Hardware

Efficient Machine Learning across Hardware, Software, and Algorithms

Prof. Mohamed Abdelfattah, Electrical and Computer Engineering Department at Cornell University

Dec 17, 14:00 - 15:30

B2 L5 R5209

Efficient machine learning Hardware software algorithms

Deep neural networks (DNNs) are revolutionizing computing, necessitating an integrated approach across the computing stack to optimize efficiency. In this talk, I will explore the frontier of DNN optimization, spanning algorithms, software, and hardware. We'll start with hardware-aware neural architecture search, demonstrating how tailoring DNN architectures to specific hardware can drastically enhance performance.

Yuxiang Liu

Ph.D. Student, Electrical and Computer Engineering

Optical Wireless Communication embedded systems Hardware software development FPGA

PhD candidate in the Networking Research Lab(NETLAB) at King Abdullah University of Science and Technology.