Nearly all the computers sold today have a multi-core processor, but only a small number of applications are written to take advantage of the extra cores. Most programmers are playing catch-up. A recent consultation with a group of senior programming engineers revealed the top three hurdles in adopting parallelism: the challenges of porting legacy code, the lack of education, and the lack of the right kinds of programming tools. This book helps to address some of these hurdles.
This book was written to help you use Intel Parallel Studio XE to write programs that use the latest features of multi-core CPUs. With the help of this book, you should be able to produce code that is fast, safe, and parallel. In addition to helping you write parallel code, some chapters cover other optimization topics that you can use in your code development, regardless of whether or not you are developing parallel code. Most of the chapters include hands-on activities that will help you apply the techniques being explained.
Optimize code for multi-core processors with Intel's Parallel Studio
Parallel programming is rapidly becoming a "must-know" skill for developers. Yet, where to start? This teach-yourself tutorial is an ideal starting point for developers who already know Windows C and C++ and are eager to add parallelism to their code. With a focus on applying tools, techniques, and language extensions to implement parallelism, this essential resource teaches you how to write programs for multicore and leverage the power of multicore in your programs. Sharing hands-on case studies and real-world examples, the authors examine the challenges of each project and show you how to overcome them.
Explores conversion of serial code to parallel
Focuses on implementing Intel Parallel Studio
Highlights the benefits of using parallel code
Addresses error and performance optimization of code
Includes real-world scenarios that illustrate the techniques of advanced parallel programming situations
Parallel Programming with Intel Parallel Studio dispels any concerns of difficulty and gets you started creating faster code with Intel Parallel Studio.