mapreduce.sandia.gov
MapReduce-MPI LibraryMapReduce-MPI home page
http://mapreduce.sandia.gov/
MapReduce-MPI home page
http://mapreduce.sandia.gov/
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MapReduce-MPI Library | mapreduce.sandia.gov Reviews
https://mapreduce.sandia.gov
MapReduce-MPI home page
Glenn K. Lockwood: May 2014
https://glennklockwood.blogspot.com/2014_05_01_archive.html
Glenn K. Lockwood. Personal thoughts and opinions of a supercomputing enthusiast. Friday, May 16, 2014. Hadoop's Uncomfortable Fit in HPC. Hadoop has come up in a few conversations I've had in the last few days, and it's occurred to me that the supercomputing community continues having a difficult time fully understanding how Hadoop currently fits (and should fit) into scientific computing. HPCwire was kind enough to run a piece that let me voice my perspective. 1 Hadoop is an invader. OpenMP was develop...
Machined Learnings: February 2014
http://www.machinedlearnings.com/2014_02_01_archive.html
Cue Butlerian Jihad in 3, 2, 1, . Friday, February 21, 2014. Stranger in a Strange Land. I attended the SIAM PP 2014. The Data Must Flow. One of the first things I heard at the conference was that “map-reduce ignores data locality”. The speaker, Steve Plimpton, clearly understood map-reduce, having implemented MapReduce for MPI. This was a big clue that they mean something very different by data locality (i.e., they do not mean “move the code to the data”). Moderately distorted, is a good match for what ...
WikiHadoop: February 2015
http://www.wikihadoop.com/2015_02_01_archive.html
All about BigData - Hadoop. What is Class InputFormat? For a Map-Reduce job. The Map-Reduce framework relies on the InputFormat of the job to:. Validate the input-specification of the job. Split-up the input file(s) into logical InputSplits, each of which is then assigned to an individual Mapper. Provide the RecordReader implementation to be used to glean input records from the logical InputSplit for processing by the Mapper. What is Class InputSplit? And is the responsibility of RecordReader. Gets info ...
WikiHadoop: Alternatives to Bigdata hadoop framework.
http://www.wikihadoop.com/2015/02/alternatives-to-bigdata-hadoop-framework.html
All about BigData - Hadoop. Alternatives to Bigdata hadoop framework. Here are some of the alternatives or technologies that is used for bigdata processing other than Hadoop. Https:/ spark.apache.org. High Performance Computing Cluster) is a massive parallel-processing computing platform that solves Big Data problems. HPCC is a proven and battle-tested platform for manipulating, transforming, querying and data warehousing Big Data. Apache Storm is a free and open source distributed realtime computation s...
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mapreduce-tutorial.blogspot.com
MapReduce Tutorial
Using Amazon Web Services. Hadoop's power comes from its ability to perform work on a large number of machines simultaneously. What if you want to experiment with Hadoop, but do not have many machines? While operations on a two or four-node cluster are functionally equivalent to those on a 40 or 100-node cluster, processing larger volumes of data will require a larger number of nodes. After the cluster has been started, you can log in to the head node over ssh with the bin/hadoop-ec2 login script, and pe...
The Apache Way | Open Source Community
The Apache Way: Hadoop resources. A resource for those seeking open source enlightenment. The Apache Software Foundation. What is Apache Hadoop? The hottest new data processing tool since. the abacus. The best resource for learning about Apache Hadoop is the project website. There are more resources to find, both within the website and on the Hadoop mailing list archives. An excellent reference to The Apache Way is JAaron Farr's most excellent presentation entitled " The Apache Way. Happy Birthday, ASF.
mapreduce.net
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MapReduce-MPI Library
A grain of wisdom is worth an ounce of knowledge, which is worth a ton of data. It is a capital mistake to theorize before one has data. This is the home page for the MapReduce-MPI (MR-MPI) library, which is an open-source implementation of MapReduce written for distributed-memory parallel machines on top of standard MPI message passing. Latest features and bug fixes. The MR-MPI library was developed at Sandia National Laboratories, a US Department of Energy facility, for use on informatics problems.
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Kirk's Map Redux: Another horrible sequel.
Kirk's Map Redux: Another horrible sequel. May 7, 2010. Final Project: Choropleth and Isarithmic Mapping. Figure 1. Map of county population density in Wisconsin. Figure 2. Map of San Juan County in Washington State. Figure 3. View from Mount Constitution, the highest point in the San Juan County at 2408 ft above sea level. Figure 4. Bellingham, Washington as seen from Mount Constitution. [Bellingham is in the middle-left of the photo.]. Figure 6. Ferry dock on Orcas Island. Subscribe to: Posts (Atom).
