As multicore and manycore systems become increasingly dominant, handling concurrency will be one of the most crucial challenges developers face. Just as most mainstream programmers have been required to master GUIs and objects, so it will be for concurrency: to achieve the performance they need, developers will have to build and master new libraries, tools, runtime systems, language extensions and above all, new programming best practices. In Effective Concurrency in C++, world-renowned programm...
Build, scale, and maintain microservices in Golang with ease. Key Features Create and organize well-structured Go microservices Learn industry best practices and gain insights into Go microservice development tools, patterns, and solutions Cover hands-on Golang examples in each chapter Book DescriptionThis book covers the key benefits and common issues of microservices, helping you understand the problems microservice architecture helps to solve, the issues it usually introduces, and the ways...
Get ready to code like a pro in Rust! This hands-on guide dives deep into memory management, asynchronous programming, and Rust design patterns and explores essential productivity techniques like testing, tooling, and project management. In Code Like A Pro in Rust you will learn: Essential Rust toolingCore Rust data structuresMemory managementDesign patterns for RustTesting in RustAsynchronous programming for RustOptimized RustRust project management Code Like A Pro in...
Build fast, scalable, and high performing applications with Delphi Key Features Build efficient and concurrent applications in Delphi with focused examples Identify performance bottlenecks and apply the correct algorithm to increase the performance of applications. Delve into parallel programming and memory management to optimize your code Book DescriptionDelphi is a cross-platform Integrated Development Environment (IDE) that supports rapid application development for Microsoft Windows, Appl...
This text is intended for a first course in Numerical Analysis taken by students majoring in mathematics, engineering, computer science, and the sciences. This text emphasizes the mathematical ideas behind the methods and the idea of mixing methods for robustness. The optional use of MATLAB is incorporated throughout the text.
Write High-Performance, Highly Scalable Multicore Applications for Leading Platforms Multicore Application Programming is a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use. Author Darryl Gove covers the leading approaches to parallelization on Windows, Linux, and Oracle Solaris. Through practical examples, he illuminates the challenges involved in writing applications that fully utilize multicore processors, helping you produ...
Advanced Python Programming
by Dr. Gabriele Lanaro, Quan Nguyen, and Sakis Kasampalis
Create distributed applications with clever design patterns to solve complex problemsKey FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook DescriptionThis Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about pro...
Parallel Programming in Openmp
by Rohit Chandra, Dave Kohr, Ramesh Menon, Leo Dagum, Dror Maydan, and Jeff McDonald
The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time, developers of technical and scientific applications in industry and in government laboratories find they need to parallelize huge volumes of code in a portable fashion. OpenMP, developed jointly by several parallel computing vendors to address these issues, is an industry-wide standard for programming shared-memory and di...
Heterogeneous Computing with OpenCL
by Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, and Dana Schaa
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you...
GPU-based Parallel Implementation of Swarm Intelligence Algorithms
by Ying Tan
GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers two emerging areas attracting increased attention and applications: graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence. This book not only presents GPGPU in adequate detail, but also includes guidance on the appropriate implementation of swarm intelligence algorithms on the GPU platform. GPU-based implementations of several typical swarm intelligence algorithms suc...
CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago. The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you’ll learn from complete examples you can build, run, and modify, complemented by additional projects...
Foundations of Quantum Programming discusses how new programming methodologies and technologies developed for current computers can be extended to exploit the unique power of quantum computers, which promise dramatic advantages in processing speed over currently available computer systems. Governments and industries around the globe are now investing vast amounts of money with the expectation of building practical quantum computers. Drawing upon years of experience and research in quantum comput...
Microsoft Visual Basic 2010 Developer's Handbook (Developer Reference)
by Klaus L Ffelmann, Sarika Calla Purohit, and Klaus Loffelmann
Your expert guide to building modern applications with Visual Basic 2010 Take control of Visual Basic 2010—for everything from basic Windows and web development to advanced multithreaded applications. Written by Visual Basic experts, this handbook provides an in-depth reference on language concepts and features, as well as scenario-based guidance for putting Visual Basic to work. It's ideal whether you’re creating new applications with Visual Basic 2010 or upgrading projects built with an earli...
This millennium will see the increased use of parallel computing technologies at all levels of mainstream computing. Most computer hardware will use these technologies to achieve higher computing speeds, high speed access to very large distributed databases and greater flexibility through heterogeneous computing. These developments can be expected to result in the extended use of all types of parallel computers in virtually all areas of human endeavour. Compute-intensive problems in emerging are...
This book concerns a Josephson device for supercomputers which has extremely low heat dissipation (about 106 times less than semiconductor devices and 103 times less than voltage-based Josephson devices). In the previous book on Quantum Flux Parametrons (QFPs), DC Flux Parametron, the basic device operation are described. This book deals in much greater depth on the problems which are faced by the QFP. The device characteristics are worked out in detail showing clearly the analysis methods used....
Parallel Computation (Institute of Mathematics & Its Applications Conference Series, New S., #46)
It is becoming widely accepted that parallel computing is the only way to achieve the processing speeds that are required to meet the future needs of computer users. However designing and building larage parallel computers may not be the most difficult task: there are difficult software problems too that require the development of new solution algorithms which are capable of supporting many parallels. The emphasis of this conference was on the applications of parallel processing, on the implemen...
Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical, highly accessible text-which is linked to real parallel programming software-covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs. Supported by the National Science Foundation and exhaustively class-tested, it is the first text of its kind that does not require access to a special multiprocessor system, concentrating inste...
Annual Review Of Scalable Computing, Vol 3 (Series On Scalable Computing, #3)
by Chung Kwong Yuen
The third volume in the Series on Scalable Computing, this book contains five new articles describing significant developments in the field. Included are such current topics as clusters, parallel tools, load balancing, mobile systems, and architecture independence.
Using MPI (Using MPI) (Scientific and Engineering Computation)
by William Gropp, Ewing Lusk, and Anthony Skjellum
The Message Passing Interface (MPI) specification is widely used for solving significant scientific and engineering problems on parallel computers. There exist more than a dozen implementations on computer platforms ranging from IBM SP-2 supercomputers to clusters of PCs running Windows NT or Linux ("Beowulf" machines). The initial MPI Standard document, MPI-1, was recently updated by the MPI Forum. The new version, MPI-2, contains both significant enhancements to the existing MPI core and new f...
Professional CUDA C Programming
by John Cheng, Max Grossman, and Ty McKercher
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes...