Linux Science Software - Linux Computer Algebra System Software, Linux Library and Information Science Software (Paperback)


Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 25. Chapters: ALGOR, Bioconductor, ClearHealth, Code Aster, DataScene, Emergent (software), FLUKA, Folding@home, Geometry Expressions, HippoDraw, LabKey Server, List of Folding@home cores, MedinTux, Multidimensional hierarchical toolkit, Neuro Laboratory, OpenChrom, OpenEMR, Referencer, Rmetrics, SOFA Statistics, UrQMD, WXP, X-12-ARIMA. Excerpt: Folding@home (FAH or F@h) is a distributed computing project for disease research that simulates protein folding, computational drug design, and other types of molecular dynamics. The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its primary purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structure and determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande laboratory at Stanford University, under the direction of Vijay Pande, and is shared by various scientific institutions and research laboratories across the world. The project has pioneered the use of GPUs, PlayStation 3s, and Message Passing Interface (used for computing on multi-core processors) for distributed computing and scientific research. The project uses statistical simulation methodology that is a paradigm shift from traditional computational approaches. As part of the client-server network architecture, the volunteered machines each receive pieces of a simulation (work units), complete them, and return them to the project's database servers where the units are compiled into an overall simulation. Volunteers can track their contributions on the Folding@home website, which makes volunteers' participation competitive and encourages long-term involvement. Folding@home is one of the world's fastest computing systems, with a speed of approximately 12 petaFLOPS: greater than all projects running on the BOINC distributed computing

R419

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles4190
Delivery AdviceOut of stock

Toggle WishListAdd to wish list
Review this Item

Product Description

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 25. Chapters: ALGOR, Bioconductor, ClearHealth, Code Aster, DataScene, Emergent (software), FLUKA, Folding@home, Geometry Expressions, HippoDraw, LabKey Server, List of Folding@home cores, MedinTux, Multidimensional hierarchical toolkit, Neuro Laboratory, OpenChrom, OpenEMR, Referencer, Rmetrics, SOFA Statistics, UrQMD, WXP, X-12-ARIMA. Excerpt: Folding@home (FAH or F@h) is a distributed computing project for disease research that simulates protein folding, computational drug design, and other types of molecular dynamics. The project uses the idle processing resources of thousands of personal computers owned by volunteers who have installed the software on their systems. Its primary purpose is to determine the mechanisms of protein folding, which is the process by which proteins reach their final three-dimensional structure, and to examine the causes of protein misfolding. This is of significant academic interest with major implications for medical research into Alzheimer's disease, Huntington's disease, and many forms of cancer, among other diseases. To a lesser extent, Folding@home also tries to predict a protein's final structure and determine how other molecules may interact with it, which has applications in drug design. Folding@home is developed and operated by the Pande laboratory at Stanford University, under the direction of Vijay Pande, and is shared by various scientific institutions and research laboratories across the world. The project has pioneered the use of GPUs, PlayStation 3s, and Message Passing Interface (used for computing on multi-core processors) for distributed computing and scientific research. The project uses statistical simulation methodology that is a paradigm shift from traditional computational approaches. As part of the client-server network architecture, the volunteered machines each receive pieces of a simulation (work units), complete them, and return them to the project's database servers where the units are compiled into an overall simulation. Volunteers can track their contributions on the Folding@home website, which makes volunteers' participation competitive and encourages long-term involvement. Folding@home is one of the world's fastest computing systems, with a speed of approximately 12 petaFLOPS: greater than all projects running on the BOINC distributed computing

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Booksllc.Net

Country of origin

United States

Release date

May 2013

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

May 2013

Authors

Dimensions

246 x 189 x 1mm (L x W x T)

Format

Paperback - Trade

Pages

60

ISBN-13

978-1-233-14899-8

Barcode

9781233148998

Categories

LSN

1-233-14899-0



Trending On Loot