Evaluating MapReduce for Multi-core and Multiprocessor...

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Google Video tech Talks February 27, 2007 ABSTRACT This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers with thousands of servers. It allows programmers to write functional-style code that is automatically parallelized and scheduled in a distributed system. We describe Phoenix, an implementation of MapReduce for shared-memory systems that includes a programming API and an efficient runtime system. The Phoenix runtime automatically manages thread creation, dynamic task scheduling, data partitioning, and fault tolerance across processor nodes. We study Phoenix with...

Channel: Howto & Style
Uploaded: October 8, 2007 at 6:06 pm
Author: googletechtalks

Length: 0:44:47
Rating: 5.00
Views: 2,330

Tags: google howto evaluating mapreduce multi core

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