Matrix Computations and Optimization in Apache Spark ∗ Reza Bosagh Zadeh Xiangrui Meng

First Page		Document Content
Date: 2016-08-06 03:04:23 Numerical linear algebra Apache Spark Matrix Basic Linear Algebra Subprograms Singular value decomposition Lanczos algorithm Rank ARPACK LAPACK Linear algebra Sparse matrix QR decomposition		Matrix Computations and Optimization in Apache Spark ∗ Reza Bosagh Zadeh Xiangrui Meng Add to Reading List Source URL: matroid.com Download Document from Source Website File Size: 545,08 KB Share Document on Facebook

	Databricks Security A Primer About Databricks Databricks is a hosted end-to-end data platform powered by Apache® Spark™. Databricks makes it easy to DocID: 1uwO3 - View Document
	Dublin Apache Kafka Meetup, 30 AugustThe SMACK Stack: Spark, Mesos, Akka, Cassandra, Kafka Elizabeth K. Joseph DocID: 1tHnJ - View Document
	Peeling the Onion How Data Abstractions Help Build BigData Apps Andreas Neumann @caskoid November 2016 Cask, CDAP, Cask Hydrator and Cask Tracker are trademarks or registered trademarks of Cask Data. Apache Spark, Spark, DocID: 1tdJO - View Document
	We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit DocID: 1sokL - View Document
	Towards a Big Data Debugger in Apache Spark Tyson Condie, UCLA Tuning Spark Applica>ons •  Commonly through visualiza>on tools DocID: 1s5yq - View Document