Introduction to High Performance Scientific Computing

Introduction to High Performance Scientific Computing
Author: David L. Chopp
Publisher: SIAM
Total Pages: 470
Release: 2019-03-01
Genre: Mathematics
ISBN: 1611975646

Based on a course developed by the author, Introduction to High Performance Scientific Computing introduces methods for adding parallelism to numerical methods for solving differential equations. It contains exercises and programming projects that facilitate learning as well as examples and discussions based on the C programming language, with additional comments for those already familiar with C++. The text provides an overview of concepts and algorithmic techniques for modern scientific computing and is divided into six self-contained parts that can be assembled in any order to create an introductory course using available computer hardware. Part I introduces the C programming language for those not already familiar with programming in a compiled language. Part II describes parallelism on shared memory architectures using OpenMP. Part III details parallelism on computer clusters using MPI for coordinating a computation. Part IV demonstrates the use of graphical programming units (GPUs) to solve problems using the CUDA language for NVIDIA graphics cards. Part V addresses programming on GPUs for non-NVIDIA graphics cards using the OpenCL framework. Finally, Part VI contains a brief discussion of numerical methods and applications, giving the reader an opportunity to test the methods on typical computing problems.

High Performance Computing

High Performance Computing
Author: John Levesque
Publisher: CRC Press
Total Pages: 244
Release: 2010-12-14
Genre: Computers
ISBN: 1420077066

High Performance Computing: Programming and Applications presents techniques that address new performance issues in the programming of high performance computing (HPC) applications. Omitting tedious details, the book discusses hardware architecture concepts and programming techniques that are the most pertinent to application developers for achievi

C++ High Performance

C++ High Performance
Author: Björn Andrist
Publisher: Packt Publishing Ltd
Total Pages: 362
Release: 2018-01-31
Genre: Computers
ISBN: 1787124770

Write code that scales across CPU registers, multi-core, and machine clusters Key Features Explore concurrent programming in C++ Identify memory management problems Use SIMD and STL containers for performance improvement Book Description C++ is a highly portable language and can be used to write both large-scale applications and performance-critical code. It has evolved over the last few years to become a modern and expressive language. This book will guide you through optimizing the performance of your C++ apps by allowing them to run faster and consume fewer resources on the device they're running on without compromising the readability of your code base. The book begins by helping you measure and identify bottlenecks in a C++ code base. It then moves on by teaching you how to use modern C++ constructs and techniques. You'll see how this affects the way you write code. Next, you'll see the importance of data structure optimization and memory management, and how it can be used efficiently with respect to CPU caches. After that, you'll see how STL algorithm and composable Range V3 should be used to both achieve faster execution and more readable code, followed by how to use STL containers and how to write your own specialized iterators. Moving on, you’ll get hands-on experience in making use of modern C++ metaprogramming and reflection to reduce boilerplate code as well as in working with proxy objects to perform optimizations under the hood. After that, you’ll learn concurrent programming and understand lock-free data structures. The book ends with an overview of parallel algorithms using STL execution policies, Boost Compute, and OpenCL to utilize both the CPU and the GPU. What you will learn Benefits of modern C++ constructs and techniques Identify hardware bottlenecks, such as CPU cache misses, to boost performance Write specialized data structures for performance-critical code Use modern metaprogramming techniques to reduce runtime calculations Achieve efficient memory management using custom memory allocators Reduce boilerplate code using reflection techniques Reap the benefits of lock-free concurrent programming Perform under-the-hood optimizations with preserved readability using proxy objects Gain insights into subtle optimizations used by STL algorithms Utilize the Range V3 library for expressive C++ code Parallelize your code over CPU and GPU, without compromising readability Who this book is for If you're a C++ developer looking to improve the speed of your code or simply wanting to take your skills up to the next level, then this book is perfect for you.

Writing High-Performance .NET Code

Writing High-Performance .NET Code
Author: Ben Watson
Publisher:
Total Pages:
Release: 2014
Genre:
ISBN: 9780990583448

Do you want your .NET code to have the absolute best performance it can? This book demystifies the CLR, teaching you how and why to write code with optimum performance. Learn critical lessons from a person who helped design and build one of the largest high-performance .NET systems in the world.This book does not just teach you how the CLR works--it teaches you exactly what you need to do now to obtain the best performance today. It will expertly guide you through the nuts and bolts of extreme performance optimization in .NET, complete with in-depth examinations of CLR functionality, free tool recommendations and tutorials, useful anecdotes, and step-by-step guides to measure and improve performance.Among the topics you will learn are how to:- Choose what to measure and why- Use many amazing tools, freely available, to solve problems quickly- Understand the .NET garbage collector and its effect on your application- Use effective coding patterns that lead to optimal garbage collection performance- Diagnose common GC-related issues- Reduce costs of JITting- Use multiple threads sanely and effectively, avoiding synchronization problems- Know which .NET features and APIs to use and which to avoid- Use code generation to avoid performance problems- Measure everything and expose hidden performance issues- Instrument your program with performance counters and ETW events- Use the latest and greatest .NET features- Ensure your code can run on mobile devices without problems- Build a performance-minded team...and much more.

The Cg Tutorial

The Cg Tutorial
Author: Randima Fernando
Publisher: Addison-Wesley Professional
Total Pages: 402
Release: 2003
Genre: Computers
ISBN: 9780321194961

Cg is a complete programming environment for the fast creation of special effects and real-time cinematic quality experiences on multiple platforms. This text provides a guide to the Cg graphics language.

C++ High Performance

C++ High Performance
Author: Bjorn Andrist
Publisher: Packt Publishing Ltd
Total Pages: 545
Release: 2020-12-30
Genre: Computers
ISBN: 1839212586

A comprehensive guide to help aspiring and professional C++ developers elevate the performance of their apps by allowing them to run faster and consume fewer resources. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Updated to C++20 with completely revised code and more content on error handling, benchmarking, memory allocators, and concurrent programming Explore the latest C++20 features including concepts, ranges, and coroutines Utilize C++ constructs and techniques to carry out effective data structure optimization and memory management Book Description C++ High Performance, Second Edition guides you through optimizing the performance of your C++ apps. This allows them to run faster and consume fewer resources on the device they're running on without compromising the readability of your codebase. The book begins by introducing the C++ language and some of its modern concepts in brief. Once you are familiar with the fundamentals, you will be ready to measure, identify, and eradicate bottlenecks in your C++ codebase. By following this process, you will gradually improve your style of writing code. The book then explores data structure optimization, memory management, and how it can be used efficiently concerning CPU caches. After laying the foundation, the book trains you to leverage algorithms, ranges, and containers from the standard library to achieve faster execution, write readable code, and use customized iterators. It provides hands-on examples of C++ metaprogramming, coroutines, reflection to reduce boilerplate code, proxy objects to perform optimizations under the hood, concurrent programming, and lock-free data structures. The book concludes with an overview of parallel algorithms. By the end of this book, you will have the ability to use every tool as needed to boost the efficiency of your C++ projects. What you will learn Write specialized data structures for performance-critical code Use modern metaprogramming techniques to reduce runtime calculations Achieve efficient memory management using custom memory allocators Reduce boilerplate code using reflection techniques Reap the benefits of lock-free concurrent programming Gain insights into subtle optimizations used by standard library algorithms Compose algorithms using ranges library Develop the ability to apply metaprogramming aspects such as constexpr, constraints, and concepts Implement lazy generators and asynchronous tasks using C++20 coroutines Who this book is for If you're a C++ developer looking to improve the efficiency of your code or just keen to upgrade your skills to the next level, this book is for you.

Michael Abrash's Graphics Programming Black Book

Michael Abrash's Graphics Programming Black Book
Author: Michael Abrash
Publisher: Coriolis Group Books
Total Pages: 0
Release: 1997
Genre: Computer graphics
ISBN: 9781576101742

No one has done more to conquer the performance limitations of the PC than Michael Abrash, a software engineer for Microsoft. His complete works are contained in this massive volume, including everything he has written about performance coding and real-time graphics. The CD-ROM contains the entire text in Adobe Acrobat 3.0 format, allowing fast searches for specific facts.

Learning Vulkan

Learning Vulkan
Author: Parminder Singh
Publisher: Packt Publishing Ltd
Total Pages: 457
Release: 2016-12-15
Genre: Computers
ISBN: 178646084X

Discover how to build impressive 3D graphics with the next-generation graphics API—Vulkan About This Book Get started with the Vulkan API and its programming techniques using the easy-to-follow examples to create stunning 3D graphics Understand memory management in Vulkan and implement image and buffer resources Get hands-on with the drawing process and synchronization, and render a 3D graphics scene with the Vulkan graphics pipeline Who This Book Is For This book is ideal for graphic programmers who want to get up and running with Vulkan. It's also great for programmers who have experience with OpenGL and other graphic APIs who want to take advantage of next generation APIs. A good knowledge of C/C++ is expected. What You Will Learn Learn fundamentals of Vulkan programing model to harness the power of modern GPU devices. Implement device, command buffer and queues to get connected with the physical hardware. Explore various validation layers and learn how to use it for debugging Vulkan application. Get a grip on memory management to control host and device memory operations. Understand and implement buffer and image resource types in Vulkan. Define drawing operations in the Render pass and implement graphics pipeline. Manage GLSL shader using SPIR-V and update the shader resources with descriptor sets and push constants. Learn the drawing process, manage resources with synchronization objects and render 3D scene output on screen with Swapchain. Bring realism to your rendered 3D scene with textures, and implement linear and optimal textures In Detail Vulkan, the next generation graphics and compute API, is the latest offering by Khronos. This API is the successor of OpenGL and unlike OpenGL, it offers great flexibility and high performance capabilities to control modern GPU devices. With this book, you'll get great insights into the workings of Vulkan and how you can make stunning graphics run with minimum hardware requirements. We begin with a brief introduction to the Vulkan system and show you its distinct features with the successor to the OpenGL API. First, you will see how to establish a connection with hardware devices to query the available queues, memory types, and capabilities offered. Vulkan is verbose, so before diving deep into programing, you'll get to grips with debugging techniques so even first-timers can overcome error traps using Vulkan's layer and extension features. You'll get a grip on command buffers and acquire the knowledge to record various operation commands into command buffer and submit it to a proper queue for GPU processing. We'll take a detailed look at memory management and demonstrate the use of buffer and image resources to create drawing textures and image views for the presentation engine and vertex buffers to store geometry information. You'll get a brief overview of SPIR-V, the new way to manage shaders, and you'll define the drawing operations as a single unit of work in the Render pass with the help of attachments and subpasses. You'll also create frame buffers and build a solid graphics pipeline, as well as making use of the synchronizing mechanism to manage GPU and CPU hand-shaking. By the end, you'll know everything you need to know to get your hands dirty with the coolest Graphics API on the block. Style and approach This book takes a practical approach to guide you through the Vulkan API, and you will get to build an application throughout the course of the book. Since you are expected to be familiar with C/C++, there is not much hand-holding throughout the course of the book.

High Performance Python

High Performance Python
Author: Micha Gorelick
Publisher: "O'Reilly Media, Inc."
Total Pages: 370
Release: 2014-08-22
Genre: Computers
ISBN: 1449361773

"If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to learn Python for highly computational tasks. Because of it, fields from physics to biology and systems infrastructure to data science are hitting barriers. They need the fast prototyping nature of Python, but too few people know how to wield it"--Publisher's description