Download or read book Code Optimization written by Kris Kaspersky and published by A-List Publishing. This book was released on 2003 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to optimizing programs on the PC and Unix platforms, this book covers the expediency of optimization and the methods to increase the speed of programs via optimization. Discussed are typical mistakes made by programmers that lessen the performance of the system along with easily implemented solutions. Detailed descriptions of the devices and mechanism of interaction of the computer components, effective ways of programming, and a technique for optimizing programs are provided. Programmers will also learn how to effectively implement programming methods in a high-level language that is usually done in assembler with particular attention given to the RAM subsystem. The working principles of the RAM and the way in which it is coupled with the processor as well as a description of programming methods that allows programmers to overclock the memory to reach maximum performance are included.

Download or read book Efficient Memory Programming written by David Loshin and published by McGraw-Hill Companies. This book was released on 1999 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Performance Optimization of Numerically Intensive Codes written by Stefan Goedecker and published by SIAM. This book was released on 2001-01-01 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance Optimization of Numerically Intensive Codes offers a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of all the essential ingredients for achieving high performance in numerical computations on modern computers. The authors explain computer architectures, data traffic and issues related to performance of serial and parallel code optimization exemplified by actual programs written for algorithms of wide interest. The unique hands-on style is achieved by extensive case studies using realistic computational problems. The performance gain obtained by applying the techniques described in this book can be very significant. The book bridges the gap between the literature in system architecture, the one in numerical methods and the occasional descriptions of optimization topics in computer vendors' literature. It also allows readers to better judge the suitability of certain computer architecture to their computational requirements. In contrast to standard textbooks on computer architecture and on programming techniques the book treats these topics together at the level necessary for writing high-performance programs. The book facilitates easy access to these topics for computational scientists and engineers mainly interested in practical issues related to efficient code development.

Download or read book Code Optimization written by Kris Kaspersky and published by A-List Publishing. This book was released on 2003 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to optimizing programs on the PC and Unix platforms, this book covers the expediency of optimization and the methods to increase the speed of programs via optimization. Discussed are typical mistakes made by programmers that lessen the performance of the system along with easily implemented solutions. Detailed descriptions of the devices and mechanism of interaction of the computer components, effective ways of programming, and a technique for optimizing programs are provided. Programmers will also learn how to effectively implement programming methods in a high-level language that is usually done in assembler with particular attention given to the RAM subsystem. The working principles of the RAM and the way in which it is coupled with the processor as well as a description of programming methods that allows programmers to overclock the memory to reach maximum performance are included.

Download or read book Pro NET Memory Management written by Konrad Kokosa and published by Apress. This book was released on 2018-11-12 with total page 1091 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand .NET memory management internal workings, pitfalls, and techniques in order to effectively avoid a wide range of performance and scalability problems in your software. Despite automatic memory management in .NET, there are many advantages to be found in understanding how .NET memory works and how you can best write software that interacts with it efficiently and effectively. Pro .NET Memory Management is your comprehensive guide to writing better software by understanding and working with memory management in .NET. Thoroughly vetted by the .NET Team at Microsoft, this book contains 25 valuable troubleshooting scenarios designed to help diagnose challenging memory problems. Readers will also benefit from a multitude of .NET memory management “rules” to live by that introduce methods for writing memory-aware code and the means for avoiding common, destructive pitfalls. What You'll LearnUnderstand the theoretical underpinnings of automatic memory management Take a deep dive into every aspect of .NET memory management, including detailed coverage of garbage collection (GC) implementation, that would otherwise take years of experience to acquire Get practical advice on how this knowledge can be applied in real-world software development Use practical knowledge of tools related to .NET memory management to diagnose various memory-related issuesExplore various aspects of advanced memory management, including use of Span and Memory types Who This Book Is For .NET developers, solution architects, and performance engineers

Download or read book Advanced R written by Hadley Wickham and published by CRC Press. This book was released on 2015-09-15 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Download or read book Michael Abrash s Graphics Programming Black Book written by Michael Abrash and published by Coriolis Group Books. This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book High Performance Python written by Micha Gorelick and published by O'Reilly Media. This book was released on 2020-04-30 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python’s implementation. How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters Deploy code faster using tools like Docker

Download or read book Writing High Performance NET Code 2nd Edition written by Ben Watson and published by Ben Watson. This book was released on 2018-04-16 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take performance to the next level!

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.

This second edition incorporates the advances and improvements in .NET over the last few years, as well as greatly expanded coverage of tools, more topics, more tutorials, more tips, and improvements throughout the entire book.

New in the 2nd Edition:

• 50% increase in content!
• New examples, code samples, and diagrams throughout entire book
• More ways to analyze the heap and find memory problems
• More tool coverage, including expanded usage of Visual Studio
• More benchmarking
• New GC configuration options
• Code warmup techniques
• New .NET features such as ref-returns, value tuples, SIMD, and more
• More detailed analysis of LINQ
• Tips for high-level feature areas such as ASP.NET, ADO.NET, and WPF

Also find expanded coverage and discover new tips and tricks for:

• Profiling with multiple tools to quickly find problem areas
• Detailed description of the garbage collector, how to optimize your code for it, and how to diagnose difficult memory-related issues
• How to analyze JIT and diagnose warmup problems
• Effective use of the Task Parallel Library to maximize throughput
• Which .NET features and APIs to use and which to avoid
• Instrument your program with performance counters and ETW events
• Use the latest and greatest .NET features
• Build a performance-minded team
• ...and so much more

Download or read book Effective NET Memory Management written by Trevoir Williams and published by Packt Publishing Ltd. This book was released on 2024-07-30 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master optimal memory management techniques in .NET Core, from understanding memory allocation to implementing advanced garbage collection strategies Key Features Discover tools and strategies to build efficient, scalable applications Implement .NET memory management techniques to effectively boost your application’s performance Uncover practical methods for troubleshooting memory leaks and diagnosing performance bottlenecks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today’s software development landscape, efficient memory management is crucial for ensuring application performance and scalability. Effective .NET Memory Management addresses this need by explaining the intricacies of memory utilization within .NET Core apps, from fundamental concepts to advanced optimization techniques. Starting with an overview of memory management basics, you’ll quickly go through .NET’s garbage collection system. You’ll grasp the mechanics of memory allocation and gain insights into the distinctions between stack and heap memory and the nuances of value types and reference types. Building on this foundation, this book will help you apply practical strategies to address real-world app demands, spanning profiling memory usage, spotting memory leaks, and diagnosing performance bottlenecks, through clear explanations and hands-on examples. This book goes beyond theory, detailing actionable techniques to optimize data structures, minimize memory fragmentation, and streamline memory access in scenarios involving multithreading and asynchronous programming for creating responsive and resource-efficient apps that can scale without sacrificing performance. By the end of this book, you’ll have gained the knowledge to write clean, efficient code that maximizes memory usage and boosts app performance.What you will learn Master memory allocation techniques to minimize resource wastage Differentiate between stack and heap memory, and use them efficiently Implement best practices for object lifetimes and garbage collection Understand .NET Core's memory management principles for optimal performance Identify and fix memory leaks to maintain application reliability Optimize memory usage in multithreaded and asynchronous applications Utilize memory profiling tools to pinpoint and resolve memory bottlenecks Apply advanced memory management techniques to enhance app scalability Who this book is for This book is for developers and professionals who are beyond the beginner stage and seek in-depth knowledge of memory management techniques within the context of .NET Core. Whether you are an experienced developer aiming to enhance application performance or an architect striving for optimal resource utilization, this book serves as a comprehensive guide to mastering memory management intricacies. To fully benefit from this book, you should have a solid understanding of C# programming and familiarity with the basics of .NET Core development.

Download or read book Algorithms and Data Structures with Python written by Cuantum Technologies LLC and published by Packt Publishing Ltd. This book was released on 2024-06-12 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code. Key Features Comprehensive introduction to Python programming and algorithms Detailed exploration of data structures and sorting/searching techniques Advanced topics including graph algorithms and computational problem-solving Book DescriptionBegin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence.What you will learn Master sorting and searching algorithms Implement hierarchical data structures like trees and graphs Apply advanced algorithmic techniques to solve complex problems Optimize code for efficiency and performance Understand and implement advanced graph algorithms Translate theoretical concepts into practical, real-world solutions Who this book is for This course is designed for a diverse group of learners, including technical professionals, software developers, computer science students, and data enthusiasts. It caters to individuals who have a basic understanding of programming and are eager to deepen their knowledge of Python and algorithms. Whether you're a recent graduate, or an experienced developer looking to expand your skill set, this course is tailored to meet the needs of all types of audiences. Ideal for those aiming to strengthen their algorithmic thinking and improve their coding efficiency.

Download or read book Optimized C written by Kurt Guntheroth and published by "O'Reilly Media, Inc.". This book was released on 2016-04-27 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book C High Performance written by Bjorn Andrist and published by Packt Publishing Ltd. This book was released on 2020-12-30 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Techniques for Optimizing Applications written by Rajat P. Garg and published by Prentice Hall PTR. This book was released on 2002 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Techniques.

Download or read book Optimizing Java written by Benjamin J Evans and published by "O'Reilly Media, Inc.". This book was released on 2018-04-17 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done. Yet that’s often the case. With this practical book, intermediate to advanced Java technologists working with complex technology stacks will learn how to tune Java applications for performance using a quantitative, verifiable approach. Most resources on performance tend to discuss the theory and internals of Java virtual machines, but this book focuses on the practicalities of performance tuning by examining a wide range of aspects. There are no simple recipes, tips and tricks, or algorithms to learn. Performance tuning is a process of defining and determining desired outcomes. And it requires diligence. Learn how Java principles and technology make the best use of modern hardware and operating systems Explore several performance tests and common anti-patterns that can vex your team Understand the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking Dive into JVM garbage collection logging, monitoring, tuning, and tools Explore JIT compilation and Java language performance techniques Learn performance aspects of the Java Collections API and get an overview of Java concurrency

Download or read book Pro NET Performance written by Sasha Goldshtein and published by Apress. This book was released on 2012-10-22 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Maximizing the performance of your algorithms and applications is extremely important and can give you a competitive advantage, a lower cost of ownership, and happier users. Pro .NET Performance explains the internals of Windows, the CLR, and the physical hardware that affect the performance of your applications, and gives you the knowledge and tools to measure how your code performs in isolation from external factors. The book is full of C# code samples and tips to help you squeeze every bit of juice from your application—lower memory utilization, consistent CPU usage, and fewer I/O operations across the network and disk. Pro .NET Performance will change the way you think about .NET application development. Guides you through performance measurement with a variety of profilers and other tools Explains how OS and CLR internals affect your application’s performance in unexpected ways Provides you with tips and real-life case studies for improving application performance

Download or read book Efficient R Programming written by Colin Gillespie and published by "O'Reilly Media, Inc.". This book was released on 2016-12-08 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of backgrounds stand to benefit from the guidance in Efficient R Programming. Get advice for setting up an R programming environment Explore general programming concepts and R coding techniques Understand the ingredients of an efficient R workflow Learn how to efficiently read and write data in R Dive into data carpentry—the vital skill for cleaning raw data Optimize your code with profiling, standard tricks, and other methods Determine your hardware capabilities for handling R computation Maximize the benefits of collaborative R programming Accelerate your transition from R hacker to R programmer