Login       My Wishlist
  My Cart
$0.00 / 0 items
 
EMS Linux
Utilizing the Best Tools With Linux
 
International Access
Global Shipping Options Available
Home About Us News Our Blog Our Catalog My Cart My Account Track Shippment Contact Us
  Our Catalog   Parallel Programming

BIG DATA PROCESSING with MATLAB. PARALLEL COMPUTING and APPLICATIONS


On Sale Now! Save 8% on the BIG DATA PROCESSING with MATLAB. PARALLEL COMPUTING and APPLICATIONS by CreateSpace Independent Publishing Platform at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s


Product Description

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions. MATLAB has the tools to work with large datasets and apply the necessary data analysis techniques. Parallel computing allows you to carry out many calculations simultaneously. Large problems can often be split into smaller ones, which are then solved at the same time. The main reasons to consider parallel computing are to: • Save time by distributing tasks and executing these simultaneously • Solve big data problems by distributing data • Take advantage of your desktop computer resources and scale up to clusters and cloud computing Parallel Computing Toolbox provides you with tools for a local cluster of workers on your client machine. MATLAB Distributed Computing Server software allows you to run as many MATLAB workers on a remote cluster of computers as your licensing allows. Most MathWorks products enable you to run applications in parallel. For example, Simulink models can run simultaneously in parallel. MATLAB Compiler and MATLAB Compiler SDK software let you build and deploy parallel applications. Several MathWorks products now offer built-in support for the parallel computing products, without requiring extra coding. Many applications involve multiple segments of code, some of which are repetitive. Often you can use for-loops to solve these cases. The ability to execute code in parallel, on one computer or on a cluster of computers, can significantly improve performance in many cases. Parallel Computing Toolbox software improves the performance of such loop execution by allowing several MATLAB workers to execute individual loop iterations simultaneously. Even running local workers all on the same machine as the client, you might see significant performance improvement on a multicore/multiprocessor machine. So whether your loop takes a long time to run because it has many iterations or because each iteration takes a long time, you can improve your loop speed by distributing iterations to MATLAB workers. When working interactively in a MATLAB session, you can offload work to a MATLAB worker session to run as a batch job. The command to perform this job is asynchronous, which means that your client MATLAB session is not blocked, and you can continue your own interactive session while the MATLAB worker is busy evaluating your code. The MATLAB worker can run either on the same machine as the client, or if using MATLAB Distributed Computing Server, on a remote cluster machine. If you have an array that is too large for your computer's memory, it cannot be easily handled in a single MATLAB session. Parallel Computing Toolbox software allows you to distribute that array among multiple MATLAB workers, so that each worker contains only a part of the array. Yet you can operate on the entire array as a single entity. Each worker operates only on its part of the array, and workers automatically transfer data between themselves when necessary, as, for example, in matrix multiplication. A large number of matrix operations and functions have been enhanced to work directly with these arrays without further modification. When writing code for Parallel Computing Toolbox software, you should advance one step at a time in the complexity of your application. Verifying your program at each step prevents your having to debug several potential problems simultaneously. If you run into any problems at any step along the way, back up to the previous step and reverify your code.

Additional Information

Manufacturer:CreateSpace Independent Publishing Platform
Publisher:CreateSpace Independent Publishing Platform
Studio:CreateSpace Independent Publishing Platform
EAN:9781979663809
Item Size:0.99 x 10 x 10 inches
Package Weight:2.35 pounds
Package Size:8 x 0.99 x 0.99 inches

BIG DATA PROCESSING with MATLAB. PARALLEL COMPUTING and APPLICATIONS by CreateSpace Independent Publishing Platform

Buy Now:
BIG DATA PROCESSING with MATLAB. PARALLEL COMPUTING and APPLICATIONS

Brand: CreateSpace Independent Publishing Platform
Condition: New
Lead Time: 1 - 2 Business Days
Availability: In Stock
$29.95
$27.80
You Save: 7%


Quantity:  

 


View More In Parallel Programming.

 


Have questions about this item, or would like to inquire about a custom or bulk order?


If you have any questions about this product by CreateSpace Independent Publishing Platform, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.

First Name:
Last Last:
Email Address:
Your Message:

Related Best Sellers


ean: 9780128046296, isbn: 0128046295,
Mobile Security and Privacy: Advances, Challenges and Future Research Directions provides the first truly holistic view of leading edge mobile security research from Dr. Man Ho Au and Dr. Raymond Choo-leading researchers in mobile security. Mobile de...

ean: 9781680502473, isbn: 1680502476,
Reactive programming is revolutionary. It makes asynchronous programming clean, intuitive, and robust. Use RxJS 5 to write complex programs in a simple way, and master the Observable: a powerful data type that substitutes callbacks and promises. Thin...

ean: 9780262692168, isbn: 0262692163,
Since its release in summer 1994, the Message Passing Interface (MPI) specification has become a standard for message-passing libraries for parallel computations. There exist more than a dozen implementations on a variety of computing platforms, from...

ean: 9780128053034, isbn: 0128053038,
Contemporary Digital Forensic Investigations of Cloud and Mobile Applications comprehensively discusses the implications of cloud (storage) services and mobile applications on digital forensic investigations. The book provides both digital forensic p...

ean: 9781788399487, isbn: 178839948X,
Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applicationsKey FeaturesUnderstand common performance pitfalls and improve the performance of your applications.Get to grips with parallel ...

ean: 9780128097649, isbn: 0128097647,
Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking a...

mpn: 35243673, ean: 9780124159334, isbn: 0124159338,
If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to ...

ean: 9780128038192, isbn: 0128038195,
High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming – i...

ean: 9780128037614, isbn: 012803761X,
Shared Memory Application Programming presents the key concepts and applications of parallel programming, in an accessible and engaging style applicable to developers across many domains. Multithreaded programming is today a core technology, at the b...

mpn: black & white illustrations, ean: 9781783288397, isbn: 1783288396,
Develop efficient parallel systems using the robust Python environmentAbout This Book Demonstrates the concepts of Python parallel programming Boosts your Python computing capabilities Contains easy-to-understand explanations and plenty of examples W...



Privacy Policy / Terms of Service
© 2018 - emslinux.com. All Rights Reserved.