Mathematical Statistical

Accelerating MATLAB with GPU Computing: A Primer with by Jung W. Suh,Youngmin Kim

By Jung W. Suh,Youngmin Kim

Beyond simulation and set of rules improvement, many builders more and more use MATLAB even for product deployment in computationally heavy fields. This usually calls for that MATLAB codes run quicker by means of leveraging the dispensed parallelism of photos Processing devices (GPUs). whereas MATLAB effectively offers high-level services as a simulation device for swift prototyping, the underlying information and data wanted for using GPUs make MATLAB clients hesitate to step into it. Accelerating MATLAB with GPUs bargains a primer on bridging this hole.

Starting with the fundamentals, establishing MATLAB for CUDA (in home windows, Linux and Mac OS X) and profiling, it then courses clients via complicated issues corresponding to CUDA libraries. The authors proportion their adventure constructing algorithms utilizing MATLAB, C++ and GPUs for big datasets, editing MATLAB codes to raised make the most of the computational strength of GPUs, and integrating them into advertisement software program products.  through the e-book, they exhibit many instance codes that may be used as templates of C-MEX and CUDA codes for readers’ projects.  obtain instance codes from the publisher's web site: http://booksite.elsevier.com/9780124080805/

  • Shows easy methods to speed up MATLAB codes throughout the GPU for parallel processing, with minimum knowledge
  • Explains the similar historical past on undefined, structure and programming for ease of use
  • Provides basic labored examples of MATLAB and CUDA C codes in addition to templates that may be reused in real-world projects

Show description

Read or Download Accelerating MATLAB with GPU Computing: A Primer with Examples PDF

Best mathematical & statistical books

Software for Data Analysis: Programming with R (Statistics and Computing)

John Chambers turns his realization to R, the drastically winning open-source procedure in accordance with the S language. His booklet publications the reader via programming with R, starting with uncomplicated interactive use and progressing by way of sluggish levels, beginning with uncomplicated services. extra complex programming concepts might be extra as wanted, permitting clients to develop into software program members, reaping rewards their careers and the group.

Statistical Programming with SAS/IML Software

The 1st publication to supply a complete description of SAS/IML software program and the way to exploit it. Wicklin offers suggestions and strategies that enable you use the IML approach and the SAS/IML Studio program successfully. It additionally indicates tips to create and regulate statistical graphs, name SAS techniques and R capabilities from a SAS/IML software, and enforce such smooth statistical concepts as simulations and bootstrap equipment within the SAS/IML language.

Practical Data Analysis - Second Edition

Key FeaturesLearn the right way to flip information into actual insightExplore quite a few concrete examples by way of blending info and algorithms to find the issues we don’t be aware of that we don’t knowApply computer studying algorithms to other forms of information reminiscent of social networks, time sequence, and imagesBook DescriptionBeyond buzzwords like tremendous facts or information technology, there are a very good possibilities to innovate in lots of companies utilizing information research to get data-driven items.

Market Data Analysis Using JMP

With the robust interactive and visible performance of JMP, you could dynamically examine industry facts to remodel it into actionable and important info with transparent, concise, and insightful reviews and monitors. industry info research utilizing JMP is a different example-driven ebook since it has a particular program concentration: marketplace facts research.

Extra resources for Accelerating MATLAB with GPU Computing: A Primer with Examples

Example text

Download PDF sample

Rated 4.57 of 5 – based on 21 votes