Chaitali Chakrabarti

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 99

Top Venues

CoRR

SiPS

J. Signal Process. Syst.

ISCAS

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Anish Krishnakumar, Hanguang Yu, Tutu Ajayi, A. Alper Goksoy, Vishrut Pandey, Joshua Mack, Md Sahil Hassan, Kuan-Yu Chen, Chaitali Chakrabarti, Daniel W. Bliss, Ali Akoglu, Hun-Seok Kim, Ronald G. Dreslinski, David T. Blaauw, Ümit Y. Ogras
FALCON: An FPGA Emulation Platform for Domain-Specific SoCs (DSSoCs). IEEE Des. Test 41 (1) (2024)
Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, Yu Cao
Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. ASPDAC (2024)
Benjamin R. Willis, Aviral Shrivastava, Joshua Mack, Shail Dave, Chaitali Chakrabarti, John S. Brunhaver
Cyclebite: Extracting Task Graphs From Unstructured Compute-Programs. IEEE Trans. Computers 73 (1) (2024)
Xing Chen, Anish Krishnakumar, Ümit Y. Ogras, Chaitali Chakrabarti
PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs. J. Syst. Archit. 147 (2024)
Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI (2024)
Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger
MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR (2023)
Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Jae-Sun Seo, Chaitali Chakrabarti, Ümit Y. Ogras, Vidya A. Chhabria, Yu Cao
Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling. ASICON (2023)
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 (2023)
Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
Model Extraction Attacks on Split Federated Learning. CoRR (2023)
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) (2023)
Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures. IEEE Open J. Commun. Soc. 4 (2023)
Yan Xiong, Visar Berisha, Chaitali Chakrabarti
Aligning Speech Enhancement for Improving Downstream Classification Performance. INTERSPEECH (2023)
Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. SiPS (2022)
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) (2022)
Xing Chen, Ümit Y. Ogras, Chaitali Chakrabarti
Probabilistic Risk-Aware Scheduling with Deadline Constraint for Heterogeneous SoCs. ACM Trans. Embed. Comput. Syst. 21 (2) (2022)
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 (2022)
Yan Xiong, J. 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)
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)
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)
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 (2022)
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)
Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. CoRR (2022)
Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures. CoRR (2022)
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) (2022)
Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, I. Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John Brunhaver, Chaitali Chakrabarti, L. 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. S. 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)
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 (2022)
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) (2022)
Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. WCNC (2022)
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) (2022)
Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb
Deep Learning for Moving Blockage Prediction using Real mmWave Measurements. ICC (2022)
Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. CoRR (2021)
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 (2021)
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 (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. CoRR (2021)
Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. DATE (2021)
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)
Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. CoRR (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. CoRR (2021)
Xing Chen, Jingtao Li, Chaitali Chakrabarti
Communication and Computation Reduction for Split Learning using Asynchronous Training. CoRR (2021)
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)
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)
Yan Xiong, Visar Berisha, Chaitali Chakrabarti
Computationally-efficient voice activity detection based on deep neural networks. SiPS (2021)
Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements. CoRR (2021)
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) (2021)
Jingtao Li, Zhezhi He, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing. HOST (2021)
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 (2021)
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) (2021)
Xing Chen, Jingtao Li, Chaitali Chakrabarti
Communication and Computation Reduction for Split Learning using Asynchronous Training. SiPS (2021)
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 (2021)
Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. CVPR (2020)
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)
Deepak Kadetotad, Jian Meng, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo
Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity. INTERSPEECH (2020)
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)
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)
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) (2020)
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) (2020)
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) (2020)
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) (2020)
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) (2020)
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)
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) (2020)
Adnan Siraj Rakin, Zhezhi He, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Deliang Fan
T-BFA: Targeted Bit-Flip Adversarial Weight Attack. CoRR (2020)
Richard Uhrie, Chaitali Chakrabarti, John Brunhaver
Automated Parallel Kernel Extraction from Dynamic Application Traces. CoRR (2020)
Manqing Mao, Xiaochen Peng, Rui Liu, Jingtao Li, Shimeng Yu, Chaitali Chakrabarti
: An ReRAM-Based Neural Network Accelerator That Maximizes Data Reuse and Area Utilization. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
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) (2019)
Jingtao Li, Manqing Mao, Chaitali Chakrabarti
Improving Reliability of ReRAM-Based DNN Implementation through Novel Weight Distribution. SiPS (2019)
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)
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)
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) (2019)
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)
Yan Xiong, Visar Berisha, Chaitali Chakrabarti
Residual + Capsule Networks (ResCap) for Simultaneous Single-Channel Overlapped Keyword Recognition. INTERSPEECH (2019)
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) (2019)
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 (2019)
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)
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)
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) (2018)
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) (2018)
Manqing Mao, Xiaoyu Sun, Xiaochen Peng, Shimeng Yu, Chaitali Chakrabarti
A Versatile ReRAM-based Accelerator for Convolutional Neural Networks. SiPS (2018)
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 (2018)
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) (2018)
Jian Zhou, Chaitali Chakrabarti
Parallel Wavelet-based Bayesian Compressive Sensing based on Gibbs Sampling. SiPS (2018)
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)
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)
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) (2017)
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) (2017)
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)
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)
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 (2017)
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)
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) (2016)
Shunyao Wu, Sungmoon Kang, Chaitali Chakrabarti, Hyunseok Lee
Low power baseband processor for IoT terminals with long range wireless communications. GlobalSIP (2016)
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) (2016)
Jiang Xiang, Ziyun Li, David T. Blaauw, Hun-Seok Kim, Chaitali Chakrabarti
Low complexity optical flow using neighbor-guided semi-global matching. ICIP (2016)
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)
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)
Jiang Xiang, Ziyun Li, Hun-Seok Kim, Chaitali Chakrabarti
Hardware-Efficient Neighbor-Guided SGM Optical Flow for Low Power Vision Applications. SiPS (2016)
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)
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)
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) (2016)
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)

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Publication Activity (10 Years)

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Chaitali Chakrabarti