<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>MPI on a.dev</title><link>https://aditya08.github.io/tags/mpi/</link><description>Recent content in MPI on a.dev</description><generator>Hugo -- 0.148.0</generator><language>en</language><lastBuildDate>Mon, 05 Dec 2016 00:00:00 +0000</lastBuildDate><atom:link href="https://aditya08.github.io/tags/mpi/index.xml" rel="self" type="application/rss+xml"/><item><title>Matrix Factorizations at Scale: A Comparison of Scientific Data Analytics in Spark and C+MPI Using Three Case Studies</title><link>https://aditya08.github.io/publications/matrixfact/</link><pubDate>Mon, 05 Dec 2016 00:00:00 +0000</pubDate><guid>https://aditya08.github.io/publications/matrixfact/</guid><description>This paper compares Spark and C+MPI implementations of matrix factorizations for scientific data analytics</description></item></channel></rss>