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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
- 2023
[j226]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)- [j225]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) - [j224]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) - [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 - [i69]Jung Hwan Heo, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
A Fast Training-Free Compression Framework for Vision Transformers. CoRR abs/2303.02331 (2023) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]Aupam Hamran, Marzieh Vaeztourshizi, Amirhossein Esmaili, Massoud Pedram:
Brain Tumor Detection using Convolutional Neural Networks with Skip Connections. CoRR abs/2307.07503 (2023) - [i62]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) - [i61]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) - [i60]Sasan Razmkhah, Mehdi Kamal, Nobuyuki Yoshikawa, Massoud Pedram:
A Josephson Parametric Oscillator-Based Ising Machine. CoRR abs/2309.03407 (2023) - [i59]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) - [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]Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Offline Training Improvement of Inverter-Based Memristive Neural Networks Using Inverter Voltage Characteristic Smoothing. IEEE Trans. Circuits Syst. 67-II(12): 3442-3446 (2020) - [j194]Amirhossein Esmaili, Mahdi Nazemi, Massoud Pedram:
Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines. ACM Trans. Design Autom. Electr. Syst. 25(1): 11:1-11:21 (2020) - [j193]Roohollah Yarmand, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
DART: A Framework for Determining Approximation Levels in an Approximable Memory Hierarchy. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 273-286 (2020) - [j192]Morteza Soltani, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
RandShift: An Energy-Efficient Fault-Tolerant Method in Secure Nonvolatile Main Memory. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 287-291 (2020) - [j191]Erfan Bank-Tavakoli, Seyed Abolfazl Ghasemzadeh, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
POLAR: A Pipelined/Overlapped FPGA-Based LSTM Accelerator. IEEE Trans. Very Large Scale Integr. Syst. 28(3): 838-842 (2020) - [j190]Hassan Afzali-Kusha, Marzieh Vaeztourshizi, Mehdi Kamal, Massoud Pedram:
Design Exploration of Energy-Efficient Accuracy-Configurable Dadda Multipliers With Improved Lifetime Based on Voltage Overscaling. IEEE Trans. Very Large Scale Integr. Syst. 28(5): 1207-1220 (2020) - [j189]Shaghayegh Vahdat, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications. IEEE Trans. Very Large Scale Integr. Syst. 28(7): 1578-1588 (2020) - [c463]Soheil Nazar Shahsavani, Massoud Pedram:
TDP-ADMM: A Timing Driven Placement Approach for Superconductive Electronic Circuits Using Alternating Direction Method of Multipliers. DAC 2020: 1-6 - [c462]Mengshu Sun, Pu Zhao, Mehmet Güngör, Massoud Pedram, Miriam Leeser, Xue Lin:
3D CNN Acceleration on FPGA using Hardware-Aware Pruning. DAC 2020: 1-6 - [c461]Soheil Nazar Shahsavani, Bo Zhang, Massoud Pedram:
A Timing Uncertainty-Aware Clock Tree Topology Generation Algorithm for Single Flux Quantum Circuits. DATE 2020: 278-281 - [c460]Naveen Kumar Katam, Bo Zhang, Massoud Pedram:
Ground Plane Partitioning for Current Recycling of Superconducting Circuits. DATE 2020: 478-483 - [c459]Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen:
A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. HPCA 2020: 99-110 - [c458]Ting-Ru Lin, Po-Han Huang, Luhao Wang, Massoud Pedram:
A Stochastic Framework for Virtualization Layer Deployment in Vehicular Cloud Networks. ICC Workshops 2020: 1-6 - [c457]Ting-Ru Lin, Massoud Pedram:
Retiming for High-performance Superconductive Circuits with Register Energy Minimization. ICCAD 2020: 85:1-85:9 - [c456]Mahdi Nazemi, Amirhossein Esmaili, Arash Fayyazi, Massoud Pedram:
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning. ICCAD 2020: 89:1-89:9 - [c455]Amir Erfan Eshratifar, Massoud Pedram:
Runtime Deep Model Multiplexing for Reduced Latency and Energy Consumption Inference. ICCD 2020: 263-270 - [c454]Adam Holmes, Mohammad Reza Jokar, Ghasem Pasandi, Yongshan Ding, Massoud Pedram, Frederic T. Chong:
NISQ+: Boosting quantum computing power by approximating quantum error correction. ISCA 2020: 556-569 - [c453]Ghasem Pasandi, Mackenzie Peterson, Moisés Herrera, Shahin Nazarian, Massoud Pedram:
Deep-PowerX: a deep learning-based framework for low-power approximate logic synthesis. ISLPED 2020: 73-78 - [c452]Arash Fayyazi, Amirhossein Esmaili, Massoud Pedram:
HIPE-MAGIC: a technology-aware synthesis and mapping flow for highly parallel execution of memristor-aided LoGIC. ISLPED 2020: 235-240 - [c451]Hassan Afzali-Kusha, Mehdi Kamal, Massoud Pedram:
Low-power Accuracy-configurable Carry Look-ahead Adder Based on Voltage Overscaling Technique. ISQED 2020: 67-72 - [c450]Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. ISQED 2020: 347-351 - [c449]Amirhossein Esmaili, Massoud Pedram:
Energy-aware Scheduling of Jobs in Heterogeneous Cluster Systems Using Deep Reinforcement Learning. ISQED 2020: 426-431 - [c448]Marzieh Vaeztourshizi, Mehdi Kamal, Massoud Pedram:
EGAN: A Framework for Exploring the Accuracy vs. Energy Efficiency Trade-off in Hardware Implementation of Error Resilient Applications. ISQED 2020: 438-443 - [c447]Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian:
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. ISQED 2020: 452-456 - [i45]Amir Erfan Eshratifar, Massoud Pedram:
Run-time Deep Model Multiplexing. CoRR abs/2001.05870 (2020) - [i44]Souvik Kundu, Mahdi Nazemi, Massoud Pedram, Keith M. Chugg, Peter A. Beerel:
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks. CoRR abs/2001.10710 (2020) - [i43]Souvik Kundu, Gourav Datta, Peter A. Beerel, Massoud Pedram:
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit. CoRR abs/2001.10715 (2020) - [i42]Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, Yanzhi Wang, Shahin Nazarian, Massoud Pedram:
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space. CoRR abs/2002.04776 (2020) - [i41]Mohammad Saeed Abrishami, Massoud Pedram, Shahin Nazarian:
CSM-NN: Current Source Model Based Logic Circuit Simulation - A Neural Network Approach. CoRR abs/2002.05291 (2020) - [i40]Mohammad Saeed Abrishami, Hao Ge, Justin F. Calderon, Massoud Pedram, Shahin Nazarian:
NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework. CoRR abs/2002.05292 (2020) - [i39]Arash Fayyazi, Shahin Nazarian, Massoud Pedram:
Logic Verification of Ultra-Deep Pipelined Beyond-CMOS Technologies. CoRR abs/2005.13735 (2020) - [i38]