CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices...

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...

• Learn the latest features of C++ and how to write better code by using the Standard Library (STL). Reduce the development time for your applications.
• Understand the scope and power of STL features to deal with real-world problems.
• Compose your own algorithms without forfeiting...

• Learn to combine your asynchronous operations with Task Parallel Library
• Master C#'s asynchronous infrastructure and use...

• Explore how you can blend object-oriented and functional programming styles in Java
• Use lambda expressions to write flexible and succinct code
• A tutorial that...

This easy to read textbook provides an introduction to computer architecture, while focusing on the essential aspects of hardware that programmers need to know. The topics are explained from a programmer’s point of view, and the text emphasizes consequences for programmers. Divided in five parts, the book covers the basics of digital...