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2020 – today
- 2023
[j95]Shunyao Wu
, Chaitali Chakrabarti, Ahmed Alkhateeb:
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures. IEEE Open J. Commun. Soc. 4: 392-412 (2023)- [j94]Hanguang Yu, Andrew Herschfelt, Shunyao Wu, Sharanya Srinivas, Yang Li, Nunzio Sciammetta, Leslie Smith, Klaus Rueger, Hyunseok Lee, Chaitali Chakrabarti, Daniel W. Bliss:
Communications and High-Precision Positioning (CHP2): Hardware Architecture, Implementation, and Validation. Sensors 23(3): 1343 (2023) - [c172]Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger:
MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR 2023 - [i20]Yichen Yang, Jingtao Li, Nishil Talati, Subhankar Pal, Siying Feng, Chaitali Chakrabarti, Trevor N. Mudge, Ronald G. Dreslinski:
Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher. CoRR abs/2301.12312 (2023) - [i19]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Model Extraction Attacks on Split Federated Learning. CoRR abs/2303.08581 (2023) - 2022
- [j93]Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao:
Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 18(2): 34:1-34:22 (2022) - [j92]Sung Kim, Morteza Fayazi, Alhad Daftardar, Kuan-Yu Chen, Jielun Tan, Subhankar Pal, Tutu Ajayi, Yan Xiong, Trevor N. Mudge, Chaitali Chakrabarti, David T. Blaauw, Ronald G. Dreslinski, Hun-Seok Kim:
Versa: A 36-Core Systolic Multiprocessor With Dynamically Reconfigurable Interconnect and Memory. IEEE J. Solid State Circuits 57(4): 986-998 (2022) - [j91]Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb:
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. IEEE Open J. Commun. Soc. 3: 776-796 (2022) - [j90]Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7928-7939 (2022) - [j89]Xing Chen, Ümit Y. Ogras, Chaitali Chakrabarti:
Probabilistic Risk-Aware Scheduling with Deadline Constraint for Heterogeneous SoCs. ACM Trans. Embed. Comput. Syst. 21(2): 15:1-15:27 (2022) - [j88]Xing Chen, Jingtao Li, Chaitali Chakrabarti:
Energy and Loss-aware Selective Updating for SplitFed Learning with Energy Harvesting-Powered Devices. J. Signal Process. Syst. 94(10): 961-975 (2022) - [c171]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CVPR 2022: 10184-10192 - [c170]Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb:
Deep Learning for Moving Blockage Prediction using Real mmWave Measurements. ICC 2022: 3753-3758 - [c169]Gokul Krishnan, A. Alper Goksoy, Sumit K. Mandal, Zhenyu Wang, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture. ICCAD 2022: 8:1-8:9 - [c168]Yan Xiong, Jingtao Li, David T. Blaauw, H.-S. Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Improving Energy Efficiency of Convolutional Neural Networks on Multi-core Architectures through Run-time Reconfiguration. ISCAS 2022: 375-379 - [c167]Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, M.-H. Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Y. Fu, A. Alper Goksoy, X. He, Md Sahil Hassan, Andrew Herschfelt, Jacob Holtom, H.-S. Kim, A. N. Krishnakumar, Y. Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, B. McCall, Trevor N. Mudge, Ümit Y. Ogras, V. Pandey, S. Siddiqui, Yu-Hsiu Sun, Adarsh Venkataramani, X. Wei, B. R. Willis, Hanguang Yu, Yufan Yue:
Enabling Software-Defined RF Convergence with a Novel Coarse-Scale Heterogeneous Processor. ISCAS 2022: 443-447 - [c166]Liangliang Chang, Joshua Mack, Benjamin Willis, Xing Chen, John Brunhaver, Ali Akoglu, Chaitali Chakrabarti:
Profile-Guided Parallel Task Extraction and Execution for Domain Specific Heterogeneous SoC. ISPA/BDCloud/SocialCom/SustainCom 2022: 913-920 - [c165]Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti:
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. SiPS 2022: 1-6 - [c164]Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb:
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. WCNC 2022: 2631-2636 - [i18]Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. CoRR abs/2205.04007 (2022) - [i17]Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti:
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. CoRR abs/2208.08795 (2022) - [i16]Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb:
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures. CoRR abs/2211.09535 (2022) - [i15]Liangliang Chang, Joshua Mack, Benjamin Willis, Xing Chen, John Brunhaver, Ali Akoglu, Chaitali Chakrabarti:
Profile-Guided Parallel Task Extraction and Execution for Domain Specific Heterogeneous SoC. CoRR abs/2211.14547 (2022) - 2021
- [j87]Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao:
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 20(5s): 68:1-68:24 (2021) - [j86]Jian Zhou, Sumit K. Mandal, Brendan L. West, Siyuan Wei, Ümit Y. Ogras, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti:
Front-End Architecture Design for Low-Complexity 3-D Ultrasound Imaging Based on Synthetic Aperture Sequential Beamforming. IEEE Trans. Very Large Scale Integr. Syst. 29(2): 333-346 (2021) - [c163]Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-Sun Seo, Ümit Y. Ogras, Yu Cao:
System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration. ASICON 2021: 1-4 - [c162]Siying Feng, Jiawen Sun, Subhankar Pal, Xin He, Kuba Kaszyk, Dong-Hyeon Park, John Magnus Morton, Trevor N. Mudge, Murray Cole, Michael F. P. O'Boyle, Chaitali Chakrabarti, Ronald G. Dreslinski:
CoSPARSE: A Software and Hardware Reconfigurable SpMV Framework for Graph Analytics. DAC 2021: 949-954 - [c161]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE 2021: 790-795 - [c160]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST 2021: 248-258 - [c159]Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Computationally-efficient voice activity detection based on deep neural networks. SiPS 2021: 64-69 - [c158]Xing Chen, Jingtao Li, Chaitali Chakrabarti:
Communication and Computation Reduction for Split Learning using Asynchronous Training. SiPS 2021: 76-81 - [c157]Sung Kim, Morteza Fayazi, Alhad Daftardar, Kuan-Yu Chen, Jielun Tan, Subhankar Pal, Tutu Ajayi, Yan Xiong, Trevor N. Mudge, Chaitali Chakrabarti, David T. Blaauw, Ronald G. Dreslinski, Hun-Seok Kim:
Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm. VLSI Circuits 2021: 1-2 - [i14]Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb:
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements. CoRR abs/2101.06886 (2021) - [i13]Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR abs/2101.08254 (2021) - [i12]Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan:
RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR abs/2103.13813 (2021) - [i11]Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
Impact of On-Chip Interconnect on In-Memory Acceleration of Deep Neural Networks. CoRR abs/2107.02358 (2021) - [i10]Xing Chen, Jingtao Li, Chaitali Chakrabarti:
Communication and Computation Reduction for Split Learning using Asynchronous Training. CoRR abs/2107.09786 (2021) - [i9]Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti:
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR abs/2107.09789 (2021) - [i8]Gokul Krishnan, Sumit K. Mandal, Manvitha Pannala, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
SIAM: Chiplet-based Scalable In-Memory Acceleration with Mesh for Deep Neural Networks. CoRR abs/2108.08903 (2021) - [i7]Sung Kim, Morteza Fayazi, Alhad Daftardar, Kuan-Yu Chen, Jielun Tan, Subhankar Pal, Tutu Ajayi, Yan Xiong, Trevor N. Mudge, Chaitali Chakrabarti, David T. Blaauw, Ronald G. Dreslinski, Hun-Seok Kim:
Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm. CoRR abs/2109.03024 (2021) - [i6]Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb:
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. CoRR abs/2111.08242 (2021) - [i5]Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb:
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. CoRR abs/2111.09581 (2021) - 2020
- [j85]Gokul Krishnan, Sumit K. Mandal, Chaitali Chakrabarti, Jae-sun Seo, Ümit Y. Ogras, Yu Cao:
Interconnect-Aware Area and Energy Optimization for In-Memory Acceleration of DNNs. IEEE Des. Test 37(6): 79-87 (2020) - [j84]Sumit K. Mandal, Gokul Krishnan, Chaitali Chakrabarti, Jae-Sun Seo, Yu Cao, Ümit Y. Ogras:
A Latency-Optimized Reconfigurable NoC for In-Memory Acceleration of DNNs. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 362-375 (2020) - [j83]Dong-Hyeon Park, Subhankar Pal, Siying Feng, Paul Gao, Jielun Tan, Austin Rovinski, Shaolin Xie, Chun Zhao, Aporva Amarnath, Timothy Wesley, Jonathan Beaumont, Kuan-Yu Chen, Chaitali Chakrabarti, Michael Bedford Taylor, Trevor N. Mudge, David T. Blaauw, Hun-Seok Kim, Ronald G. Dreslinski:
A 7.3 M Output Non-Zeros/J, 11.7 M Output Non-Zeros/GB Reconfigurable Sparse Matrix-Matrix Multiplication Accelerator. IEEE J. Solid State Circuits 55(4): 933-944 (2020) - [j82]Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo:
An 8.93 TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity for On-Device Speech Recognition. IEEE J. Solid State Circuits 55(7): 1877-1887 (2020) - [j81]Brendan L. West, Jian Zhou, Ronald G. Dreslinski, Oliver D. Kripfgans, J. Brian Fowlkes, Chaitali Chakrabarti, Thomas F. Wenisch:
Tetris: Using Software/Hardware Co-Design to Enable Handheld, Physics-Limited 3D Plane-Wave Ultrasound Imaging. IEEE Trans. Computers 69(8): 1209-1220 (2020) - [j80]Jian Zhou, Antonia Papandreou-Suppappola, Chaitali Chakrabarti:
Parallel Gibbs Sampler for Wavelet-Based Bayesian Compressive Sensing with High Reconstruction Accuracy. J. Signal Process. Syst. 92(10): 1101-1114 (2020) - [c156]Subhankar Pal, Siying Feng, Dong-Hyeon Park, Sung Kim, Aporva Amarnath, Chi-Sheng Yang, Xin He, Jonathan Beaumont, Kyle May, Yan Xiong, Kuba Kaszyk, John Magnus Morton, Jiawen Sun, Michael F. P. O'Boyle, Murray Cole, Chaitali Chakrabarti, David T. Blaauw, Hun-Seok Kim, Trevor N. Mudge, Ronald G. Dreslinski:
Transmuter: Bridging the Efficiency Gap using Memory and Dataflow Reconfiguration. PACT 2020: 175-190 - [c155]Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan:
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR 2020: 14083-14091 - [c154]Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti:
Defending Bit-Flip Attack through DNN Weight Reconstruction. DAC 2020: 1-6 - [c153]A. Soorishetty, Jian Zhou, Subhankar Pal, David T. Blaauw, H. Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Accelerating Linear Algebra Kernels on a Massively Parallel Reconfigurable Architecture. ICASSP 2020: 1558-1562 - [c152]Deepak Kadetotad, Jian Meng, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo:
Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity. INTERSPEECH 2020: 21-25 - [c151]Yan Xiong, Jian Zhou, Subhankar Pal, David T. Blaauw, H. S. Kim, Trevor N. Mudge, Ronald G. Dreslinski, Chaitali Chakrabarti:
Accelerating Deep Neural Network Computation on a Low Power Reconfigurable Architecture. ISCAS 2020: 1-5 - [i4]Richard Uhrie, Chaitali Chakrabarti, John Brunhaver:
Automated Parallel Kernel Extraction from Dynamic Application Traces. CoRR abs/2001.09995 (2020) - [i3]Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan:
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR abs/2007.12336 (2020)
2010 – 2019
- 2019
- [j79]Ujjwal Gupta, Sumit K. Mandal, Manqing Mao, Chaitali Chakrabarti, Ümit Y. Ogras:
A Deep Q-Learning Approach for Dynamic Management of Heterogeneous Processors. IEEE Comput. Archit. Lett. 18(1): 14-17 (2019) - [j78]Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti, Andreas Spanias:
Articulation constrained learning with application to speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2019: 14 (2019) - [j77]Manqing Mao, Xiaochen Peng, Rui Liu, Jingtao Li, Shimeng Yu, Chaitali Chakrabarti:
MAX2: An ReRAM-Based Neural Network Accelerator That Maximizes Data Reuse and Area Utilization. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 398-410 (2019) - [j76]Hsing Min Chen, Shin-Ying Lee, Trevor N. Mudge, Carole-Jean Wu, Chaitali Chakrabarti:
Configurable-ECC: Architecting a Flexible ECC Scheme to Support Different Sized Accesses in High Bandwidth Memory Systems. IEEE Trans. Computers 68(5): 646-659 (2019) - [j75]Ziyun Li, Jiang Xiang, Luyao Gong, David T. Blaauw, Chaitali Chakrabarti, Hun-Seok Kim:
Low Complexity, Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low-Power Mobile Vision Applications. IEEE Trans. Circuits Syst. Video Technol. 29(7): 2191-2204 (2019) - [c150]Brendan L. West, Jian Zhou, Ronald G. Dreslinski, J. Brian Fowlkes, Oliver Kripfgans, Chaitali Chakrabarti, Thomas F. Wenisch:
Tetris: A Streaming Accelerator for Physics-Limited 3D Plane-Wave Ultrasound Imaging. DAC 2019: 189 - [c149]Deepak Kadetotad, Visar Berisha, Chaitali Chakrabarti, Jae-Sun Seo:
A 8.93-TOPS/W LSTM Recurrent Neural Network Accelerator Featuring Hierarchical Coarse-Grain Sparsity With All Parameters Stored On-Chip. ESSCIRC 2019: 119-122 - [c148]Gaurav Srivastava, Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo:
Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks. ICASSP 2019: 1393-1397 - [c147]Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Residual + Capsule Networks (ResCap) for Simultaneous Single-Channel Overlapped Keyword Recognition. INTERSPEECH 2019: 3337-3341 - [c146]Jingtao Li, Manqing Mao, Chaitali Chakrabarti:
Improving Reliability of ReRAM-Based DNN Implementation through Novel Weight Distribution. SiPS 2019: 189-194 - [c145]Subhankar Pal, Dong-Hyeon Park, Siying Feng, Paul Gao, Jielun Tan, Austin Rovinski, Shaolin Xie, Chun Zhao, Aporva Amarnath, Timothy Wesley, Jonathan Beaumont, Kuan-Yu Chen, Chaitali Chakrabarti, Michael B. Taylor, Trevor N. Mudge, David T. Blaauw, Hun-Seok Kim, Ronald G. Dreslinski:
A 7.3 M Output Non-Zeros/J Sparse Matrix-Matrix Multiplication Accelerator using Memory Reconfiguration in 40 nm. VLSI Circuits 2019: 150- - 2018
- [j74]Manqing Mao, Shimeng Yu, Chaitali Chakrabarti:
Design and Analysis of Energy-Efficient and Reliable 3-D ReRAM Cross-Point Array System. IEEE Trans. Very Large Scale Integr. Syst. 26(7): 1290-1300 (2018) - [j73]Mohit Shah, Sairam Arunachalam, Jingcheng Wang, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim, Jae-sun Seo, Chaitali Chakrabarti:
A Fixed-Point Neural Network Architecture for Speech Applications on Resource Constrained Hardware. J. Signal Process. Syst. 90(5): 727-741 (2018) - [j72]Shunyao Wu, Chaitali Chakrabarti, Hyunseok Lee:
Reducing Energy of Baseband Processor for IoT Terminals with Long Range Wireless Communications. J. Signal Process. Syst. 90(10): 1345-1355 (2018) - [c144]Subhankar Pal, Jonathan Beaumont, Dong-Hyeon Park, Aporva Amarnath, Siying Feng, Chaitali Chakrabarti, Hun-Seok Kim, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski:
OuterSPACE: An Outer Product Based Sparse Matrix Multiplication Accelerator. HPCA 2018: 724-736 - [c143]Shihui Yin, Xiaoyu Sun, Shimeng Yu, Jae-sun Seo, Chaitali Chakrabarti:
A Parallel RRAM Synaptic Array Architecture for Energy-Efficient Recurrent Neural Networks. SiPS 2018: 13-18 - [c142]Jian Zhou, Chaitali Chakrabarti:
Parallel Wavelet-based Bayesian Compressive Sensing based on Gibbs Sampling. SiPS 2018: 140-145 - [c141]Manqing Mao, Xiaoyu Sun, Xiaochen Peng, Shimeng Yu, Chaitali Chakrabarti:
A Versatile ReRAM-based Accelerator for Convolutional Neural Networks. SiPS 2018: 211-216 - [i2]Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, Jae-sun Seo:
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression. CoRR abs/1804.07370 (2018) - 2017
- [j71]Chengen Yang, Manqing Mao, Yu Cao, Chaitali Chakrabarti:
Cost-Effective Design Solutions for Enhancing PRAM Reliability and Performance. IEEE Trans. Multi Scale Comput. Syst. 3(1): 1-11 (2017) - [j70]Manqing Mao, Pai-Yu Chen, Shimeng Yu, Chaitali Chakrabarti:
A Multilayer Approach to Designing Energy-Efficient and Reliable ReRAM Cross-Point Array System. IEEE Trans. Very Large Scale Integr. Syst. 25(5): 1611-1621 (2017) - [c140]Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, Jae-sun Seo:
Minimizing area and energy of deep learning hardware design using collective low precision and structured compression. ACSSC 2017: 1907-1911 - [c139]Shunti Yin, Deepak Kadetotad, Bonan Yan, Chang Song, Yiran Chen, Chaitali Chakrabarti, Jae-sun Seo:
Low-power neuromorphic speech recognition engine with coarse-grain sparsity. ASP-DAC 2017: 111-114 - [c138]Shihui Yin, Shreyas K. Venkataramanaiah, Gregory K. Chen, Ram Krishnamurthy, Yu Cao, Chaitali Chakrabarti, Jae-sun Seo:
Algorithm and hardware design of discrete-time spiking neural networks based on back propagation with binary activations. BioCAS 2017: 1-5 - [c137]Ganapati Bhat, Sharanya Srinivas, Vamsi Chagari, Jaehyun Park, Thomas McGiffen, Hyunseok Lee, Daniel W. Bliss, Chaitali Chakrabarti, Ümit Y. Ogras:
Fluid wireless protocols: energy-efficient design and implementation. ESTIMedia 2017: 22-31 - [i1]Shihui Yin, Shreyas K. Venkataramanaiah, Gregory K. Chen, Ram Krishnamurthy, Yu Cao, Chaitali Chakrabarti, Jae-sun Seo:
Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations. CoRR abs/1709.06206 (2017) - 2016
- [j69]Manqing Mao, Yu Cao, Shimeng Yu, Chaitali Chakrabarti:
Optimizing Latency, Energy, and Reliability of 1T1R ReRAM Through Cross-Layer Techniques. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(3): 352-363 (2016) - [j68]Hsing Min Chen, Carole-Jean Wu, Trevor N. Mudge, Chaitali Chakrabarti:
RATT-ECC: Rate Adaptive Two-Tiered Error Correction Codes for Reliable 3D Die-Stacked Memory. ACM Trans. Archit. Code Optim. 13(3): 24:1-24:24 (2016) - [j67]Hsing Min Chen, Supreet Jeloka, Akhil Arunkumar, David T. Blaauw, Carole-Jean Wu, Trevor N. Mudge, Chaitali Chakrabarti:
Using Low Cost Erasure and Error Correction Schemes to Improve Reliability of Commodity DRAM Systems. IEEE Trans. Computers 65(12): 3766-3779 (2016) - [c136]Shunyao Wu, Sungmoon Kang, Chaitali Chakrabarti, Hyunseok Lee:
Low power baseband processor for IoT terminals with long range wireless communications. GlobalSIP 2016: 728-732 - [c135]Deepak Kadetotad, Sairam Arunachalam, Chaitali Chakrabarti, Jae-sun Seo:
Efficient memory compression in deep neural networks using coarse-grain sparsification for speech applications. ICCAD 2016: 78 - [c134]Jiang Xiang, Ziyun Li, David T. Blaauw, Hun-Seok Kim, Chaitali Chakrabarti:
Low complexity optical flow using neighbor-guided semi-global matching. ICIP 2016: 4483-4487 - [c133]Ayush Shrivastava, Pai-Yu Chen, Yu Cao, Shimeng Yu, Chaitali Chakrabarti:
Design of a reliable RRAM-based PUF for compact hardware security primitives. ISCAS 2016: 2326-2329 - [c132]Nilmini Abeyratne, Hsing Min Chen, Byoungchan Oh, Ronald G. Dreslinski, Chaitali Chakrabarti, Trevor N. Mudge:
Checkpointing Exascale Memory Systems with Existing Memory Technologies. MEMSYS 2016: 18-29 - [c131]Jiang Xiang, Ziyun Li, Hun-Seok Kim, Chaitali Chakrabarti:
Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low Power Vision Applications. SiPS 2016: 1-6 - [c130]Jian Zhou, Siyuan Wei, Richard Sampson, Ming Yang, Rungroj Jintamethasawat, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti:
Low Complexity 3D Ultrasound Imaging Using Synthetic Aperture Sequential Beamforming. SiPS 2016: 33-38 - 2015
- [j66]Mahesh K. Banavar, Jun Jason Zhang, Bhavana Chakraborty, Homin Kwon, Ying Li, Huaiguang Jiang, Andreas Spanias, Cihan Tepedelenlioglu, Chaitali Chakrabarti, Antonia Papandreou-Suppappola:
An overview of recent advances on distributed and agile sensing algorithms and implementation. Digit. Signal Process. 39: 1-14 (2015) - [j65]Mohit Shah, Chaitali Chakrabarti, Andreas Spanias:
Within and cross-corpus speech emotion recognition using latent topic model-based features. EURASIP J. Audio Speech Music. Process. 2015: 4 (2015) - [j64]Ming Yang, Richard Sampson, Siyuan Wei, Thomas F. Wenisch, Chaitali Chakrabarti:
Separable Beamforming For 3-D Medical Ultrasound Imaging. IEEE Trans. Signal Process. 63(2): 279-290 (2015) - [j63]Qi Zheng, Yajing Chen, Hyunseok Lee, Ronald G. Dreslinski, Chaitali Chakrabarti, Achilleas Anastasopoulos, Scott A. Mahlke, Trevor N. Mudge:
Using Graphics Processing Units in an LTE Base Station. J. Signal Process. Syst. 78(1): 35-47 (2015) - [j62]Ming Yang, Richard Sampson, Siyuan Wei, Thomas F. Wenisch, Chaitali Chakrabarti:
High Frame Rate 3-D Ultrasound Imaging Using Separable Beamforming. J. Signal Process. Syst. 78(1): 73-84 (2015) - [c129]Pai-Yu Chen, Runchen Fang, Rui Liu, Chaitali Chakrabarti, Yu Cao, Shimeng Yu:
Exploiting resistive cross-point array for compact design of physical unclonable function. HOST 2015: 26-31 - [c128]Manqing Mao, Yu Cao, Shimeng Yu, Chaitali Chakrabarti:
Optimizing latency, energy, and reliability of 1T1R ReRAM through appropriate voltage settings. ICCD 2015: 359-366 - [c127]Hsing Min Chen, Akhil Arunkumar, Carole-Jean Wu, Trevor N. Mudge, Chaitali Chakrabarti:
E-ECC: Low Power Erasure and Error Correction Schemes for Increasing Reliability of Commodity DRAM Systems. MEMSYS 2015: 60-70 - [c126]Manqing Mao, Yu Cao, Shimeng Yu, Chaitali Chakrabarti:
Programming strategies to improve energy efficiency and reliability of ReRAM memory systems. SiPS 2015: 1-6 - [c125]Mohit Shah, Jingcheng Wang, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim, Chaitali Chakrabarti:
A fixed-point neural network for keyword detection on resource constrained hardware. SiPS 2015: 1-6 - [c124]Siyuan Wei, Ming Yang, Richard Sampson, Oliver D. Kripfgans, J. Brian Fowlkes, Thomas F. Wenisch, Chaitali Chakrabarti:
Low cost clutter filter for 3D ultrasonic flow estimation. SiPS 2015: 1-6 - 2014
- [j61]Richard Sampson, Ming Yang, Siyuan Wei, Chaitali Chakrabarti, Thomas F. Wenisch:
Sonic Millip3De: An Architecture for Handheld 3D Ultrasound. IEEE Micro 34(3): 100-108 (2014) - [j60]Qian Xu, Srenivas Varadarajan, Chaitali Chakrabarti, Lina J. Karam:
A Distributed Canny Edge Detector: Algorithm and FPGA Implementation. IEEE Trans. Image Process. 23(7): 2944-2960 (2014) - [j59]Chengen Yang, Yunus Emre, Zihan Xu, Hsing Min Chen, Yu Cao, Chaitali Chakrabarti:
A Low Cost Multi-Tiered Approach to Improving the Reliability of Multi-Level Cell Pram. J. Signal Process. Syst. 76(2): 133-147 (2014) - [j58]Chengen Yang, Hsing Min Chen, Trevor N. Mudge, Chaitali Chakrabarti:
Improving the Reliability of MLC NAND Flash Memories Through Adaptive Data Refresh and Error Control Coding. J. Signal Process. Syst. 76(3): 225-234 (2014) - [c123]Johann Hauswald, Thomas Manville, Q. Zheng, Ronald G. Dreslinski, Chaitali Chakrabarti, Trevor N. Mudge:
A hybrid approach to offloading mobile image classification. ICASSP 2014: 8375-8379 - [c122]