11 citations · 37 across the 21 of their papers we have counts for
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cs.DC2021
STRETCH: Virtual Shared-Nothing Parallelism for Scalable and Elastic Stream Processing
Vincenzo Gulisano, Hannaneh Najdataei, Yiannis Nikolakopoulos +3
Stream processing applications extract value from raw data through Directed Acyclic Graphs of data analysis tasks. Shared-nothing (SN) parallelism is the de-facto standard to scale…
cs.DC2021★ 2 cited
Consistent Lock-free Parallel Stochastic Gradient Descent for Fast and Stable Convergence
Karl Bäckström, Ivan Walulya, Marina Papatriantafilou +1
Stochastic gradient descent (SGD) is an essential element in Machine Learning (ML) algorithms. Asynchronous parallel shared-memory SGD (AsyncSGD), including synchronization-free al…