• Design and implement efficient parallel software
• Master new programming techniques to address and solve complex programming problems
• Explore the world of parallel programming...

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such...

Fortran is one of the oldest high-level languages and remains the premier language for writing code for science and engineering applications. Modern Fortran: Style and Usage is a book for anyone who uses Fortran, from the novice learner to the advanced expert. It describes best practices for programmers, scientists, engineers, computer...

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...

The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book, "Parallel Programming in C with MPI and OpenMP" addresses the needs of...

From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the...

• Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
• Become an expert in writing the most efficient and highest...

Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features *Emphasizes how to solve problems, with correctness the...

Parallel hardware has been ubiquitous for some time now. It’s difficult to find a laptop, desktop, or server that doesn’t use a multicore processor. Beowulf clusters are nearly as common today as high-powered workstations were during the 1990s, and cloud computing could make distributed-memory systems as accessible as...