Joe Hellerstein

Co-Director of the RISELab. Jim Gray Professor of Computer Science at Berkeley Founder and CSO, Trifacta. |


A Berkeley View of Systems Challenges for AI

Data Tweening: Incremental Visualization of Data Transforms

High Performance Transactions via Early Write Visibility

Ground: A Data Context Service

Scalable Atomic Visibility with RAMP Transactions

Putting logic-based distributed systems on stable grounds

ReStream: Accelerating Backtesting and Stream Replay with Serial-Equivalent Parallel Processing

A DeVIL-ish approach to inconsistency in interactive visualizations

Blog Posts

RISELab Announces 3 Open Source Releases

Joe Hellerstein blog, Clipper, Ground, Open Source, Projects, Ray, Systems

Part of the Berkeley tradition—and the RISELab mission—is to release open source software as part of our research agenda. Six months after launching the lab, we’re excited to announce initial v0.1 releases of three RISElab open-source systems: Clipper, Ground and Ray. Clipper is an open-source prediction-serving system. Clipper simplifies deploying models from a wide range of machine learning frameworks by exposing a common REST interface and automatically ensuring low-latency and high-throughput predictions.  In the 0.1 release, we focused on reliable support for serving models trained in Spark and Scikit-Learn.  In the next release we will be introducing support for TensorFlow and Caffe2 as well as online-personalization and multi-armed bandits.  We are providing active support for early users and will be following Github issues …