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Chaitali Chakrabarti
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2020 – today
- 2024
- [j98]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): 70-80 (2024) - [j97]Xing Chen, Anish Krishnakumar, Ümit Y. Ogras, Chaitali Chakrabarti:
PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs. J. Syst. Archit. 147: 103051 (2024) - [j96]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): 221-234 (2024) - [c176]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: 13545-13553 - [c175]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: 758-764 - 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) - [c174]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: 1-4 - [c173]Jingtao Li, Lingjuan Lyu, Daisuke Iso, Chaitali Chakrabarti, Michael Spranger:
MocoSFL: enabling cross-client collaborative self-supervised learning. ICLR 2023 - [c172]Yan Xiong, Visar Berisha, Chaitali Chakrabarti:
Aligning Speech Enhancement for Improving Downstream Classification Performance. INTERSPEECH 2023: 3874-3878 - [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, Hun-Seok 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, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung 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, Hun-Seok Kim, A. N. Krishnakumar, Y. Li, Owen Ma, Joshua Mack, Saurav Mallik, Sumit K. Mandal, Radu Marculescu, Brittany M. McCall, Trevor N. Mudge, Ümit Y. Ogras, Vishrut Pandey, Saquib Ahmad Siddiqui, Yu-Hsiu Sun, Adarsh A. Venkataramani, Xiangdong 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 R. Willis, Xing Chen, John S. 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 R. Willis, Xing Chen, John S. 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, Hun-Seok 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 S. 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]