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Computer science --- Computational complexity --- Complexité de calcul (Informatique) --- 681.3*F2 --- Complexity, Computational --- Electronic data processing --- Machine theory --- Analysis of algorithms and problem complexity--See also {681.3*B6}; {681.3*B7}; {681.3*F13} --- Computational complexity. --- 681.3*F2 Analysis of algorithms and problem complexity--See also {681.3*B6}; {681.3*B7}; {681.3*F13} --- Complexité de calcul (Informatique) --- Informatique --- Computer science. --- Algorithmique --- Complexite
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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.
Computer architecture. Operating systems --- Operating systems (Computers) --- Systèmes d'exploitation (Ordinateurs) --- Linux --- Linux (operating system) --- 681.3*D4 --- Operating systems--See also {681.3*C} --- Linux (operating system). --- 681.3*D4 Operating systems--See also {681.3*C} --- Systèmes d'exploitation (Ordinateurs) --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Operating systems --- Linux. --- Slackware Linux --- SUSE Linux
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550.36 --- 556.33 --- Terrestrial energetics and thermodynamics --- Aquifers. Water-bearing strata --- 556.33 Aquifers. Water-bearing strata --- 550.36 Terrestrial energetics and thermodynamics --- Aquifères --- Eaux souterraines --- Hydrogéologie --- Aquifères. --- Eaux souterraines. --- Hydrogéologie.
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This book constitutes the refereed proceedings of the Third Italian Conference on Algorithms and Complexity, CIAC'97, held in Rome, Italy in March 1997. The 25 revised full papers included in the volume were carefully selected from a total of 74 submissions; also included is an invited paper and an invited abstract. All in all, the papers present an interesting snapshot of current research activities and recent results in theory and applications of sequential, distributed, and parallel algorithms, data structures, and computational complexity.
Algorithms --- Computational complexity --- Congresses. --- Mathematical Theory --- Mathematics --- Physical Sciences & Mathematics --- Congresses --- Computer science. --- Data structures (Computer science). --- Computers. --- Algorithms. --- Applied mathematics. --- Engineering mathematics. --- Mathematical logic. --- Computer Science. --- Theory of Computation. --- Mathematical Logic and Foundations. --- Applications of Mathematics. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Data Structures. --- Information theory. --- Logic, Symbolic and mathematical. --- Mathematics. --- Computer software. --- Data structures (Computer scienc. --- Software, Computer --- Computer systems --- Math --- Science --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Communication theory --- Communication --- Cybernetics --- Informatics --- Engineering --- Engineering analysis --- Mathematical analysis --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Machine theory --- Calculators --- Cyberspace --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Algorism --- Algebra --- Arithmetic --- Foundations --- Algorithms - Congresses --- Computational complexity - Congresses.
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