6 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.DC2017★ 6 cited
Sparkle: Optimizing Spark for Large Memory Machines and Analytics
Mijung Kim, Jun Li, Haris Volos +7
Spark is an in-memory analytics platform that targets commodity server environments today. It relies on the Hadoop Distributed File System (HDFS) to persist intermediate checkpoint…
cs.LG2016
Modeling Scalability of Distributed Machine Learning
Alexander Ulanov, Andrey Simanovsky, Manish Marwah
Present day machine learning is computationally intensive and processes large amounts of data. It is implemented in a distributed fashion in order to address these scalability issu…
cs.DC2015★ 2 cited
Matrix Computations and Optimization in Apache Spark
Reza Bosagh Zadeh, Xiangrui Meng, Aaron Staple +6
We describe matrix computations available in the cluster programming framework, Apache Spark. Out of the box, Spark provides abstractions and implementations for distributed matric…