QCMP is a Reinforcement Learning based load balancing solution implemented within the data plane, providing dynamic policy adjustment with quick response to changes in traffic. This repo is the ...

When millions click at once, auto-scaling won’t save you — smart systems survive with load shedding, isolation and lots of ...

Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.

The Wireless Wheel Load Measurement System of Althen Sensors & Controls accurately weighs and determines the balance of each and every individual axle. Using force values in newton’s of all 16 wheels ...