'Current cluster programming models' presentation slideshows

Spark

Spark. In-Memory Cluster Computing for Iterative and Interactive Applications. Matei Zaharia, Mosharaf Chowdhury , Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker , Ion Stoica. UC BERKELEY. Motivation.

949 views • 42 slides

Spark

Spark. Fast, Interactive, Language-Integrated Cluster Computing. Wen Zhiguang wzhg0508@163.com 2012.11.20. Project Goals. Extend the MapReduce model to better support two common classes of analytics apps: >> Iterative algorithms (machine learning, graph) >> Interactive data mining

685 views • 42 slides

Spark

Spark. In-Memory Cluster Computing for Iterative and Interactive Applications. Matei Zaharia, Mosharaf Chowdhury , Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker , Ion Stoica. UC BERKELEY. Motivation.

561 views • 42 slides

Spark Resilient Distributed Datasets:

607 views • 36 slides

Spark

Spark. Fast, Interactive, Language-Integrated Cluster Computing. Matei Zaharia, Mosharaf Chowdhury , Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker , Ion Stoica. www.spark-project.org. UC BERKELEY. Project Goals.

408 views • 25 slides

Spark

Spark. Fast, Interactive, Language-Integrated Cluster Computing. Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker, Ion Stoica. UC Berkeley. Background.

405 views • 23 slides

Spark

Spark. Fast, Interactive, Language-Integrated Cluster Computing. Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker, Ion Stoica. UC Berkeley. Background.

350 views • 23 slides