Publications & Research
Peer-reviewed papers in deep learning optimization and embedded systems.
Authors: Gopalakrishna Hegde, Nachiket Kapre
Focus: Deep learning optimization for embedded systems, production-ready C/C++ implementations
Impact: Novel techniques for accelerating CNNs on resource-constrained hardware
Authors: Gopalakrishna Hegde, Siddhartha, Nachiappan Ramasamy, Nachiket Kapre
Focus: High-performance deep learning library for embedded accelerators
Contribution: Open-source library enabling practical deployment of neural networks on edge devices
IEEE FCCM · 2016
Evaluating Embedded FPGA Accelerators for Deep Learning Applications
Authors: Gopalakrishna Hegde, Siddhartha, Nachiappan Ramasamy, Vamsi Buddha, Nachiket Kapre
Focus: FPGA-based acceleration for deep learning and computer vision
Contribution: Comprehensive evaluation of FPGA architectures for neural network inference
Authors: Gopalakrishna Hegde, Nachiket Kapre
Focus: Computer vision optimization, FPGA acceleration, parallel computing
Contribution: Energy-efficient implementation of computer vision algorithms on reconfigurable hardware