Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks

no code implementations • 21 Aug 2021 • Sasindu Wijeratne, Sandaruwan Jayaweera, Mahesh Dananjaya, Ajith Pasqual

Convolutional Neural Networks (CNNs) are widely used in deep learning applications, e. g. visual systems, robotics etc.

Quantization

Scalable High Performance SDN Switch Architecture on FPGA for Core Networks

no code implementations • 30 Oct 2019 • Sasindu Wijeratne, Ashen Ekanayake, Sandaruwan Jayaweera, Danuka Ravishan, Ajith Pasqual

Due to the increasing heterogeneity in network user requirements, dynamically varying day to day network traffic patterns and delay in-network service deployment, there is a huge demand for scalability and flexibility in modern networking infrastructure, which in return has paved way for the introduction of Software Defined Networking (SDN) in core networks.

Vocal Bursts Intensity Prediction