Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification. - Susmita Dey Manasi; Amit Ranjan Trivedi (IJCNN, 2016)

A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network. - Amit Ranjan Trivedi; Susmita Dey Manasi (ISVLSI, 2016)

Straintronic magneto-tunneling-junction based ternary content addressable memory. - Susmita Dey Manasi; Md Mamun Al Rashid; Jayasimha Atulasimha; Supriyo Bandyopadhyay; Amit Ranjan Trivedi (CoRR, 2016)

SeFAct: selective feature activation and early classification for CNNs. - Farhana Sharmin Snigdha; Ibrahim Ahmed 002; Susmita Dey Manasi; Meghna G. Mankalale; Jiang Hu; Sachin S. Sapatnekar (ASP-DAC, 2019)

NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients. - Susmita Dey Manasi; Farhana Sharmin Snigdha; Sachin S. Sapatnekar (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Fast and Efficient Constraint Evaluation of Analog Layout Using Machine Learning Models. - Tonmoy Dhar; Jitesh Poojary; Yaguang Li; Kishor Kunal; Meghna Madhusudan; Arvind K. Sharma; Susmita Dey Manasi; Jiang Hu; Ramesh Harjani; Sachin S. Sapatnekar (ASP-DAC, 2021)

DeepOpt: Optimized Scheduling of CNN Workloads for ASIC-based Systolic Deep Learning Accelerators. - Susmita Dey Manasi; Sachin S. Sapatnekar (ASP-DAC, 2021)

VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis. - Hadi Esmaeilzadeh; Soroush Ghodrati; Jie Gu 003; Shiyu Guo; Andrew B. Kahng; Joon Kyung Kim; Sean Kinzer; Rohan Mahapatra; Susmita Dey Manasi; Edwin Mascarenhas; Sachin S. Sapatnekar; Ravi Varadarajan; et al. (ICCAD, 2021)

GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching. - Sudipta Mondal; Susmita Dey Manasi; Kishor Kunal; Sachin S. Sapatnekar (CoRR, 2021)

SeFAct2: Selective Feature Activation for Energy-Efficient CNNs Using Optimized Thresholds. - Farhana Sharmin Snigdha; Susmita Dey Manasi; Jiang Hu; Sachin S. Sapatnekar (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

GNNIE: GNN inference engine with load-balancing and graph-specific caching. - Sudipta Mondal; Susmita Dey Manasi; Kishor Kunal; Ramprasath S 001; Sachin S. Sapatnekar (DAC, 2022)

Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. - Hadi Esmaeilzadeh; Soroush Ghodrati; Andrew B. Kahng; Joon Kyung Kim; Sean Kinzer; Sayak Kundu; Rohan Mahapatra; Susmita Dey Manasi; Sachin S. Sapatnekar; Zhiang Wang; Ziqing Zeng (MLCAD, 2022)

Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators. - Susmita Dey Manasi; Suvadeep Banerjee; Abhijit Davare; Anton A. Sorokin; Steven M. Burns; Desmond A. Kirkpatrick; Sachin S. Sapatnekar (ASP-DAC, 2023)

Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations. - Hadi Esmaeilzadeh; Soroush Ghodrati; Andrew B. Kahng; Sean Kinzer; Susmita Dey Manasi; Sachin S. Sapatnekar; Zhiang Wang (CoRR, 2023)

A Unified Engine for Accelerating GNN Weighting/Aggregation Operations, With Efficient Load Balancing and Graph-Specific Caching. - Sudipta Mondal; Susmita Dey Manasi; Kishor Kunal; Ramprasath S 001; Ziqing Zeng; Sachin S. Sapatnekar (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. - Hadi Esmaeilzadeh; Soroush Ghodrati; Andrew B. Kahng; Joon Kyung Kim; Sean Kinzer; Sayak Kundu; Rohan Mahapatra; Susmita Dey Manasi; Sachin S. Sapatnekar; Zhiang Wang; Ziqing Zeng (ACM Trans. Design Autom. Electr. Syst., 2024)

Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators. - Hadi Esmaeilzadeh; Soroush Ghodrati; Andrew B. Kahng; Sean Kinzer; Susmita Dey Manasi; Sachin S. Sapatnekar; Zhiang Wang (ACM Trans. Design Autom. Electr. Syst., 2025)