Common Runtime for Applications (CRA)
Common Runtime for Applications (CRA) is a software layer (library) that makes it easy to create and deploy distributed dataflow-style applications on top of resource managers such as Kubernetes, YARN, and stand-alone cluster execution.
Systems for Deep Learning
We are re-thinking how systems can be designed to empower Artificial Intelligence (AI)/deep learning researchers, developers and users. Deep Learning Model Training One example is the Gandiva cluster scheduler project. Deep learning training jobs are…
Systems for Society
We are interested in building practical systems that can leverage latest technologies to benefit society. Traffic AutoCalib is a system for scalable, automatic calibration of traffic cameras. AutoCalib uses deep learning to extract selected key-point…
Systems for AI
We are re-thinking how systems can be designed to empower Artificial Intelligence (AI)/Deep learning researchers, developers and users. Deep Learning Model Training One example is the Gandiva cluster scheduler project. Deep learning training jobs are…