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2020 – today
- 2023
[c74]Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. ACL (Findings) 2023: 6716-6724- [c73]Ting-Wei Wu, Changsheng Zhao, Ernie Chang, Yangyang Shi, Pierce Chuang, Vikas Chandra, Biing-Hwang Juang:
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses. ACL (1) 2023: 7551-7563 - [c72]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CVPR 2023: 9445-9454 - [i49]Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra:
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. CoRR abs/2305.17888 (2023) - [i48]Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra:
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR abs/2306.04845 (2023) - [i47]Ernie Chang, Muhammad Hassan Rashid, Pin-Jie Lin, Changsheng Zhao, Vera Demberg, Yangyang Shi, Vikas Chandra:
Revisiting Sample Size Determination in Natural Language Understanding. CoRR abs/2307.00374 (2023) - [i46]Yuan Shangguan, Haichuan Yang, Danni Li, Chunyang Wu, Yassir Fathullah, Dilin Wang, Ayushi Dalmia, Raghuraman Krishnamoorthi, Ozlem Kalinli, Junteng Jia, Jay Mahadeokar, Xin Lei, Mike Seltzer, Vikas Chandra:
TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-device ASR Models. CoRR abs/2309.01947 (2023) - [i45]Yang Li, Liangzhen Lai, Yuan Shangguan, Forrest N. Iandola, Ernie Chang, Yangyang Shi, Vikas Chandra:
Folding Attention: Memory and Power Optimization for On-Device Transformer-based Streaming Speech Recognition. CoRR abs/2309.07988 (2023) - [i44]Yangyang Shi, Gaël Le Lan, Varun Nagaraja, Zhaoheng Ni, Xinhao Mei, Ernie Chang, Forrest N. Iandola, Yang Liu, Vikas Chandra:
Enhance audio generation controllability through representation similarity regularization. CoRR abs/2309.08773 (2023) - [i43]Gaël Le Lan, Varun Nagaraja, Ernie Chang, David Kant, Zhaoheng Ni, Yangyang Shi, Forrest N. Iandola, Vikas Chandra:
Stack-and-Delay: a new codebook pattern for music generation. CoRR abs/2309.08804 (2023) - [i42]Xinhao Mei, Varun Nagaraja, Gaël Le Lan, Zhaoheng Ni, Ernie Chang, Yangyang Shi, Vikas Chandra:
FoleyGen: Visually-Guided Audio Generation. CoRR abs/2309.10537 (2023) - [i41]Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechun Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, Mohamed Elhoseiny:
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning. CoRR abs/2310.09478 (2023) - [i40]Ernie Chang, Pin-Jie Lin, Yang Li, Sidd Srinivasan, Gaël Le Lan, David Kant, Yangyang Shi, Forrest N. Iandola, Vikas Chandra:
In-Context Prompt Editing For Conditional Audio Generation. CoRR abs/2311.00895 (2023) - [i39]Ernie Chang, Sidd Srinivasan, Mahi Luthra, Pin-Jie Lin, Varun Nagaraja, Forrest N. Iandola, Zechun Liu, Zhaoheng Ni, Changsheng Zhao, Yangyang Shi, Vikas Chandra:
On The Open Prompt Challenge In Conditional Audio Generation. CoRR abs/2311.00897 (2023) - 2022
- [j11]Lita Yang
, Robert M. Radway, Yu-Hsin Chen, Tony F. Wu, Huichu Liu, Elnaz Ansari, Vikas Chandra, Subhasish Mitra, Edith Beigné:
Three-Dimensional Stacked Neural Network Accelerator Architectures for AR/VR Applications. IEEE Micro 42(6): 116-124 (2022) - [j10]Vikas Chandra, Yiran Chen, Sungjoo Yoo:
Introduction to the Special Section on Energy-Efficient AI Chips. ACM Trans. Design Autom. Electr. Syst. 27(5): 41:1-41:2 (2022) - [c71]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c70]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR 2022: 12084-12093 - [c69]Yonggan Fu, Qixuan Yu, Meng Li, Xu Ouyang, Vikas Chandra, Yingyan Lin:
Contrastive quant: quantization makes stronger contrastive learning. DAC 2022: 205-210 - [c68]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP 2022: 8197-8201 - [c67]Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra:
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR 2022 - [c66]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. ICML 2022: 6849-6862 - [c65]Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer:
Streaming parallel transducer beam search with fast slow cascaded encoders. INTERSPEECH 2022: 2083-2087 - [c64]Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra:
Feature-Align Network with Knowledge Distillation for Efficient Denoising. WACV (Workshops) 2022: 709-718 - [i38]Jay Mahadeokar, Yangyang Shi, Ke Li, Duc Le, Jiedan Zhu, Vikas Chandra, Ozlem Kalinli, Michael L. Seltzer:
Streaming parallel transducer beam search with fast-slow cascaded encoders. CoRR abs/2203.15773 (2022) - [i37]Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin:
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. CoRR abs/2206.00843 (2022) - [i36]Haichuan Yang, Zhaojun Yang, Li Wan, Biqiao Zhang, Yangyang Shi, Yiteng Huang, Ivaylo Enchev, Limin Tang, Raziel Alvarez, Ming Sun, Xin Lei, Raghuraman Krishnamoorthi, Vikas Chandra:
LiCo-Net: Linearized Convolution Network for Hardware-efficient Keyword Spotting. CoRR abs/2211.04635 (2022) - [i35]Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi:
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR abs/2211.08675 (2022) - [i34]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CoRR abs/2212.01747 (2022) - [i33]Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra:
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. CoRR abs/2212.03414 (2022) - [i32]Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra:
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion. CoRR abs/2212.06244 (2022) - 2021
- [c63]Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI 2021: 7090-7098 - [c62]Meng Li, Yilei Li, Vikas Chandra:
Improving Efficiency in Neural Network Accelerator using Operands Hamming Distance Optimization. ASP-DAC 2021: 599-604 - [c61]Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher:
Mind mappings: enabling efficient algorithm-accelerator mapping space search. ASPLOS 2021: 943-958 - [c60]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR 2021: 1055-1064 - [c59]Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR 2021: 6418-6427 - [c58]Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra:
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA 2021: 71-83 - [c57]Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra:
Memory-Efficient Speech Recognition on Smart Devices. ICASSP 2021: 8368-8372 - [c56]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR 2021 - [c55]Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin:
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference. ICML 2021: 3492-3504 - [c54]Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML 2021: 10760-10771 - [c53]Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra:
Collaborative Training of Acoustic Encoders for Speech Recognition. Interspeech 2021: 4573-4577 - [c52]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED 2021: 1-6 - [c51]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. ACM Multimedia 2021: 983-992 - [i31]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR abs/2101.09868 (2021) - [i30]Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra:
AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR abs/2102.07954 (2021) - [i29]Ganesh Venkatesh, Alagappan Valliappan, Jay Mahadeokar, Yuan Shangguan, Christian Fuegen, Michael L. Seltzer, Vikas Chandra:
Memory-efficient Speech Recognition on Smart Devices. CoRR abs/2102.11531 (2021) - [i28]Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher:
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search. CoRR abs/2103.01489 (2021) - [i27]Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra:
Feature-Align Network and Knowledge Distillation for Efficient Denoising. CoRR abs/2103.01524 (2021) - [i26]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR abs/2104.12753 (2021) - [i25]Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra:
Collaborative Training of Acoustic Encoders for Speech Recognition. CoRR abs/2106.08960 (2021) - [i24]Dilin Wang, Yuan Shangguan, Haichuan Yang, Pierce Chuang, Jiatong Zhou, Meng Li, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Noisy Training Improves E2E ASR for the Edge. CoRR abs/2107.04677 (2021) - [i23]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR abs/2110.08352 (2021) - [i22]Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR abs/2111.01236 (2021) - [i21]Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra:
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR abs/2111.01697 (2021) - 2020
- [c50]Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi:
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC 2020: 1-6 - [c49]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. ECCV Workshops (5) 2020: 85-103 - [c48]Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA 2020: 790-803 - [i20]Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi:
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR abs/2002.04116 (2020) - [i19]Meng Li, Yilei Li, Pierce Chuang, Liangzhen Lai, Vikas Chandra:
Improving Efficiency in Neural Network Accelerator Using Operands Hamming Distance optimization. CoRR abs/2002.05293 (2020) - [i18]Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR abs/2007.04452 (2020) - [i17]Ting-Wu Chin, Pierce I-Jen Chuang, Vikas Chandra, Diana Marculescu:
One Weight Bitwidth to Rule Them All. CoRR abs/2008.09916 (2020) - [i16]Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin:
DNA: Differentiable Network-Accelerator Co-Search. CoRR abs/2010.14778 (2020) - [i15]Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra:
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR abs/2011.09011 (2020) - [i14]Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR abs/2011.11778 (2020) - [i13]Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille:
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR abs/2011.13046 (2020) - [i12]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020) - [i11]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. CoRR abs/2012.02228 (2020)
2010 – 2019
- 2019
- [i10]Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra:
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. CoRR abs/1909.07437 (2019) - [i9]Dilin Wang, Meng Li, Lemeng Wu, Vikas Chandra, Qiang Liu:
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. CoRR abs/1910.03103 (2019) - [i8]Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang:
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR abs/1912.12953 (2019) - 2018
- [c47]Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh:
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. ISCA 2018: 764-775 - [i7]Liangzhen Lai, Naveen Suda, Vikas Chandra:
Not All Ops Are Created Equal! CoRR abs/1801.04326 (2018) - [i6]Liangzhen Lai, Naveen Suda, Vikas Chandra:
CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs. CoRR abs/1801.06601 (2018) - [i5]Yue Zhao, Meng Li, Liangzhen Lai, Naveen Suda, Damon Civin, Vikas Chandra:
Federated Learning with Non-IID Data. CoRR abs/1806.00582 (2018) - 2017
- [j9]Muhammad Shafique, Siddharth Garg, Vikas Chandra:
Guest Editors' Introduction: Computing in the Dark Silicon Era. IEEE Des. Test 34(2): 5-7 (2017) - [c46]Meng Li, Liangzhen Lai, Vikas Chandra, David Z. Pan:
Cross-level Monte Carlo Framework for System Vulnerability Evaluation against Fault Attack. DAC 2017: 17:1-17:6 - [c45]Vikas Chandra, Liangzhen Lai:
Exploiting data-dependence and Flip-Flop asymmetry for zero-overhead system soft error mitigation. DATE 2017: 1189-1194 - [i4]Liangzhen Lai, Naveen Suda, Vikas Chandra:
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations. CoRR abs/1703.03073 (2017) - [i3]Meng Li, Liangzhen Lai, Naveen Suda, Vikas Chandra, David Z. Pan:
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control. CoRR abs/1709.06161 (2017) - [i2]Yundong Zhang, Naveen Suda, Liangzhen Lai, Vikas Chandra:
Hello Edge: Keyword Spotting on Microcontrollers. CoRR abs/1711.07128 (2017) - [i1]Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh:
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks. CoRR abs/1712.01507 (2017) - 2016
- [j8]Robert C. Aitken, Vikas Chandra, Brian Cline, Shidhartha Das, David Pietromonaco, Lucian Shifren, Saurabh Sinha, Greg Yeric:
Predicting future complementary metal-oxide-semiconductor technology - challenges and approaches. IET Comput. Digit. Tech. 10(6): 315-322 (2016) - [c44]Naveen Suda, Vikas Chandra, Ganesh Dasika, Abinash Mohanty, Yufei Ma, Sarma B. K. Vrudhula, Jae-sun Seo, Yu Cao:
Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks. FPGA 2016: 16-25 - [c43]Liangzhen Lai, Vikas Chandra, Rob Aitken:
Resiliency in dynamically power managed designs. ICCAD 2016: 69 - [c42]Azeez Bhavnagarwala, Imran Iqbal, An Nguyen, David Ondricek, Vikas Chandra, Robert C. Aitken:
A 400mV active VMIN, 200mV retention VMIN, 2.8 GHz 64Kb SRAM with a 0.09 um2 6T bitcell in a 16nm FinFET CMOS process. VLSI Circuits 2016: 1-2 - 2015
- [j7]Mojtaba Ebrahimi, Adrian Evans, Mehdi Baradaran Tahoori, Enrico Costenaro, Dan Alexandrescu, Vikas Chandra, Razi Seyyedi:
Comprehensive Analysis of Sequential and Combinational Soft Errors in an Embedded Processor. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(10): 1586-1599 (2015) - [c41]Liangzhen Lai, Vikas Chandra, Puneet Gupta:
Evaluating and exploiting impacts of dynamic power management schemes on system reliability. CASES 2015: 39-48 - [c40]Saurabh Sinha, Lucian Shifren, Vikas Chandra, Brian Cline, Greg Yeric, Robert C. Aitken, Bingjie Cheng, Andrew R. Brown, Craig Riddet, C. Alexandar, Campbell Millar, Asen Asenov:
Circuit design perspectives for Ge FinFET at 10nm and beyond. ISQED 2015: 57-60 - 2014
- [j6]Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta:
BTI-Gater: An Aging-Resilient Clock Gating Methodology. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(2): 180-189 (2014) - [j5]Mihir R. Choudhury, Vikas Chandra, Robert C. Aitken, Kartik Mohanram:
Time-Borrowing Circuit Designs and Hardware Prototyping for Timing Error Resilience. IEEE Trans. Computers 63(2): 497-509 (2014) - [j4]Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta:
SlackProbe: A Flexible and Efficient In Situ Timing Slack Monitoring Methodology. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(8): 1168-1179 (2014) - [j3]José M. de la Rosa, John W. M. Rogers, Vikas Chandra:
Guest Editorial - Special Section on the 2013 IEEE Custom Integrated Circuits Conference (CICC 2013). IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(8): 2217-2218 (2014) - [c39]Vikas Chandra:
Quantifying workload dependent reliability in embedded processors. ASP-DAC 2014: 474-477 - [c38]Vikas Chandra:
Monitoring Reliability in Embedded Processors - A Multi-layer View. DAC 2014: 46:1-46:6 - [c37]Vikas Chandra, Subhasish Mitra, Chen-Yong Cher, Silvia Melitta Müller:
Cross layer resiliency in real world. DATE 2014: 1 - [c36]Vikas Chandra, Rob Aitken:
Mobile hardware security. Hot Chips Symposium 2014: 1-40 - [c35]Ruby B. Lee, Vikas Chandra, Leendert van Doorn, David Durham:
HotChips security tutorial. Hot Chips Symposium 2014: 1-5 - [c34]James Boley, Benton H. Calhoun, Vikas Chandra, Robert C. Aitken:
Modeling SRAM dynamic VMIN. ICICDT 2014: 1-4 - [c33]Peter Beshay, Vikas Chandra, Rob Aitken, Benton H. Calhoun:
A digital dynamic write margin sensor for low power read/write operations in 28nm SRAM. ISLPED 2014: 307-310 - [c32]Robert C. Aitken, Greg Yeric, Brian Cline, Saurabh Sinha, Lucian Shifren, Imran Iqbal, Vikas Chandra:
Physical design and FinFETs. ISPD 2014: 65-68 - 2013
- [j2]Shanthi Pavan, John W. M. Rogers, Vikas Chandra:
Guest Editorial: Special Section on the 2012 IEEE Custom Integrated Circuits Conference (CICC 2012). IEEE Trans. Circuits Syst. I Regul. Pap. 60-I(8): 1977-1978 (2013) - [c31]Greg Yeric, Brian Cline, Saurabh Sinha, David Pietromonaco, Vikas Chandra, Rob Aitken:
The past present and future of design-technology co-optimization. CICC 2013: 1-8 - [c30]Liangzhen Lai, Vikas Chandra, Robert C. Aitken, Puneet Gupta:
SlackProbe: a low overhead in situ on-line timing slack monitoring methodology. DATE 2013: 282-287 - [c29]James Boley, Vikas Chandra, Robert C. Aitken, Benton H. Calhoun:
Leveraging sensitivity analysis for fast, accurate estimation of SRAM dynamic write VMIN. DATE 2013: 1819-1824 - 2012
- [c28]Vikas Chandra, Tom Andre:
Advanced memory topics. CICC 2012: 1 - [c27]Saurabh Sinha, Greg Yeric, Vikas Chandra, Brian Cline, Yu Cao:
Exploring sub-20nm FinFET design with predictive technology models. DAC 2012: 283-288 - [c26]Saurabh Sinha, Brian Cline, Greg Yeric, Vikas Chandra, Yu Cao:
Design benchmarking to 7nm with FinFET predictive technology models. ISLPED 2012: 15-20 - [c25]Daeyeon Kim, Vikas Chandra, Robert C. Aitken, David T. Blaauw, Dennis Sylvester:
An adaptive write word-line pulse width and voltage modulation architecture for bit-interleaved 8T SRAMs. ISLPED 2012: 91-96 - 2011
- [c24]