Evaluating MapReduce for Multi-core and Multiprocessor...

Google Video tech TalksFebruary 27, 2007ABSTRACTThis 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: December 31, 1969 at 5:59 pm
Author: googletechtalks

Length: 44:47
Rating: 5.00
Views: 2225

Tags: core  evaluating  google  howto  mapreduce  multi  

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