Susmita Dey Manasi

According to our database, Susmita Dey Manasi authored at least 16 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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, Ziqing Zeng, Sachin S. Sapatnekar

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 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

CoRR, 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

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

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

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

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

GNNIE: GNN inference engine with load-balancing and graph-specific caching.

Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Ramprasath S, Sachin S. Sapatnekar

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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, Sachin S. Sapatnekar

CoRR, 2021

VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.

Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

DeepOpt: Optimized Scheduling of CNN Workloads for ASIC-based Systolic Deep Learning Accelerators.

Susmita Dey Manasi, Sachin S. Sapatnekar

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

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

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

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

2019

SeFAct: selective feature activation and early classification for CNNs.

Farhana Sharmin Snigdha, Ibrahim Ahmed, Susmita Dey Manasi, Meghna G. Mankalale, Jiang Hu, Sachin S. Sapatnekar

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

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

A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network.

Amit Ranjan Trivedi, Susmita Dey Manasi

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification.

Susmita Dey Manasi, Amit Ranjan Trivedi

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016