05 Tom Van Vleck Excerpts
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UNIX and Computer Science Spreading UNIX Around the World: by Ronda Hauben an Interview with John Lions
Winter/Spring 1994 Celebrating 25 Years of UNIX Volume 6 No 1 "I believe all significant software movements start at the grassroots level. UNIX, after all, was not developed by the President of AT&T." Kouichi Kishida, UNIX Review, Feb., 1987 UNIX and Computer Science Spreading UNIX Around the World: by Ronda Hauben An Interview with John Lions [Editor's Note: This year, 1994, is the 25th anniversary of the [Editor's Note: Looking through some magazines in a local invention of UNIX in 1969 at Bell Labs. The following is university library, I came upon back issues of UNIX Review from a "Work In Progress" introduced at the USENIX from the mid 1980's. In these issues were articles by or inter- Summer 1993 Conference in Cincinnati, Ohio. This article is views with several of the pioneers who developed UNIX. As intended as a contribution to a discussion about the sig- part of my research for a paper about the history and devel- nificance of the UNIX breakthrough and the lessons to be opment of the early days of UNIX, I felt it would be helpful learned from it for making the next step forward.] to be able to ask some of these pioneers additional questions The Multics collaboration (1964-1968) had been created to based on the events and developments described in the UNIX "show that general-purpose, multiuser, timesharing systems Review Interviews. were viable." Based on the results of research gained at MIT Following is an interview conducted via E-mail with John using the MIT Compatible Time-Sharing System (CTSS), Lions, who wrote A Commentary on the UNIX Operating AT&T and GE agreed to work with MIT to build a "new System describing Version 6 UNIX to accompany the "UNIX hardware, a new operating system, a new file system, and a Operating System Source Code Level 6" for the students in new user interface." Though the project proceeded slowly his operating systems class at the University of New South and it took years to develop Multics, Doug Comer, a Profes- Wales in Australia. -
Oral History of Fernando Corbató
Oral History of Fernando Corbató Interviewed by: Steven Webber Recorded: February 1, 2006 West Newton, Massachusetts CHM Reference number: X3438.2006 © 2006 Computer History Museum Oral History of Fernando Corbató Steven Webber: Today the Computer History Museum Oral History Project is going to interview Fernando J. Corbató, known as Corby. Today is February 1 in 2006. We like to start at the very beginning on these interviews. Can you tell us something about your birth, your early days, where you were born, your parents, your family? Fernando Corbató: Okay. That’s going back a long ways of course. I was born in Oakland. My parents were graduate students at Berkeley and then about age 5 we moved down to West Los Angeles, Westwood, where I grew up [and spent] most of my early years. My father was a professor of Spanish literature at UCLA. I went to public schools there in West Los Angeles, [namely,] grammar school, junior high and [the high school called] University High. So I had a straightforward public school education. I guess the most significant thing to get to is that World War II began when I was in high school and that caused several things to happen. I’m meandering here. There’s a little bit of a long story. Because of the wartime pressures on manpower, the high school went into early and late classes and I cleverly saw that I could get a chance to accelerate my progress. I ended up taking both early and late classes and graduating in two years instead of three and [thereby] got a chance to go to UCLA in 1943. -
The Strange Birth and Long Life of Unix - IEEE Spectrum Page 1 of 6
The Strange Birth and Long Life of Unix - IEEE Spectrum Page 1 of 6 COMPUTING / SOFTWARE FEATURE The Strange Birth and Long Life of Unix The classic operating system turns 40, and its progeny abound By WARREN TOOMEY / DECEMBER 2011 They say that when one door closes on you, another opens. People generally offer this bit of wisdom just to lend some solace after a misfortune. But sometimes it's actually true. It certainly was for Ken Thompson and the late Dennis Ritchie, two of the greats of 20th-century information technology, when they created the Unix operating system, now considered one of the most inspiring and influential pieces of software ever written. A door had slammed shut for Thompson and Ritchie in March of 1969, when their employer, the American Telephone & Telegraph Co., withdrew from a collaborative project with the Photo: Alcatel-Lucent Massachusetts Institute of KEY FIGURES: Ken Thompson [seated] types as Dennis Ritchie looks on in 1972, shortly Technology and General Electric after they and their Bell Labs colleagues invented Unix. to create an interactive time- sharing system called Multics, which stood for "Multiplexed Information and Computing Service." Time-sharing, a technique that lets multiple people use a single computer simultaneously, had been invented only a decade earlier. Multics was to combine time-sharing with other technological advances of the era, allowing users to phone a computer from remote terminals and then read e -mail, edit documents, run calculations, and so forth. It was to be a great leap forward from the way computers were mostly being used, with people tediously preparing and submitting batch jobs on punch cards to be run one by one. -
The Strange Birth and Long Life of Unix - IEEE Spectrum
The Strange Birth and Long Life of Unix - IEEE Spectrum http://spectrum.ieee.org/computing/software/the-strange-birth-and-long-li... COMPUTING / SOFTWARE FEATURE The Strange Birth and Long Life of Unix The classic operating system turns 40, and its progeny abound By WARREN TOOMEY / DECEMBER 2011 They say that when one door closes on you, another opens. People generally offer this bit of wisdom just to lend some solace after a misfortune. But sometimes it's actually true. It certainly was for Ken Thompson and the late Dennis Ritchie, two of the greats of 20th-century information technology, when they created the Unix operating system, now considered one of the most inspiring and influential pieces of software ever written. A door had slammed shut for Thompson and Ritchie in March of 1969, when their employer, the American Telephone & Telegraph Co., withdrew from a collaborative project with the Photo: Alcatel-Lucent Massachusetts Institute of KEY FIGURES: Ken Thompson [seated] types as Dennis Ritchie looks on in 1972, shortly Technology and General Electric after they and their Bell Labs colleagues invented Unix. to create an interactive time-sharing system called Multics, which stood for "Multiplexed Information and Computing Service." Time-sharing, a technique that lets multiple people use a single computer simultaneously, had been invented only a decade earlier. Multics was to combine time-sharing with other technological advances of the era, allowing users to phone a computer from remote terminals and then read e-mail, edit documents, run calculations, and so forth. It was to be a great leap forward from the way computers were mostly being used, with people tediously preparing and submitting batch jobs on punch cards to be run one by one. -
Cannibal Code
KIll it with Fire © 2021 by Marianne Bellotti 2 CANNIBAL CODE f technology advances in cycles, you might assume the best legacy I modernization strategy is to wait a decade or two for paradigms to shift back and leapfrog over. If only! For all that mainframes and clouds might have in common in general, they have a number of significant dif- ferences in the implementation that block easy transitions. While the architectural philosophy of time-sharing has come back in vogue, other components of technology have been advancing at a different pace. You can divide any single product into an infinite number of elements: hard- ware, software, interfaces, protocols, and so on. Then you can add specific techniques within those categories. Not all cycles are in sync. The odds of a modern piece of technology perfectly reflecting an older piece of tech- nology are as likely as finding two days where every star in the sky had the exact same position. So, the takeaway from understanding that technology advances in cycles isn’t that upgrades are easier the longer you wait, it’s that you should avoid upgrading to new technology simply because it’s new. KIll it with Fire © 2021 by Marianne Bellotti Alignable Differences and User Interfaces Without alignable differences, consumers can’t determine the value of the technology in which they are being asked to invest. Completely innovative technology is not a viable solution, because it has no refer- ence point to help it find its market. We often think of technology as being streamlined and efficient with no unnecessary bits without a clear purpose, but in fact, many forms of technology you depend on have ves- tigial features either inherited from other older forms of technology or imported later to create the illusion of feature parity. -
QED: the Edinburgh TREC-2003 Question Answering System
QED: The Edinburgh TREC-2003 Question Answering System Jochen L. Leidner Johan Bos Tiphaine Dalmas James R. Curran Stephen Clark Colin J. Bannard Bonnie Webber Mark Steedman School of Informatics, University of Edinburgh 2 Buccleuch Place, Edinburgh, EH8 9LW, UK. [email protected] Abstract We also use additional state-of-the-art text processing tools, including maximum entropy taggers for POS tag- This report describes a new open-domain an- ging and named entity (NE) recognition. POS tags and swer retrieval system developed at the Uni- NE-tags are used during the construction of the semantic versity of Edinburgh and gives results for the representation. Section 2 describes each component of TREC-12 question answering track. Phrasal an- the system in detail. swers are identified by increasingly narrowing The main characteristics of the system architecture are down the search space from a large text col- the use of the Open Agent Architecture (OAA) and a par- lection to a single phrase. The system uses allel design which allows multiple questions to be an- document retrieval, query-based passage seg- swered simultaneously on a Beowulf cluster. The archi- mentation and ranking, semantic analysis from tecture is shown in Figure 1. a wide-coverage parser, and a unification-like matching procedure to extract potential an- 2 Component Description swers. A simple Web-based answer validation stage is also applied. The system is based on 2.1 Pre-processing and Indexing the Open Agent Architecture and has a paral- The ACQUAINT document collection which forms the ba- lel design so that multiple questions can be an- sis for TREC-2003 was pre-processed with a set of Perl swered simultaneously on a Beowulf cluster. -
The Computational Attitude in Music Theory
The Computational Attitude in Music Theory Eamonn Bell Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Eamonn Bell All rights reserved ABSTRACT The Computational Attitude in Music Theory Eamonn Bell Music studies’s turn to computation during the twentieth century has engendered particular habits of thought about music, habits that remain in operation long after the music scholar has stepped away from the computer. The computational attitude is a way of thinking about music that is learned at the computer but can be applied away from it. It may be manifest in actual computer use, or in invocations of computationalism, a theory of mind whose influence on twentieth-century music theory is palpable. It may also be manifest in more informal discussions about music, which make liberal use of computational metaphors. In Chapter 1, I describe this attitude, the stakes for considering the computer as one of its instruments, and the kinds of historical sources and methodologies we might draw on to chart its ascendance. The remainder of this dissertation considers distinct and varied cases from the mid-twentieth century in which computers or computationalist musical ideas were used to pursue new musical objects, to quantify and classify musical scores as data, and to instantiate a generally music-structuralist mode of analysis. I present an account of the decades-long effort to prepare an exhaustive and accurate catalog of the all-interval twelve-tone series (Chapter 2). This problem was first posed in the 1920s but was not solved until 1959, when the composer Hanns Jelinek collaborated with the computer engineer Heinz Zemanek to jointly develop and run a computer program. -
A Survey of Engineering of Formally Verified Software
The version of record is available at: http://dx.doi.org/10.1561/2500000045 QED at Large: A Survey of Engineering of Formally Verified Software Talia Ringer Karl Palmskog University of Washington University of Texas at Austin [email protected] [email protected] Ilya Sergey Milos Gligoric Yale-NUS College University of Texas at Austin and [email protected] National University of Singapore [email protected] Zachary Tatlock University of Washington [email protected] arXiv:2003.06458v1 [cs.LO] 13 Mar 2020 Errata for the present version of this paper may be found online at https://proofengineering.org/qed_errata.html The version of record is available at: http://dx.doi.org/10.1561/2500000045 Contents 1 Introduction 103 1.1 Challenges at Scale . 104 1.2 Scope: Domain and Literature . 105 1.3 Overview . 106 1.4 Reading Guide . 106 2 Proof Engineering by Example 108 3 Why Proof Engineering Matters 111 3.1 Proof Engineering for Program Verification . 112 3.2 Proof Engineering for Other Domains . 117 3.3 Practical Impact . 124 4 Foundations and Trusted Bases 126 4.1 Proof Assistant Pre-History . 126 4.2 Proof Assistant Early History . 129 4.3 Proof Assistant Foundations . 130 4.4 Trusted Computing Bases of Proofs and Programs . 137 5 Between the Engineer and the Kernel: Languages and Automation 141 5.1 Styles of Automation . 142 5.2 Automation in Practice . 156 The version of record is available at: http://dx.doi.org/10.1561/2500000045 6 Proof Organization and Scalability 162 6.1 Property Specification and Encodings . -
MTS on Wikipedia Snapshot Taken 9 January 2011
MTS on Wikipedia Snapshot taken 9 January 2011 PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sun, 09 Jan 2011 13:08:01 UTC Contents Articles Michigan Terminal System 1 MTS system architecture 17 IBM System/360 Model 67 40 MAD programming language 46 UBC PLUS 55 Micro DBMS 57 Bruce Arden 58 Bernard Galler 59 TSS/360 60 References Article Sources and Contributors 64 Image Sources, Licenses and Contributors 65 Article Licenses License 66 Michigan Terminal System 1 Michigan Terminal System The MTS welcome screen as seen through a 3270 terminal emulator. Company / developer University of Michigan and 7 other universities in the U.S., Canada, and the UK Programmed in various languages, mostly 360/370 Assembler Working state Historic Initial release 1967 Latest stable release 6.0 / 1988 (final) Available language(s) English Available programming Assembler, FORTRAN, PL/I, PLUS, ALGOL W, Pascal, C, LISP, SNOBOL4, COBOL, PL360, languages(s) MAD/I, GOM (Good Old Mad), APL, and many more Supported platforms IBM S/360-67, IBM S/370 and successors History of IBM mainframe operating systems On early mainframe computers: • GM OS & GM-NAA I/O 1955 • BESYS 1957 • UMES 1958 • SOS 1959 • IBSYS 1960 • CTSS 1961 On S/360 and successors: • BOS/360 1965 • TOS/360 1965 • TSS/360 1967 • MTS 1967 • ORVYL 1967 • MUSIC 1972 • MUSIC/SP 1985 • DOS/360 and successors 1966 • DOS/VS 1972 • DOS/VSE 1980s • VSE/SP late 1980s • VSE/ESA 1991 • z/VSE 2005 Michigan Terminal System 2 • OS/360 and successors -
The UNIX Time- Sharing System
1. Introduction There have been three versions of UNIX. The earliest version (circa 1969–70) ran on the Digital Equipment Cor- poration PDP-7 and -9 computers. The second version ran on the unprotected PDP-11/20 computer. This paper describes only the PDP-11/40 and /45 [l] system since it is The UNIX Time- more modern and many of the differences between it and older UNIX systems result from redesign of features found Sharing System to be deficient or lacking. Since PDP-11 UNIX became operational in February Dennis M. Ritchie and Ken Thompson 1971, about 40 installations have been put into service; they Bell Laboratories are generally smaller than the system described here. Most of them are engaged in applications such as the preparation and formatting of patent applications and other textual material, the collection and processing of trouble data from various switching machines within the Bell System, and recording and checking telephone service orders. Our own installation is used mainly for research in operating sys- tems, languages, computer networks, and other topics in computer science, and also for document preparation. UNIX is a general-purpose, multi-user, interactive Perhaps the most important achievement of UNIX is to operating system for the Digital Equipment Corpora- demonstrate that a powerful operating system for interac- tion PDP-11/40 and 11/45 computers. It offers a number tive use need not be expensive either in equipment or in of features seldom found even in larger operating sys- human effort: UNIX can run on hardware costing as little as tems, including: (1) a hierarchical file system incorpo- $40,000, and less than two man years were spent on the rating demountable volumes; (2) compatible file, device, main system software. -
Oral History of Brian Kernighan
Oral History of Brian Kernighan Interviewed by: John R. Mashey Recorded April 24, 2017 Princeton, NJ CHM Reference number: X8185.2017 © 2017 Computer History Museum Oral History of Brian Kernighan Mashey: Well, hello, Brian. It’s great to see you again. Been a long time. So we’re here at Princeton, with Brian Kernighan, and we want to go do a whole oral history with him. So why don’t we start at the beginning. As I recall, you’re Canadian. Kernighan: That is right. I was born in Toronto long ago, and spent my early years in the city of Toronto. Moved west to a small town, what was then a small town, when I was in the middle of high school, and then went to the University of Toronto for my undergraduate degree, and then came here to Princeton for graduate school. Mashey: And what was your undergraduate work in? Kernighan: It was in one of these catch-all courses called Engineering Physics. It was for people who were kind of interested in engineering and math and science and didn’t have a clue what they wanted to actually do. Mashey: <laughs> So how did you come to be down here? Kernighan: I think it was kind of an accident. It was relatively unusual for people from Canada to wind up in the United States for graduate school at that point, but I thought I would try something different and so I applied to six or seven different schools in the United States, got accepted at some of them, and then it was a question of balancing things like, “Well, they promised that they would get you out in a certain number of years and they promised that they would give you money,” but the question is whether, either that was true or not and I don’t know. -
Regular Expression Matching Can Be Simple A
Regular Expression Matching Can Be Simple A... https://swtch.com/~rsc/regexp/regexp1.html Regular Expression Matching Can Be Simple And Fast (but is slow in Java, Perl, PHP, Python, Ruby, ...) Russ Cox [email protected] January 2007 Introduction This is a tale of two approaches to regular expression matching. One of them is in widespread use in the standard interpreters for many languages, including Perl. The other is used only in a few places, notably most implementations of awk and grep. The two approaches have wildly different performance characteristics: Time to match a?nan against an Let's use superscripts to denote string repetition, so that a?3a3 is shorthand for a?a?a?aaa. The two graphs plot the time required by each approach to match the regular expression a?nan against the string an. Notice that Perl requires over sixty seconds to match a 29-character string. The other approach, labeled Thompson NFA for reasons that will be explained later, requires twenty microseconds to match the string. That's not a typo. The Perl graph plots time in seconds, while the Thompson NFA graph plots time in microseconds: the Thompson NFA implementation is a million times faster than Perl when running on a miniscule 29-character string. The trends shown in the graph continue: the Thompson NFA handles a 100-character string in under 200 microseconds, while Perl would require over 1015 years. (Perl is only the most conspicuous example of a large number of popular programs that use the same algorithm; the above graph could have been Python, or PHP, or Ruby, or many other languages.