Susmita Dey Manasi

19 papers A* 1A 1B 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators.
ACM Trans. Design Autom. Electr. Syst.
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang
2024 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
ACM Trans. Design Autom. Electr. Syst.
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
2023 J jnl
A Unified Engine for Accelerating GNN Weighting/Aggregation Operations, With Efficient Load Balancing and Graph-Specific Caching.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Ramprasath S, Ziqing Zeng, Sachin S. Sapatnekar
2023 J jnl
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.
CoRR
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
2023 J jnl
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations.
CoRR
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang
2023 — conf
Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators.
ASP-DAC
Susmita Dey Manasi, Suvadeep Banerjee, Abhijit Davare, Anton A. Sorokin, Steven M. Burns, Desmond A. Kirkpatrick, Sachin S. Sapatnekar
2022 A* conf
GNNIE: GNN inference engine with load-balancing and graph-specific caching.
DAC
Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Ramprasath S, Sachin S. Sapatnekar
2022 — conf
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.
MLCAD
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
2021 — conf
DeepOpt: Optimized Scheduling of CNN Workloads for ASIC-based Systolic Deep Learning Accelerators.
ASP-DAC
Susmita Dey Manasi, Sachin S. Sapatnekar
2021 — conf
Fast and Efficient Constraint Evaluation of Analog Layout Using Machine Learning Models.
ASP-DAC
Tonmoy Dhar, Jitesh Poojary, Yaguang Li, Kishor Kunal, Meghna Madhusudan, Arvind K. Sharma, Susmita Dey Manasi, Jiang Hu, Ramesh Harjani, Sachin S. Sapatnekar
2021 J jnl
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching.
CoRR
Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal, Sachin S. Sapatnekar
2021 J jnl
SeFAct2: Selective Feature Activation for Energy-Efficient CNNs Using Optimized Thresholds.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Farhana Sharmin Snigdha, Susmita Dey Manasi, Jiang Hu, Sachin S. Sapatnekar
2021 A conf
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.
ICCAD
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
2020 J jnl
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients.
IEEE Trans. Very Large Scale Integr. Syst.
Susmita Dey Manasi, Farhana Sharmin Snigdha, Sachin S. Sapatnekar
2019 J jnl
NeuPart: Using Analytical Models to Drive Energy-Efficient Partitioning of CNN Computations on Cloud-Connected Mobile Clients.
CoRR
Susmita Dey Manasi, Farhana Sharmin Snigdha, Sachin S. Sapatnekar
2019 — conf
SeFAct: selective feature activation and early classification for CNNs.
ASP-DAC
Farhana Sharmin Snigdha, Ibrahim Ahmed, Susmita Dey Manasi, Meghna G. Mankalale, Jiang Hu, Sachin S. Sapatnekar
2016 — conf
A Comparative Study of Si/Ge and GaSb/InAs Tunnel FET-Based Cellular Neural Network.
ISVLSI
Amit Ranjan Trivedi, Susmita Dey Manasi
2016 B conf
Gate/source-overlapped heterojunction Tunnel FET-based LAMSTAR neural network and its Application to EEG Signal Classification.
IJCNN
Susmita Dey Manasi, Amit Ranjan Trivedi
2016 J jnl
Straintronic magneto-tunneling-junction based ternary content addressable memory.
CoRR
Susmita Dey Manasi, Md Mamun Al Rashid, Jayasimha Atulasimha, Supriyo Bandyopadhyay, Amit Ranjan Trivedi