Building Scalable Systems With C Optimizing Performance And Portability
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Building Scalable Systems with C: Optimizing Performance and Portability
"Building Scalable Systems with C: Optimizing Performance and Portability" is an indispensable guide for software engineers and developers dedicated to crafting systems that meet the demands of today’s performance-intensive environments. Despite the rise of high-level programming languages, C remains a cornerstone in system development due to its unmatched performance and precise control over hardware resources. This book provides a comprehensive framework for harnessing C's capabilities to build scalable and efficient applications, making it a must-have resource in your technical library. Delve into advanced programming techniques and explore crucial topics such as efficient memory management, algorithm optimization, and parallel processing. The text progresses through essential themes including portability across platforms, robust error handling, and leveraging advanced compiler techniques for superior performance. Our insightful case studies and real-world applications offer practical examples, illustrating the transformative impact of these techniques when implemented in real scenarios across various domains. Whether you are optimizing legacy systems or venturing into high-performance computing, this book equips you with the deep understanding and advanced skills required to overcome complex challenges. It guides you through best practices, modern tools, and strategies imperative for developing reliable, top-tier software solutions. Elevate your programming acumen and ensure your systems not only endure but excel in an ever-evolving technological landscape.
Optimized Computing in C++: Mastering Concurrency, Multithreading, and Parallel Programming
Discover the future of high-performance computing with "Optimized Computing in C++: Mastering Concurrency, Multithreading, and Parallel Programming," a comprehensive guide designed to elevate your C++ programming skills to unparalleled heights. Whether you're an intermediate programmer eager to broaden your understanding or an experienced developer aiming to optimize your applications, this book is an invaluable resource for maximizing efficiency and speed using C++. Delve into the fundamental principles of high-performance computing (HPC) and grasp the pivotal role of C++ in building scalable, robust applications. Master the intricacies of concurrency, threading, and parallel programming through well-organized chapters, rich with code snippets, practical examples, and real-world case studies. Covering essential topics from basic thread management to advanced GPU programming and MPI for distributed computing, this book spans the full spectrum of HPC in C++. Leverage modern C++ standards and the latest features to simplify concurrent programming, ensuring your applications remain fast and future-proof. Confront real-world challenges head-on with confidence as you learn to debug and profile concurrent and parallel C++ programs, optimizing them for both performance and reliability. "Optimized Computing in C++: Mastering Concurrency, Multithreading, and Parallel Programming" is an indispensable guide for programmers, researchers, and engineers, offering the tools and knowledge needed to push the boundaries of computational performance. Harness the power of C++ and revolutionize your approach to high-performance applications.
Big Data Benchmarks, Performance Optimization, and Emerging Hardware
This book constitutes the thoroughly revised selected papers of the 6th workshop on Big Data Benchmarks, Performance Optimization, and Emerging Hardware, BPOE 2015, held in Kohala Coast, HI, USA, in August/September 2015 as satellite event of VLDB 2015, the 41st International Conference on Very Large Data Bases. The 8 papers presented were carefully reviewed and selected from 10 submissions. The workshop focuses on architecture and system support for big data systems, aiming at bringing researchers and practitioners from data management, architecture, and systems research communities together to discuss the research issues at the intersection of these areas. This book also invites three papers from several industrial partners, including two papers describing tools used in system benchmarking and monitoring and one paper discussing principles and methodologies in existing big data benchmarks.