Author: Joseph Boykin
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 516
Book Description
The book provides the detailed information necessary to write practical programs under Mach. It shows applications writers and programmers how to create programs with multiple threads of control and make use of advanced interprocess communication mechanisms in a multi-processor environment. In addition the book illustrates, with complete example programs, how to fully exploit the functionality Mach provides. This book describes the differences between Mach and UNIX 4.3 BSD and OSF/1, two popular operating systems which share a common heritage with Mach.
Programming Under Mach
Author: Joseph Boykin
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 516
Book Description
The book provides the detailed information necessary to write practical programs under Mach. It shows applications writers and programmers how to create programs with multiple threads of control and make use of advanced interprocess communication mechanisms in a multi-processor environment. In addition the book illustrates, with complete example programs, how to fully exploit the functionality Mach provides. This book describes the differences between Mach and UNIX 4.3 BSD and OSF/1, two popular operating systems which share a common heritage with Mach.
Publisher: Addison-Wesley Professional
ISBN:
Category : Computers
Languages : en
Pages : 516
Book Description
The book provides the detailed information necessary to write practical programs under Mach. It shows applications writers and programmers how to create programs with multiple threads of control and make use of advanced interprocess communication mechanisms in a multi-processor environment. In addition the book illustrates, with complete example programs, how to fully exploit the functionality Mach provides. This book describes the differences between Mach and UNIX 4.3 BSD and OSF/1, two popular operating systems which share a common heritage with Mach.
Programming with POSIX Threads
Author: David R. Butenhof
Publisher: Addison-Wesley Professional
ISBN: 9780201633924
Category : Computers
Languages : en
Pages : 404
Book Description
Software -- Operating Systems.
Publisher: Addison-Wesley Professional
ISBN: 9780201633924
Category : Computers
Languages : en
Pages : 404
Book Description
Software -- Operating Systems.
AUUGN
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 106
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 106
Book Description
PThreads Programming
Author: Bradford Nichols
Publisher: "O'Reilly Media, Inc."
ISBN: 1565921151
Category : Computers
Languages : en
Pages : 289
Book Description
With threads programming, multiple tasks run concurrently within the same program. They can share a single CPU as processes do or take advantage of multiple CPUs when available. They provide a clean way to divide the tasks of a program while sharing data.
Publisher: "O'Reilly Media, Inc."
ISBN: 1565921151
Category : Computers
Languages : en
Pages : 289
Book Description
With threads programming, multiple tasks run concurrently within the same program. They can share a single CPU as processes do or take advantage of multiple CPUs when available. They provide a clean way to divide the tasks of a program while sharing data.
Programming the Commodore 64
Author: Raeto Collin West
Publisher: Compute Publications International
ISBN:
Category : Computers
Languages : en
Pages : 644
Book Description
Publisher: Compute Publications International
ISBN:
Category : Computers
Languages : en
Pages : 644
Book Description
The Mac Hacker's Handbook
Author: Charlie Miller
Publisher: John Wiley & Sons
ISBN: 1118080335
Category : Computers
Languages : en
Pages : 386
Book Description
As more and more vulnerabilities are found in the Mac OS X (Leopard) operating system, security researchers are realizing the importance of developing proof-of-concept exploits for those vulnerabilities. This unique tome is the first book to uncover the flaws in the Mac OS X operating system—and how to deal with them. Written by two white hat hackers, this book is aimed at making vital information known so that you can find ways to secure your Mac OS X systems, and examines the sorts of attacks that are prevented by Leopard’s security defenses, what attacks aren’t, and how to best handle those weaknesses.
Publisher: John Wiley & Sons
ISBN: 1118080335
Category : Computers
Languages : en
Pages : 386
Book Description
As more and more vulnerabilities are found in the Mac OS X (Leopard) operating system, security researchers are realizing the importance of developing proof-of-concept exploits for those vulnerabilities. This unique tome is the first book to uncover the flaws in the Mac OS X operating system—and how to deal with them. Written by two white hat hackers, this book is aimed at making vital information known so that you can find ways to secure your Mac OS X systems, and examines the sorts of attacks that are prevented by Leopard’s security defenses, what attacks aren’t, and how to best handle those weaknesses.
Advanced Programming in the UNIX Environment
Author: W. Richard Stevens
Publisher: Addison-Wesley Professional
ISBN: 9780321525949
Category : Computers
Languages : en
Pages : 927
Book Description
The revision of the definitive guide to Unix system programming is now available in a more portable format.
Publisher: Addison-Wesley Professional
ISBN: 9780321525949
Category : Computers
Languages : en
Pages : 927
Book Description
The revision of the definitive guide to Unix system programming is now available in a more portable format.
Languages, Compilers and Run-Time Systems for Scalable Computers
Author: Boleslaw K. Szymanski
Publisher: Springer Science & Business Media
ISBN: 146152315X
Category : Computers
Languages : en
Pages : 349
Book Description
Language, Compilers and Run-time Systems for Scalable Computers contains 20 articles based on presentations given at the third workshop of the same title, and 13 extended abstracts from the poster session. Starting with new developments in classical problems of parallel compiler design, such as dependence analysis and an exploration of loop parallelism, the book goes on to address the issues of compiler strategy for specific architectures and programming environments. Several chapters investigate support for multi-threading, object orientation, irregular computation, locality enhancement, and communication optimization. Issues of the interface between language and operating system support are also discussed. Finally, the load balance issues are discussed in different contexts, including sparse matrix computation and iteratively balanced adaptive solvers for partial differential equations. Some additional topics are also discussed in the extended abstracts. Each chapter provides a bibliography of relevant papers and the book can thus be used as a reference to the most up-to-date research in parallel software engineering.
Publisher: Springer Science & Business Media
ISBN: 146152315X
Category : Computers
Languages : en
Pages : 349
Book Description
Language, Compilers and Run-time Systems for Scalable Computers contains 20 articles based on presentations given at the third workshop of the same title, and 13 extended abstracts from the poster session. Starting with new developments in classical problems of parallel compiler design, such as dependence analysis and an exploration of loop parallelism, the book goes on to address the issues of compiler strategy for specific architectures and programming environments. Several chapters investigate support for multi-threading, object orientation, irregular computation, locality enhancement, and communication optimization. Issues of the interface between language and operating system support are also discussed. Finally, the load balance issues are discussed in different contexts, including sparse matrix computation and iteratively balanced adaptive solvers for partial differential equations. Some additional topics are also discussed in the extended abstracts. Each chapter provides a bibliography of relevant papers and the book can thus be used as a reference to the most up-to-date research in parallel software engineering.
Handbook of Object Technology
Author: Saba Zamir
Publisher: CRC Press
ISBN: 9781420049114
Category : Computers
Languages : en
Pages : 1260
Book Description
The object oriented paradigm has become one of the dominant forces in the computing world. According to a recent survey, by the year 2000, more than 80% of development organizations are expected to use object technology as the basis for their distributed development strategies. Handbook of Object Technology encompasses the entire spectrum of disciplines and topics related to this rapidly expanding field - outlining emerging technologies, latest advances, current trends, new specifications, and ongoing research. The handbook divides into 13 sections, each containing chapters related to that specific discipline. Up-to-date, non-abstract information provides the reader with practical, useful knowledge - directly applicable to the understanding and improvement of the reader's job or the area of interest related to this technology. Handbook of Object Technology discusses: the processes, notation, and tools for classical OO methodologies as well as information on future methodologies prevalent and emerging OO languages standards and specifications frameworks and patterns databases metrics business objects intranets analysis/design tools client/server application development environments
Publisher: CRC Press
ISBN: 9781420049114
Category : Computers
Languages : en
Pages : 1260
Book Description
The object oriented paradigm has become one of the dominant forces in the computing world. According to a recent survey, by the year 2000, more than 80% of development organizations are expected to use object technology as the basis for their distributed development strategies. Handbook of Object Technology encompasses the entire spectrum of disciplines and topics related to this rapidly expanding field - outlining emerging technologies, latest advances, current trends, new specifications, and ongoing research. The handbook divides into 13 sections, each containing chapters related to that specific discipline. Up-to-date, non-abstract information provides the reader with practical, useful knowledge - directly applicable to the understanding and improvement of the reader's job or the area of interest related to this technology. Handbook of Object Technology discusses: the processes, notation, and tools for classical OO methodologies as well as information on future methodologies prevalent and emerging OO languages standards and specifications frameworks and patterns databases metrics business objects intranets analysis/design tools client/server application development environments
Programming Machine Learning
Author: Paolo Perrotta
Publisher: Pragmatic Bookshelf
ISBN: 1680507710
Category : Computers
Languages : en
Pages : 437
Book Description
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.
Publisher: Pragmatic Bookshelf
ISBN: 1680507710
Category : Computers
Languages : en
Pages : 437
Book Description
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system. Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty. Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning. Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work. Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on. Iterate on your design, and add layers of complexity as you go. Build an image recognition application from scratch with supervised learning. Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning. Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets. Train and refine those networks with backpropagation and batching. Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system. Start from the beginning and code your way to machine learning mastery. What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly. Apart from that, you'll only need your computer, and your code-adept brain.