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Peter Anthony Beerel
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2020 – today
- 2024
[j45]Yang Tang
, Peter A. Beerel, Jürgen Kurths, Guanrong Chen:
Guest Editorial: Special Issue on Learning, Optimization, and Implementation for Circuits and Systems Driven by Artificial Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 1965-1968 (2024)- [c145]Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, Peter A. Beerel:
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models. ACL (Short Papers) 2024: 161-167 - [c144]Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel:
DIA: Diffusion based Inverse Network Attack on Collaborative Inference. CVPR Workshops 2024: 124-130 - [c143]Sreetama Sarkar, Souvik Kundu, Peter A. Beerel:
RLNet: Robust Linearized Networks for Efficient Private Inference. CVPR Workshops 2024: 244-253 - [c142]Sreetama Sarkar, Souvik Kundu, Kai Zheng, Peter A. Beerel:
Block Selective Reprogramming for On-device Training of Vision Transformers. CVPR Workshops 2024: 8094-8103 - [c141]Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal:
Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. DAC 2024: 81:1-81:6 - [c140]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 - [c139]Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel:
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. ICASSP 2024: 7230-7234 - [c138]Gourav Datta, Zeyu Liu, Peter A. Beerel:
Training Ultra-Low-Latency Spiking Neural Networks from Scratch. ICASSP 2024: 13046-13050 - [c137]Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel:
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural Networks: from Algorithms to Technology. ICASSP 2024: 13256-13260 - [c136]Gourav Datta, Zeyu Liu, Peter Anthony Beerel:
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? ICLR 2024 - [c135]Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel:
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. ICLR 2024 - [c134]Xuan Zhou, Souvik Kundu, Dake Chen, Jie Huang, Peter A. Beerel:
What Makes Vision Transformers Robust Towards Bit-Flip Attack? ICPR (8) 2024: 424-438 - [c133]Robert S. Aviles, Xi Li, Lei Lu, Zhaorui Ni, Peter A. Beerel:
An Efficient and Scalable Clocking Assignment Algorithm for Multi-Threaded Multi-Phase Single Flux Quantum Circuits. ISVLSI 2024: 266-271 - [c132]Xiao Fu, Yue Hu, Prashanth Sutrave, Peter A. Beerel, Barath Raghavan:
FireLoc: Low-latency Multi-modal Wildfire Geolocation. SenSys 2024: 1-14 - [c131]Yue Hu, Gourav Datta, Kira Beerel, Yao Liu, Peter A. Beerel:
Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types. SiPS 2024: 113-118 - [i63]Robert S. Aviles, Xi Li, Lei Lu, Zhaorui Ni, Peter A. Beerel:
An Efficient and Scalable Clocking Assignment Algorithm for Multi-Threaded Multi-Phase Single Flux Quantum Circuits. CoRR abs/2401.06411 (2024) - [i62]Robert S. Aviles, Peter A. Beerel:
A Novel Optimization Algorithm for Buffer and Splitter Minimization in Phase-Skipping Adiabatic Quantum-Flux-Parametron Circuits. CoRR abs/2401.07393 (2024) - [i61]Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel:
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. CoRR abs/2402.04882 (2024) - [i60]Sreetama Sarkar, Souvik Kundu, Peter A. Beerel:
Linearizing Models for Efficient yet Robust Private Inference. CoRR abs/2402.05521 (2024) - [i59]Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal:
Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. CoRR abs/2402.15121 (2024) - [i58]Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, Peter Anthony Beerel:
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models. CoRR abs/2403.13269 (2024) - [i57]Sreetama Sarkar, Souvik Kundu, Kai Zheng, Peter A. Beerel:
Block Selective Reprogramming for On-device Training of Vision Transformers. CoRR abs/2405.10951 (2024) - [i56]Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel:
MaskVD: Region Masking for Efficient Video Object Detection. CoRR abs/2407.12067 (2024) - [i55]Robert S. Aviles, Phalgun G. K, Peter A. Beerel:
Delay Balancing with Clock-Follow-Data: Optimizing Area Delay Trade-offs for Robust Rapid Single Flux Quantum Circuits. CoRR abs/2409.04944 (2024) - [i54]Md. Abdullah-Al Kaiser, Sreetama Sarkar, Peter A. Beerel, Akhilesh R. Jaiswal, Gourav Datta:
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors. CoRR abs/2409.17341 (2024) - [i53]Md. Abdullah-Al Kaiser, Gourav Datta, Jordan Athas, Christian Duffee, Ajey P. Jacob, Pedram Khalili Amiri, Peter A. Beerel, Akhilesh R. Jaiswal:
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence. CoRR abs/2410.10592 (2024) - 2023
- [j44]Md. Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors. Frontiers Neuroinformatics 17 (2023) - [j43]Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
On the Security of Sequential Logic Locking Against Oracle-Guided Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3628-3641 (2023) - [c130]Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel:
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. CVPR Workshops 2023: 4685-4689 - [c129]Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel:
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. DAC 2023: 1-6 - [c128]Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter A. Beerel:
Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks. ACM Great Lakes Symposium on VLSI 2023: 333-338 - [c127]Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M). ACM Great Lakes Symposium on VLSI 2023: 613-618 - [c126]Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. ICASSP 2023: 1-5 - [c125]Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel:
Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs. ICASSP 2023: 1-5 - [c124]Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters:
Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments. ICASSP 2023: 1-5 - [c123]Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel:
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. ICCAD 2023: 1-9 - [c122]Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel:
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. ICCV 2023: 5093-5102 - [c121]Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel:
FireFly: A Synthetic Dataset for Ember Detection in Wildfire. ICCV (Workshops) 2023: 3767-3771 - [c120]Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel:
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. ICLR 2023 - [c119]Zihan Yin, Gourav Datta, Md. Abdullah-Al Kaiser, Peter A. Beerel, Ajey P. Jacob, Akhilesh Jaiswal:
Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence. ICRC 2023: 1-5 - [c118]Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel:
ViTA: A Vision Transformer Inference Accelerator for Edge Applications. ISCAS 2023: 1-5 - [c117]Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel:
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. ISLPED 2023: 1-6 - [c116]Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel:
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. ISQED 2023: 1-8 - [c115]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 - [c114]Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel:
Enabling ISPless Low-Power Computer Vision. WACV 2023: 2429-2438 - [c113]Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel:
Self-Attentive Pooling for Efficient Deep Learning. WACV 2023: 3963-3972 - [i52]Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel:
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. CoRR abs/2301.09254 (2023) - [i51]Souvik Kundu, Sairam Sundaresan, Sharath Nittur Sridhar, Shunlin Lu, Han Tang, Peter A. Beerel:
Sparse Mixture Once-for-all Adversarial Training for Efficient In-Situ Trade-Off Between Accuracy and Robustness of DNNs. CoRR abs/2302.03523 (2023) - [i50]Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel:
ViTA: A Vision Transformer Inference Accelerator for Edge Applications. CoRR abs/2302.09108 (2023) - [i49]Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M). CoRR abs/2304.02968 (2023) - [i48]Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel:
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. CoRR abs/2304.13266 (2023) - [i47]Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel:
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. CoRR abs/2304.13274 (2023) - [i46]Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel:
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. CoRR abs/2305.00107 (2023) - [i45]Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter A. Beerel:
Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks. CoRR abs/2306.04859 (2023) - [i44]Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel:
FireFly A Synthetic Dataset for Ember Detection in Wildfire. CoRR abs/2308.03164 (2023) - [i43]Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel:
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. CoRR abs/2309.07254 (2023) - [i42]Yue Hu, Gourav Datta, Kira Beerel, Peter A. Beerel:
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types. CoRR abs/2309.08136 (2023) - [i41]Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel:
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. CoRR abs/2311.16456 (2023) - [i40]Souvik Kundu, Rui-Jie Zhu, Akhilesh Jaiswal, Peter A. Beerel:
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology. CoRR abs/2312.01213 (2023) - [i39]Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A. Beerel:
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks. CoRR abs/2312.06900 (2023) - 2022
- [j42]Huimei Cheng, Xi Li, Yichen Gu, Peter A. Beerel:
Converting Flip-Flop to Clock-Gated 3-Phase Latch-Based Designs Using Graph-Based Retiming. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 979-992 (2022) - [j41]Peter A. Beerel, Marios Georgiou, Ben Hamlin, Alex J. Malozemoff, Pierluigi Nuzzo:
Towards a Formal Treatment of Logic Locking. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(2): 92-114 (2022) - [j40]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) - [c112]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 - [c111]Gourav Datta, Peter A. Beerel:
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? DATE 2022: 718-723 - [c110]Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel:
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. DATE 2022: 1329-1334 - [c109]Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters:
PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices. DSD 2022: 298-307 - [c108]Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels. ECCV Workshops (6) 2022: 303-316 - [c107]Moisés Herrera, Peter A. Beerel:
Radiation Hardening by Design Techniques for the Mutual Exclusion Element. ACM Great Lakes Symposium on VLSI 2022: 267-273 - [c106]Xi Li, Min Pan, Tong Liu, Peter A. Beerel:
Multi-Phase Clocking for Multi-Threaded Gate-Level-Pipelined Superconductive Logic. ISVLSI 2022: 62-67 - [c105]Gourav Datta, Souvik Kundu, Zihan Yin, Joe Mathai, Zeyu Liu, Zixu Wang, Mulin Tian, Shunlin Lu, Ravi Teja Lakkireddy, Andrew G. Schmidt, Wael Abd-Almageed, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. VLSI-SoC 2022: 1-6 - [i38]Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel:
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. CoRR abs/2201.05943 (2022) - [i37]Gourav Datta, Souvik Kundu, Zihan Yin, Ravi Teja Lakkireddy, Joe Mathai, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications. CoRR abs/2203.04737 (2022) - [i36]Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
Toward Efficient Hyperspectral Image Processing inside Camera Pixels. CoRR abs/2203.05696 (2022) - [i35]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) - [i34]Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel:
Self-Attentive Pooling for Efficient Deep Learning. CoRR abs/2209.07659 (2022) - [i33]Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel:
Enabling ISP-less Low-Power Computer Vision. CoRR abs/2210.05451 (2022) - [i32]Gourav Datta, Haoqin Deng, Robert Aviles, Peter A. Beerel:
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs. CoRR abs/2210.12613 (2022) - [i31]Haonan Wang, Connor Imes, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters:
QuantPipe: Applying Adaptive Post-Training Quantization for Distributed Transformer Pipelines in Dynamic Edge Environments. CoRR abs/2211.04515 (2022) - [i30]Gourav Datta, Zeyu Liu, Peter A. Beerel:
Hoyer regularizer is all you need for ultra low-latency spiking neural networks. CoRR abs/2212.10170 (2022) - [i29]Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision. CoRR abs/2212.10881 (2022) - [i28]Peter A. Beerel, Marios Georgiou, Ben Hamlin, Alex J. Malozemoff, Pierluigi Nuzzo:
Towards a Formal Treatment of Logic Locking. IACR Cryptol. ePrint Arch. 2022: 503 (2022) - 2021
- [j39]Sourya Dey, Sara Babakniya, Saikrishna C. Kanala, Marco Paolieri, Leana Golubchik, Peter A. Beerel, Keith M. Chugg:
Deep-n-Cheap: An Automated Efficient and Extensible Search Framework for Cost-Effective Deep Learning. SN Comput. Sci. 2(4): 265 (2021) - [j38]Gourav Datta, Yunkun Lin, Bo Zhang, Peter A. Beerel:
Metastability in Superconducting Single Flux Quantum (SFQ) Logic. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1990-2002 (2021) - [j37]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) - [c104]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 - [c103]Dake Chen, Chunxiao Lin, Peter A. Beerel:
GF-Flush: A GF(2) Algebraic Attack on Dynamically Secured Scan Chains. DFT 2021: 1-6 - [c102]Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption. HOST 2021: 281-291 - [c101]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 - [c100]Gourav Datta, Souvik Kundu, Peter A. Beerel:
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. IJCNN 2021: 1-8 - [c99]Souvik Kundu, Qirui Sun, Yao Fu, Massoud Pedram, Peter A. Beerel:
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation. NeurIPS 2021: 9181-9192 - [c98]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 - [i27]Dake Chen, Chunxiao Lin, Peter A. Beerel:
GF-Flush: A GF(2) Algebraic Attack on Secure Scan Chains. CoRR abs/2101.12279 (2021) - [i26]Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel:
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification. CoRR abs/2107.11979 (2021) - [i25]Gourav Datta, Souvik Kundu, Peter A. Beerel:
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. CoRR abs/2107.12374 (2021) - [i24]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) - [i23]Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption. CoRR abs/2108.04892 (2021) - [i22]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) - [i21]Yang Hu, Connor Imes, Xuanang Zhao, Souvik Kundu, Peter A. Beerel, Stephen P. Crago, John Paul Walters:
Pipeline Parallelism for Inference on Heterogeneous Edge Computing. CoRR abs/2110.14895 (2021) - [i20]Gourav Datta, Peter A. Beerel:
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? CoRR abs/2112.12133 (2021) - [i19]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
- [j36]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) - [j35]Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel:
SERAD: Soft Error Resilient Asynchronous Design Using a Bundled Data Protocol. IEEE Trans. Circuits Syst. I Fundam. Theory Appl. 67-I(5): 1667-1677 (2020) - [j34]Ramy N. Tadros, Peter A. Beerel:
A Theoretical Foundation for Timing Synchronous Systems Using Asynchronous Structures. ACM Trans. Design Autom. Electr. Syst. 25(2): 16:1-16:28 (2020) - [c97]Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel:
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. ACML 2020: 273-288 - [c96]Jennifer Paykin, Brian Huffman, Daniel M. Zimmerman, Peter A. Beerel:
Formal Verification of Flow Equivalence in Desynchronized Designs. ASYNC 2020: 54-62 - [c95]Felipe A. Kuentzer, Moisés Herrera, Oliver Schrape, Peter A. Beerel, Milos Krstic:
Radiation Hardened Click Controllers for Soft Error Resilient Asynchronous Architectures. ASYNC 2020: 78-85 - [c94]Huimei Cheng, Xi Li, Yichen Gu, Peter A. Beerel:
Saving Power by Converting Flip-Flop to 3-Phase Latch-Based Designs. DATE 2020: 574-579 - [c93]Arnab Sanyal, Peter A. Beerel, Keith M. Chugg:
Neural Network Training with Approximate Logarithmic Computations. ICASSP 2020: 3122-3126 - [c92]Gourav Datta, Peter A. Beerel:
Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers. ISCAS 2020: 1-5 - [i18]Sai Aparna Aketi, Smriti Gupta, Huimei Cheng, Joycee Mekie, Peter A. Beerel:
SERAD: Soft Error Resilient Asynchronous Design using a Bundled Data Protocol. CoRR abs/2001.04039 (2020) - [i17]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) - [i16]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) - [i15]Sourya Dey, Saikrishna C. Kanala, Keith M. Chugg, Peter A. Beerel:
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning. CoRR abs/2004.00974 (2020) - [i14]Jennifer Paykin, Brian Huffman, Daniel M. Zimmerman, Peter A. Beerel:
Formal Verification of Flow Equivalence in Desynchronized Designs. CoRR abs/2004.10655 (2020) - [i13]Souvik Kundu, Mahdi Nazemi, Peter A. Beerel, Massoud Pedram:
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs. CoRR abs/2011.03083 (2020)
2010 – 2019
- 2019
- [j33]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Pre-Defined Sparse Neural Networks With Hardware Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 332-345 (2019) - [j32]Yang Zhang, Ji Li, Huimei Cheng, Haipeng Zha, Jeffrey Draper, Peter A. Beerel:
Yield modelling and analysis of bundled data and ring-oscillator based designs. IET Comput. Digit. Tech. 13(3): 262-272 (2019) - [j31]Huimei Cheng, Hsiao-Lun Wang, Minghe Zhang, Dylan Hand, Peter A. Beerel:
Automatic Retiming of Two-Phase Latch-Based Resilient Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(7): 1305-1316 (2019) - [c91]Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg:
pSConv: A Pre-defined S parse Kernel Based Convolution for Deep CNNs. Allerton 2019: 100-107 - [c90]Arash Fayyazi, Souvik Kundu, Shahin Nazarian, Peter A. Beerel, Massoud Pedram:
CSrram: Area-Efficient Low-Power Ex-Situ Training Framework for Memristive Neuromorphic Circuits Based on Clustered Sparsity. ISVLSI 2019: 465-470 - [c89]Vivek V. Menon, Gaurav Kolhe, Andrew G. Schmidt, Joshua S. Monson, Matthew French, Yinghua Hu, Peter A. Beerel, Pierluigi Nuzzo:
System-Level Framework for Logic Obfuscation with Quantified Metrics for Evaluation. SecDev 2019: 89-100 - [i12]Huimei Cheng, Yichen Gu, Peter A. Beerel:
Automatic Conversion from Flip-flop to 3-phase Latch-based Designs. CoRR abs/1906.10666 (2019) - [i11]Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg:
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. CoRR abs/1910.00724 (2019) - [i10]Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel:
Metastability-Resilient Synchronization FIFO for SFQ Logic. CoRR abs/1910.04907 (2019) - [i9]Arnab Sanyal, Peter A. Beerel, Keith M. Chugg:
Neural Network Training with Approximate Logarithmic Computations. CoRR abs/1910.09876 (2019) - [i8]Tomohiro Yoneda, Peter A. Beerel, Alex Yakovlev, Masashi Imai:
Asynchronous Circuit Design and its Applications: Past, Present and Future (NII Shonan Meeting 133). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j30]Hsin-Ho Huang, Huimei Cheng, Chris Chu, Peter A. Beerel:
Area Optimization of Timing Resilient Designs Using Resynthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(6): 1197-1210 (2018) - [j29]Matheus T. Moreira, Peter A. Beerel, Marcos L. L. Sartori, Ney Laert Vilar Calazans:
NCL Synthesis With Conventional EDA Tools: Technology Mapping and Optimization. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(6): 1981-1993 (2018) - [c88]Yang Zhang, Huimei Cheng, Dake Chen, Huayu Fu, Shikhanshu Agarwal, Mark Lin, Peter A. Beerel:
Challenges in Building an Open-Source Flow from RTL to Bundled-Data Design. ASYNC 2018: 26-27 - [c87]Sourya Dey, Keith M. Chugg, Peter A. Beerel:
Morse Code Datasets for Machine Learning. ICCCNT 2018: 1-7 - [c86]Peter A. Beerel, Massoud Pedram:
Opportunities for Machine Learning in Electronic Design Automation. ISCAS 2018: 1-5 - [c85]Ramy N. Tadros, Peter A. Beerel:
A Robust and Self-Adaptive Clocking Technique for RSFQ Circuits - The Architecture. ISCAS 2018: 1-5 - [c84]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Characterizing Sparse Connectivity Patterns in Neural Networks. ITA 2018: 1-9 - [c83]Moisés Herrera, Tingyu Wang, Peter A. Beerel:
Blade-OC Asynchronous Resilient Template ‡ This research has been supported in part by NSF Grant #1619415. PATMOS 2018: 147-154 - [c82]Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel:
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. ReConFig 2018: 1-4 - [i7]Sourya Dey, Diandian Chen, Zongyang Li, Souvik Kundu, Kuan-Wen Huang, Keith M. Chugg, Peter A. Beerel:
A Highly Parallel FPGA Implementation of Sparse Neural Network Training. CoRR abs/1806.01087 (2018) - [i6]Sourya Dey, Keith M. Chugg, Peter A. Beerel:
Morse Code Datasets for Machine Learning. CoRR abs/1807.04239 (2018) - [i5]Arash Fayyazi, Souvik Kundu, Shahin Nazarian, Peter A. Beerel, Massoud Pedram:
SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application. CoRR abs/1809.03476 (2018) - [i4]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Pre-Defined Sparse Neural Networks with Hardware Acceleration. CoRR abs/1812.01164 (2018) - 2017
- [j28]Arash Saifhashemi, Hsin-Ho Huang, Peter A. Beerel:
Reconditioning: A Framework for Automatic Power Optimization of QDI Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(2): 265-278 (2017) - [c81]Sourya Dey, Peter A. Beerel, Keith M. Chugg:
Interleaver design for deep neural networks. ACSSC 2017: 1979-1983 - [c80]Yang Zhang, Haipeng Zha, Vaishnavi Sahir, Huimei Cheng, Peter A. Beerel:
Test Margin and Yield in Bundled Data and Ring-Oscillator Based Designs. ASYNC 2017: 85-93 - [c79]Hsiao-Lun Wang, Minghe Zhang, Peter A. Beerel:
Retiming of Two-Phase Latch-Based Resilient Circuits. DAC 2017: 70:1-70:6 - [c78]Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. ICANN (1) 2017: 273-280 - [i3]Sourya Dey, Yinan Shao, Keith M. Chugg, Peter A. Beerel:
Accelerating Training of Deep Neural Networks via Sparse Edge Processing. CoRR abs/1711.01343 (2017) - [i2]Sourya Dey, Kuan-Wen Huang, Peter A. Beerel, Keith M. Chugg:
Characterizing Sparse Connectivity Patterns in Neural Networks. CoRR abs/1711.02131 (2017) - [i1]Sourya Dey, Peter A. Beerel, Keith M. Chugg:
Interleaver Design for Deep Neural Networks. CoRR abs/1711.06935 (2017) - 2016
- [j27]Ajay Singhvi, Matheus T. Moreira, Ramy N. Tadros, Ney Laert Vilar Calazans, Peter A. Beerel:
A Fine-Grain, Uniform, Energy-Efficient Delay Element for 2-Phase Bundled-Data Circuits. ACM J. Emerg. Technol. Comput. Syst. 13(2): 15:1-15:23 (2016) - [j26]Yang Zhang, Leandro S. Heck, Matheus T. Moreira, David Zar, Melvin A. Breuer, Ney Laert Vilar Calazans, Peter A. Beerel:
Testable MUTEX Design. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(8): 1188-1199 (2016) - [j25]Ramy N. Tadros, Weizhe Hua, Matheus T. Moreira, Ney Laert Vilar Calazans, Peter A. Beerel:
A Low-Power Low-Area Error-Detecting Latch for Resilient Architectures in 28-nm FDSOI. IEEE Trans. Circuits Syst. II Express Briefs 63-II(9): 858-862 (2016) - [c77]Ramy N. Tadros, Weizhe Hua, Matheus Gibiluka, Matheus T. Moreira, Ney Laert Vilar Calazans, Peter A. Beerel:
Analysis and Design of Delay Lines for Dynamic Voltage Scaling Applications. ASYNC 2016: 11-18 - [c76]Hsin-Ho Huang, Huimei Cheng, Chris C. N. Chu, Peter A. Beerel:
Area optimization of resilient designs guided by a mixed integer geometric program. DAC 2016: 130:1-130:6 - [c75]Weizhe Hua, Ramy N. Tadros, Peter A. Beerel:
Low Area, Low Power, Robust, Highly Sensitive Error Detecting Latch for Resilient Architectures. ISLPED 2016: 16-21 - 2015
- [c74]Dylan Hand, Matheus Trevisan Moreira, Hsin-Ho Huang, Danlei Chen, Frederico Butzke, Zhichao Li, Matheus Gibiluka, Melvin A. Breuer, Ney Laert Vilar Calazans, Peter A. Beerel:
Blade - A Timing Violation Resilient Asynchronous Template. ASYNC 2015: 21-28 - [c73]Dylan Hand, Hsin-Ho Huang, Benmao Cheng, Yang Zhang, Matheus Trevisan Moreira, Melvin A. Breuer, Ney Laert Vilar Calazans, Peter A. Beerel:
Performance Optimization and Analysis of Blade Designs under Delay Variability. ASYNC 2015: 61-68 - [c72]Yang Zhang, Leandro S. Heck, Matheus T. Moreira, David Zar, Melvin A. Breuer, Ney Laert Vilar Calazans, Peter A. Beerel:
Design and Analysis of Testable Mutual Exclusion Elements. ASYNC 2015: 124-131 - [c71]Arash Saifhashemi, Hsin-Ho Huang, Priyanka Bhalerao, Peter A. Beerel:
Logical equivalence checking of asynchronous circuits using commercial tools. DATE 2015: 1563-1566 - [c70]Peter A. Beerel, Ney Laert Vilar Calazans:
A path towards average-case silicon via asynchronous resilient bundled-data design. ECCTD 2015: 1-4 - [c69]Matheus T. Moreira, Dylan Hand, Peter A. Beerel, Ney Laert Vilar Calazans:
TDTB error detecting latches: Timing violation sensitivity analysis and optimization. ISQED 2015: 379-383 - [c68]Ajay Singhvi, Matheus T. Moreira, Ramy N. Tadros, Ney Laert Vilar Calazans, Peter A. Beerel:
A Fine-Grained, Uniform, Energy-Efficient Delay Element for FD-SOI Technologies. ISVLSI 2015: 27-32 - [c67]Guilherme Heck, Leandro S. Heck, Ajay Singhvi, Matheus T. Moreira, Peter A. Beerel, Ney Laert Vilar Calazans:
Analysis and Optimization of Programmable Delay Elements for 2-Phase Bundled-Data Circuits. VLSID 2015: 321-326 - 2014
- [j24]Georgios D. Dimou, Peter A. Beerel, Andrew Lines:
Performance-Driven Clustering of Asynchronous Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(2): 197-209 (2014) - [j23]Pankaj Golani, Peter A. Beerel:
Area-Efficient Asynchronous Multilevel Single-Track Pipeline Template. IEEE Trans. Very Large Scale Integr. Syst. 22(4): 838-849 (2014) - [c66]Mehrdad Najibi, Peter A. Beerel:
Integrated Fanout Optimization and Slack Matching of Asynchronous Circuits. ASYNC 2014: 69-76 - [c65]Arash Saifhashemi, Hsin-Ho Huang, Peter A. Beerel:
Reconditioning: Automatic Power Optimization of QDI Circuits. ASYNC 2014: 77-84 - [c64]Mike Davies, Andrew Lines, Jon Dama, Alain Gravel, Robert Southworth, Georgios D. Dimou, Peter A. Beerel:
A 72-Port 10G Ethernet Switch/Router Using Quasi-Delay-Insensitive Asynchronous Design. ASYNC 2014: 103-104 - [c63]Arash Saifhashemi, Dylan Hand, Peter A. Beerel, William Koven, Hong Wang:
Performance and Area Optimization of a Bundled-Data Intel Processor through Resynthesis. ASYNC 2014: 110-111 - [c62]Guowei Zhang, Peter A. Beerel:
Stochastic analysis of Bubble Razor. DATE 2014: 1-6 - [c61]Gang Wu, Tao Lin, Hsin-Ho Huang, Chris Chu, Peter A. Beerel:
Asynchronous circuit placement by lagrangian relaxation. ICCAD 2014: 641-646 - 2013
- [c60]Mehrdad Najibi, Peter A. Beerel:
Deriving Performance Bounds for Conditional Asynchronous Circuits Using Linear Programing. ASYNC 2013: 75-82 - [c59]Mehrdad Najibi, Peter A. Beerel:
Slack matching mode-based asynchronous circuits for average-case performance. ICCAD 2013: 219-225 - 2012
- [c58]Mehrdad Najibi, Peter A. Beerel:
Performance Bounds of Asynchronous Circuits with Mode-Based Conditional Behavior. ASYNC 2012: 9-16 - [c57]Pavlos M. Mattheakis, Christos P. Sotiriou, Peter A. Beerel:
A polynomial time flow for implementing free-choice Petri-nets. ICCD 2012: 227-234 - [c56]Arash Saifhashemi, Peter A. Beerel:
Observability Conditions and Automatic Operand-Isolation in High-Throughput Asynchronous Pipelines. PATMOS 2012: 205-214 - 2011
- [j22]Peter A. Beerel, Georgios D. Dimou, Andrew Lines:
Proteus: An ASIC Flow for GHz Asynchronous Designs. IEEE Des. Test Comput. 28(5): 36-51 (2011) - [j21]Kenneth S. Stevens, Pankaj Golani, Peter A. Beerel:
Energy and Performance Models for Synchronous and Asynchronous Communication. IEEE Trans. Very Large Scale Integr. Syst. 19(3): 369-382 (2011) - [c55]Pankaj Golani, Peter A. Beerel:
An area-efficient multi-level single-track pipeline template. DATE 2011: 1509-1512 - [c54]Georgios D. Dimou, Peter A. Beerel, Andrew Lines:
Performance-Driven Clustering of Asynchronous Circuits. PATMOS 2011: 92-101 - [c53]Arash Saifhashemi, Peter A. Beerel:
SystemVerilogCSP: Modeling Digital Asynchronous Circuits Using SystemVerilog Interfaces. CPA 2011: 287-302 - 2010
- [c52]Prasad Joshi, Peter A. Beerel, Marly Roncken, Ivan E. Sutherland:
Timing Verification of GasP Asynchronous Circuits: Predicted Delay Variations Observed by Experiment. Concurrency, Compositionality, and Correctness 2010: 260-276
2000 – 2009
- 2009
- [c51]Ritej Bachhawat, Pankaj Golani, Peter A. Beerel:
Crosstalk in High-Performance Asynchronous Designs. PATMOS 2009: 136-145 - 2007
- [j20]Peter A. Beerel, Marly Roncken:
Low Power and Energy Efficient Asynchronous Design. J. Low Power Electron. 3(3): 234-253 (2007) - [c50]Pankaj Golani, Georgios D. Dimou, Mallika Prakash, Peter A. Beerel:
Design of a High-Speed Asynchronous Turbo Decoder. ASYNC 2007: 49-59 - 2006
- [j19]Pankaj Golani, Peter A. Beerel:
Back-Annotation in High-Speed Asynchronous Design. J. Low Power Electron. 2(1): 37-44 (2006) - [j18]Marcos Ferretti, Peter A. Beerel:
High performance asynchronous design using single-track full-buffer standard cells. IEEE J. Solid State Circuits 41(6): 1444-1454 (2006) - [j17]Sangyun Kim, Peter A. Beerel:
Pipeline optimization for asynchronous circuits: complexity analysis and an efficient optimal algorithm. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25(3): 389-402 (2006) - [j16]Recep O. Ozdag, Peter A. Beerel:
An Asynchronous Low-Power High-Performance Sequential Decoder Implemented With QDI Templates. IEEE Trans. Very Large Scale Integr. Syst. 14(9): 975-985 (2006) - [c49]Sunan Tugsinavisut, Roger Su, Peter A. Beerel:
High-level Synthesis for Highly Concurrent Hardware Systems. ACSD 2006: 79-90 - [c48]Peter A. Beerel, Nam-Hoon Kim, Andrew Lines, Mike Davies:
Slack Matching Asynchronous Designs. ASYNC 2006: 184-194 - [c47]Pankaj Golani, Peter A. Beerel:
High-Performance Noise-Robust Asynchronous Circuits. ISVLSI 2006: 173-178 - [c46]Peter A. Beerel:
Asynchronous Design for High-Speed and Low-Power Circuits. PATMOS 2006: 669 - 2005
- [j15]Sunan Tugsinavisut, Youpyo Hong, Daewook Kim, Kyeounsoo Kim, Peter A. Beerel:
Efficient asynchronous bundled-data pipelines for DCT matrix-vector multiplication. IEEE Trans. Very Large Scale Integr. Syst. 13(4): 448-461 (2005) - [c45]Pankaj Golani, Peter A. Beerel:
Back Annotation in High Speed Asynchronous Design. PATMOS 2005: 227-236 - [c44]Arash Saifhashemi, Peter A. Beerel:
High Level Modeling of Channel-Based Asynchronous Circuits Using Verilog. CPA 2005: 275-288 - 2004
- [c43]Marcos Ferretti, Recep O. Ozdag, Peter A. Beerel:
High Performance Asynchronous ASIC Back-End Design Flow Using Single-Track Full-Buffer Standard Cells. ASYNC 2004: 95-105 - [c42]Recep O. Ozdag, Peter A. Beerel:
A Channel Based Asynchronous Low Power High Performance Standard-Cell Based Sequential Decoder Implemented with QDI Templates. ASYNC 2004: 187-197 - [c41]Nam-Hoon Kim, Peter A. Beerel, Ralph Peng:
A memory allocation and assignment method using multiway partitioning. SoCC 2004: 143-144 - [c40]Peter A. Beerel, Jordi Cortadella, Alex Kondratyev:
Bridging the Gap between Asynchronous Design and Designers. VLSI Design 2004: 18-20 - 2003
- [j14]Joong-Seok Moon, William C. Athas, Sigfrid D. Soli, Jeffrey T. Draper, Peter A. Beerel:
Voltage-pulse driven harmonic resonant rail drivers for low-power applications. IEEE Trans. Very Large Scale Integr. Syst. 11(5): 762-777 (2003) - [c39]Sunan Tugsinavisut, Suwicha Jirayucharoensak, Peter A. Beerel:
An asynchronous pipeline comparisons with application to DCT matrix-vector multiplication. ISCAS (5) 2003: 361-364 - 2002
- [c38]Peter A. Beerel, Aiguo Xie:
Performance Analysis of Asynchronous Circuits Using Markov Chains. Concurrency and Hardware Design 2002: 313-344 - [c37]Recep O. Ozdag, Peter A. Beerel:
High-Speed QDI Asynchronous Pipelines. ASYNC 2002: 13-22 - [c36]Peter A. Beerel, Ken S. Stevens, Hoshik Kim:
Relative Timing Based Verification of Timed Circuits and Systems. ASYNC 2002: 115-124 - [c35]Joong-Seok Moon, William C. Athas, Peter A. Beerel, Jeffrey T. Draper:
Low-power sequential access memory design. CICC 2002: 111-114 - [c34]Recep O. Ozdag, Peter A. Beerel, Montek Singh, Steven M. Nowick:
High-Speed Non-Linear Asynchronous Pipelines. DATE 2002: 1000-1007 - [c33]Marcos Ferretti, Peter A. Beerel:
Single-Track Asynchronous Pipeline Templates Using 1-of-N Encoding. DATE 2002: 1008-1015 - [c32]Sunan Tugsinavisut, Peter A. Beerel:
Control Circuit Templates for Asynchronous Bundled-Data Pipelines. DATE 2002: 1098 - [c31]Peter A. Beerel:
Asynchronous Circuits: An Increasingly Practical Design Solution (invited). ISQED 2002: 367-372 - [c30]Sangyun Kim, Sunan Tugsinavisut, Peter A. Beerel:
Reducing probabilistic timed petri nets for asynchronous architectural analysis. Timing Issues in the Specification and Synthesis of Digital Systems 2002: 140-147 - 2001
- [j13]Peter A. Beerel, Keith M. Chugg:
A low latency SISO with application to broadband turbo decoding. IEEE J. Sel. Areas Commun. 19(5): 860-870 (2001) - [j12]Kenneth S. Stevens, Shai Rotem, Ran Ginosar, Peter A. Beerel, Chris J. Myers, Kenneth Y. Yun, Rakefet Kol, Charles Dike, Marly Roncken:
An asynchronous instruction length decoder. IEEE J. Solid State Circuits 36(2): 217-228 (2001) - [c29]Joong-Seok Moon, William C. Athas, Peter A. Beerel:
Theory and practical implementation of harmonic resonant rail driver. ISLPED 2001: 153-158 - 2000
- [j11]Youpyo Hong, Peter A. Beerel, Jerry R. Burch, Kenneth L. McMillan:
Sibling-substitution-based BDD minimization using don't cares. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 19(1): 44-55 (2000) - [j10]Aiguo Xie, Peter A. Beerel:
Implicit enumeration of strongly connected components and anapplication to formal verification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 19(10): 1225-1230 (2000) - [c28]Sangyun Kim, Peter A. Beerel:
Pipeline Optimization for Asynchronous Circuits: Complexity Analysis and an Efficient Optimal Algorithm. ICCAD 2000: 296-302 - [c27]Kyeounsoo Kim, Peter A. Beerel, Youpyo Hong:
An asynchronous matrix-vector multiplier for discrete cosine transform. ISLPED 2000: 256-261
1990 – 1999
- 1999
- [j9]Aiguo Xie, Peter A. Beerel:
Accelerating Markovian analysis of asynchronous systems using state compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18(7): 869-888 (1999) - [j8]Wei-Chun Chou, Peter A. Beerel, Kenneth Y. Yun:
Average-case technology mapping of asynchronous burst-mode circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18(10): 1418-1434 (1999) - [c26]Shai Rotem, Ken S. Stevens, Charles Dike, Marly Roncken, Boris Agapiev, Ran Ginosar, Rakefet Kol, Peter A. Beerel, Chris J. Myers, Kenneth Y. Yun:
RAPPID: An Asynchronous Instruction Length Decoder. ASYNC 1999: 60-70 - [c25]Aiguo Xie, Sangyun Kim, Peter A. Beerel:
Bounding Average Time Separations of Events in Stochastic Timed Petri Nets with Choice. ASYNC 1999: 94-107 - [c24]Hüsnü Yenigün, Vladimir Levin, Doron A. Peled, Peter A. Beerel:
Hazard-Freedom Checking in Speed-Independent Systems. CHARME 1999: 317-320 - [c23]Youpyo Hong, Peter A. Beerel:
Symbolic Reachability Analysis of Large Finite State Machines Using Don't Cares. DATE 1999: 13- - [c22]Aiguo Xie, Peter A. Beerel:
Implicit enumeration of strongly connected components. ICCAD 1999: 37-40 - [c21]Peter A. Beerel, Sangyun Kim, Pei-Chuan Yeh, Kyeounsoo Kim:
Statistically optimized asynchronous barrel shifters for variable length codecs. ISLPED 1999: 261-263 - 1998
- [j7]Peter A. Beerel, Jerry R. Burch, Teresa H. Meng:
Checking Combinational Equivalence of Speed-Independent Circuits. Formal Methods Syst. Des. 13(1): 37-85 (1998) - [j6]Peter A. Beerel, Chris J. Myers, Teresa H. Meng:
Covering conditions and algorithms for the synthesis of speed-independent circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 17(3): 205-219 (1998) - [j5]Aiguo Xie, Peter A. Beerel:
Efficient state classification of finite-state Markov chains. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 17(12): 1334-1339 (1998) - [j4]Kenneth Y. Yun, Peter A. Beerel, Vida Vakilotojar, Ayoob E. Dooply, Julio Arceo:
The design and verification of a high-performance low-control-overhead asynchronous differential equation solver. IEEE Trans. Very Large Scale Integr. Syst. 6(4): 643-655 (1998) - [c20]Wei-Chun Chou, Peter A. Beerel, Ran Ginosar, Rakefet Kol, Chris J. Myers, Shai Rotem, Ken S. Stevens, Kenneth Y. Yun:
Average-Case Optimized Technology Mapping of One-Hot Domino CircuitsAverage-Case Optimized Transistor-Level Technology Mapping of Extended Burst-Mode Circuits. ASYNC 1998: 80- - [c19]Aiguo Xie, Peter A. Beerel:
Accelerating Markovian Analysis of Asynchronous Systems using String- based State Compression. ASYNC 1998: 247- - [c18]Youpyo Hong, Peter A. Beerel, Luciano Lavagno, Ellen Sentovich:
Don't Care-Based BDD Minimization for Embedded Software. DAC 1998: 506-509 - [c17]Aiguo Xie, Peter A. Beerel:
Efficient State Classification of Finite State Markov Chains. DAC 1998: 605-610 - [c16]Timothy Mark Pinkston, Peter A. Beerel:
Computer engineering using innovative instructional technologies at the University of Southern California. WCAE@ISCA 1998: 27 - 1997
- [j3]Vida Vakilotojar, Peter A. Beerel:
RTL verification of timed asynchronous and heterogeneous systems using symbolic model checking. Integr. 24(1): 19-35 (1997) - [c15]Vida Vakilotojar, Peter A. Beerel:
RTL verification of timed asynchronous and heterogeneous systems using symbolic model checking. ASP-DAC 1997: 181-188 - [c14]Aiguo Xie, Peter A. Beerel:
Symbolic Techniques for Performance Analysis of Timed Systems Based on Average Time Separation of Events. ASYNC 1997: 64-75 - [c13]Kenneth Y. Yun, Ayoob E. Dooply, Julio Arceo, Peter A. Beerel, Vida Vakilotojar:
The Design and Verification of A High-Performance Low-Control-Overhead Asynchronous Differential Equation Solver. ASYNC 1997: 140- - [c12]Steven M. Nowick, Kenneth Y. Yun, Ayoob E. Dooply, Peter A. Beerel:
Speculative Completion for the Design of High-Performance Asynchronous Dynamic Adders. ASYNC 1997: 210- - [c11]Youpyo Hong, Peter A. Beerel, Jerry R. Burch, Kenneth L. McMillan:
Safe BDD Minimization Using Don't Cares. DAC 1997: 208-213 - 1996
- [j2]Peter A. Beerel, Cheng-Ta Hsieh, Suhrid A. Wadekar:
Estimation of energy consumption in speed-independent control circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 15(6): 672-680 (1996) - [c10]Kenneth Y. Yun, Peter A. Beerel, Julio Arceo:
High-performance asynchronous pipeline circuits. ASYNC 1996: 17-28 - [c9]Peter A. Beerel, Kenneth Y. Yun, Wei-Chun Chou:
Optimizing average-case delay in technology mapping of burst-mode circuits. ASYNC 1996: 244-260 - [c8]Peter A. Beerel, Wei-Chun Chou, Kenneth Y. Yun:
A heuristic covering technique for optimizing average-case delay in the technology mapping of asynchronous burst-mode circuits. EURO-DAC 1996: 284-289 - 1995
- [c7]Chris J. Myers, Peter A. Beerel, Teresa H.-Y. Meng:
Technology mapping of timed circuits. ASYNC 1995: 138- - [c6]Peter A. Beerel, Kenneth Y. Yun, Steven M. Nowick, Pei-Chuan Yeh:
Estimation and bounding of energy consumption in burst-mode control circuits. ICCAD 1995: 26-33 - [c5]Peter A. Beerel, Cheng-Ta Hsieh, Suhrid A. Wadekar:
Estimation of energy consumption in speed-independent control circuits. ISLPD 1995: 39-44 - 1994
- [c4]Peter A. Beerel, Jerry R. Burch, Teresa H.-Y. Meng:
Sufficient conditions for correct gate-level speed-independent circuits. ASYNC 1994: 33-43 - 1993
- [c3]Peter A. Beerel, Jerry R. Burch, Teresa H.-Y. Meng:
Efficient verification of determinate speed-independent circuits. ICCAD 1993: 261-267 - 1992
- [j1]Peter A. Beerel, Teresa H.-Y. Meng:
Semi-modularity and testability of speed-independent circuits. Integr. 13(3): 301-322 (1992) - [c2]Peter A. Beerel, Teresa H.-Y. Meng:
Automatic gate-level synthesis of speed-independent circuits. ICCAD 1992: 581-586 - 1991
- [c1]Peter A. Beerel, Teresa H.-Y. Meng:
Testability of Asynchronous Timed Control Circuits with Delay Assumptions. DAC 1991: 446-451
Coauthor Index
Akhilesh Jaiswal 0001
aka: Akhilesh R. Jaiswal
aka: Akhilesh R. Jaiswal
[c145] [c144] [c143] [c142] [c137] [c134] [i60] [i58] [i57] [i56] [c130] [c129] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c118] [c115] [c113] [i52] [i51] [i50] [i49] [i48] [i47] [i44] [i40] [j40] [c112] [c109] [c105] [i37] [i35] [i34] [i31] [i29] [c104] [c101] [c100] [c99] [c98] [i26] [i25] [i24] [i22] [i21] [i19] [j36] [i17] [i16] [i13] [c91] [c90] [i11] [i10] [c82] [i7] [i5]
Matheus T. Moreira
aka: Matheus Trevisan Moreira
aka: Matheus Trevisan Moreira
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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 2024-12-18 19:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
