With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master the multicore challenge.

Professional Multicore Programming: Design and Implementation for C++ Developers presents the basics of multicore programming in a simple, easy-to-understand manner so that you can easily apply the concepts to your everyday projects. Learn the fundamentals of programming for multiprocessor and multithreaded architecture, progress to multi-core programming and eventually become comfortable with programming techniques that otherwise can be difficult to understand. Anticipate the pitfalls and traps of concurrency programming and synchronization before you encounter them yourself by finding them outlined in this indispensable guide to multicore programming.

This book provides a set of practical processes and techniques used for multicore software development. It is written with a focus on solving day to day problems using practical tips and tricks and industry case studies to reinforce the key concepts in multicore software development. Coverage includes: The multicore landscape Principles of parallel computing Multicore SoC architectures Multicore programming models The Multicore development process Multicore programming with threads Concurrency abstraction layers Debugging Multicore Systems Practical techniques for getting started in multicore development Case Studies in Multicore Systems Development Sample code to reinforce many of the concepts discussed Presents the ‘nuts and bolts’ of programming a multicore system Provides a short-format book on the practical processes and techniques used in multicore software development Covers practical tips, tricks and industry case studies to enhance the learning process

The multicore revolution has reached the deployment stage in embedded systems ranging from small ultramobile devices to large telecommunication servers. The transition from single to multicore processors, motivated by the need to increase performance while conserving power, has placed great responsibility on the shoulders of software engineers. In this new embedded multicore era, the toughest task is the development of code to support more sophisticated systems. This book provides embedded engineers with solid grounding in the skills required to develop software targeting multicore processors. Within the text, the author undertakes an in-depth exploration of performance analysis, and a close-up look at the tools of the trade. Both general multicore design principles and processor-specific optimization techniques are revealed. Detailed coverage of critical issues for multicore employment within embedded systems is provided, including the Threading Development Cycle, with discussions of analysis, design, development, debugging, and performance tuning of threaded applications. Software development techniques engendering optimal mobility and energy efficiency are highlighted through multiple case studies, which provide practical “how-to advice on implementing the latest multicore processors. Finally, future trends are discussed, including terascale, speculative multithreading, transactional memory, interconnects, and the software-specific implications of these looming architectural developments. Table of Contents Chapter 1 - Introduction Chapter 2 – Basic System and Processor Architecture Chapter 3 – Multi-core Processors & Embedded Chapter 4 –Moving To Multi-core Intel Architecture Chapter 5 – Scalar Optimization & Usability Chapter 6 – Parallel Optimization Using Threads Chapter 7 - Case Study: Data Decomposition Chapter 8 - Case Study: Functional Decomposition Chapter 9 – Virtualization & Partitioning Chapter 10 – Getting Ready For Low Power Intel Architecture Chapter 11 - Summary, Trends, and Conclusions Appendix I Glossary References *This is the only book to explain software optimization for embedded multi-core systems *Helpful tips, tricks and design secrets from an Intel programming expert, with detailed examples using the popular X86 architecture *Covers hot topics, including ultramobile devices, low-power designs, Pthreads vs. OpenMP, and heterogeneous cores

Although multicore is now a mainstream architecture, there are few textbooks that cover parallel multicore architectures. Filling this gap, Fundamentals of Parallel Multicore Architecture provides all the material for a graduate or senior undergraduate course that focuses on the architecture of multicore processors. The book is also useful as a ref

Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 Learn the fundamentals of programming multiple threads accessing shared memory Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience

This book constitutes the refereed proceedings of the International Conference on Multiscore Software Engineering, Performance, and Tools, MSEPT 2012, held in Prague in May/June 2012. The 9 revised papers, 4 of which are short papers were carefully reviewed and selected from 24 submissions. The papers address new work on optimization of multicore software, program analysis, and automatic parallelization. They also provide new perspectives on programming models as well as on applications of multicore systems.