Geo.Engineerings

464 pages - Publisher: Butterworth-Heinemann; 3rd edition (May 3, 2013)
Language: English - ISBN-10: 0080983359 - ISBN-13: 978-0080983356 

Analysis of Turbulent Flows is written by one of the most prolific authors in the field of CFD. Professor of Aerodynamics at SUPAERO and Director of DMAE at ONERA, Professor Tuncer Cebeci calls on both his academic and industrial experience when presenting this work. Each chapter has been specifically constructed to provide a comprehensive overview of turbulent flow and its measurement. Analysis of Turbulent Flows serves as an advanced textbook for PhD candidates working in the field of CFD and is essential reading for researchers, practitioners in industry and MSc and MEng students.

The field of CFD is strongly represented by the following corporate organizations: Boeing, Airbus, Thales, United Technologies and General Electric. Government bodies and academic institutions also have a strong interest in this exciting field.

An overview of the development and application of computational fluid dynamics (CFD), with real applications to industry + Contains a unique section on short-cut methods - simple approaches to practical engineering problems.

Jung W. Suh, Youngmin Kim ... 258 pages - Publisher: Morgan Kaufmann; 1st edition (December, 2013) ... Language: English - ISBN-10: 0124080804 - ISBN-13: 978-0124080805 ...

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products.  Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers’ projects.  Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/. It includes: Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge + Explains the related background on hardware, architecture and programming for ease of use + Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects.