December 09, 2021

RaNNC, Automatic Parallelization Middleware for Deep Learning, Wins First Place at PyTorch Annual Hackathon 2021

RaNNC (Rapid Neural Network Connector), automatic parallelization middleware for deep learning, developed by a research group including IST's professor, TAURA, Kenjiro (Department of Information and Communication Engineering,IST/Director of Information Technology Center, The University of Tokyo) won first place at the PyTorch Annual Hackathon 2021 (PyTorch Developer Tools & Libraries category).
RaNNC has been developed through collaborative research by the National Institute of Information and Communications Technology(NICT) and the University of Tokyo.

Related Link:
Press release issued by Information Technology Center, the University of Tokyo.