Posted by **lengen** at June 19, 2017

English | Dec. 28, 2015 | ISBN: 1257992546 | 532 Pages | PDF | 39 MB

This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.

The field of high performance scientific computing lies at the crossroads of a number of disciplines and skill sets, and correspondingly, for someone to be successful at using high performance computing in science requires at least elementary knowledge of and skills in all these areas.

Posted by **step778** at May 23, 2017

2004 | pages: 431 | ISBN: 9812561250 | DJVU | 1,8 mb

Posted by **AlenMiler** at May 5, 2017

English | 27 Apr. 2016 | ASIN: B01ARXUY78 | 232 Pages | AZW3 | 2.8 MB

Posted by **lengen** at April 18, 2017

English | July 17, 2008 | ISBN: 1584889454 | 348 Pages | PDF | 3 MB

Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extracts fundamental ideas and algorithmic principles from the mass of parallel algorithm expertise and practical implementations developed over the last few decades.

Posted by **naag** at April 4, 2017

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 38M | 751 MB

The SciPy Stack is a collection of Open-Source Python libraries finding their application in many areas of technical and scientific computing. It builds on the capabilities of the NumPy array object for faster computations, and contains modules and libraries for linear algebra, signal and image processing, visualization, and much more. Accordingly, gaining a solid working knowledge on some of the basic functionality of the SciPy Stack to solve mathematical models numerically is clearly the first step before one can start using it to tackle large-scale computational projects either in the industry or in the academic world.

Posted by **AvaxGenius** at March 26, 2017

English | EPUB | 2011 | 326 Pages | ISBN : 364219494X | 4.53 MB

How is it possible to predict weather patterns for tomorrow, with access solely to today’s weather data? And how is it possible to predict the aerodynamic behavior of an aircraft that has yet to be built?

Posted by **hill0** at March 1, 2017

English | 19 Feb. 2017 | ISBN: 3319538616 | 276 Pages | PDF | 32.36 MB

This book constitutes the thoroughly refereed post-conference proceedings of the First JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016.

Posted by **AvaxGenius** at Feb. 27, 2017

This text provides an introduction to the numerical solution of initial and boundary value problems in ordinary differential equations on a firm theoretical basis. This book strictly presents numerical analysis as a part of the more general field of scientific computing.

Posted by **AvaxGenius** at Feb. 27, 2017

This introductory book directs the reader to a selection of useful elementary numerical algorithms on a reasonably sound theoretical basis, built up within the text. The primary aim is to develop algorithmic thinking-emphasizing long-living computational concepts over fast changing software issues.

Posted by **interes** at Feb. 22, 2017

English | 2016 | ISBN: 1498757774 | 604 pages | PDF | 39,2 MB