Sathwika Bavikadi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Malware Detection

Malicious Executables

Memory Management

Hardware Platforms

Top Venues

ACM Great Lakes Symposium on VLSI

Publications

Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
Processing-in-Memory Architecture with Precision-Scaling for Malware Detection. VLSID (2024)
Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
Empowering Malware Detection Efficiency within Processing-in-Memory Architecture. CoRR (2024)
Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (8) (2024)
Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications. VLSID (2024)
Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Sanket Shukla, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications. ACM Great Lakes Symposium on VLSI (2024)
Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration. ISQED (2023)
Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao
Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications. ISCAS (2023)
Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
FlutPIM: : A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications. ACM Great Lakes Symposium on VLSI (2023)
Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D.
Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications. CISS (2023)
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
A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms. IEEE Des. Test 39 (3) (2022)
Shiyi Liu, Sathwika Bavikadi, Tanmoy Sen, Haiying Shen, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao, Brian L. Smith
Accelerating Adversarial Attack using Process-in-Memory Architecture. MSN (2022)
Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications. DSD (2022)
Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Connolly, Savankumar Prajapati, Mark Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications. IEEE Trans. Parallel Distributed Syst. 33 (2) (2022)
Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
uPIM: Performance-aware Online Learning Capable Processing-in-Memory. AICAS (2021)
Purab Ranjan Sutradhar, Mark Connolly, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark Indovina, Amlan Ganguly
pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning. IEEE Comput. Archit. Lett. 19 (2) (2020)
Sathwika Bavikadi, Purab Ranjan Sutradhar, Khaled N. Khasawneh, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
A Review of In-Memory Computing Architectures for Machine Learning Applications. ACM Great Lakes Symposium on VLSI (2020)