Principles of Computer Architecture
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Introduction to the Ipaddress Module
Introduction to the ipaddress Module An Introduction to the ipaddress Module Overview: This document provides an introduction to the ipaddress module used in the Python language for manipulation of IPv4 and IPv6 addresses. At a high level, IPv4 and IPv6 addresses are used for like purposes and functions. However, since there are major differences in the address structure for each protocol, this tutorial has separated into separate sections, one each for IPv4 and IPv6. In today’s Internet, the IPv4 protocol controls the majority of IP processing and will remain so for the near future. The enhancements in scale and functionality that come with IPv6 are necessary for the future of the Internet and adoption is progressing. The adoption rate, however, remains slow to this date. IPv4 and the ipaddress Module: The following is a brief discussion of the engineering of an IPv4 address. Only topics pertinent to the ipaddress module are included. A IPv4 address is composed of 32 bits, organized into four eight bit groupings referred to as “octets”. The word “octet” is used to identify an eight-bit structure in place of the more common term “byte”, but they carry the same definition. The four octets are referred to as octet1, octet2, octet3, and octet4. This is a “dotted decimal” format where each eight-bit octet can have a decimal value based on eight bits from zero to 255. IPv4 example: 192.168.100.10 Every packet in an IPv4 network contains a separate source and destination address. As a unique entity, a IPv4 address should be sufficient to route an IPv4 data packet from the source address of the packet to the destination address of the packet on a IPv4 enabled network, such as the Internet. -
Three-Dimensional Integrated Circuit Design: EDA, Design And
Integrated Circuits and Systems Series Editor Anantha Chandrakasan, Massachusetts Institute of Technology Cambridge, Massachusetts For other titles published in this series, go to http://www.springer.com/series/7236 Yuan Xie · Jason Cong · Sachin Sapatnekar Editors Three-Dimensional Integrated Circuit Design EDA, Design and Microarchitectures 123 Editors Yuan Xie Jason Cong Department of Computer Science and Department of Computer Science Engineering University of California, Los Angeles Pennsylvania State University [email protected] [email protected] Sachin Sapatnekar Department of Electrical and Computer Engineering University of Minnesota [email protected] ISBN 978-1-4419-0783-7 e-ISBN 978-1-4419-0784-4 DOI 10.1007/978-1-4419-0784-4 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009939282 © Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Foreword We live in a time of great change. -
How Many Bits Are in a Byte in Computer Terms
How Many Bits Are In A Byte In Computer Terms Periosteal and aluminum Dario memorizes her pigeonhole collieshangie count and nagging seductively. measurably.Auriculated and Pyromaniacal ferrous Gunter Jessie addict intersperse her glockenspiels nutritiously. glimpse rough-dries and outreddens Featured or two nibbles, gigabytes and videos, are the terms bits are in many byte computer, browse to gain comfort with a kilobyte est une unité de armazenamento de armazenamento de almacenamiento de dados digitais. Large denominations of computer memory are composed of bits, Terabyte, then a larger amount of nightmare can be accessed using an address of had given size at sensible cost of added complexity to access individual characters. The binary arithmetic with two sets render everything into one digit, in many bits are a byte computer, not used in detail. Supercomputers are its back and are in foreign languages are brainwashed into plain text. Understanding the Difference Between Bits and Bytes Lifewire. RAM, any sixteen distinct values can be represented with a nibble, I already love a Papst fan since my hybrid head amp. So in ham of transmitting or storing bits and bytes it takes times as much. Bytes and bits are the starting point hospital the computer world Find arrogant about the Base-2 and bit bytes the ASCII character set byte prefixes and binary math. Its size can vary depending on spark machine itself the computing language In most contexts a byte is futile to bits or 1 octet In 1956 this leaf was named by. Pages Bytes and Other Units of Measure Robelle. This function is used in conversion forms where we are one series two inputs. -
Declustering Spatial Databases on a Multi-Computer Architecture
Declustering spatial databases on a multi-computer architecture 1 2 ? 3 Nikos Koudas and Christos Faloutsos and Ibrahim Kamel 1 Computer Systems Research Institute University of Toronto 2 AT&T Bell Lab oratories Murray Hill, NJ 3 Matsushita Information Technology Lab oratory Abstract. We present a technique to decluster a spatial access metho d + on a shared-nothing multi-computer architecture [DGS 90]. We prop ose a software architecture with the R-tree as the underlying spatial access metho d, with its non-leaf levels on the `master-server' and its leaf no des distributed across the servers. The ma jor contribution of our work is the study of the optimal capacity of leaf no des, or `chunk size' (or `striping unit'): we express the resp onse time on range queries as a function of the `chunk size', and we show how to optimize it. We implemented our metho d on a network of workstations, using a real dataset, and we compared the exp erimental and the theoretical results. The conclusion is that our formula for the resp onse time is very accurate (the maximum relative error was 29%; the typical error was in the vicinity of 10-15%). We illustrate one of the p ossible ways to exploit such an accurate formula, by examining several `what-if ' scenarios. One ma jor, practical conclusion is that a chunk size of 1 page gives either optimal or close to optimal results, for a wide range of the parameters. Keywords: Parallel data bases, spatial access metho ds, shared nothing ar- chitecture. 1 Intro duction One of the requirements for the database management systems (DBMSs) of the future is the ability to handle spatial data. -
The Application of File Identification, Validation, and Characterization Tools in Digital Curation
THE APPLICATION OF FILE IDENTIFICATION, VALIDATION, AND CHARACTERIZATION TOOLS IN DIGITAL CURATION BY KEVIN MICHAEL FORD THESIS Submitted in partial fulfillment of the requirements for the degree of Master of Science in Library and Information Science in the Graduate College of the University of Illinois at Urbana-Champaign, 2011 Urbana, Illinois Advisers: Research Assistant Professor Melissa Cragin Assistant Professor Jerome McDonough ABSTRACT File format identification, characterization, and validation are considered essential processes for digital preservation and, by extension, long-term data curation. These actions are performed on data objects by humans or computers, in an attempt to identify the type of a given file, derive characterizing information that is specific to the file, and validate that the given file conforms to its type specification. The present research reviews the literature surrounding these digital preservation activities, including their theoretical basis and the publications that accompanied the formal release of tools and services designed in response to their theoretical foundation. It also reports the results from extensive tests designed to evaluate the coverage of some of the software tools developed to perform file format identification, characterization, and validation actions. Tests of these tools demonstrate that more work is needed – particularly in terms of scalable solutions – to address the expanse of digital data to be preserved and curated. The breadth of file types these tools are anticipated to handle is so great as to call into question whether a scalable solution is feasible, and, more broadly, whether such efforts will offer a meaningful return on investment. Also, these tools, which serve to provide a type of baseline reading of a file in a repository, can be easily tricked. -
Chap01: Computer Abstractions and Technology
CHAPTER 1 Computer Abstractions and Technology 1.1 Introduction 3 1.2 Eight Great Ideas in Computer Architecture 11 1.3 Below Your Program 13 1.4 Under the Covers 16 1.5 Technologies for Building Processors and Memory 24 1.6 Performance 28 1.7 The Power Wall 40 1.8 The Sea Change: The Switch from Uniprocessors to Multiprocessors 43 1.9 Real Stuff: Benchmarking the Intel Core i7 46 1.10 Fallacies and Pitfalls 49 1.11 Concluding Remarks 52 1.12 Historical Perspective and Further Reading 54 1.13 Exercises 54 CMPS290 Class Notes (Chap01) Page 1 / 24 by Kuo-pao Yang 1.1 Introduction 3 Modern computer technology requires professionals of every computing specialty to understand both hardware and software. Classes of Computing Applications and Their Characteristics Personal computers o A computer designed for use by an individual, usually incorporating a graphics display, a keyboard, and a mouse. o Personal computers emphasize delivery of good performance to single users at low cost and usually execute third-party software. o This class of computing drove the evolution of many computing technologies, which is only about 35 years old! Server computers o A computer used for running larger programs for multiple users, often simultaneously, and typically accessed only via a network. o Servers are built from the same basic technology as desktop computers, but provide for greater computing, storage, and input/output capacity. Supercomputers o A class of computers with the highest performance and cost o Supercomputers consist of tens of thousands of processors and many terabytes of memory, and cost tens to hundreds of millions of dollars. -
1 Powers of Two
A. V. GERBESSIOTIS CS332-102 Spring 2020 Jan 24, 2020 Computer Science: Fundamentals Page 1 Handout 3 1 Powers of two Definition 1.1 (Powers of 2). The expression 2n means the multiplication of n twos. Therefore, 22 = 2 · 2 is a 4, 28 = 2 · 2 · 2 · 2 · 2 · 2 · 2 · 2 is 256, and 210 = 1024. Moreover, 21 = 2 and 20 = 1. Several times one might write 2 ∗ ∗n or 2ˆn for 2n (ˆ is the hat/caret symbol usually co-located with the numeric-6 keyboard key). Prefix Name Multiplier d deca 101 = 10 h hecto 102 = 100 3 Power Value k kilo 10 = 1000 6 0 M mega 10 2 1 9 1 G giga 10 2 2 12 4 T tera 10 2 16 P peta 1015 8 2 256 E exa 1018 210 1024 d deci 10−1 216 65536 c centi 10−2 Prefix Name Multiplier 220 1048576 m milli 10−3 Ki kibi or kilobinary 210 − 230 1073741824 m micro 10 6 Mi mebi or megabinary 220 40 n nano 10−9 Gi gibi or gigabinary 230 2 1099511627776 −12 40 250 1125899906842624 p pico 10 Ti tebi or terabinary 2 f femto 10−15 Pi pebi or petabinary 250 Figure 1: Powers of two Figure 2: SI system prefixes Figure 3: SI binary prefixes Definition 1.2 (Properties of powers). • (Multiplication.) 2m · 2n = 2m 2n = 2m+n. (Dot · optional.) • (Division.) 2m=2n = 2m−n. (The symbol = is the slash symbol) • (Exponentiation.) (2m)n = 2m·n. Example 1.1 (Approximations for 210 and 220 and 230). -
Arch2030: a Vision of Computer Architecture Research Over
Arch2030: A Vision of Computer Architecture Research over the Next 15 Years This material is based upon work supported by the National Science Foundation under Grant No. (1136993). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Arch2030: A Vision of Computer Architecture Research over the Next 15 Years Luis Ceze, Mark D. Hill, Thomas F. Wenisch Sponsored by ARCH2030: A VISION OF COMPUTER ARCHITECTURE RESEARCH OVER THE NEXT 15 YEARS Summary .........................................................................................................................................................................1 The Specialization Gap: Democratizing Hardware Design ..........................................................................................2 The Cloud as an Abstraction for Architecture Innovation ..........................................................................................4 Going Vertical ................................................................................................................................................................5 Architectures “Closer to Physics” ................................................................................................................................5 Machine Learning as a Key Workload ..........................................................................................................................6 About this -
Computers and the Thai Language
[3B2-6] man2009010046.3d 12/2/09 13:47 Page 46 Computers and the Thai Language Hugh Thaweesak Koanantakool National Science and Technology Development Agency Theppitak Karoonboonyanan Thai Linux Working Group Chai Wutiwiwatchai National Electronics and Computer Technology Center This article explains the history of Thai language development for computers, examining such factors as the language, script, and writing system, among others. The article also analyzes characteristics of Thai characters and I/O methods, and addresses key issues involved in Thai text processing. Finally, the article reports on language processing research and provides detailed information on Thai language resources. Thai is the official language of Thailand. Certain vowels, all tone marks, and diacritics The Thai script system has been used are written above and below the main for Thai, Pali, and Sanskrit languages in Bud- character. dhist texts all over the country. Standard Pronunciation of Thai words does not Thai is used in all schools in Thailand, and change with their usage, as each word has a most dialects of Thai use the same script. fixed tone. Changing the tone of a syllable Thai is the language of 65 million people, may lead to a totally different meaning. and has a number of regional dialects, such Thai verbs do not change their forms as as Northeastern Thai (or Isan; 15 million with tense, gender, and singular or plural people), Northern Thai (or Kam Meuang or form,asisthecaseinEuropeanlanguages.In- Lanna; 6 million people), Southern Thai stead, there are other additional words to help (5 million people), Khorat Thai (400,000 with the meaning for tense, gender, and sin- people), and many more variations (http:// gular or plural. -
Computer Architecture Techniques for Power-Efficiency
MOCL005-FM MOCL005-FM.cls June 27, 2008 8:35 COMPUTER ARCHITECTURE TECHNIQUES FOR POWER-EFFICIENCY i MOCL005-FM MOCL005-FM.cls June 27, 2008 8:35 ii MOCL005-FM MOCL005-FM.cls June 27, 2008 8:35 iii Synthesis Lectures on Computer Architecture Editor Mark D. Hill, University of Wisconsin, Madison Synthesis Lectures on Computer Architecture publishes 50 to 150 page publications on topics pertaining to the science and art of designing, analyzing, selecting and interconnecting hardware components to create computers that meet functional, performance and cost goals. Computer Architecture Techniques for Power-Efficiency Stefanos Kaxiras and Margaret Martonosi 2008 Chip Mutiprocessor Architecture: Techniques to Improve Throughput and Latency Kunle Olukotun, Lance Hammond, James Laudon 2007 Transactional Memory James R. Larus, Ravi Rajwar 2007 Quantum Computing for Computer Architects Tzvetan S. Metodi, Frederic T. Chong 2006 MOCL005-FM MOCL005-FM.cls June 27, 2008 8:35 Copyright © 2008 by Morgan & Claypool All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher. Computer Architecture Techniques for Power-Efficiency Stefanos Kaxiras and Margaret Martonosi www.morganclaypool.com ISBN: 9781598292084 paper ISBN: 9781598292091 ebook DOI: 10.2200/S00119ED1V01Y200805CAC004 A Publication in the Morgan & Claypool Publishers -
American National Dictionary for Information Processing
NAT L INST OF STAND & TECH R.j^C. NIST X3/TR-1—77 PUBLICATIONS -SniDB 517103 1977 SEPTEMBER X3 TECHNICAL REPORT Adopted tor Use by the Federal Government AMERICAN NATIONAL DICTIONARY FOR INFORMATION PROCESSING FIPS 11-1 See Notice on Inside Front Cover M AMERICAN NATIONAL STANDARDS COMMITTEE X3 — COMPUTERS & INFORMATION PROCESSING JKm - ■ PRsA2> tlD II- I iq-n ab( TTTli This DICTIONARY has been adopted for Federal Government use as a basic reference document to promote a common understanding of information processing terminology. Details concerning the specific use of this DICTIONARY are contained in Federal Information Processing Standards Publication 11-1, DICTIONARY FOR INFORMATION PROCESSING For a complete list of publications avail¬ able in the FIPS Series, write to the Office of ADP Standards Management, Institute for Computer Sciences and Technology, National Bureau of Stan¬ dards, Washington, D C 20234 f-^oftH Qvlas vi StzaiiTft DEC 7 1378 X3/TR-1-77 not (\ Cc - ;<£ 1977 September SKI American National Dictionary for Information Processing American National Standards Committee X3 — Computers and Information Processing Secretariat: Computer and Business Equipment Manufacturers Association Published by Computer and Business Equipment Manufacturers Association 1828 L Street NW, Washington DC 20036 202/466-2299 Copyright © 1977 by Computer and Business Equipment Manufacturers Association All rights reserved. Permission is herby granted for quotation, with accreditation to "American National Dictionary for Information Processing, X3/TR-1-77". of up to fifty terms and their definitions. Other than such quotation, no part of this publication may be reproduced in any form, in an electronic retrieval system or otherwise, without the prior written permission of the publisher. -
Tutor Talk Binary Numbers
What are binary numbers and why do we use them? BINARY NUMBERS Converting decimal numbers to binary numbers The number system we commonly use is decimal numbers, also known as Base 10. Ones, tens, hundreds, and thousands. For example, 4351 represents 4 thousands, 3 hundreds, 5 tens, and 1 ones. Thousands Hundreds Tens ones 4 3 5 1 Thousands Hundreds Tens ones 4 3 5 1 However, a computer does not understand decimal numbers. It only understands “on and off,” “yes and no.” Thousands Hundreds Tens ones 4 3 5 1 In order to convey “yes and no” to a computer, we use the numbers one (“yes” or “on”) and zero (“no” or “off”). To break it down further, the number 4351 represents 1 times 1, 5 times 10, DECIMAL NUMBERS (BASE 10) 3 times 100, and 4 times 1000. Each step to the left is another multiplication of 10. This is why it is called Base 10, or decimal numbers. The prefix dec- 4351 means ten. 4x1000 3x100 5x10 1x1 One is 10 to the zero power. Anything raised to the zero power is one. DECIMAL NUMBERS (BASE 10) Ten is 10 to the first power (or 10). One hundred is 10 to the second power (or 10 times 10). One thousand is 10 to the third 4351 power (or 10 times 10 times 10). 4x1000 3x100 5x10 1x1 103=1000 102=100 101=10 100=1 Binary numbers, or Base 2, use the number 2 instead of the number 10. 103 102 101 100 The prefix bi- means two.