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11-20 of 95 results in All results

Agent-based Spatial Simulation with NetLogo, Volume 2

  • 1st Edition
  • November 22, 2016
  • Arnaud Banos + 2 more
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 1 5 7 - 4
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 1 0 6 4 - 8
Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities. The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented. This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.  

Parallel Programming with OpenACC

  • 1st Edition
  • October 14, 2016
  • Rob Farber
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 0 3 9 7 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 0 4 5 9 - 4
Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel® Xeon Phi™ as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs.

Coding for Penetration Testers

  • 2nd Edition
  • September 3, 2016
  • Jason Andress + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 5 4 7 2 - 7
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 5 4 7 3 - 4
Coding for Penetration Testers: Building Better Tools, Second Edition provides readers with an understanding of the scripting languages that are commonly used when developing tools for penetration testing, also guiding users through specific examples of custom tool development and the situations where such tools might be used. While developing a better understanding of each language, the book presents real-world scenarios and tool development that can be incorporated into a tester's toolkit. This completely updated edition focuses on an expanded discussion on the use of Powershell, and includes practical updates to all tools and coverage.

Matlab

  • 4th Edition
  • July 23, 2016
  • Dorothy C. Attaway
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 4 5 4 1 - 1
MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, winner of a 2017 Textbook Excellence Award (Texty), has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end-of-chapter exercises, more engineering applications to help the reader learn this software tool in context, and a new section on object-oriented programming in MATLAB. MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications.

Matrix Algorithms in MATLAB

  • 1st Edition
  • March 29, 2016
  • Ong U. Routh
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 3 8 0 4 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 3 8 6 9 - 7
Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity. The book provides an overview and classification of the interrelations of various algorithms, as well as numerous examples to demonstrate code usage and the properties of the presented algorithms. Despite the wide availability of computer programs for matrix computations, it continues to be an active area of research and development. New applications, new algorithms, and improvements to old algorithms are constantly emerging.

Programming Language Pragmatics

  • 4th Edition
  • November 30, 2015
  • Michael Scott
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 0 4 0 9 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 0 4 7 7 - 8
Programming Language Pragmatics, Fourth Edition, is the most comprehensive programming language textbook available today. It is distinguished and acclaimed for its integrated treatment of language design and implementation, with an emphasis on the fundamental tradeoffs that continue to drive software development.The book provides readers with a solid foundation in the syntax, semantics, and pragmatics of the full range of programming languages, from traditional languages like C to the latest in functional, scripting, and object-oriented programming.  This fourth edition has been heavily revised throughout, with expanded coverage of type systems and functional programming, a unified treatment of polymorphism, highlights of the newest language standards, and examples featuring the ARM and x86 64-bit architectures.

Agent-Based Spatial Simulation with NetLogo Volume 1

  • 1st Edition
  • August 19, 2015
  • Arnaud Banos + 2 more
  • English
  • Hardback
    9 7 8 - 1 - 7 8 5 4 8 - 0 5 5 - 3
  • eBook
    9 7 8 - 0 - 0 8 - 1 0 0 7 2 3 - 5
Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation. Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy.

Python Passive Network Mapping

  • 1st Edition
  • June 10, 2015
  • Chet Hosmer
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 2 7 2 1 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 2 7 4 2 - 4
Python Passive Network Mapping: P2NMAP is the first book to reveal a revolutionary and open source method for exposing nefarious network activity. The "Heartbleed" vulnerability has revealed significant weaknesses within enterprise environments related to the lack of a definitive mapping of network assets. In Python Passive Network Mapping, Chet Hosmer shows you how to effectively and definitively passively map networks. Active or probing methods to network mapping have traditionally been used, but they have many drawbacks - they can disrupt operations, crash systems, and - most importantly - miss critical nefarious activity. You require an accurate picture of the environments you protect and operate in order to rapidly investigate, mitigate, and then recover from these new attack vectors. This book gives you a deep understanding of new innovations to passive network mapping, while delivering open source Python-based tools that can be put into practice immediately. Python Passive Network Mapping is for practitioners, forensic investigators, IT teams, and individuals who work together when performing incident response and investigating potential damage, or are examining the impacts of new malware threats. Those defending critical infrastructures will have a special interest in this book, as active or probing methods of network mapping are rarely used within these environments as any resulting impacts can be disastrous. Python Passive Network Mapping is ideally suited for use as a text in a variety of academic programs to expose and engage students in the art of passively mapping enterprise networks, with the added benefit of providing exposure to open source Python solutions.

Heterogeneous Computing with OpenCL 2.0

  • 1st Edition
  • May 18, 2015
  • David R. Kaeli + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 1 4 1 4 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 1 6 4 9 - 7
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL  Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms.

Multicore and GPU Programming

  • 1st Edition
  • December 16, 2014
  • Gerassimos Barlas
  • English
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 7 1 4 0 - 4
Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines.