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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.
This book is a comprehensive guide meticulously crafted aiming to demystify the intricate world of data structures using the C programming language. While data structures may not be the most glamorous topic in the world of technology, they are the backbone of many cutting-edge technologies, including artificial intelligence (AI), blockchain, and NoSQL databases. These technologies rely heavily on data structures to efficiently store, organize, and manipulate large volumes of data. The choice of the C programming language as the medium of exploration in this book is deliberate. C, with its elegant simplicity and raw efficiency, provides a canvas where data structures can be dissected, understood, and mastered in their purest form. As the lingua franca of programming, C facilitates an intimate interaction with memory management and low-level operations, essential aspects in comprehending the intricacies of data structures. This book will take you on a comprehensive journey through the spectrum of data structures. From the foundational arrays and linked lists to the more advanced techniques used in trees, graphs, and hash tables, each chapter delves into a specific data structure, unraveling its implementation details, operational intricacies, and real-world applications. With a problem-solving approach at its core, this book challenges readers with hands-on exercises, encouraging them to synthesize knowledge and apply it to practical scenarios.
This highly relevant and up-to-the-minute book constitutes the refereed proceedings of the Third International Conference on High Performance Embedded Architectures and Compilers, HiPEAC 2008, held in Göteborg, Sweden, January 27-29, 2008. The 25 revised full papers presented together with 1 invited keynote paper were carefully reviewed and selected from 77 submissions. The papers are organized into topical sections on a number of key subjects in the field.
This book constitutes the refereed proceedings of the 23nd Annual IFIP WG 11.3 Working Conference on Data and Applications Security held in Montreal, Canada, in July 2009. The 18 revised full papers and 4 short papers were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on database security; security policies; privacy; intrusion detection and protocols; and trusted computing.
This book constitutes the refereed proceedings of the 25th IFIP WG 6.1 International Conference on Testing Software and Systems, ICTSS 2013, held in Istanbul, Turkey, in November 2013. The 17 revised full papers presented together with 3 short papers were carefully selected from 68 submissions. The papers are organized in topical sections on model-based testing, testing timed and concurrent systems, test suite selection and effort estimation, tools and languages, and debugging.
Revised for a new second edition, Intermediate C Programming provides a stepping-stone for intermediate-level students to go from writing short programs to writing real programs well. It shows students how to identify and eliminate bugs, write clean code, share code with others, and use standard Linux-based tools, such as ddd and valgrind. This second edition provides expanded coverage of these topics with new material focused on software engineering, including version control and unit testing. The text enhances their programming skills by explaining programming concepts and comparing common mistakes with correct programs. It also discusses how to use debuggers and the strategies for debugging as well as studies the connection between programming and discrete mathematics. Including additional student and instructor resources available online, this book is particularly appealing as a classroom resource.
This three-volume set LNCS 12452, 12453, and 12454 constitutes the proceedings of the 20th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2020, in New York City, NY, USA, in October 2020. The total of 142 full papers and 5 short papers included in this proceedings volumes was carefully reviewed and selected from 495 submissions. ICA3PP is covering the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated in every aspects of daily life, the power of computing system has become increasingly critical. This conference provides a forum for academics and practitioners from countries around the world to exchange ideas for improving the efficiency, performance, reliability, security and interoperability of computing systems and applications. ICA3PP 2020 focus on two broad areas of parallel and distributed computing, i.e. architectures, algorithms and networks, and systems and applications.
All of Programming provides a platform for instructors to design courses which properly place their focus on the core fundamentals of programming, or to let a motivated student learn these skills independently. A student who masters the material in this book will not just be a competent C programmer, but also a competent programmer. We teach students how to solve programming problems with a 7-step approach centered on thinking about how to develop an algorithm. We also teach students to deeply understand how the code works by teaching students how to execute the code by hand. This is Edition 1 (the second edition, as C programmers count from 0). It fixes a variety of formatting issues that arose from epub conversion, most notably practice exercises are now available in flowing text mode.