Články s príkazom na verejný prístup - Shaahin AngiziĎalšie informácie
Nedostupné nikde: 5
Non-volatile approximate arithmetic circuits using scalable hybrid spin-CMOS majority gates
H Jiang, S Angizi, D Fan, J Han, L Liu
IEEE Transactions on Circuits and Systems I: Regular Papers 68 (3), 1217-1230, 2021
Príkazy: Natural Sciences and Engineering Research Council of Canada, National …
Deep mapper: A multi-channel single-cycle near-sensor dnn accelerator
M Morsali, S Tabrizchi, M Liehr, N Cady, M Imani, A Roohi, S Angizi
2023 IEEE International Conference on Rebooting Computing (ICRC), 1-5, 2023
Príkazy: US National Science Foundation
Ocellus: Highly parallel convolution-in-pixel scheme realizing power-delay-efficient edge intelligence
S Tabrizchi, S Angizi, A Roohi
2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023
Príkazy: US National Science Foundation
Nonvolatile memory based architectures using magnetoelectric FETs
S Angizi, D Fan, A Marshall, PA Dowben
Advances in Semiconductor Technologies: Selected Topics Beyond Conventional …, 2022
Príkazy: US National Science Foundation
Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges
D Vungarala, M Morsali, S Tabrizchi, A Roohi, S Angizi
2023 IEEE 66th International Midwest Symposium on Circuits and Systems …, 2023
Príkazy: US National Science Foundation
Dostupné niekde: 61
Cmp-pim: an energy-efficient comparator-based processing-in-memory neural network accelerator
S Angizi, Z He, AS Rakin, D Fan
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Príkazy: US National Science Foundation
MRIMA: An MRAM-based in-memory accelerator
S Angizi, Z He, A Awad, D Fan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019
Príkazy: US National Science Foundation
AlignS: A processing-in-memory accelerator for DNA short read alignment leveraging SOT-MRAM
S Angizi, J Sun, W Zhang, D Fan
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Príkazy: US National Science Foundation
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network
S Angizi, Z He, F Parveen, D Fan
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 111-116, 2018
Príkazy: US National Science Foundation
Graphide: A graph processing accelerator leveraging in-dram-computing
S Angizi, D Fan
Proceedings of the 2019 Great Lakes Symposium on VLSI, 45-50, 2019
Príkazy: US National Science Foundation
PIMA-logic: A novel processing-in-memory architecture for highly flexible and energy-efficient logic computation
S Angizi, Z He, D Fan
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Príkazy: US National Science Foundation
Energy efficient in-memory binary deep neural network accelerator with dual-mode SOT-MRAM
D Fan, S Angizi
2017 IEEE International Conference on Computer Design (ICCD), 609-612, 2017
Príkazy: US National Science Foundation
Graphs: A graph processing accelerator leveraging sot-mram
S Angizi, J Sun, W Zhang, D Fan
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 378-383, 2019
Príkazy: US National Science Foundation
Design and evaluation of a spintronic in-memory processing platform for nonvolatile data encryption
S Angizi, Z He, N Bagherzadeh, D Fan
IEEE transactions on computer-aided design of integrated circuits and …, 2017
Príkazy: US National Science Foundation
Majority-based spin-CMOS primitives for approximate computing
S Angizi, H Jiang, RF DeMara, J Han, D Fan
IEEE Transactions on Nanotechnology 17 (4), 795-806, 2018
Príkazy: US National Science Foundation, Natural Sciences and Engineering Research …
Redram: A reconfigurable processing-in-dram platform for accelerating bulk bit-wise operations
S Angizi, D Fan
2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019
Príkazy: US National Science Foundation
HielM: Highly flexible in-memory computing using STT MRAM
F Parveen, Z He, S Angizi, D Fan
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 361-366, 2018
Príkazy: US National Science Foundation
Accelerating deep neural networks in processing-in-memory platforms: Analog or digital approach?
S Angizi, Z He, D Reis, XS Hu, W Tsai, SJ Lin, D Fan
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 197-202, 2019
Príkazy: US National Science Foundation
Apgan: Approximate gan for robust low energy learning from imprecise components
A Roohi, S Sheikhfaal, S Angizi, D Fan, RF DeMara
IEEE Transactions on Computers 69 (3), 349-360, 2019
Príkazy: US National Science Foundation
Exploring a SOT-MRAM based in-memory computing for data processing
Z He, Y Zhang, S Angizi, B Gong, D Fan
IEEE Transactions on Multi-Scale Computing Systems 4 (4), 676-685, 2018
Príkazy: US National Science Foundation
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