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Programming Massively Parallel Processors discusses the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This book describes computational thinking techniques that will enable students to think about problems in ways that are amenable to high-performance para...

High Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge. In addition, practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innova...

Learn different ways of writing concurrent code in Elixir and increase your application's performance, without sacrificing scalability or fault-tolerance. Most projects benefit from running background tasks and processing data concurrently, but the world of OTP and various libraries can be challenging. Which Supervisor and what strategy to use? What about GenServer? Maybe you need back-pressure, but is GenStage, Flow, or Broadway a better choice? You will learn everything you need to know to ans...

Ready to unlock the power of your data? With the fourth edition of this comprehensive guide, you'll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You'll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This edition includes new case studies, updates on Hadoop 2, a...

Most applications today are distributed in some fashion. Monitoring the health and performance of these distributed architectures requires a new approach. Enter distributed tracing, a method of profiling and monitoring applications-especially those that use microservice architectures. There's just one problem: distributed tracing can be hard. But it doesn't have to be. With this practical guide, you'll learn what distributed tracing is and how to use it to understand the performance and operat...

These contributions provide a timely overview of research being done in universities and industry on state-of-the-art programming languages and compilers for parallel computers. The topics covered include languages and language extensions for parallel computing - a status report on CONSUL, a future-based parallel language for a general-purpose high-parallel computer; COOL, blackboard programming in shared Prolog, refined C, the XYZ abstraction levels of pokerlike languages, and the PARSEQ projec...

Dive deep into the essentials of Rust with this definitive guide that covers core programming features, techniques, and principles, setting a solid foundation for advanced system and web programming. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Boost your career by mastering Rust's unique features, from systems programming to secure web applications Stay ahead of the curve with insights into the latest tools and frameworks within the Rust ecosystem Tur...

Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of renowned expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques. The book begins with a highly focused introductory course designed to provide a w...

Emerging scientific and industrial applications in today's world require significant computing power. Modern software tools are available for such platforms but are relatively complex and require the use of innovative programming models. One promising area in modern software design is the development, analysis, and implementation of algorithms and adaptive methods. These advancements in programming are promising but lack relevant research and understanding. Formal and Adaptive Methods for Auto...

Enhance your applications' performance using best practices for benchmarking, application profiling, asynchronous programming, designing responsive UIs, gRPC communication, and distributed applicationsKey FeaturesMake the best use of performance enhancements in C# 10.0 and .NET 6Boost application performance by identifying hardware bottlenecks and common performance pitfallsGet to grips with best practices and techniques for improving the scalability of distributed systemsBook DescriptionWriting...

Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks....

The demand for more and more computer power in numerical weather prediction and meteorological research is as strong as ever. Previously, the world meteorological community tried to meet this demand by exploiting parallelism. In this field, the European Centre for Medium-Range Weather Forecasts has established itself as the central venue for bringing together operational weather forecasters, climate researchers and parallel computer manufacturers to share their experiences through a series of wo...

This book contains four review articles in the area of scalable computing. Two of the articles discuss methods and tools for the parallel solution of irregular problems, which have been satisfactorily worked out in heterogeneous systems. One surveys the technology and applications of multimedia server clusters, which are playing an increasing role in the current networked environment. An additional article discusses SilkRoad, which adds distributed shared memory capabilities to the Cilk parallel...

ICA3PP 2000 was an important conference that brought together researchers and practitioners from academia, industry and governments to advance the knowledge of parallel and distributed computing. The proceedings constitute a well-defined set of innovative research papers in two broad areas of parallel and distributed computing: (1) architectures, algorithms and networks; (2) systems and applications.

The latest edition of a classic text on concurrency and distributed programming – from a winner of the ACM/SIGCSE Award for Outstanding Contribution to Computer Science Education.

This is the book that will teach programmers to write faster, more efficient code for parallel processors. The reader is introduced to a vast array of procedures and paradigms on which actual coding may be based. Examples and real-life simulations using these devices are presented in C and FORTRAN.

If you've been tasked with the job of maintaining large and complex Hadoop clusters, or are about to be, this book is a must. You'll learn the particulars of Hadoop operations, from planning, installing, and configuring the system to providing ongoing maintenance. Hadoop is being adopted by more and more Fortune 500 companies, and the demand for operations-specific material has skyrocketed. This book - written by Eric Sammer, Principal Solution Architect at Cloudera - is the definitive operation...

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...

A hands-on guide to creating, monitoring, and tuning a high performance Spring web applicationKey FeaturesUnderstand common performance pitfalls and improve your application's performanceBuild and deploy strategies for complex applications using the microservice architectureUnderstand internals of JVM - the core of all Java Runtime EnvironmentsBook DescriptionWhile writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared to...

This handy guide brings together a unique collection of valuable MapReduce patterns that will save you time and effort regardless of the domain, language, or development framework you re using. Updated to include new versions of Hadoop, this second edition features several new patterns, such as transformation, join with a secondary sort, external join, and MapReduce over HBase.Each pattern is explained in context, with pitfalls and caveats clearly identified to help you avoid common design mista...

This book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications. The book also guides instructors via selected essays on what and how to introduce parallel and distributed computing topics into the undergraduate curricula, including quality criteria for para...