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ORCIDMassoud Pedram
Person information
- affiliation: University of Southern California, Los Angeles, USA
- award (1996): Presidential Early Career Award for Scientists and Engineers
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2020 – today
- 2025
[j234]Kyeongwon Lee, Sangmin Jeon, Kangju Lee, Woojoo Lee, Massoud Pedram:
Radar-PIM: Developing IoT Processors Utilizing Processing-in-Memory Architecture for Ultrawideband-Radar-Based Respiration Detection. IEEE Internet Things J. 12(1): 515-530 (2025)- 2024
- [j233]Hajar Falahati
, Mohammad Sadrosadati, Qiumin Xu, Juan Gómez-Luna, Banafsheh Saber Latibari, Hyeran Jeon, Shaahin Hessabi, Hamid Sarbazi-Azad, Onur Mutlu, Murali Annavaram, Massoud Pedram:
Cross-core Data Sharing for Energy-efficient GPUs. ACM Trans. Archit. Code Optim. 21(3): 42:1-42:32 (2024) - [j232]Mohaddeseh Sharei, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
GEMA: A Genome Exact Mapping Accelerator Based on Learned Indexes. IEEE Trans. Biomed. Circuits Syst. 18(3): 523-538 (2024) - [j231]Zeming Cheng, Bo Zhang, Massoud Pedram:
A High-Performance, Conflict-Free Memory-Access Architecture for Modular Polynomial Multiplication. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 492-505 (2024) - [j230]Jina Park, Kyuseung Han, Eunjin Choi, Jae-Jin Lee, Kyeongwon Lee, Woojoo Lee, Massoud Pedram:
Designing Low-Power RISC-V Multicore Processors With a Shared Lightweight Floating Point Unit for IoT Endnodes. IEEE Trans. Circuits Syst. I Regul. Pap. 71(9): 4106-4119 (2024) - [j229]Bo Zhang, Zeming Cheng, Massoud Pedram:
Design of a High-Performance Iterative Barrett Modular Multiplier for Crypto Systems. IEEE Trans. Very Large Scale Integr. Syst. 32(5): 897-910 (2024) - [j228]Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram:
Low-Precision Mixed-Computation Models for Inference on Edge. IEEE Trans. Very Large Scale Integr. Syst. 32(8): 1414-1422 (2024) - [c492]Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram:
Automated Optimization of Deep Neural Networks: Dynamic Bit-Width and Layer-Width Selection via Cluster-Based Parzen Estimation. DATE 2024: 1-6 - [c491]Sasan Razmkhah, Robert S. Aviles, Mingye Li, Sandeep Gupta, Peter A. Beerel, Massoud Pedram:
Challenges and Unexplored Frontiers in Electronic Design Automation for Superconducting Digital Logic. DATE 2024: 1-6 - [c490]Seyedarmin Azizi, Souvik Kundu, Massoud Pedram:
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation. EMNLP (Findings) 2024: 9635-9646 - [c489]Arash Fayyazi, Mahdi Nazemi, Arya Fayyazi, Massoud Pedram:
NeuroBlend: Towards Low-Power yet Accurate Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. ACM Great Lakes Symposium on VLSI 2024: 730-735 - [c488]Mehdi Kamal, Massoud Pedram:
X-IMM: Mixed-Signal Iterative Montgomery Modular Multiplication. ISLPED 2024: 1-6 - [c487]Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram:
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. ISLPED 2024: 1-6 - [c486]Beyza Zeynep Ucpinar, Sasan Razmkhah, Mehdi Kamal, Massoud Pedram:
Scalable Superconductor Ising Machine for Combinatorial Optimization Problems. ISVLSI 2024: 565-570 - [i84]Seyedarmin Azizi, Mahdi Nazemi, Massoud Pedram:
Memory-Efficient Vision Transformers: An Activation-Aware Mixed-Rank Compression Strategy. CoRR abs/2402.06004 (2024) - [i83]Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Arash Fayyazi, Sasan Razmkhah, Mehdi Kamal, Massoud Pedram:
Scalable Superconductor Neuron with Ternary Synaptic Connections for Ultra-Fast SNN Hardware. CoRR abs/2402.16384 (2024) - [i82]Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah, Massoud Pedram:
Superconductor bistable vortex memory for data storage and in-memory computing. CoRR abs/2406.08871 (2024) - [i81]Seyedarmin Azizi, Souvik Kundu, Massoud Pedram:
LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation. CoRR abs/2406.12832 (2024) - [i80]Mohammad Erfan Sadeghi, Arash Fayyazi, Seyedarmin Azizi, Massoud Pedram:
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers. CoRR abs/2406.14854 (2024) - [i79]Arya Fayyazi, Mehdi Kamal, Massoud Pedram:
ARCO:Adaptive Multi-Agent Reinforcement Learning-Based Hardware/Software Co-Optimization Compiler for Improved Performance in DNN Accelerator Design. CoRR abs/2407.08192 (2024) - [i78]Mohammad Erfan Sadeghi, Arash Fayyazi, Suhas Somashekar, Massoud Pedram:
CHOSEN: Compilation to Hardware Optimization Stack for Efficient Vision Transformer Inference. CoRR abs/2407.12736 (2024) - [i77]Dongyang Wu, Siyang Wang, Mehdi Kamal, Massoud Pedram:
Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation. CoRR abs/2407.14498 (2024) - [i76]Seyedarmin Azizi, Mohammad Erfan Sadeghi, Mehdi Kamal, Massoud Pedram:
Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators. CoRR abs/2409.18553 (2024) - [i75]Armin Abdollahi, Mehdi Kamal, Massoud Pedram:
MENAGE: Mixed-Signal Event-Driven Neuromorphic Accelerator for Edge Applications. CoRR abs/2410.08403 (2024) - [i74]Sasan Razmkhah, Jui-Yu Huang, Mehdi Kamal, Massoud Pedram:
SAIM: Scalable Analog Ising Machine for Solving Quadratic Binary Optimization Problems. CoRR abs/2410.16079 (2024) - 2023
- [j227]Ehsan Tanghatari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Federated learning by employing knowledge distillation on edge devices with limited hardware resources. Neurocomputing 531: 87-99 (2023) - [j226]Bo Zhang, Zeming Cheng, Massoud Pedram:
An Iterative Montgomery Modular Multiplication Algorithm With Low Area-Time Product. IEEE Trans. Computers 72(1): 236-249 (2023) - [j225]Hassan Afzali-Kusha, Massoud Pedram:
X-NVDLA: Runtime Accuracy Configurable NVDLA Based on Applying Voltage Overscaling to Computing and Memory Units. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 1989-2002 (2023) - [j224]Mohsen Ahmadzadeh, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8284-8296 (2023) - [j223]Farhad Ebrahimi-Azandaryani, Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Accuracy Configurable Adders with Negligible Delay Overhead in Exact Operating Mode. ACM Trans. Design Autom. Electr. Syst. 28(1): 13:1-13:14 (2023) - [j222]Reza Kazerooni-Zand, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Memristive-based Mixed-signal CGRA for Accelerating Deep Neural Network Inference. ACM Trans. Design Autom. Electr. Syst. 28(4): 66:1-66:25 (2023) - [j221]Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16(2): 17:1-17:25 (2023) - [j220]Marzieh Vaeztourshizi, Massoud Pedram:
Efficient Error Estimation for High-Level Design Space Exploration of Approximate Computing Systems. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 917-930 (2023) - [c485]Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi, Sophia Fuhui Lin, Ali Javadi-Abhari, Massoud Pedram, Frederic T. Chong:
Better Than Worst-Case Decoding for Quantum Error Correction. ASPLOS (2) 2023: 88-102 - [c484]Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. DAC 2023: 1-6 - [c483]Jina Park, Kyuseung Han, Eunjin Choi, Sukho Lee, Jae-Jin Lee, Woojoo Lee, Massoud Pedram:
Florian: Developing a Low-Power RISC-V Multicore Processor with a Shared Lightweight FPU. ISLPED 2023: 1-6 - [c482]Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen:
RPU: The Ring Processing Unit. ISPASS 2023: 272-282 - [c481]Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel:
FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness. WACV 2023: 2348-2357 - [i73]Jung Hwan Heo, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
A Fast Training-Free Compression Framework for Vision Transformers. CoRR abs/2303.02331 (2023) - [i72]Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Thari Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen:
RPU: The Ring Processing Unit. CoRR abs/2303.17118 (2023) - [i71]David Bruce Cousins, Yuriy Polyakov, Ahmad Al Badawi, Matthew French, Andrew G. Schmidt, Ajey P. Jacob, Benedict Reynwar, Kellie Canida, Akhilesh R. Jaiswal, Clynn Mathew, Homer Gamil, Negar Neda, Deepraj Soni, Michail Maniatakos, Brandon Reagen, Naifeng Zhang, Franz Franchetti, Patrick Brinich, Jeremy Johnson, Patrick Broderick, Mike Franusich, Bo Zhang, Zeming Cheng, Massoud Pedram:
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation. CoRR abs/2304.05237 (2023) - [i70]Jingkai Hong, Arash Fayyazi, Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Algorithms and Hardware for Efficient Processing of Logic-based Neural Networks. CoRR abs/2304.06299 (2023) - [i69]Jung Hwan Heo, Seyedarmin Azizi, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
SNT: Sharpness-Minimizing Network Transformation for Fast Compression-friendly Pretraining. CoRR abs/2305.04526 (2023) - [i68]Arash Fayyazi, Mahdi Nazemi, Armin Abdollahi, Massoud Pedram:
BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions. CoRR abs/2307.03784 (2023) - [i67]Aupam Hamran, Marzieh Vaeztourshizi, Amirhossein Esmaili, Massoud Pedram:
Brain Tumor Detection using Convolutional Neural Networks with Skip Connections. CoRR abs/2307.07503 (2023) - [i66]Masoud Zabihi, Yanyue Xie, Zhengang Li, Peiyan Dong, Geng Yuan, Olivia Chen, Massoud Pedram, Yanzhi Wang:
A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits. CoRR abs/2307.12216 (2023) - [i65]Seyedarmin Azizi, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram:
Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation. CoRR abs/2308.06422 (2023) - [i64]Sasan Razmkhah, Mehdi Kamal, Nobuyuki Yoshikawa, Massoud Pedram:
A Josephson Parametric Oscillator-Based Ising Machine. CoRR abs/2309.03407 (2023) - [i63]Beyza Zeynep Ucpinar, Yasemin Kopur, Mustafa Altay Karamuftuoglu, Sasan Razmkhah, Massoud Pedram:
Design of a Superconducting Multiflux Non-Destructive Readout Memory Unit. CoRR abs/2309.14613 (2023) - [i62]Mustafa Altay Karamuftuoglu, Beyza Zeynep Ucpinar, Sasan Razmkhah, Mehdi Kamal, Massoud Pedram:
Unsupervised SFQ-Based Spiking Neural Network. CoRR abs/2310.03918 (2023) - [i61]Beyza Zeynep Ucpinar, Mustafa Altay Karamuftuoglu, Sasan Razmkhah, Massoud Pedram:
An On-Chip Trainable Neuron Circuit for SFQ-Based Spiking Neural Networks. CoRR abs/2310.07824 (2023) - [i60]Haolin Cong, Sasan Razmkhah, Mustafa Altay Karamuftuoglu, Massoud Pedram:
Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library. CoRR abs/2310.13857 (2023) - [i59]Seyedarmin Azizi, Mahdi Nazemi, Mehdi Kamal, Massoud Pedram:
Low-Precision Mixed-Computation Models for Inference on Edge. CoRR abs/2312.02210 (2023) - [i58]Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Thari Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen:
RPU: The Ring Processing Unit. IACR Cryptol. ePrint Arch. 2023: 465 (2023) - [i57]David Bruce Cousins, Yuriy Polyakov, Ahmad Al Badawi, Matthew French, Andrew G. Schmidt, Ajey P. Jacob, Benedict Reynwar, Kellie Canida, Akhilesh R. Jaiswal, Clynn Mathew, Homer Gamil, Negar Neda, Deepraj Soni, Michail Maniatakos, Brandon Reagen, Naifeng Zhang, Franz Franchetti, Patrick Brinich, Jeremy Johnson, Patrick Broderick, Mike Franusich, Bo Zhang, Zeming Cheng, Massoud Pedram:
TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation. IACR Cryptol. ePrint Arch. 2023: 521 (2023) - 2022
- [j219]Nhat-An Nguyen, Hien Vu, Massoud Pedram, Donghwa Shin:
An Attachable Battery-Supercapacitor Hybrid for Large Pulsed Load. IEEE Des. Test 39(5): 62-69 (2022) - [j218]Ehsan Tanghatari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Distributing DNN training over IoT edge devices based on transfer learning. Neurocomputing 467: 56-65 (2022) - [j217]Bo Zhang, Zeming Cheng, Massoud Pedram:
High-Radix Design of a Scalable Montgomery Modular Multiplier With Low Latency. IEEE Trans. Computers 71(2): 436-449 (2022) - [j216]Morteza Soltani, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
An Adaptive Memory-Side Encryption Method for Improving Security and Lifetime of PCM-Based Main Memory. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1744-1756 (2022) - [j215]Souvik Kundu, Yao Fu, Bill Ye, Peter A. Beerel, Massoud Pedram:
Toward Adversary-aware Non-iterative Model Pruning through Dynamic Network Rewiring of DNNs. ACM Trans. Embed. Comput. Syst. 21(5): 52:1-52:24 (2022) - [j214]Mohamadreza Zolfagharinejad, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Posit Process Element for Using in Energy-Efficient DNN Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 30(6): 844-848 (2022) - [c480]Souvik Kundu, Shikai Wang, Qirui Sun, Peter A. Beerel, Massoud Pedram:
BMPQ: Bit-Gradient Sensitivity-Driven Mixed-Precision Quantization of DNNs from Scratch. DATE 2022: 588-591 - [c479]Seyed Hossein Hashemi Shadmehri, Ali BanaGozar, Mehdi Kamal, Sander Stuijk, Ali Afzali-Kusha, Massoud Pedram, Henk Corporaal:
SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. DATE 2022: 1467-1472 - [c478]Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi, Haolin Cong, Adam Holmes, Yunong Shi, Massoud Pedram, Frederic T. Chong:
DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic. HPCA 2022: 400-414 - [c477]Haipeng Zha, Naveen Kumar Katam, Massoud Pedram, Murali Annavaram:
HiPerRF: A Dual-Bit Dense Storage SFQ Register File. HPCA 2022: 415-428 - [c476]Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. ISLPED 2022: 3:1-3:6 - [c475]Hassan Afzali-Kusha, Massoud Pedram:
X-NVDLA: Runtime Accuracy Configurable NVDLA based on Employing Voltage Overscaling Approach. ISQED 2022: 7-12 - [c474]Marzieh Vaeztourshizi, Massoud Pedram:
An Efficient Error Estimation Technique for Pruning Approximate Data-Flow Graphs in Design Space Exploration. ISQED 2022: 102-107 - [p2]Marzieh Vaeztourshizi, Hassan Afzali-Kusha, Mehdi Kamal, Massoud Pedram:
Design Techniques for Approximate Realization of Data-Flow Graphs. Approximate Computing 2022: 175-206 - [i56]Souvik Kundu, Sairam Sundaresan, Massoud Pedram, Peter A. Beerel:
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness. CoRR abs/2204.00426 (2022) - [i55]Jung Hwan Heo, Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
Sparse Periodic Systolic Dataflow for Lowering Latency and Power Dissipation of Convolutional Neural Network Accelerators. CoRR abs/2207.00068 (2022) - [i54]Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. CoRR abs/2208.00302 (2022) - [i53]Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi, Sophia Fuhui Lin, Ali Javadi-Abhari, Massoud Pedram, Frederic T. Chong:
Have your QEC and Bandwidth too!: A lightweight cryogenic decoder for common / trivial errors, and efficient bandwidth + execution management otherwise. CoRR abs/2208.08547 (2022) - [i52]Saba Amanollahi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
AMR-MUL: An Approximate Maximally Redundant Signed Digit Multiplier. CoRR abs/2208.13850 (2022) - 2021
- [j213]Kyuseung Han, Sukho Lee, Kwang-Il Oh, Younghwan Bae, Hyeonguk Jang, Jae-Jin Lee, Woojoo Lee, Massoud Pedram:
Developing TEI-Aware Ultralow-Power SoC Platforms for IoT End Nodes. IEEE Internet Things J. 8(6): 4642-4656 (2021) - [j212]Amir Erfan Eshratifar, David Eigen, Michael Gormish, Massoud Pedram:
Coarse2Fine: a two-stage training method for fine-grained visual classification. Mach. Vis. Appl. 32(2): 49 (2021) - [j211]Mohammad Javad Dousti, Qing Xie, Mahdi Nazemi, Massoud Pedram:
Therminator 2: A Fast Thermal Simulator for Portable Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(12): 2528-2541 (2021) - [j210]Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Loading-Aware Reliability Improvement of Ultra-Low Power Memristive Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 68(8): 3411-3421 (2021) - [j209]Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4310-4323 (2021) - [j208]Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
LATIM: Loading-Aware Offline Training Method for Inverter-Based Memristive Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(10): 3346-3350 (2021) - [j207]Amir Erfan Eshratifar, Mohammad Saeed Abrishami, Massoud Pedram:
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services. IEEE Trans. Mob. Comput. 20(2): 565-576 (2021) - [j206]Xi Li, Soheil Nazar Shahsavani, Xuan Zhou, Massoud Pedram, Peter A. Beerel:
A Variation-aware Hold Time Fixing Methodology for Single Flux Quantum Logic Circuits. ACM Trans. Design Autom. Electr. Syst. 26(6): 47:1-47:17 (2021) - [j205]Mohammad Ali Maleki, Alireza Nabipour-Meybodi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
An Energy-Efficient Inference Method in Convolutional Neural Networks Based on Dynamic Adjustment of the Pruning Level. ACM Trans. Design Autom. Electr. Syst. 26(6): 49:1-49:20 (2021) - [j204]Roohollah Yarmand, Mehdi Kamal, Ali Afzali-Kusha, Pooria Esmaeli, Massoud Pedram:
OPTIMA: An Approach for Online Management of Cache Approximation Levels in Approximate Processing Systems. IEEE Trans. Very Large Scale Integr. Syst. 29(2): 434-446 (2021) - [c473]Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram:
DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. ASP-DAC 2021: 344-350 - [c472]Ghasem Pasandi, Massoud Pedram:
qSeq: Full Algorithmic and Tool Support for Synthesizing Sequential Circuits in Superconducting SFQ Technology. DAC 2021: 133-138 - [c471]Hitarth Kanakia, Mahdi Nazemi, Arash Fayyazi, Massoud Pedram:
ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization. DATE 2021: 1038-1043 - [c470]Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram:
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. FCCM 2021: 266-267 - [c469]Mustafa Munir, Aswin Gopikanna, Arash Fayyazi, Massoud Pedram, Shahin Nazarian:
qMC: A Formal Model Checking Verification Framework For Superconducting Logic. ACM Great Lakes Symposium on VLSI 2021: 259-264 - [c468]Mahdi Nazemi, Hitarth Kanakia, Massoud Pedram:
Heuristics for Million-scale Two-level Logic Minimization. ICCAD 2021: 1-7 - [c467]Souvik Kundu, Massoud Pedram, Peter A. Beerel:
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise. ICCV 2021: 5189-5198 - [c466]Bo Zhang, Zeming Cheng, Massoud Pedram:
A High-Performance Low-Power Barrett Modular Multiplier for Cryptosystems. ISLPED 2021: 1-6 - [c465]Souvik Kundu, Qirui Sun, Yao Fu, Massoud Pedram, Peter A. Beerel:
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation. NeurIPS 2021: 9181-9192 - [c464]Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel:
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression. WACV 2021: 3952-3961 - [i51]Seyed Abolfazl Ghasemzadeh, Erfan Bank Tavakoli, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification. CoRR abs/2101.02667 (2021) - [i50]Mohsen Ahmadzadeh, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks. CoRR abs/2101.09693 (2021) - [i49]Mahdi Nazemi, Arash Fayyazi, Amirhossein Esmaili, Atharva Khare, Soheil Nazar Shahsavani, Massoud Pedram:
NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic. CoRR abs/2104.05421 (2021) - [i48]Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel:
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression. CoRR abs/2107.12445 (2021) - [i47]Souvik Kundu, Massoud Pedram, Peter A. Beerel:
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise. CoRR abs/2110.11417 (2021) - [i46]Souvik Kundu, Shikai Wang, Qirui Sun, Peter A. Beerel, Massoud Pedram:
BMPQ: Bit-Gradient Sensitivity Driven Mixed-Precision Quantization of DNNs from Scratch. CoRR abs/2112.13843 (2021) - 2020
- [j203]Massoud Pedram, Luhao Wang:
Energy Efficiency in 5G Cellular Network Systems. IEEE Des. Test 37(1): 64-78 (2020) - [j202]Ghasem Pasandi, Massoud Pedram:
Depth-bounded Graph Partitioning Algorithm and Dual Clocking Method for Realization of Superconducting SFQ Circuits. ACM J. Emerg. Technol. Comput. Syst. 17(1): 2:1-2:22 (2020) - [j201]Saba Amanollahi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Circuit-Level Techniques for Logic and Memory Blocks in Approximate Computing Systemsx. Proc. IEEE 108(12): 2150-2177 (2020) - [j200]Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel:
Pre-Defined Sparsity for Low-Complexity Convolutional Neural Networks. IEEE Trans. Computers 69(7): 1045-1058 (2020) - [j199]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2558-2571 (2020) - [j198]Farhad Ebrahimi-Azandaryani, Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Block-Based Carry Speculative Approximate Adder for Energy-Efficient Applications. IEEE Trans. Circuits Syst. II Express Briefs 67-II(1): 137-141 (2020) - [j197]Nasim Samimi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Res-DNN: A Residue Number System-Based DNN Accelerator Unit. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(2): 658-671 (2020) - [j196]Pouya Haghi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
O⁴-DNN: A Hybrid DSP-LUT-Based Processing Unit With Operation Packing and Out-of-Order Execution for Efficient Realization of Convolutional Neural Networks on FPGA Devices. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(9): 3056-3069 (2020) - [j195]