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Multi-threaded Game Engine Design: SMP experiments

Multi-threaded Game Engine Design: SMP experiments
Author: Jonathan S. Harbour
Publisher:
Total Pages: 572
Release: 2011
Genre: Computer games
ISBN: 9781436455985
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"Multi-threaded Game Engine Design shows experienced game developers how to apply multi-thread techniques to game programming technology to improve game performance. Using Direct3D and C++, a sample game engine is created step-by-step throughout the course of the book, and numerous examples illustrate the concepts presented. Detailed screenshots and well documented source code help readers understand the techniques being presented throughout the book. Multi-threading is one of the hottest game development topics today and this book will show you how to apply cutting edge techniques to your programming skill set"--Resource description page.

Multi-threaded Game Engine Design

Multi-threaded Game Engine Design
Author: Jonathan S. Harbour
Publisher: Course Technology
Total Pages: 0
Release: 2011
Genre: Computer games
ISBN: 9781435454170
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This book shows experienced game developers how to apply multi-thread techniques to game programming technology to improve game performance. Using Direct3D and C++, a sample game engine is created step-by-step throughout the course of the book, and numerous examples illustrate the concepts presented.

Multithreaded Game Engine Architecture Design and Performance

Multithreaded Game Engine Architecture Design and Performance
Author: James Eelke Bekkema
Publisher:
Total Pages: 210
Release: 2006
Genre: Application software
ISBN:
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"The complexity associated with creating multithreaded game engines poses a significant challenge to developers (Coffee, 2006). Due to the significant development time required for modern game engines, developers are reluctant to develop new game engines that use multithreading. Hence effective multithreading in modern game engines does not currently exist. Although there has been a significant amount of research into concurrent programming and game engine design as separate topics, little existing research addresses the challenge of developing a multithreaded game engine. The purpose of this research is to address multithreading concerns, specifically how multithreading can be used to increase game engine performance on multi-core and multi-processor hardware, and how to develop a reusable multithreaded game engine. This research aims to show that a multithreaded game engine framework model that effectively exploits modern multi-processor hardware can be developed for use in real-time applications. Such a model should have a performance increase over traditional serial game engines, yet still maintain accurate and realistic real-time situations."--Leaf 2.

Programming Persistent Memory

Programming Persistent Memory
Author: Steve Scargall
Publisher: Apress
Total Pages: 384
Release: 2020-01-09
Genre: Computers
ISBN: 1484249321
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Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

The Art of Concurrency

The Art of Concurrency
Author: Clay Breshears
Publisher: "O'Reilly Media, Inc."
Total Pages: 306
Release: 2009-05-07
Genre: Computers
ISBN: 0596555784
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If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code, along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations. Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you: Understand parallelism and concurrency Explore differences between programming for shared-memory and distributed-memory Learn guidelines for designing multithreaded applications, including testing and tuning Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.

Parallel and Concurrent Programming in Haskell

Parallel and Concurrent Programming in Haskell
Author: Simon Marlow
Publisher: "O'Reilly Media, Inc."
Total Pages: 322
Release: 2013-07-12
Genre: Computers
ISBN: 1449335926
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If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network

Programming Many-Core Chips

Programming Many-Core Chips
Author: András Vajda
Publisher: Springer Science & Business Media
Total Pages: 233
Release: 2011-06-10
Genre: Technology & Engineering
ISBN: 1441997393
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This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of parallelism inherent to these chips, software designers face new challenges in terms of operating systems, middleware and applications. This will serve as an invaluable, single-source reference to the state-of-the-art in programming many-core chips. Coverage includes many-core architectures, operating systems, middleware, and programming models.

PC Mag

PC Mag
Author:
Publisher:
Total Pages: 472
Release: 1995-10-24
Genre:
ISBN:
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PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.

Multi-core Programming

Multi-core Programming
Author: Shameem Akhter
Publisher:
Total Pages: 336
Release: 2006
Genre: Parallel programming (Computer science)
ISBN: 9780976483243
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Multi-core Programming deals with computers/software.

Optimized C++

Optimized C++
Author: Kurt Guntheroth
Publisher: "O'Reilly Media, Inc."
Total Pages: 387
Release: 2016-04-27
Genre: Computers
ISBN: 1491922036
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In today’s fast and competitive world, a program’s performance is just as important to customers as the features it provides. This practical guide teaches developers performance-tuning principles that enable optimization in C++. You’ll learn how to make code that already embodies best practices of C++ design run faster and consume fewer resources on any computer—whether it’s a watch, phone, workstation, supercomputer, or globe-spanning network of servers. Author Kurt Guntheroth provides several running examples that demonstrate how to apply these principles incrementally to improve existing code so it meets customer requirements for responsiveness and throughput. The advice in this book will prove itself the first time you hear a colleague exclaim, “Wow, that was fast. Who fixed something?” Locate performance hot spots using the profiler and software timers Learn to perform repeatable experiments to measure performance of code changes Optimize use of dynamically allocated variables Improve performance of hot loops and functions Speed up string handling functions Recognize efficient algorithms and optimization patterns Learn the strengths—and weaknesses—of C++ container classes View searching and sorting through an optimizer’s eye Make efficient use of C++ streaming I/O functions Use C++ thread-based concurrency features effectively