UC Berkeley RISELab

UC Berkeley RISELab
Name	RISELab
Established	2017
Type	Research lab
Affiliation	University of California, Berkeley
Location	Berkeley, California
Director	Armando Fox
Focus	Systems, machine learning, distributed computing, real-time analytics

UC Berkeley RISELab The RISELab at University of California, Berkeley is a research center focused on building next-generation systems for real-time, intelligent, secure, and explainable computing. The lab brings together researchers from Department of Electrical Engineering and Computer Sciences and partners across academia and industry to develop projects that intersect with technologies such as Apache Spark, TensorFlow, Kubernetes, Rust (programming language), and Graph Neural Network applications. Its work has influenced initiatives at organizations including Intel Corporation, NVIDIA, Google, Microsoft, and Amazon (company).

Overview

RISELab conducts research at the intersection of systems and artificial intelligence, emphasizing production-quality implementations that address scalability and safety. The lab's agenda aligns with trends in distributed platforms exemplified by MapReduce, Hadoop, Flink, Apache Cassandra, and cloud-native orchestration represented by Docker. Leadership includes faculty with connections to institutions such as Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, Princeton University, and research labs like Google Research and Microsoft Research. RISELab projects often contribute to open-source ecosystems used by companies such as Uber, Netflix, Airbnb, and Spotify.

Research Areas

RISELab focuses on multiple technical domains: real-time stream processing influenced by research on Storm (distributed real-time computation system), low-latency serving inspired by Nginx and Envoy (software), and secure computation drawing on methods from Homomorphic encryption and work by groups at IBM Research. Other areas include machine learning systems building on frameworks like PyTorch and Scikit-learn, recommendation and personalization techniques related to algorithms used at Facebook, Pinterest, and LinkedIn (company), and fairness and interpretability research connected to efforts at ACM Conference on Fairness, Accountability, and Transparency and NeurIPS. Infrastructure topics connect to distributed consensus protocols such as Paxos and Raft, and data provenance research paralleling approaches from W3C.

History and Formation

RISELab was formed in the wake of Berkeley's prior research efforts like the AMPLab and projects including Apache Spark and Alluxio, continuing a lineage of systems research that traces to pioneers at UC Berkeley and collaborations with researchers from University of Washington, University of California, San Diego, and University of Illinois Urbana-Champaign. Its founding consolidated faculty and students around a mission echoing earlier initiatives such as the Berkeley Data Analytics Stack and drew on funding models similar to those used by centers working with National Science Foundation and Defense Advanced Research Projects Agency. The lab's creation followed high-profile contributions from researchers who had previously worked on systems adopted by industry consortia like the Cloud Native Computing Foundation.

Projects and Systems

Notable RISELab projects include systems for stream processing, model serving, and privacy-preserving analytics. Implementations reflect design principles from Lambda (architecture), Kappa architecture, and production systems like ClickHouse. Several projects have produced software comparable to Presto (SQL query engine), Druid (data store), and CockroachDB, and have informed commercial offerings such as Google Bigtable and Amazon Aurora. Research prototypes have been demonstrated in contexts similar to deployments at Facebook AI Research, OpenAI, and DeepMind, and integrated with orchestration systems used by Red Hat and Canonical Ltd..

Partnerships and Funding

RISELab collaborates with a wide range of industrial partners including Intel Corporation, NVIDIA Corporation, Google LLC, Microsoft Corporation, Amazon.com, Inc., Uber Technologies, Inc., Airbnb, Inc., and venture-backed startups spun out of academic research. Funding comes from agencies and programs such as the National Science Foundation, Defense Advanced Research Projects Agency, corporate research grants from IBM, Oracle Corporation, and philanthropic support reminiscent of grants from organizations like the Gordon and Betty Moore Foundation. Collaborative projects often involve consortia with participants from Lawrence Berkeley National Laboratory, SLAC National Accelerator Laboratory, and international universities such as Tsinghua University and ETH Zurich.

Education and Outreach

The lab trains graduate students and postdoctoral researchers who have gone on to faculty positions at institutions including Stanford University, Carnegie Mellon University, Princeton University, and University of Toronto. It contributes to curriculum innovations within University of California, Berkeley courses and offers workshops at conferences such as SIGMOD, VLDB, OSDI, SOSP, and NeurIPS. Outreach efforts include collaboration with industry internship programs at Google Summer of Code, participation in standards forums like the W3C, and engagement with policy discussions at venues such as The White House technology briefing events.

Awards and Impact

Researchers affiliated with the lab have received recognitions similar to ACM SIGMOD Research Highlights, ACM Fellow appointments, IEEE Fellow distinctions, and best-paper awards at venues such as NeurIPS, ICML, SIGCOMM, and SOSP. The lab's outputs have influenced product roadmaps at firms like Google, Amazon Web Services, and Microsoft Azure and informed open-source projects adopted by communities around Apache Software Foundation and the Cloud Native Computing Foundation. Alumni have founded startups and contributed to companies that achieved exits involving Sequoia Capital and Andreessen Horowitz backing.

Category:University of California, Berkeley research centers