Professor Hung-Wei Tseng has received a 495K grant from National Science Foundation’s Division of Computer and Network Systems to explore application designs on Tensor Processing Units (TPUs). TPUs are emerging, commercialized accelerators for neural networks. Despite the current focus on NN models, the microarchitecture of TPUs have potential in accelerating many other tensor-based, high-dimensional algorithms. This project will build an infrastructure, including runtime system, programming languages and computer architectures, that allows TPUs’ processing model to accelerate a wider spectrum of applications. More information can be found at https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007124.