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1.

Pandas on Ray – Make Pandas faster

rise.cs.berkeley.edu

8 years ago

219 points

2.

Cloud Programming Simplified: A Berkeley View on Serverless Computing

rise.cs.berkeley.edu

7 years ago

166 points

3.

Going Fast and Cheap: How We Made Anna Autoscale

rise.cs.berkeley.edu

8 years ago

98 points

4.

Pandas on Ray – Early Lessons from Parallelizing Pandas

rise.cs.berkeley.edu

8 years ago

84 points

5.

Ground: A Data Context Service (2017) [pdf]

rise.cs.berkeley.edu

8 years ago

46 points

6.

An Open Source Tool for Scaling Multi-Agent Reinforcement Learning

rise.cs.berkeley.edu

8 years ago

42 points

7.

A Short History of Prediction-Serving Systems

rise.cs.berkeley.edu

8 years ago

26 points

8.

Modin: Speed up your pandas by changing one line of code

rise.cs.berkeley.edu

8 years ago

7 points

9.

Implementing a Parameter Server in 15 Lines of Python with Ray

rise.cs.berkeley.edu

8 years ago

robertnishihara

6 points

10.

Distributed Policy Optimizers for Scalable and Reproducible Deep RL

rise.cs.berkeley.edu

8 years ago

6 points

11.

SQL Query Optimization Meets Deep Reinforcement Learning

rise.cs.berkeley.edu

8 years ago

4 points

12.

Real-Time Intelligence with Secure Execution

rise.cs.berkeley.edu

9 years ago

3 points

13.

Anna: A Crazy Fast, Super-Scalable, Flexibly Consistent KVS

rise.cs.berkeley.edu

8 years ago

2 points

14.

Modern Parallel and Distributed Python: A Quick Tutorial on Ray

rise.cs.berkeley.edu

6 years ago

2 points

15.

Anna: A Crazy Fast, Super-Scalable, Flexibly Consistent KVS

rise.cs.berkeley.edu

8 years ago

2 points

16.

RISE Lab – UC Berkeley publications

rise.cs.berkeley.edu

8 years ago

2 points

17.

RISELab at UC Berkeley – REAL-TIME INTELLIGENT SECURE EXECUTION

rise.cs.berkeley.edu

9 years ago

2 points