3 papers
cs.LG2026
NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training
Tanvi Sharma, Reza Rawassizadeh
Training neural networks is difficult to interpret, particularly for newcomers. We introduce NeuroViz, an interactive visualization tool that supports real-time exploration of full…
cs.AR2025
WWW: What, When, Where to Compute-in-Memory
Tanvi Sharma, Mustafa Ali, Indranil Chakraborty +1
Matrix multiplication is the dominant computation during Machine Learning (ML) inference. To efficiently perform such multiplication operations, Compute-in-memory (CiM) paradigms h…
cs.AR2025
Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory
Dong Eun Kim, Tanvi Sharma, Kaushik Roy
Transformers have become the backbone of neural network architecture for most machine learning applications. Their widespread use has resulted in multiple efforts on accelerating a…