Contributor Index

Kunal Banerjee
Kunal Banerjee is currently a Research Scientist at Parallel Computing Lab, Intel Labs, India. His research interests are in the areas of program analysis, formal methods, high-performance computing and deep learning. He received his PhD from the Department of Computer Science and Engineering, IIT Kharagpur in 2016. He has been a recipient of Senior Research Fellowship from the Department of Science and Technology, India, and TCS Research Fellowship from Tata Consultancy Services for supporting his doctoral studies. He won Best PhD Thesis award at VLSI Design 2018 and Techno Inventor Award (PhD) 2017 from India Electronics & Semiconductor Association (IESA). Presently, at Intel Labs, he has been contributing to Intel's software repositories on artificial neural networks, primarily focusing on kernel optimization, and low precision deep learning training and inference.
Research Poster
AI/Machine Learning/Deep Learning
Parallel Algorithms
Performance Analysis and Optimization