「MapReduce」に関連した動画の一覧 |
 | Cluster Computing and MapReduce Lecture 1 Lecture 1 in a five part series introducing mapreduce and cluster computing. See code.google.com for slides and other resources. 2007年08月29日再生回数 130605 |
 | MapReduce ntroduction to MapReduce, an Abstraction for Large-Scale Computation. An overview of the most popular back-end platform in Google usd for anything from Indexing to Maps. Relation to Data center structure and some public domain variations such as Hadoop. 2008年11月27日再生回数 22179 |
 | CS 61A Lecture 34: Mapreduce I CS61A The Structure and Interpretation of Computer Programs Instructor Brian Harvey Spring 2008 Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical problems of implementation of languages and algorithms on a von Neumann machine. There are several significant programming projects, programmed in a dialect of the LISP language. 2008年08月01日再生回数 24785 |
 | Cluster Computing and MapReduce Lecture 2 Lecture 2: The MapReduce programming model. See code.google.com for slides and other resources. 2007年08月29日再生回数 61133 |
 | Google Technology RoundTable: Map Reduce Meet four of Google's Map Reduce expert engineers, Google Fellow Sanjay Ghemawat, Google Fellow Jeff Dean, Software Engineer Jerry Zhao and Software Engineer Matt Austern and watch as they discuss the origin, evolution and future of Map Reduce with Alfred Spector, Google VP of Research and Special Iniatives. www.google.com 2008年08月22日再生回数 28016 |
 | Google I/O 2011: App Engine MapReduce Mike Aizatskyi It is now possible to run full Map Reduce jobs on App Engine. This talk will include a short introduction into running Map Reduce jobs. After that we'll dive into practical and algorithmic aspects of generating various reports with Map Reduce. 2011年05月12日再生回数 7854 |
 | Cluster Computing and MapReduce Lecture 3 Lecture 3: The Google File System. See code.google.com for slides and other resources. 2007年08月29日再生回数 34304 |
 | Cluster Computing and MapReduce Lecture 4 Lecture 4: Clustering Algorithms with MapReduce. See code.google.com slides and other resources. 2007年08月29日再生回数 88542 |
 | Evaluating MapReduce for Multi-core and Multiprocessor... 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... 2007年10月09日再生回数 5850 |
 | Cluster Computing and MapReduce Lecture 5 Lecture 5: Parallel Graph Algorithms with MapReduce. See code.google.com for slides and other resources. 2007年08月29日再生回数 28758 |
