Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
In this era of large-scale data, distributed systems built on top of clusters of commodity hardware provide cheap and reliable storage and scalable processing of massive data. With cheap storage, instead of storing only currently relevant data, it is common to store as much data as possible, hoping that its …