| A Review of In-Memory Computing Architectures for Machine Learning Applications S Bavikadi, PR Sutradhar, KN Khasawneh, A Ganguly, ... Proceedings of the 2020 on Great Lakes Symposium on VLSI, 89-94, 2020 | 60 | 2020 |
| A Survey on Machine Learning Accelerators and Evolutionary Hardware Platforms S Bavikadi, A Dhavlle, A Ganguly, A Haridass, H Hendy, C Merkel, ... IEEE Design & Test 39 (3), 91-116, 2022 | 36 | 2022 |
| pPIM: A Programmable Processor-in-Memory Architecture with Precision-Scaling for Deep Learning PR Sutradhar, M Connolly, S Bavikadi, SMP Dinakarrao, M Indovina, ... IEEE Computer Architecture Letters, 2020 | 35 | 2020 |
| Look-up-Table based Processing-in-MemoryArchitecture with Programmable Precision-Scalingfor Deep Learning Applications PR Sutradhar, S Bavikadi, M Connolly, SK Prajapati, MA Indovina, ... IEEE Transactions on Parallel and Distributed Systems, 2021 | 28 | 2021 |
| uPIM: Performance-aware Online Learning Capable Processing-in-Memory S Bavikadi, PR Sutradhar, A Ganguly, SMP Dinakarrao 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 9 | 2021 |
| Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications R Saravanan, S Bavikadi, S Rai, A Kumar, SMP Dinakarrao 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 7 | 2023 |
| Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective S Rafatirad, H Homayoun, Z Chen, SMP Dinakarrao Springer, 2022 | 7 | 2022 |
| Heterogeneous Multi-Functional Look-Up-Table-based Processing-in-Memory Architecture for Deep Learning Acceleration S Bavikadi, PR Sutradhar, A Ganguly, SMP Dinakarrao 2023 24th International Symposium on Quality Electronic Design (ISQED), 1-8, 2023 | 5 | 2023 |
| POLAR: Performance-aware On-device Learning Capable Programmable Processing-in-Memory Architecture for Low-Power ML Applications S Bavikadi, PR Sutradhar, MA Indovina, A Ganguly, SMP Dinakarrao 2022 25th Euromicro Conference on Digital System Design (DSD), 889-898, 2022 | 5 | 2022 |
| Processing-in-Memory Architecture with Precision-Scaling for Malware Detection S Kasarapu, S Bavikadi, SMP Dinakarrao 2024 37th International Conference on VLSI Design and 2024 23rd …, 2024 | 3 | 2024 |
| Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications S Bavikadi, PR Sutradhar, A Ganguly, SMP Dinakarrao 2024 37th International Conference on VLSI Design and 2024 23rd …, 2024 | 3 | 2024 |
| 3DL-PIM: A Look-up Table oriented Programmable Processing in Memory Architecture based on the 3-D Stacked Memory for Data-Intensive Applications PR Sutradhar, S Bavikadi, SMP Dinakarrao, MA Indovina, A Ganguly IEEE Transactions on Emerging Topics in Computing, 2023 | 3 | 2023 |
| FlutPIM: A Look-up Table-based Processing in Memory Architecture with Floating-point Computation Support for Deep Learning Applications PR Sutradhar, S Bavikadi, M Indovina, SM Pudukotai Dinakarrao, ... Proceedings of the Great Lakes Symposium on VLSI 2023, 207-211, 2023 | 2 | 2023 |
| Machine learning for computer scientists and data analysts S Rafatirad, H Homayoun, Z Chen, SM Pudukotai Dinakarrao | 2 | 2022 |
| Empowering Malware Detection Efficiency within Processing-in-Memory Architecture S Kasarapu, S Bavikadi, SMP Dinakarrao arXiv preprint arXiv:2404.08818, 2024 | 1 | 2024 |
| Coarse-Grained High-speed Reconfigurable Array-based Approximate Accelerator for Deep Learning Applications K Mercado, S Bavikadi, SM PD 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | 1 | 2023 |
| Accelerating Adversarial Attack using Process-in-Memory Architecture S Liu, S Bavikadi, T Sen, H Shen, PR Sutradhar, A Ganguly, ... 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | 1 | 2022 |
| Energy Harvesting-assisted Ultra-Low-Power Processing-in-Memory Accelerator for ML Applications S Shukla, S Bavikadi, SM Pudukotai Dinakarrao Proceedings of the Great Lakes Symposium on VLSI 2024, 633-638, 2024 | | 2024 |
| ReApprox-PIM: Reconfigurable Approximate Look-Up-Table (LUT)-Based Processing-in-Memory (PIM) Machine Learning Accelerator S Bavikadi, PR Sutradhar, M Indovina, A Ganguly, SMP Dinakarrao IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 | | 2024 |
| Look-up table containing processor-in-memory cluster for data-intensive applications A Ganguly, SMP Dinakarrao, M Connolly, PR Sutradhar, S Bavikadi, ... US Patent 11,775,312, 2023 | | 2023 |
Amlan GangulyDepartment Head and Professor of Computer Engineering, Rochester Institute of Technology在 rit.edu 的电子邮件经过验证
