Blog

Low-Latency Model Serving with Clipper

The mission of the RISELab is to develop technologies that enable applications to make low-latency decisions on live data with strong security. One of the first steps towards achieving this goal is to study techniques to evaluate machine...

07/31/2017

Opaque: Secure Apache Spark SQL

As enterprises move to cloud-based analytics, the risk of cloud security breaches poses a serious threat. Encrypting data at rest and in transit is a major first step. However, data must still be decrypted in memory for processing, expos...

07/28/2017

Announcing Ground v0.1

We’re excited to be releasing v0.1 of the Ground project! Ground is a data context service. It is a central repository for all the information surrounding the use of data in an organization. Ground concerns itself with what data an organ...

07/18/2017

RISELab Announces 3 Open Source Releases

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-so...

05/30/2017

RISELab at Spark Summit

This year, Spark Summit East was held in Boston between February 7-9. With over 1,500 attendees, this was the largest Spark Summit ever outside the Bay Area. Apache Spark, developed in large at AMPLab (the precursor of RISELab), is now t...

03/17/2017

Serverless Scientific Computing

For many scientific and engineering users, cloud infrastructure remains challenging to use. While many of their use cases are embarrassingly parallel, the challenges involved in provisioning and using stateful cloud services keep them tr...

03/08/2017