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Kernel Mode Decomposition and the Programming of Kernels

Kernel Mode Decomposition and the Programming of Kernels
Author: Houman Owhadi
Publisher: Springer Nature
Total Pages: 125
Release: 2022-01-01
Genre: Mathematics
ISBN: 3030821714

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This monograph demonstrates a new approach to the classical mode decomposition problem through nonlinear regression models, which achieve near-machine precision in the recovery of the modes. The presentation includes a review of generalized additive models, additive kernels/Gaussian processes, generalized Tikhonov regularization, empirical mode decomposition, and Synchrosqueezing, which are all related to and generalizable under the proposed framework. Although kernel methods have strong theoretical foundations, they require the prior selection of a good kernel. While the usual approach to this kernel selection problem is hyperparameter tuning, the objective of this monograph is to present an alternative (programming) approach to the kernel selection problem while using mode decomposition as a prototypical pattern recognition problem. In this approach, kernels are programmed for the task at hand through the programming of interpretable regression networks in the context of additive Gaussian processes. It is suitable for engineers, computer scientists, mathematicians, and students in these fields working on kernel methods, pattern recognition, and mode decomposition problems.


Programming Many-Core Chips

Programming Many-Core Chips
Author: András Vajda
Publisher: Springer Science & Business Media
Total Pages: 233
Release: 2011-06-10
Genre: Technology & Engineering
ISBN: 1441997393

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This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of parallelism inherent to these chips, software designers face new challenges in terms of operating systems, middleware and applications. This will serve as an invaluable, single-source reference to the state-of-the-art in programming many-core chips. Coverage includes many-core architectures, operating systems, middleware, and programming models.


Understanding the Linux Kernel

Understanding the Linux Kernel
Author: Daniel Pierre Bovet
Publisher: "O'Reilly Media, Inc."
Total Pages: 786
Release: 2002
Genre: Computers
ISBN: 9780596002138

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To thoroughly understand what makes Linux tick and why it's so efficient, you need to delve deep into the heart of the operating system--into the Linux kernel itself. The kernel is Linux--in the case of the Linux operating system, it's the only bit of software to which the term "Linux" applies. The kernel handles all the requests or completed I/O operations and determines which programs will share its processing time, and in what order. Responsible for the sophisticated memory management of the whole system, the Linux kernel is the force behind the legendary Linux efficiency. The new edition of Understanding the Linux Kernel takes you on a guided tour through the most significant data structures, many algorithms, and programming tricks used in the kernel. Probing beyond the superficial features, the authors offer valuable insights to people who want to know how things really work inside their machine. Relevant segments of code are dissected and discussed line by line. The book covers more than just the functioning of the code, it explains the theoretical underpinnings for why Linux does things the way it does. The new edition of the book has been updated to cover version 2.4 of the kernel, which is quite different from version 2.2: the virtual memory system is entirely new, support for multiprocessor systems is improved, and whole new classes of hardware devices have been added. The authors explore each new feature in detail. Other topics in the book include: Memory management including file buffering, process swapping, and Direct memory Access (DMA) The Virtual Filesystem and the Second Extended Filesystem Process creation and scheduling Signals, interrupts, and the essential interfaces to device drivers Timing Synchronization in the kernel Interprocess Communication (IPC) Program execution Understanding the Linux Kernel, Second Edition will acquaint you with all the inner workings of Linux, but is more than just an academic exercise. You'll learn what conditions bring out Linux's best performance, and you'll see how it meets the challenge of providing good system response during process scheduling, file access, and memory management in a wide variety of environments. If knowledge is power, then this book will help you make the most of your Linux system.


Understanding the Linux Kernel

Understanding the Linux Kernel
Author: Daniel P. Bovet
Publisher: "O'Reilly Media, Inc."
Total Pages: 944
Release: 2005-11-17
Genre: Computers
ISBN: 0596554915

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In order to thoroughly understand what makes Linux tick and why it works so well on a wide variety of systems, you need to delve deep into the heart of the kernel. The kernel handles all interactions between the CPU and the external world, and determines which programs will share processor time, in what order. It manages limited memory so well that hundreds of processes can share the system efficiently, and expertly organizes data transfers so that the CPU isn't kept waiting any longer than necessary for the relatively slow disks. The third edition of Understanding the Linux Kernel takes you on a guided tour of the most significant data structures, algorithms, and programming tricks used in the kernel. Probing beyond superficial features, the authors offer valuable insights to people who want to know how things really work inside their machine. Important Intel-specific features are discussed. Relevant segments of code are dissected line by line. But the book covers more than just the functioning of the code; it explains the theoretical underpinnings of why Linux does things the way it does. This edition of the book covers Version 2.6, which has seen significant changes to nearly every kernel subsystem, particularly in the areas of memory management and block devices. The book focuses on the following topics: Memory management, including file buffering, process swapping, and Direct memory Access (DMA) The Virtual Filesystem layer and the Second and Third Extended Filesystems Process creation and scheduling Signals, interrupts, and the essential interfaces to device drivers Timing Synchronization within the kernel Interprocess Communication (IPC) Program execution Understanding the Linux Kernel will acquaint you with all the inner workings of Linux, but it's more than just an academic exercise. You'll learn what conditions bring out Linux's best performance, and you'll see how it meets the challenge of providing good system response during process scheduling, file access, and memory management in a wide variety of environments. This book will help you make the most of your Linux system.


Linux Kernel Programming

Linux Kernel Programming
Author: Kaiwan N. Billimoria
Publisher: Packt Publishing Ltd
Total Pages: 827
Release: 2024-02-29
Genre: Computers
ISBN: 180324108X

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Gain both a firm practical understanding and sufficient theoretical insight into the inner workings of Linux kernel internals, learn to write high-quality kernel module code, understand the complexities of kernel synchronization Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Discover how to write Linux kernel and module code for real-world products Implement industry-grade techniques in real-world scenarios for fast, efficient memory allocation and data synchronization Understand and exploit kernel architecture, CPU scheduling, and kernel synchronization techniques Book DescriptionThe 2nd Edition of Linux Kernel Programming is an updated, comprehensive guide for new programmers to the Linux kernel. This book uses the recent 6.1 Long-Term Support (LTS) Linux kernel series, which will be maintained until Dec 2026, and also delves into its many new features. Further, the Civil Infrastructure Project has pledged to maintain and support this 6.1 Super LTS (SLTS) kernel right until August 2033, keeping this book valid for years to come! You’ll begin this exciting journey by learning how to build the kernel from source. In a step by step manner, you will then learn how to write your first kernel module by leveraging the kernel’s powerful Loadable Kernel Module (LKM) framework. With this foundation, you will delve into key kernel internals topics including Linux kernel architecture, memory management, and CPU (task) scheduling. You’ll finish with understanding the deep issues of concurrency, and gain insight into how they can be addressed with various synchronization/locking technologies (e.g., mutexes, spinlocks, atomic/refcount operators, rw-spinlocks and even lock-free technologies such as per-CPU and RCU). By the end of this book, you’ll have a much better understanding of the fundamentals of writing the Linux kernel and kernel module code that can straight away be used in real-world projects and products.What you will learn Configure and build the 6.1 LTS kernel from source Write high-quality modular kernel code (LKM framework) for 6.x kernels Explore modern Linux kernel architecture Get to grips with key internals details regarding memory management within the kernel Understand and work with various dynamic kernel memory alloc/dealloc APIs Discover key internals aspects regarding CPU scheduling within the kernel, including cgroups v2 Gain a deeper understanding of kernel concurrency issues Learn how to work with key kernel synchronization primitives Who this book is for This book is for beginner Linux programmers and developers looking to get started with the Linux kernel, providing a knowledge base to understand required kernel internal topics and overcome frequent and common development issues. A basic understanding of Linux CLI and C programming is assumed.


Kernel Methods for Pattern Analysis

Kernel Methods for Pattern Analysis
Author:
Publisher:
Total Pages: 462
Release: 2004
Genre: Algorithms
ISBN: 9780511214189

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The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems.


Parallel Processing and Applied Mathematics

Parallel Processing and Applied Mathematics
Author: Roman Wyrzykowski
Publisher: Springer
Total Pages: 1437
Release: 2008-05-29
Genre: Computers
ISBN: 3540681116

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This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Parallel Processing and Applied Mathematics, PPAM 2007, held in Gdansk, Poland, in September 2007. The 63 revised full papers of the main conference presented together with 85 revised workshop papers were carefully reviewed and selected from over 250 initial submissions. The papers are organized in topical sections on parallel/distributed architectures and mobile computing, numerical algorithms and parallel numerics, parallel and distributed non-numerical algorithms, environments and tools for as well as applications of parallel/distributed/grid computing, evolutionary computing, meta-heuristics and neural networks. The volume proceeds with the outcome of 11 workshops and minisymposia dealing with novel data formats and algorithms for dense linear algebra computations, combinatorial tools for parallel sparse matrix computations, grid applications and middleware, large scale computations on grids, models, algorithms and methodologies for grid-enabled computing environments, scheduling for parallel computing, language-based parallel programming models, performance evaluation of parallel applications on large-scale systems, parallel computational biology, high performance computing for engineering applications, and the minisymposium on interval analysis.


Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization

Operator-Adapted Wavelets, Fast Solvers, and Numerical Homogenization
Author: Houman Owhadi
Publisher: Cambridge University Press
Total Pages: 491
Release: 2019-10-24
Genre: Mathematics
ISBN: 1108484360

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Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.


Equalizer Programming and User Guide

Equalizer Programming and User Guide
Author: Stefan Eilemann
Publisher: Eyescale Software GmbH
Total Pages: 122
Release: 2013-07-26
Genre: Computers
ISBN: 1491202807

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The official reference for developing and deploying parallel, scalable OpenGL applications based on the Equalizer parallel rendering framework.