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Welcome to LittleFe.net | LittleFe

Welcome to LittleFe.net. Many institutions and teaching environments do not have access to parallel platforms for parallel and distributed computing education. Teaching key concepts such as speedup, efficiency, and load balancing are much more effectively done on a parallel platform. LittleFe is a complete 6 node Beowulf style portable computational cluster which supports shared memory parallelism (OpenMP), distributed memory parallelism (MPI), and GPGPU parallelism.

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Welcome to LittleFe.net | LittleFe | littlefe.org Reviews

https://littlefe.org

Welcome to LittleFe.net. Many institutions and teaching environments do not have access to parallel platforms for parallel and distributed computing education. Teaching key concepts such as speedup, efficiency, and load balancing are much more effectively done on a parallel platform. LittleFe is a complete 6 node Beowulf style portable computational cluster which supports shared memory parallelism (OpenMP), distributed memory parallelism (MPI), and GPGPU parallelism.

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littlefe.org littlefe.org
1

Curriculum | LittleFe

http://www.littlefe.org/curriculum

This is the document that defines the curriculum module format for the LittleFe 6-node, Beowulf-style, portable computational cluster. The purpose of these curricular materials is to assist with teaching the application of high-performance computing to particular problems in science, engineering or mathematics using LittleFe. Email your materials to the LittleFe developers mailing list, littlefe-developers@littlefe.net. The VVA peer-review process includes:. Is the problem framed correctly? Are the curri...

2

Who We Are | LittleFe

http://www.littlefe.org/about

LittleFe is a part of Acme project, Acme = LittleFe Bootable Cluster CD Computational Science Education Reference Desk. Earlham College Cluster Computing Group. One of the homes of the LittleFe project. Another one of the homes of the LittleFe project. Bootable Cluster CD Project (BCCD). Software image of choice for LittleFe's world-wide. The Computational Science Education Reference Desk. Charlie Peck, Earlham College (charliep -at- cs -dot- earlham -dot- edu). Skylar Thompson, University of Washington.

3

On the Road | LittleFe

http://www.littlefe.org/on-the-road

SIGCSE 2015 - March, 2015, in Kansas City, MO. XSEDE14 - July, 2014, in Atlanta, GA. Blue Waters Student Internship Program - May, 2014, at the National Center for Supercomputing Applications, University of Illinois at Urbana Champaign. Tapia 2014 - February, 2014, in Seattle, WA. SC13 - November, 2013, in Denver, CO. XSEDE13 - July, 2013, in San Diego, CA. NCSI Intermediate Parallel Computing - July, 2013, Louisiana State University Center for Computation and Technology and LA-SiGMA in Baton Rouge, LA.

4

Resources | LittleFe

http://www.littlefe.org/resources

The list of parts required to build a v4d LittleFe. Detailed step-by-step instructions for assembling a v4d LittleFe. LittleFe v4d Hardware Modified for Hadoop/HBase. Courtesy of Dr. David Monismith, Northwest Missouri State University. The list of parts required to build a v4d-modified LittleFe. Pics of Northwest Missouri State University's v4d-modified LittleFe. The list of parts required to build a v4 LittleFe. Detailed step-by-step instructions for assembling a v4 LittleFe.

5

History | LittleFe

http://www.littlefe.org/history

LittleFe began as an idea by Paul Gray (University of Northern Iowa), Dave Joiner (Kean University), Tom Murphy (Contra Costa College), and Charlie Peck (Earlham College) in 2005. While they had been teaching computational science education, they realized that their curricula depended on local computing resources that were not always present. On the cluster. This was much more maintainable, but its live CD nature meant it was difficult to have configuration and data persist between reboots of the clu...

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Welcome to LittleFe.net | LittleFe

Welcome to LittleFe.net. Many institutions and teaching environments do not have access to parallel platforms for parallel and distributed computing education. Teaching key concepts such as speedup, efficiency, and load balancing are much more effectively done on a parallel platform. LittleFe is a complete 6 node Beowulf style portable computational cluster which supports shared memory parallelism (OpenMP), distributed memory parallelism (MPI), and GPGPU parallelism.

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Welcome to LittleFe.net | LittleFe

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