M. Lakshmi Varshika

According to our database, M. Lakshmi Varshika authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs.

Arghavan Mohammadhassani, Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Optimizing Memory Latency and Bandwidth of Spiking Neural Network Accelerators on FPGA via Sparse Hashing.

Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

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

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture.

Shadi Matinizadeh, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Arghavan Mohammadhassani, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das

CoRR, 2024

CMOS-Memristor Hybrid Design of A Neuromorphic Crossbar Array with Integrated Inference and Training.

Sarah Johari, Arghavan Mohammadhassani, M. Lakshmi Varshika, Anup Das

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Neuromorphic Computing for the Masses.

Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das

Proceedings of the International Conference on Neuromorphic Systems, 2024

QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware.

Shadi Matinizadeh, Arghavan Mohammadhassani, M. Lakshmi Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das

Proceedings of the 58th Asilomar Conference on Signals, 2024

Platform-Based Design of Embedded Neuromorphic Systems.

M. Lakshmi Varshika, Anup Das

Proceedings of the Embedded Machine Learning for Cyber-Physical, 2024

2023

Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance.

M. Lakshmi Varshika, Sarah Johari, Jayanth Dubey, Anup Das

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Hardware-Software Co-Design for On-Chip Learning in AI Systems.

M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review.

Phu Khanh Huynh, M. Lakshmi Varshika, Ankita Paul, Murat Isik, Adarsha Balaji, Anup Das

CoRR, 2022

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing.

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

A design methodology for fault-tolerant computing using astrocyte neural networks.

Murat Isik, Ankita Paul, M. Lakshmi Varshika, Anup Das

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022

2021

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing.

M. Lakshmi Varshika, Adarsha Balaji, Federico Corradi, Anup Das, Jan Stuijt, Francky Catthoor

CoRR, 2021

A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware.

Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021