP superconducting circuits
A Fayyazi, M Munir, A Gopikanna, S Nazarian, M Pedram
IEEE Transactions on Applied Superconductivity 31 (9), 1-11, 2021
Mandati: US National Science Foundation, US Department of Defense, US Office of the …
Efficient compilation and mapping of fixed function combinational logic onto digital signal processors targeting neural network inference and utilizing high-level synthesis
SN Shahsavani, A Fayyazi, M Nazemi, M Pedram
arXiv preprint arXiv:2208.00302, 2022
Mandati: US National Science Foundation
HIPE-MAGIC: a technology-aware synthesis and mapping flow for highly parallel execution of memristor-aided logic
A Fayyazi, A Esmaili, M Pedram
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
Mandati: US National Science Foundation
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks
J Hong, A Fayyazi, A Esmaili, M Nazemi, M Pedram
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
Mandati: US National Science Foundation
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