Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness.SummaryComplex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and incr...

Hacking is the art of creative problem solving, whether that means finding an unconventional solution to a difficult problem or exploiting holes in sloppy programming. Many people call themselves hackers, but few have the strong technical foundation needed to really push the envelope.Rather than merely showing how to run existing exploits, author Jon Erickson explains how arcane hacking techniques actually work. To share the art and science of hacking in a way that is accessible to...

Essential Information about Algorithms and Data StructuresA Classic ReferenceThe latest version of Sedgewick’s best-selling series, reflecting an indispensable body of knowledge developed over the past several decades.Broad CoverageFull treatment of data structures and algorithms for sorting, searching, graph processing, and string processing, including fifty algorithms every programmer should know. See algs4.cs.p...

“As an author, editor, and publisher, I never paid much attention to the competition—except in a few cases. This is one of those cases. The UNIX System Administration Handbook is one of the few books we ever measured ourselves against.”—Tim O’Reilly, founder of O’Reilly Media“This edition is for those whose systems live in the cloud or in virtualized data centers; those whose administrative work largely takes the form of automation and con...

Computer Programming In C Language : Computer Programming In C Language teaches the generic Programming techniques using C programming language in an easy-to-follow style, without assuming previous experience in any other language. A variety of examples make learning these Concepts with C both fun and practical. This book is organized in such a manner that students and programmers with prior knowledge of Programming can find it easy, crisp and readable. Each Chapter contains many example p...

Systems Performance, Second Edition, covers concepts, strategy, tools, and tuning for operating systems and applications, using Linux-based operating systems as the primary example. A deep understanding of these tools and techniques is critical for developers today. Implementing the strategies described in this thoroughly revised and updated edition can lead to a better end-user experience and lower costs, especially for cloud computing environments that charge by...

This book is an in-depth introduction to Erlang, a programming language ideal for any situation where concurrency, fault tolerance, and fast response is essential. Erlang is gaining widespread adoption with the advent of multi-core processors and their new scalable approach to concurrency. With this guide you'll learn how to write complex concurrent programs in Erlang, regardless of your programming background or experience.Written by leaders of the international Erlang community -...

XML, the Extensible Markup Language, is everywhere: the syntax of choice for newly designed document formats across almost all computer applications. Now used daily by developers, XML is living up to its reputation as one of the most important developments in document interchange in the history of computing.A perennial bestseller, the handy XML Pocket Reference from O'Reilly has been revised once again to give you quick access to the latest goods. In addition to its compre...

An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressivel...

The Complete Guide to Optimizing Systems PerformanceWritten by the winner of the 2013 LISA Award for Outstanding Achievement in System AdministrationLarge-scale enterprise, cloud, and virtualized computing systems have introduced serious performance challenges. Now, internationally renowned performance expert Brendan Gregg has brought together proven methodologies, tools, and metrics for analyzing and tuning even the most complex environmen...

If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from ser...

Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed ...