M. Lakshmi Varshika
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
5
Active years
2021–2025
Best venue rank
A
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | DATE | Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Antonino Tumeo, Anup Das |
| 2025 | ICCAD | Optimizing Memory Latency and Bandwidth of Spiking Neural Network Accelerators on FPGA via Sparse Hashing. | Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das |
| 2025 | ICCAD | Neuromorphic Architectures for Scientific Computing: a Structural Characterization Case Study. | M. Lakshmi Varshika, Jonathan Hollenbach, Nicolas Bohm Agostini, Ankur Limaye, Marco Minutoli, Vito Giovanni Castellana, Joseph B. Manzano, Anup Das, Mitra Taheri, Antonino Tumeo |
| 2025 | ISCAS | A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs. | Arghavan Mohammadhassani, Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das |
| 2024 | ACSSC | QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware. | Shadi Matinizadeh, Arghavan Mohammadhassani, M. Lakshmi Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das |
| 2023 | ASPDAC | Hardware-Software Co-Design for On-Chip Learning in AI Systems. | M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das |
| 2022 | DATE | Design of Many-Core Big Little Brains for Energy-Efficient Embedded Neuromorphic Computing. | M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor |
| 2021 | ICCAD | A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. | Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy |