Oct 2013 — By Baker Mohammad
This book describes the various tradeoffs systems designers face when designing embedded memory. Readers designing multi-core systems and systems on chip will benefit from the discussion of different topics from memory architecture, array organization, circuit design techniques and design for test. The presentation enables a multi-disciplinary approach to chip design, which bridges the gap between the architecture level and circuit level, in order to address yield, reliability and power-related issues for embedded memory.
Jul 2007 — By James Reinders
Multi-core chips from Intel and AMD offer a dramatic boost in speed and responsiveness, and plenty of opportunities for multiprocessing on ordinary desktop computers. But they also present a challenge: More than ever, multithreading is a requirement for good performance. This guide explains how to maximize the benefits of these processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems. With it, you'll learn how to use Intel Threading Building Blocks (TBB) effectively for parallel programming -- without having to be a threading expert.Enables you to specify tasks instead of threads for better portability, easier programming, more understandable source code, and better performance and scalability in generalFocuses on the goal of parallelizing computationally intensive work to deliver high-level solutionsIs compatible with other threading packages, and doesn't force you to pick one package for your entire programEmphasizes scalable, data-parallel programming, which allows program performance to increase as you add processorsRelies on generic programming, which enables you to write the best possible algorithms with the fewest constraintsAny C++ programmer who wants to write an application to run on a multi-core system will benefit from this book. TBB is also very approachable for a C programmer or a C++ programmer without much experience with templates. Best of all, you don't need experience with parallel programming or multi-core processors to use this book.
Written by James Reinders, Chief Evangelist of Intel Software Products, and based on the experience of Intel's developers and customers, this book explains the key tasks in multithreading and how to accomplish them with TBB in a portable and robust manner. With plenty of examples and full reference material, the book lays out common patterns of uses, reveals the gotchas in TBB, and gives important guidelines for choosing among alternatives in order to get the best performance.
You'll learn how Intel Threading Building Blocks:
Dec 2015 — By Robert Oshana
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.
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 systemProvides a short-format book on the practical processes and techniques used in multicore software developmentCovers practical tips, tricks and industry case studies to enhance the learning process
Nov 2014 — By James Reinders and James Jeffers
High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming – illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems.Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel® Xeon Phi™Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codesSource code available for download to facilitate further exploration
Feb 2010 — By André LaMothe
The Only Official Guide to the Parallax Multicore Propeller Microcontroller
Written by a team of Propeller experts, this authoritative guide shows you how to realize your design concepts by taking full advantage of the multicore Propeller microcontroller's unique architecture. The book begins with a review of the Propeller hardware, software, and Spin language so you can get started right away. Programming and Customizing the Multicore Propeller Microcontroller: The Official Guide is filled with a wide variety of step-by-step, hands-on projects. Put your ideas into production when you learn how to: Debug code for multiple cores Understand how the Propeller interacts with different sensors Wirelessly network Propeller chips Build a balancing robot and control it with computer vision Develop networking applications using an off-the-shelf Ethernet chip Create a portable multivariable GPS tracking and data logging device Use the Propeller as a remote virtual peripheral for media applications Create a Propeller-powered HVAC green house model Synthesize speech with the Propeller
Experience more of the process at mhprofessional.com/propeller
Nov 2015 — By Yan Solihin
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 reference for professionals who deal with programming on multicore or designing multicore chips.
The text’s coverage of fundamental topics prepares students to study research papers in the multicore architecture area. The text offers many pedagogical features, including:Sufficiently short chapters that can be comfortably read over a weekend Introducing each concept by first describing the problem and building intuition that leads to the need for the concept "Did you know?" boxes that present mini case studies, alternative points of view, examples, and other interesting facts or discussion items Thought-provoking interviews with experts who share their perspectives on multicore architectures in the past, present, and future Online programming assignments and solutions that enhance students’ understanding
The first several chapters address programming issues in shared memory multiprocessors, such as the programming model and techniques to parallelize regular and irregular applications. The core of the book covers the architectures for shared memory multiprocessors. The final chapter contains interviews with experts in parallel multicore architecture.
Apr 2013 — By Bryon Moyer and Editor
This Expert Guide gives you the techniques and technologies in embedded multicore to optimally design and implement your embedded system. Written by experts with a solutions focus, this encyclopedic reference gives you an indispensable aid to tackling the day-to-day problems when building and managing multicore embedded systems.
Following an embedded system design path from start to finish, our team of experts takes you from architecture, through hardware implementation to software programming and debug.
With this book you will learn:
• What motivates multicore
• The architectural options and tradeoffs; when to use what
• How to deal with the unique hardware challenges that multicore presents
• How to manage the software infrastructure in a multicore environment
• How to write effective multicore programs
• How to port legacy code into a multicore system and partition legacy software
• How to optimize both the system and software
• The particular challenges of debugging multicore hardware and softwareExamples demonstrating timeless implementation detailsProven and practical techniques reflecting the authors’ expertise built from years of experience and key advice on tackling critical issues
Mar 2010 — By Thomas Rauber and Gudula Rünger
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.
Programming Multicore and Many-core Computing Systems (Wiley Series on Parallel and Distributed Computing)Feb 2017 — By Sabri Pllana, Editor and Fatos Xhafa, Editor
Programming multi-core and many-core computing systems
Sabri Pllana, Linnaeus University, Sweden
Fatos Xhafa, Technical University of Catalonia, Spain
Provides state-of-the-art methods for programming multi-core and many-core systems
The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems.
Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors. However, programmers have been traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the past, only a relatively small group of programmers interested in High Performance Computing (HPC) was concerned with the parallel programming issues, but the situation has changed dramatically with the appearance of multi-core processors on commonly used computing systems. It is expected that with the pervasiveness of multi-core processors, parallel programming will become mainstream.
The pervasiveness of multi-core processors affects a large spectrum of systems, from embedded and general-purpose, to high-end computing systems. This book assists programmers in mastering the efficient programming of multi-core systems, which is of paramount importance for the software-intensive industry towards a more effective product-development cycle.
Key features:Lessons, challenges, and roadmaps ahead. Contains real world examples and case studies. Helps programmers in mastering the efficient programming of multi-core and many-core systems.
The book serves as a reference for a larger audience of practitioners, young researchers and graduate level students. A basic level of programming knowledge is required to use this book.
Apr 2010 — By Georgios Kornaros and Editor
Details a real-world product that applies a cutting-edge multi-core architecture
Increasingly demanding modern applications—such as those used in telecommunications networking and real-time processing of audio, video, and multimedia streams—require multiple processors to achieve computational performance at the rate of a few giga-operations per second. This necessity for speed and manageable power consumption makes it likely that the next generation of embedded processing systems will include hundreds of cores, while being increasingly programmable, blending processors and configurable hardware in a power-efficient manner.
Multi-Core Embedded Systems presents a variety of perspectives that elucidate the technical challenges associated with such increased integration of homogeneous (processors) and heterogeneous multiple cores. It offers an analysis that industry engineers and professionals will need to understand the physical details of both software and hardware in embedded architectures, as well as their limitations and potential for future growth.
Discusses the available programming models spread across different abstraction levels
The book begins with an overview of the evolution of multiprocessor architectures for embedded applications and discusses techniques for autonomous power management of system-level parameters. It addresses the use of existing open-source (and free) tools originating from several application domains—such as traffic modeling, graph theory, parallel computing and network simulation. In addition, the authors cover other important topics associated with multi-core embedded systems, such as:
Architectures and interconnects
Embedded design methodologies
Mapping of applications
Programming paradigms and models of computation
Power optimization and reliability issues
Performance tools and benchmarks
Multi-core programming challenges
Compiler and operating system support
This is a detailed discussion of research on the interaction between multi-core systems, applications and software views, and processor configuration and extension, which add a new dimension to the problem space. The text offers a useful overview of the most widespread industrial and domain-specific solutions, providing several examples of working implementations.