HP C Programmer's Guide
Author | : |
Publisher | : |
Total Pages | : 146 |
Release | : 1988 |
Genre | : C (Computer program language) |
ISBN | : |
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Author | : |
Publisher | : |
Total Pages | : 146 |
Release | : 1988 |
Genre | : C (Computer program language) |
ISBN | : |
Author | : Joe Campbell |
Publisher | : Prentice Hall |
Total Pages | : 680 |
Release | : 1987 |
Genre | : Computers |
ISBN | : |
Communications will play a central role in the computer applications of the next decade. The core of these applications is asynchronous serial communication. This book includes both theoretical and practical discussions of this topic, allowing programmers and technically advanced users to build their own C programming library of functions for serial communications.
Author | : Peter Van der Linden |
Publisher | : Prentice Hall Professional |
Total Pages | : 379 |
Release | : 1994 |
Genre | : Computers |
ISBN | : 0131774298 |
Software -- Programming Languages.
Author | : John Cheng |
Publisher | : John Wiley & Sons |
Total Pages | : 528 |
Release | : 2014-09-09 |
Genre | : Computers |
ISBN | : 1118739329 |
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 workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming Model GPU Execution Model GPU Memory model Streams, Event and Concurrency Multi-GPU Programming CUDA Domain-Specific Libraries Profiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
Author | : |
Publisher | : |
Total Pages | : 404 |
Release | : 1991 |
Genre | : FORTRAN (Computer program language) |
ISBN | : |
Author | : Steve Scargall |
Publisher | : Apress |
Total Pages | : 387 |
Release | : 2020-01-09 |
Genre | : Computers |
ISBN | : 1484249321 |
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.
Author | : Donald Lewine |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 654 |
Release | : 1991-04 |
Genre | : Computers |
ISBN | : 9780937175736 |
Software -- Operating Systems.
Author | : Brian Sawert |
Publisher | : Addison-Wesley Professional |
Total Pages | : 324 |
Release | : 1998 |
Genre | : Computers |
ISBN | : |
Brian Sawert teaches the fundamentals of programming SCSI (Small Computer Systems Interface) devices. He relates the design philosophy behind the SCSI standard, including its evolution and variations. This book focuses on software development and addresses fundamental SCSI concepts such as how SCSI devices communicate, how commands are executed, how data is transferred, and the roles played by the initiator and the target.
Author | : James S. Evans |
Publisher | : Prentice Hall Professional |
Total Pages | : 582 |
Release | : 2003 |
Genre | : Computers |
ISBN | : 9780131013728 |
Step-by-step guide to assembly language for the 64-bit Itanium processors, with extensive examples Details of Explicitly Parallel Instruction Computing (EPIC): Instruction set, addressing, register stack engine, predication, I/O, procedure calls, floating-point operations, and more Learn how to comprehend and optimize open source, Intel, and HP-UX compiler output Understand the full power of 64-bit Itanium EPIC processors Itanium(R) Architecture for Programmers is a comprehensive introduction to the breakthrough capabilities of the new 64-bit Itanium architecture. Using standard command-line tools and extensive examples, the authors illuminate the Itanium design within the broader context of contemporary computer architecture via a step-by-step investigation of Itanium assembly language. Coverage includes: The potential of Explicitly Parallel Instruction Computing (EPIC) Itanium instruction formats and addressing modes Innovations such as the register stack engine (RSE) and extensive predication Procedure calls and procedure-calling mechanisms Floating-point operations I/O techniques, from simple debugging to the use of files Optimization of output from open source, Intel, and HP-UX compilers An essential resource for both computing professionals and students of architecture or assembly language, Itanium Architecture for Programmers includes extensive printed and Web-based references, plus many numeric, essay, and programming exercises for each chapter.