Fiber: Distributed Computing for AI Made Simple | Uber Engineering BlogFiber: Distributed Computing for AI Made Simple | Uber Engineering BlogUber EngineeringSearch iconSearch iconUber Chevron ArrowUb

Fiber: Distributed Computing for AI Made Simple | Uber Engineering BlogFiber: Distributed Computing for AI Made Simple | Uber Engineering BlogUber EngineeringSearch iconSearch iconUber Chevron ArrowUb

Project Homepage: GitHub Over the past several years, increasing processing power of computing machines has led to an increase in machine learning advances. More and more, algorithms exploit parallelism and rely on distributed training to process an enormous amount of data. However, the resulting need to increase both data and training impose great challenges on the software that manages and utilizes large-scale computational resources. At Uber, we’ve developed algorithms such as POET, Go-Explore, and GTN that leverage a large amount of computation to train models on neural networks. To enable future generations of large-scale computation for algorithms like these, we

23 mentions: @jeffclune@UberEng@kenneth0stanley@_calio@UberOpenSource@jameskobielus@rtkushner@brekelov
Date: 2020/06/30 09:15

Referring Tweets

@UberEng New on our blog today! Uber built and open sourced Fiber, distributed computing library. To enable users to implement large-scale distributed computation for machine learning applications easily on a computer cluster #AI #MachineLearning #opensource t.co/fDgI7MyXsI t.co/LcB2E2Ly6a
@UberOpenSource New on our blog today! Uber built and open sourced Fiber, distributed computing library. To enable users to implement large-scale distributed computation for machine learning applications easily on a computer cluster #AI #MachineLearning t.co/QfTOoMT36T t.co/AZFi0B14OF
@jeffclune Fiber, an open source platform for distributed machine learning, esp population-based methods like Enhanced POET. Program locally with a standard multiprocessing API then deploy to thousands of workers on any cluster. t.co/KC727aFMQL @_calio @ruiwang2uiuc @kenneth0stanley

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