Sathwika Bavikadi

According to our database, Sathwika Bavikadi authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator.

Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., August, 2024

3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications.

Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly

IEEE Trans. Emerg. Top. Comput., 2024

Empowering Malware Detection Efficiency within Processing-in-Memory Architecture.

Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao

CoRR, 2024

Processing-in-Memory Architecture with Precision-Scaling for Malware Detection.

Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao

Proceedings of the 37th International Conference on VLSI Design and 23rd International Conference on Embedded Systems, 2024

Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications.

Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao

Proceedings of the 37th International Conference on VLSI Design and 23rd International Conference on Embedded Systems, 2024

Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications.

Sanket Shukla, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

2023

Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration.

Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications.

Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications.

Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications.

Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D.

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications.

Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Connolly, Savankumar Prajapati, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly

IEEE Trans. Parallel Distributed Syst., 2022

A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms.

Sathwika Bavikadi, Abhijitt Dhavlle, Amlan Ganguly, Anand Haridass, Hagar Hendy, Cory E. Merkel, Vijay Janapa Reddi, Purab Ranjan Sutradhar, Arun Joseph, Sai Manoj Pudukotai Dinakarrao

IEEE Des. Test, 2022

Accelerating Adversarial Attack using Process-in-Memory Architecture.

Shiyi Liu, Sathwika Bavikadi, Tanmoy Sen, Haiying Shen, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao, Brian L. Smith

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications.

Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao

Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021

uPIM: Performance-aware Online Learning Capable Processing-in-Memory.

Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning.

Purab Ranjan Sutradhar, Mark Connolly, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly

IEEE Comput. Archit. Lett., 2020

A Review of In-Memory Computing Architectures for Machine Learning Applications.

Sathwika Bavikadi, Purab Ranjan Sutradhar, Khaled N. Khasawneh, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020