Matei Zaharia University of California, Berkeley Spark in Action Fast Big Data Analytics using Scala UC BERKELEY.
UC Berkeley Spark Cluster Computing with Working Sets Matei Zaharia, Mosharaf Chowdhury, Michael Franklin, Scott Shenker, Ion Stoica.
Using Apache Spark Pat McDonough - Databricks. Apache Spark spark.incubator.apache.org github.com/apache/incubator- spark [email protected].
Parallel Programming With Spark Matei Zaharia UC Berkeley.
Integrated Memory Controllers with Parallel Coherence Streams Mainak Chaudhuri Mark Heinrich IIT Kanpur University of Central Florida.
Matei Zaharia Fast and Expressive Big Data Analytics with Python UC BERKELEY spark-project.orgUC Berkeley / MIT.
CS162 Operating Systems and Systems Programming Lecture 14 Caching and Demand Paging October 19, 2005 Prof. John Kubiatowicz cs162.
Carnegie Mellon 1 Thread-Level Parallelism 15-213: Introduction to Computer Systems 26 th Lecture, Nov. 30, 2010 Instructors: Randy Bryant and Dave O’Hallaron.
Spark In-Memory Cluster Computing for Iterative and Interactive Applications Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy.
CS61C L32 Caches II (1) A Carle, Summer 2005 © UCB inst.eecs.berkeley.edu/~cs61c/su05 CS61C : Machine Structures Lecture #20: Caches 2 2005-07-26 Andy.
CIS629 Coherence 1 Cache Coherence: Snooping Protocol, Directory Protocol Some of these slides courtesty of David Patterson and David Culler.
Replicated Block Cache... block_id d e c o d e r N=2 n direct mapped cache FAi1i2i b word lines Final Collapse Fetch Buffer c o p y - 2 c o p y - 3 c o.
