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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 - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]Deepak Vungarala, Sakila Alam, Arnob Ghosh, Shaahin Angizi:
SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance. CoRR abs/2410.20553 (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
[j25] [c59] [j21] [c52] [j20] [c41] [c40] [c39] [c38] [j19] [j18] [j17] [c37] [c36] [c35] [c34] [c33] [c32] [i6] [i5] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i4] [i3] [j16] [j15] [j13] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i2]
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