default search action
Shaahin Angizi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j28]Arman Roohi, Sepehr Tabrizchi, Mehrdad Morsali, David Z. Pan, Shaahin Angizi:
PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 141-150 (2024) - [j27]Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi:
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 73-83 (2024) - [c74]Sabbir Ahmed, Ranyang Zhou, Shaahin Angizi, Adnan Siraj Rakin:
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack. CVPR 2024: 24810-24819 - [c73]Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi:
DNN-Defender: A Victim-Focused In-DRAM Defense Mechanism for Taming Adversarial Weight Attack on DNNs. DAC 2024: 44:1-44:6 - [c72]Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi:
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. DAC 2024: 115:1-115:6 - [c71]Brendan Reidy, Sepehr Tabrizchi, Mohammadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand:
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. DAC 2024: 275:1-275:6 - [c70]Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi:
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. DATE 2024: 1-6 - [c69]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. DATE 2024: 1-6 - [c68]Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi:
DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks. DATE 2024: 1-6 - [c67]Sepehr Tabrizchi, Nedasadat Taheri, Shaahin Angizi, Arman Roohi:
RACSen: Residue Arithmetic and Chaotic Processing in Sensors to Enhance CMOS Imager Security. ACM Great Lakes Symposium on VLSI 2024: 551-555 - [c66]Deniz Najafi, Sepehr Tabrizchi, Ranyang Zhou, Mohammadreza Amel Solouki, Andrew Marshall, Arman Roohi, Shaahin Angizi:
Hybrid Magneto-electric FET-CMOS Integrated Memory Design for Instant-on Computing. ACM Great Lakes Symposium on VLSI 2024: 770-775 - [c65]Mehrdad Morsali, Sepehr Tabrizchi, Ravi Teja Velpula, Mano Bala Sankar Muthu, Hieu Pham Trung Nguyen, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. ISVLSI 2024: 331-336 - [c64]Nedasadat Taheri, Sepehr Tabrizchi, Deniz Najafi, Shaahin Angizi, Arman Roohi:
ResSen: Imager Privacy Enhancement Through Residue Arithmetic Processing in Sensors. ISVLSI 2024: 349-354 - [c63]Rebati Raman Gaire, Sepehr Tabrizchi, Deniz Najafi, Shaahin Angizi, Arman Roohi:
DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks. MWSCAS 2024: 1441-1445 - [i22]Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani:
HyperSense: Accelerating Hyper-Dimensional Computing for Intelligent Sensor Data Processing. CoRR abs/2401.10267 (2024) - [i21]Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi:
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. CoRR abs/2403.05037 (2024) - [i20]Mohammadreza Amel Solouki, Shaahin Angizi, Massimo Violante:
Dependability in Embedded Systems: A Survey of Fault Tolerance Methods and Software-Based Mitigation Techniques. CoRR abs/2404.10509 (2024) - [i19]Mahmoud Nazzal, Deepak Vungarala, Mehrdad Morsali, Chao Zhang, Arnob Ghosh, Abdallah Khreishah, Shaahin Angizi:
A Dataset for Large Language Model-Driven AI Accelerator Generation. CoRR abs/2404.10875 (2024) - [i18]Ranyang Zhou, Jacqueline T. Liu, Nakul Kochar, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi:
DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism. CoRR abs/2404.18396 (2024) - [i17]Brendan Reidy, Sepehr Tabrizchi, Mohamadreza Mohammadi, Shaahin Angizi, Arman Roohi, Ramtin Zand:
HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI. CoRR abs/2408.03956 (2024) - 2023
- [j26]Sepehr Tabrizchi, Ali Nezhadi, Shaahin Angizi, Arman Roohi:
AppCiP: Energy-Efficient Approximate Convolution-in-Pixel Scheme for Neural Network Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 225-236 (2023) - [j25]Fan Zhang, Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 332-343 (2023) - [j24]Shadi Sheikhfaal, Shaahin Angizi, Ronald F. DeMara:
Energy-Efficient Recurrent Neural Network With MRAM-Based Probabilistic Activation Functions. IEEE Trans. Emerg. Top. Comput. 11(2): 534-540 (2023) - [j23]Shaahin Angizi, Sepehr Tabrizchi, David Z. Pan, Arman Roohi:
PISA: A Non-Volatile Processing-in-Sensor Accelerator for Imaging Systems. IEEE Trans. Emerg. Top. Comput. 11(4): 962-972 (2023) - [c62]Ranyang Zhou, Sepehr Tabrizchi, Mehrdad Morsali, Arman Roohi, Shaahin Angizi:
P-PIM: A Parallel Processing-in-DRAM Framework Enabling Row Hammer Protection. DATE 2023: 1-6 - [c61]Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi:
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. ACM Great Lakes Symposium on VLSI 2023: 3-8 - [c60]Sepehr Tabrizchi, Rebati Raman Gaire, Shaahin Angizi, Arman Roohi:
SenTer: A Reconfigurable Processing-in-Sensor Architecture Enabling Efficient Ternary MLP. ACM Great Lakes Symposium on VLSI 2023: 497-502 - [c59]Nakul Kochar, Lucas Ekiert, Deniz Najafi, Deliang Fan, Shaahin Angizi:
Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study. ACM Great Lakes Symposium on VLSI 2023: 625-630 - [c58]Mehrdad Morsali, Sepehr Tabrizchi, Maximilian Liehr, Nathaniel C. Cady, Mohsen Imani, Arman Roohi, Shaahin Angizi:
Deep Mapper: A Multi-Channel Single-Cycle Near-Sensor DNN Accelerator. ICRC 2023: 1-5 - [c57]Sepehr Tabrizchi, Mehrdad Morsali, Shaahin Angizi, Arman Roohi:
NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors. ISCAS 2023: 1-4 - [c56]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
Ocellus: Highly Parallel Convolution-in-Pixel Scheme Realizing Power-Delay-Efficient Edge Intelligence. ISLPED 2023: 1-6 - [c55]Mehrdad Morsali, Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
XOR-CiM: An Efficient Computing-in-SOT-MRAM Design for Binary Neural Network Acceleration. ISQED 2023: 1-5 - [c54]Deepak Vungarala, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
Comparative Study of Low Bit-width DNN Accelerators: Opportunities and Challenges. MWSCAS 2023: 797-800 - [i16]Mahmoud Nazzal, Abdallah Khreishah, Joyoung Lee, Shaahin Angizi, Ala I. Al-Fuqaha, Mohsen Guizani:
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach. CoRR abs/2303.00524 (2023) - [i15]Mehrdad Morsali, Mahmoud Nazzal, Abdallah Khreishah, Shaahin Angizi:
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge. CoRR abs/2303.14162 (2023) - [i14]Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi:
DNN-Defender: An in-DRAM Deep Neural Network Defense Mechanism for Adversarial Weight Attack. CoRR abs/2305.08034 (2023) - [i13]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
DIAC: Design Exploration of Intermittent-Aware Computing Realizing Batteryless Systems. CoRR abs/2311.16406 (2023) - [i12]Ranyang Zhou, Jacqueline T. Liu, Sabbir Ahmed, Nakul Kochar, Adnan Siraj Rakin, Shaahin Angizi:
Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? CoRR abs/2311.16460 (2023) - [i11]Mehrdad Morsali, Sepehr Tabrizchi, Deniz Najafi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Shaahin Angizi:
OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. CoRR abs/2311.18655 (2023) - [i10]Deniz Najafi, Mehrdad Morsali, Ranyang Zhou, Arman Roohi, Andrew Marshall, Durga Misra, Shaahin Angizi:
Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design. CoRR abs/2312.05212 (2023) - [i9]Ranyang Zhou, Sabbir Ahmed, Arman Roohi, Adnan Siraj Rakin, Shaahin Angizi:
DRAM-Locker: A General-Purpose DRAM Protection Mechanism against Adversarial DNN Weight Attacks. CoRR abs/2312.09027 (2023) - 2022
- [j22]Ranyang Zhou, Sepehr Tabrizchi, Arman Roohi, Shaahin Angizi:
LT-PIM: An LUT-Based Processing-in-DRAM Architecture With RowHammer Self-Tracking. IEEE Comput. Archit. Lett. 21(2): 141-144 (2022) - [j21]Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan:
MeF-RAM: A New Non-Volatile Cache Memory Based on Magneto-Electric FET. ACM Trans. Design Autom. Electr. Syst. 27(2): 18:1-18:18 (2022) - [c53]Minhaz Abedin, Arman Roohi, Nathaniel C. Cady, Shaahin Angizi:
Work-in-Progress: A Processing-in-Pixel Accelerator based on Multi-level HfOx ReRAM. CASES 2022: 37-38 - [c52]Amitesh Sridharan, Shaahin Angizi, Sai Kiran Cherupally, Fan Zhang, Jae-Sun Seo, Deliang Fan:
A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. ESSCIRC 2022: 153-156 - [c51]Emily Lattanzio, Ranyang Zhou, Arman Roohi, Abdallah Khreishah, Durga Misra, Shaahin Angizi:
Toward a Behavioral-Level End-to-End Framework for Silicon Photonics Accelerators. IGSC 2022: 1-6 - [c50]Arman Roohi, Shaahin Angizi:
Efficient Targeted Bit-Flip Attack Against the Local Binary Pattern Network. HOST 2022: 89-92 - [c49]Ranyang Zhou, Arman Roohi, Durga Misra, Shaahin Angizi:
ReD-LUT: Reconfigurable In-DRAM LUTs Enabling Massive Parallel Computation. ICCAD 2022: 77:1-77:8 - [c48]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
TizBin: A Low-Power Image Sensor with Event and Object Detection Using Efficient Processing-in-Pixel Schemes. ICCD 2022: 770-777 - [c47]Ali Nezhadi, Shaahin Angizi, Arman Roohi:
semiMul: Floating-Point Free Implementations for Efficient and Accurate Neural Network Training. ICMLA 2022: 837-842 - [c46]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
SCiMA: A Generic Single-Cycle Compute-in-Memory Acceleration Scheme for Matrix Computations. ISCAS 2022: 576-580 - [c45]Ranyang Zhou, Arman Roohi, Durga Misra, Shaahin Angizi:
FlexiDRAM: A Flexible in-DRAM Framework to Enable Parallel General-Purpose Computation. ISLPED 2022: 7:1-7:6 - [c44]Shaahin Angizi, Arman Roohi:
Integrated Sensing and Computing using Energy-Efficient Magnetic Synapses. ISQED 2022: 1-4 - [c43]Arman Roohi, Shaahin Angizi, Pooriya Navaeilavasani, MohammadReza Taheri:
ReFACE: Efficient Design Methodology for Acceleration of Digital Filter Implementations. ISQED 2022: 1-6 - [c42]Sepehr Tabrizchi, Shaahin Angizi, Arman Roohi:
Design and Evaluation of a Robust Power-Efficient Ternary SRAM Cell. MWSCAS 2022: 1-4 - [i8]Shaahin Angizi, Sepehr Tabrizchi, Arman Roohi:
PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processing. CoRR abs/2202.09035 (2022) - [i7]Shaahin Angizi, Mehrdad Morsali, Sepehr Tabrizchi, Arman Roohi:
A Near-Sensor Processing Accelerator for Approximate Local Binary Pattern Networks. CoRR abs/2210.06698 (2022) - 2021
- [j20]Honglan Jiang, Shaahin Angizi, Deliang Fan, Jie Han, Leibo Liu:
Non-Volatile Approximate Arithmetic Circuits Using Scalable Hybrid Spin-CMOS Majority Gates. IEEE Trans. Circuits Syst. I Regul. Pap. 68(3): 1217-1230 (2021) - [c41]Fan Zhang, Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. DAC 2021: 43-48 - [c40]Fan Zhang, Shaahin Angizi, Deliang Fan:
Max-PIM: Fast and Efficient Max/Min Searching in DRAM. DAC 2021: 211-216 - [c39]Shaahin Angizi, Arman Roohi, MohammadReza Taheri, Deliang Fan:
Processing-in-Memory Acceleration of MAC-based Applications Using Residue Number System: A Comparative Study. ACM Great Lakes Symposium on VLSI 2021: 265-270 - [c38]Arman Roohi, MohammadReza Taheri, Shaahin Angizi, Deliang Fan:
RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. ICCAD 2021: 1-9 - 2020
- [j19]Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan:
Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. 16(2): 15:1-15:24 (2020) - [j18]Arman Roohi, Shadi Sheikhfaal, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components. IEEE Trans. Computers 69(3): 349-360 (2020) - [j17]Shaahin Angizi, Zhezhi He, Amro Awad, Deliang Fan:
MRIMA: An MRAM-Based In-Memory Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(5): 1123-1136 (2020) - [c37]Li Yang, Shaahin Angizi, Deliang Fan:
A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. ASP-DAC 2020: 313-318 - [c36]Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. DAC 2020: 1-6 - [c35]Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. DATE 2020: 1265-1270 - [c34]Dayane Reis, Di Gao, Shaahin Angizi, Xunzhao Yin, Deliang Fan, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu:
Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. ACM Great Lakes Symposium on VLSI 2020: 39-44 - [c33]Shaahin Angizi, Wei Zhang, Deliang Fan:
Exploring DNA Alignment-in-Memory Leveraging Emerging SOT-MRAM. ACM Great Lakes Symposium on VLSI 2020: 277-282 - [c32]Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan:
Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC 2020: 117-122 - [i6]Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan:
PANDA: Processing-in-MRAM Accelerated De Bruijn Graph based DNA Assembly. CoRR abs/2008.06177 (2020) - [i5]Shaahin Angizi, Navid Khoshavi, Andrew Marshall, Peter Dowben, Deliang Fan:
MERAM: Non-Volatile Cache Memory Based on Magneto-Electric FETs. CoRR abs/2009.06119 (2020)
2010 – 2019
- 2019
- [c31]Shaahin Angizi, Zhezhi He, Deliang Fan:
ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. ASP-DAC 2019: 127-132 - [c30]Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. DAC 2019: 144 - [c29]Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan:
GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. DATE 2019: 378-383 - [c28]Shaahin Angizi, Deliang Fan:
GraphiDe: A Graph Processing Accelerator leveraging In-DRAM-Computing. ACM Great Lakes Symposium on VLSI 2019: 45-50 - [c27]Shaahin Angizi, Deliang Fan:
ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations. ICCAD 2019: 1-8 - [c26]Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Effciency, and Power-Intermittency Resilience. ISQED 2019: 8-13 - [c25]Shaahin Angizi, Zhezhi He, Dayane Alfenas Reis, Xiaobo Sharon Hu, Wilman Tsai, Shy Jay Lin, Deliang Fan:
Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? ISVLSI 2019: 197-202 - [c24]Shaahin Angizi, Deliang Fan:
Deep Neural Network Acceleration in Non-Volatile Memory: A Digital Approach. NANOARCH 2019: 1-6 - [i4]Shaahin Angizi, Deliang Fan:
Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform. CoRR abs/1904.05782 (2019) - [i3]Arman Roohi, Shaahin Angizi, Deliang Fan, Ronald F. DeMara:
Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience. CoRR abs/1904.07864 (2019) - 2018
- [j16]Farhana Parveen, Shaahin Angizi, Deliang Fan:
IMFlexCom: Energy Efficient In-Memory Flexible Computing Using Dual-Mode SOT-MRAM. ACM J. Emerg. Technol. Comput. Syst. 14(3): 35:1-35:18 (2018) - [j15]Shaahin Angizi, Zhezhi He, Nader Bagherzadeh, Deliang Fan:
Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(9): 1788-1801 (2018) - [j14]Arman Roohi, Ramtin Zand, Shaahin Angizi, Ronald F. DeMara:
A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency. IEEE Trans. Emerg. Top. Comput. 6(4): 450-459 (2018) - [j13]Zhezhi He, Yang Zhang, Shaahin Angizi, Boqing Gong, Deliang Fan:
Exploring a SOT-MRAM Based In-Memory Computing for Data Processing. IEEE Trans. Multi Scale Comput. Syst. 4(4): 676-685 (2018) - [c23]Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan:
IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. ASP-DAC 2018: 111-116 - [c22]Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan:
HielM: Highly flexible in-memory computing using STT MRAM. ASP-DAC 2018: 361-366 - [c21]Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan:
CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. DAC 2018: 105:1-105:6 - [c20]Shaahin Angizi, Zhezhi He, Deliang Fan:
PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. DAC 2018: 162:1-162:6 - [c19]Shaahin Angizi, Zhezhi He, Yu Bai, Jie Han, Mingjie Lin, Ronald F. DeMara, Deliang Fan:
Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI 2018: 397-402 - [c18]Shaahin Angizi, Zhezhi He, Deliang Fan:
DIMA: a depthwise CNN in-memory accelerator. ICCAD 2018: 122 - [c17]Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan:
PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. ICCD 2018: 266-273 - [c16]Zhezhi He, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan:
BD-NET: A Multiplication-Less DNN with Binarized Depthwise Separable Convolution. ISVLSI 2018: 130-135 - [c15]Zhezhi He, Shaahin Angizi, Deliang Fan:
Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM. ISVLSI 2018: 533-538 - 2017
- [j12]Zahra Rouhani, Shaahin Angizi, MohammadReza Taheri, Keivan Navi, Nader Bagherzadeh:
Towards Approximate Computing with Quantum-Dot Cellular Automata. J. Low Power Electron. 13(1): 29-35 (2017) - [j11]Amir Mokhtar Chabi, Arman Roohi, Hossein Khademolhosseini, Shadi Sheikhfaal, Shaahin Angizi, Keivan Navi, Ronald F. DeMara:
Towards ultra-efficient QCA reversible circuits. Microprocess. Microsystems 49: 127-138 (2017) - [j10]Milad Bagherian Khosroshahy, Mohammad Hossein Moaiyeri, Shaahin Angizi, Nader Bagherzadeh, Keivan Navi:
Quantum-dot cellular automata circuits with reduced external fixed inputs. Microprocess. Microsystems 50: 154-163 (2017) - [c14]Shaahin Angizi, Zhezhi He, Deliang Fan:
Energy Efficient In-Memory Computing Platform Based on 4-Terminal Spin Hall Effect-Driven Domain Wall Motion Devices. ACM Great Lakes Symposium on VLSI 2017: 77-82 - [c13]Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan:
Leveraging Dual-Mode Magnetic Crossbar for Ultra-low Energy In-memory Data Encryption. ACM Great Lakes Symposium on VLSI 2017: 83-88 - [c12]Zhezhi He, Shaahin Angizi, Deliang Fan:
Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. ICCD 2017: 439-446 - [c11]Deliang Fan, Shaahin Angizi:
Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM. ICCD 2017: 609-612 - [c10]Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan:
Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. ISCAS 2017: 1-4 - [c9]Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan:
Low power in-memory computing based on dual-mode SOT-MRAM. ISLPED 2017: 1-6 - [c8]Shaahin Angizi, Zhezhi He, Ronald F. DeMara, Deliang Fan:
Composite spintronic accuracy-configurable adder for low power Digital Signal Processing. ISQED 2017: 391-396 - [c7]Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan:
RIMPA: A New Reconfigurable Dual-Mode In-Memory Processing Architecture with Spin Hall Effect-Driven Domain Wall Motion Device. ISVLSI 2017: 45-50 - [c6]Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan:
Hybrid Polymorphic Logic Gate with 5-Terminal Magnetic Domain Wall Motion Device. ISVLSI 2017: 152-157 - [c5]Deliang Fan, Shaahin Angizi, Zhezhi He:
In-Memory Computing with Spintronic Devices. ISVLSI 2017: 683-688 - [c4]Deliang Fan, Zhezhi He, Shaahin Angizi:
Leveraging spintronic devices for ultra-low power in-memory computing: Logic and neural network. MWSCAS 2017: 1109-1112 - [c3]Zhezhi He, Shaahin Angizi, Farhana Parveen, Deliang Fan:
High performance and energy-efficient in-memory computing architecture based on SOT-MRAM. NANOARCH 2017: 97-102 - [c2]Shaahin Angizi, Deliang Fan:
IMC: energy-efficient in-memory convolver for accelerating binarized deep neural network. NCS 2017: 3:1-3:8 - [i2]Zhezhi He, Shaahin Angizi, Deliang Fan:
Current Induced Dynamics of Multiple Skyrmions with Domain Wall Pair and Skyrmion-based Majority Gate Design. CoRR abs/1702.04814 (2017) - 2016
- [j9]Firdous Ahmad, Ghulam Mohiuddin Bhat, Hossein Khademolhosseini, Saeid Azimi, Shaahin Angizi, Keivan Navi:
Towards single layer quantum-dot cellular automata adders based on explicit interaction of cells. J. Comput. Sci. 16: 8-15 (2016) - [i1]Mohammad Hossein Moaiyeri, Elham Taherkhani, Shaahin Angizi:
A Novel Efficient Reversible Full Adder-Subtractor in QCA Nanotechnology. CoRR abs/1610.09473 (2016) - 2015
- [j8]Somaye Mohammadyan, Shaahin Angizi, Keivan Navi:
New fully single layer QCA full-adder cell based on feedback model. Int. J. High Perform. Syst. Archit. 5(4): 202-208 (2015) - [j7]Samira Sayedsalehi, Mostafa Rahimi Azghadi, Shaahin Angizi, Keivan Navi:
Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata. Inf. Sci. 311: 86-101 (2015) - [j6]Shaahin Angizi, Samira Sayedsalehi, Arman Roohi, Nader Bagherzadeh, Keivan Navi:
Design and Verification of New n-Bit Quantum-Dot Synchronous Counters Using Majority Function-Based JK Flip-Flops. J. Circuits Syst. Comput. 24(10): 1550153:1-1550153:17 (2015) - [j5]Shaahin Angizi, Fahimeh Danehdaran, Soheil Sarmadi, Shadi Sheikhfaal, Nader Bagherzadeh, Keivan Navi:
An Ultra-High Speed and Low Complexity Quantum-Dot Cellular Automata Full Adder. J. Low Power Electron. 11(2): 173-180 (2015) - [j4]Shaahin Angizi, Mohammad Hossein Moaiyeri, Shohreh Farrokhi, Keivan Navi, Nader Bagherzadeh:
Designing quantum-dot cellular automata counters with energy consumption analysis. Microprocess. Microsystems 39(7): 512-520 (2015) - [j3]Shaahin Angizi, Soheil Sarmadi, Samira Sayedsalehi, Keivan Navi:
Design and evaluation of new majority gate-based RAM cell in quantum-dot cellular automata. Microelectron. J. 46(1): 43-51 (2015) - [j2]Shadi Sheikhfaal, Shaahin Angizi, Soheil Sarmadi, Mohammad Hossein Moaiyeri, Samira Sayedsalehi:
Designing efficient QCA logical circuits with power dissipation analysis. Microelectron. J. 46(6): 462-471 (2015) - [c1]Mohammad Reza Jahangir, Shadi Sheikhfaal, Shaahin Angizi, Keivan Navi, Firdous Ahmad:
Designing Nanoelectronic-Compatible 8-bit Square Root Circuit by Quantum-Dot Cellular Automata. iNIS 2015: 23-28 - 2014
- [j1]Shaahin Angizi, Esam Alkaldy, Nader Bagherzadeh, Keivan Navi:
Novel Robust Single Layer Wire Crossing Approach for Exclusive OR Sum of Products Logic Design with Quantum-Dot Cellular Automata. J. Low Power Electron. 10(2): 259-271 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 00:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint