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1.

Pandas on Ray – Make Pandas faster (rise.cs.berkeley.edu)

219 points

8 years ago

2.

Cloud Programming Simplified: A Berkeley View on Serverless Computing (rise.cs.berkeley.edu)

166 points

7 years ago

3.

Going Fast and Cheap: How We Made Anna Autoscale (rise.cs.berkeley.edu)

98 points

8 years ago

4.

Pandas on Ray – Early Lessons from Parallelizing Pandas (rise.cs.berkeley.edu)

84 points

8 years ago

5.

Ground: A Data Context Service (2017) [pdf] (rise.cs.berkeley.edu)

46 points

8 years ago

6.

An Open Source Tool for Scaling Multi-Agent Reinforcement Learning (rise.cs.berkeley.edu)

42 points

8 years ago

7.

A Short History of Prediction-Serving Systems (rise.cs.berkeley.edu)

26 points

8 years ago

8.

Modin: Speed up your pandas by changing one line of code (rise.cs.berkeley.edu)

7 points

8 years ago

9.

Implementing a Parameter Server in 15 Lines of Python with Ray (rise.cs.berkeley.edu)

6 points

robertnishihara

8 years ago

10.

Distributed Policy Optimizers for Scalable and Reproducible Deep RL (rise.cs.berkeley.edu)

6 points

8 years ago

11.

SQL Query Optimization Meets Deep Reinforcement Learning (rise.cs.berkeley.edu)

4 points

8 years ago

12.

Real-Time Intelligence with Secure Execution (rise.cs.berkeley.edu)

3 points

9 years ago

13.

Anna: A Crazy Fast, Super-Scalable, Flexibly Consistent KVS (rise.cs.berkeley.edu)

2 points

8 years ago

14.

Modern Parallel and Distributed Python: A Quick Tutorial on Ray (rise.cs.berkeley.edu)

2 points

6 years ago

15.

Anna: A Crazy Fast, Super-Scalable, Flexibly Consistent KVS (rise.cs.berkeley.edu)

2 points

8 years ago

16.

RISE Lab – UC Berkeley publications (rise.cs.berkeley.edu)

2 points

8 years ago

17.

RISELab at UC Berkeley – REAL-TIME INTELLIGENT SECURE EXECUTION (rise.cs.berkeley.edu)

2 points

9 years ago