the garbage collection handbook the art of automatic memory management chapman hall crc applied algorithms and data structures series

Download Book The Garbage Collection Handbook The Art Of Automatic Memory Management Chapman Hall Crc Applied Algorithms And Data Structures Series in PDF format. You can Read Online The Garbage Collection Handbook The Art Of Automatic Memory Management Chapman Hall Crc Applied Algorithms And Data Structures Series here in PDF, EPUB, Mobi or Docx formats.

The Garbage Collection Handbook

Author : Richard Jones
ISBN : 9781315388014
Genre : Computers
File Size : 54. 16 MB
Format : PDF, ePub, Docs
Download : 260
Read : 211

Download Now


Published in 1996, Richard Jones’s Garbage Collection was a milestone in the area of automatic memory management. The field has grown considerably since then, sparking a need for an updated look at the latest state-of-the-art developments. The Garbage Collection Handbook: The Art of Automatic Memory Management brings together a wealth of knowledge gathered by automatic memory management researchers and developers over the past fifty years. The authors compare the most important approaches and state-of-the-art techniques in a single, accessible framework. The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors. Along with simple and traditional algorithms, the book covers parallel, incremental, concurrent, and real-time garbage collection. Algorithms and concepts are often described with pseudocode and illustrations. The nearly universal adoption of garbage collection by modern programming languages makes a thorough understanding of this topic essential for any programmer. This authoritative handbook gives expert insight on how different collectors work as well as the various issues currently facing garbage collectors. Armed with this knowledge, programmers can confidently select and configure the many choices of garbage collectors. Web Resource The book’s online bibliographic database at www.gchandbook.org includes over 2,500 garbage collection-related publications. Continually updated, it contains abstracts for some entries and URLs or DOIs for most of the electronically available ones. The database can be searched online or downloaded as BibTeX, PostScript, or PDF. E-book This edition enhances the print version with copious clickable links to algorithms, figures, original papers and definitions of technical terms. In addition, each index entry links back to where it was mentioned in the text, and each entry in the bibliography includes links back to where it was cited.

A Guide To Algorithm Design

Author : Anne Benoit
ISBN : 9781439898130
Genre : Computers
File Size : 47. 20 MB
Format : PDF, Docs
Download : 486
Read : 737

Download Now


Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems. Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem. Part I helps readers understand the main design principles and design efficient algorithms. Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness. Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard. Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.

Analyzing Time Interval Data

Author : Philipp Meisen
ISBN : 9783658157289
Genre : Computers
File Size : 46. 92 MB
Format : PDF, Kindle
Download : 485
Read : 996

Download Now


Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced tools are combined to design and realize an information system. The presented system is capable of performing analytical tasks (avoiding any type of summarizability problems), providing insights, and visualizing results processing millions of intervals within milliseconds using an intuitive SQL-based query language. The heart of the solution is based on several bitmap-based indexes, which enable the system to handle huge amounts of time interval data.

Garbage Collection

Author : Richard Jones
ISBN : 0471941484
Genre : Technology & Engineering
File Size : 53. 63 MB
Format : PDF, Mobi
Download : 400
Read : 1266

Download Now


Eliminating unwanted or invalid information from a computer's memory can dramatically improve the speed and officiency of the program. this reference presents full descriptions of the most important algorithms used for this eliminatino, called garbage collection. Each algorith is explained in detail with examples illustrating different results.

Virtual Machines

Author : James Edward Smith
ISBN : 9781558609105
Genre : Computers
File Size : 63. 50 MB
Format : PDF, ePub
Download : 353
Read : 611

Download Now


In this text, Smith and Nair take a new approach by examining virtual machines as a unified discipline and pulling together cross-cutting technologies. Topics include instruction set emulation, dynamic program translation and optimization, high level virtual machines (including Java and CLI), and system virtual machines for both single-user systems and servers.

X86 Assembly Language And C Fundamentals

Author : Joseph Cavanagh
ISBN : 9781498759748
Genre : Computers
File Size : 37. 34 MB
Format : PDF
Download : 791
Read : 1305

Download Now


The predominant language used in embedded microprocessors, assembly language lets you write programs that are typically faster and more compact than programs written in a high-level language and provide greater control over the program applications. Focusing on the languages used in X86 microprocessors, X86 Assembly Language and C Fundamentals explains how to write programs in the X86 assembly language, the C programming language, and X86 assembly language modules embedded in a C program. A wealth of program design examples, including the complete code and outputs, help you grasp the concepts more easily. Where needed, the book also details the theory behind the design. Learn the X86 Microprocessor Architecture and Commonly Used Instructions Assembly language programming requires knowledge of number representations, as well as the architecture of the computer on which the language is being used. After covering the binary, octal, decimal, and hexadecimal number systems, the book presents the general architecture of the X86 microprocessor, individual addressing modes, stack operations, procedures, arrays, macros, and input/output operations. It highlights the most commonly used X86 assembly language instructions, including data transfer, branching and looping, logic, shift and rotate, and string instructions, as well as fixed-point, binary-coded decimal (BCD), and floating-point arithmetic instructions. Get a Solid Foundation in a Language Commonly Used in Digital Hardware Written for students in computer science and electrical, computer, and software engineering, the book assumes a basic background in C programming, digital logic design, and computer architecture. Designed as a tutorial, this comprehensive and self-contained text offers a solid foundation in assembly language for anyone working with the design of digital hardware.

Mathematical And Algorithmic Foundations Of The Internet

Author : Fabrizio Luccio
ISBN : 9781439831380
Genre : Computers
File Size : 27. 26 MB
Format : PDF, ePub, Mobi
Download : 553
Read : 1232

Download Now


To truly understand how the Internet and Web are organized and function requires knowledge of mathematics and computation theory. Mathematical and Algorithmic Foundations of the Internet introduces the concepts and methods upon which computer networks rely and explores their applications to the Internet and Web. The book offers a unique approach to mathematical and algorithmic concepts, demonstrating their universality by presenting ideas and examples from various fields, including literature, history, and art. Progressing from fundamental concepts to more specific topics and applications, the text covers computational complexity and randomness, networks and graphs, parallel and distributed computing, and search engines. While the mathematical treatment is rigorous, it is presented at a level that can be grasped by readers with an elementary mathematical background. The authors also present a lighter side to this complex subject by illustrating how many of the mathematical concepts have counterparts in everyday life. The book provides in-depth coverage of the mathematical prerequisites and assembles a complete presentation of how computer networks function. It is a useful resource for anyone interested in the inner functioning, design, and organization of the Internet.

Data Flow Analysis

Author : Uday Khedker
ISBN : 9781351838238
Genre : Computers
File Size : 71. 98 MB
Format : PDF, Kindle
Download : 582
Read : 261

Download Now


Data flow analysis is used to discover information for a wide variety of useful applications, ranging from compiler optimizations to software engineering and verification. Modern compilers apply it to produce performance-maximizing code, and software engineers use it to re-engineer or reverse engineer programs and verify the integrity of their programs. Supplementary Online Materials to Strengthen Understanding Unlike most comparable books, many of which are limited to bit vector frameworks and classical constant propagation, Data Flow Analysis: Theory and Practice offers comprehensive coverage of both classical and contemporary data flow analysis. It prepares foundations useful for both researchers and students in the field by standardizing and unifying various existing research, concepts, and notations. It also presents mathematical foundations of data flow analysis and includes study of data flow analysis implantation through use of the GNU Compiler Collection (GCC). Divided into three parts, this unique text combines discussions of inter- and intraprocedural analysis and then describes implementation of a generic data flow analyzer (gdfa) for bit vector frameworks in GCC. Through the inclusion of case studies and examples to reinforce material, this text equips readers with a combination of mutually supportive theory and practice, and they will be able to access the author’s accompanying Web page. Here they can experiment with the analyses described in the book, and can make use of updated features, including: Slides used in the authors’ courses The source of the generic data flow analyzer (gdfa) An errata that features errors as they are discovered Additional updated relevant material discovered in the course of research

Virtual Machine Design And Implementation In C C

Author : Bill Blunden
ISBN : 1556229038
Genre : Computers
File Size : 36. 79 MB
Format : PDF, ePub
Download : 317
Read : 362

Download Now


This is an in-depth look at the construction and underlying theory of a fullyfunctional virtual machine and an entire suite of related development tools.

The Practical Handbook Of Genetic Algorithms

Author : Lance D. Chambers
ISBN : 1420050079
Genre : Mathematics
File Size : 39. 85 MB
Format : PDF, ePub
Download : 841
Read : 700

Download Now


The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.

Top Download:

Best Books