Sathwika Bavikadi

19 papers C 2Misc 3Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
3D-PLANE: A 3D-stacked DRAM-based Programmable SLM Accelerator Capable of Near-Memory and Energy-Efficient Parallel Processing.
ACM Great Lakes Symposium on VLSI
Sathwika Bavikadi, Purab Ranjan Sutradhar, Jayanth Thangellamudi, Sai Manoj Pudukotai Dinakarrao
2025 — conf
BrIM: A Branching In-Memory Accelerator.
ACM Great Lakes Symposium on VLSI
Stefan Maczynski, Amlan Ganguly, Mark A. Indovina, Purab Ranjan Sutradhar, Sai Manoj Pudukotai Dinakarrao, Sathwika Bavikadi
2024 J jnl
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.
Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly
2024 J jnl
Empowering Malware Detection Efficiency within Processing-in-Memory Architecture.
CoRR
Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
2024 — conf
Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications.
ACM Great Lakes Symposium on VLSI
Sanket Shukla, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
2024 Misc conf
Processing-in-Memory Architecture with Precision-Scaling for Malware Detection.
VLSID
Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
2024 J jnl
ReApprox-PIM: Reconfigurable Approximate Lookup-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
2024 Misc conf
Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications.
VLSID
Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
2023 Misc conf
Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications.
CISS
Katherine Mercado, Sathwika Bavikadi, Sai Manoj P. D.
2023 — conf
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
Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
2023 — conf
Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration.
ISQED
Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
2023 C conf
Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications.
ISCAS
Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao
2022 J jnl
A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms.
IEEE Des. Test
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
2022 — conf
Accelerating Adversarial Attack using Process-in-Memory Architecture.
MSN
Shiyi Liu, Sathwika Bavikadi, Tanmoy Sen, Haiying Shen, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao, Brian L. Smith
2022 J jnl
Look-up-Table Based Processing-in-Memory Architecture With Programmable Precision-Scaling for Deep Learning Applications.
IEEE Trans. Parallel Distributed Syst.
Purab Ranjan Sutradhar, Sathwika Bavikadi, Mark Connolly, Savankumar Prajapati, Mark A. Indovina, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
2022 C conf
POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications.
DSD
Sathwika Bavikadi, Purab Ranjan Sutradhar, Mark A. Indovina, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
2021 — conf
uPIM: Performance-aware Online Learning Capable Processing-in-Memory.
AICAS
Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
2020 — conf
A Review of In-Memory Computing Architectures for Machine Learning Applications.
ACM Great Lakes Symposium on VLSI
Sathwika Bavikadi, Purab Ranjan Sutradhar, Khaled N. Khasawneh, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao
2020 J jnl
pPIM: A Programmable Processor-in-Memory Architecture With Precision-Scaling for Deep Learning.
IEEE Comput. Archit. Lett.
Purab Ranjan Sutradhar, Mark Connolly, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly