Rx for Semantics∗
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Toward a Mathematical Semantics for Computer Languages
(! 1 J TOWARD A MATHEMATICAL SEMANTICS FOR COMPUTER LANGUAGES by Dana Scott and - Christopher Strachey Oxford University Computing Laboratory Programming Research Group-Library 8-11 Keble Road Oxford OX, 3QD Oxford (0865) 54141 Oxford University Computing Laboratory Programming Research Group tI. cr• "';' """, ":.\ ' OXFORD UNIVERSITY COMPUTING LABORATORY PROGRAMMING RESEARCH GROUP ~ 4S BANBURY ROAD \LJ OXFORD ~ .. 4 OCT 1971 ~In (UY'Y L TOWARD A ~ATHEMATICAL SEMANTICS FOR COMPUTER LANGUAGES by Dana Scott Princeton University and Christopher Strachey Oxford University Technical Monograph PRG-6 August 1971 Oxford University Computing Laboratory. Programming Research Group, 45 Banbury Road, Oxford. ~ 1971 Dana Scott and Christopher Strachey Department of Philosophy, Oxford University Computing Laboratory. 1879 lIall, Programming Research Group. Princeton University, 45 Banbury Road. Princeton. New Jersey 08540. Oxford OX2 6PE. This pape r is also to appear in Fl'(.'ceedinBs 0;- the .';y-,;;;o:illT:: on ComputeT's and AutoJ7'ata. lo-licroloo'ave Research Institute Symposia Series Volume 21. Polytechnic Institute of Brooklyn. and appears as a Technical Monograph by special aJ"rangement ...·ith the publishers. RefeJ"~nces in the Ii terature should be:- made to the _"!'OL·,-,',~;r:gs, as the texts are identical and the Symposia Sl?ries is gcaerally available in libraries. ABSTRACT Compilers for high-level languages aTe generally constructed to give the complete translation of the programs into machme language. As machines merely juggle bit patterns, the concepts of the original language may be lost or at least obscured during this passage. The purpose of a mathematical semantics is to give a correct and meaningful correspondence between programs and mathematical entities in a way that is entirely independent of an implementation. -
Why Mathematical Proof?
Why Mathematical Proof? Dana S. Scott, FBA, FNAS University Professor Emeritus Carnegie Mellon University Visiting Scholar University of California, Berkeley NOTICE! The author has plagiarized text and graphics from innumerable publications and sites, and he has failed to record attributions! But, as this lecture is intended as an entertainment and is not intended for publication, he regards such copying, therefore, as “fair use”. Keep this quiet, and do please forgive him. A Timeline for Geometry Some Greek Geometers Thales of Miletus (ca. 624 – 548 BC). Pythagoras of Samos (ca. 580 – 500 BC). Plato (428 – 347 BC). Archytas (428 – 347 BC). Theaetetus (ca. 417 – 369 BC). Eudoxus of Cnidus (ca. 408 – 347 BC). Aristotle (384 – 322 BC). Euclid (ca. 325 – ca. 265 BC). Archimedes of Syracuse (ca. 287 – ca. 212 BC). Apollonius of Perga (ca. 262 – ca. 190 BC). Claudius Ptolemaeus (Ptolemy)(ca. 90 AD – ca. 168 AD). Diophantus of Alexandria (ca. 200 – 298 AD). Pappus of Alexandria (ca. 290 – ca. 350 AD). Proclus Lycaeus (412 – 485 AD). There is no Royal Road to Geometry Euclid of Alexandria ca. 325 — ca. 265 BC Euclid taught at Alexandria in the time of Ptolemy I Soter, who reigned over Egypt from 323 to 285 BC. He authored the most successful textbook ever produced — and put his sources into obscurity! Moreover, he made us struggle with proofs ever since. Why Has Euclidean Geometry Been So Successful? • Our naive feeling for space is Euclidean. • Its methods have been very useful. • Euclid also shows us a mysterious connection between (visual) intuition and proof. The Pythagorean Theorem Euclid's Elements: Proposition 47 of Book 1 The Pythagorean Theorem Generalized If it holds for one Three triple, Similar it holds Figures for all. -
Latest Results from the Procedure Calling Test, Ackermann's Function
Latest results from the procedure calling test, Ackermann’s function B A WICHMANN National Physical Laboratory, Teddington, Middlesex Division of Information Technology and Computing March 1982 Abstract Ackermann’s function has been used to measure the procedure calling over- head in languages which support recursion. Two papers have been written on this which are reproduced1 in this report. Results from further measurements are in- cluded in this report together with comments on the data obtained and codings of the test in Ada and Basic. 1 INTRODUCTION In spite of the two publications on the use of Ackermann’s Function [1, 2] as a mea- sure of the procedure-calling efficiency of programming languages, there is still some interest in the topic. It is an easy test to perform and the large number of results ob- tained means that an implementation can be compared with many other systems. The purpose of this report is to provide a listing of all the results obtained to date and to show their relationship. Few modern languages do not provide recursion and hence the test is appropriate for measuring the overheads of procedure calls in most cases. Ackermann’s function is a small recursive function listed on page 2 of [1] in Al- gol 60. Although of no particular interest in itself, the function does perform other operations common to much systems programming (testing for zero, incrementing and decrementing integers). The function has two parameters M and N, the test being for (3, N) with N in the range 1 to 6. Like all tests, the interpretation of the results is not without difficulty. -
The Origins of Structural Operational Semantics
The Origins of Structural Operational Semantics Gordon D. Plotkin Laboratory for Foundations of Computer Science, School of Informatics, University of Edinburgh, King’s Buildings, Edinburgh EH9 3JZ, Scotland I am delighted to see my Aarhus notes [59] on SOS, Structural Operational Semantics, published as part of this special issue. The notes already contain some historical remarks, but the reader may be interested to know more of the personal intellectual context in which they arose. I must straightaway admit that at this distance in time I do not claim total accuracy or completeness: what I write should rather be considered as a reconstruction, based on (possibly faulty) memory, papers, old notes and consultations with colleagues. As a postgraduate I learnt the untyped λ-calculus from Rod Burstall. I was further deeply impressed by the work of Peter Landin on the semantics of pro- gramming languages [34–37] which includes his abstract SECD machine. One should also single out John McCarthy’s contributions [45–48], which include his 1962 introduction of abstract syntax, an essential tool, then and since, for all approaches to the semantics of programming languages. The IBM Vienna school [42, 41] were interested in specifying real programming languages, and, in particular, worked on an abstract interpreting machine for PL/I using VDL, their Vienna Definition Language; they were influenced by the ideas of McCarthy, Landin and Elgot [18]. I remember attending a seminar at Edinburgh where the intricacies of their PL/I abstract machine were explained. The states of these machines are tuples of various kinds of complex trees and there is also a stack of environments; the transition rules involve much tree traversal to access syntactical control points, handle jumps, and to manage concurrency. -
ALGOL 60 Programming on the Decsystem 10.Pdf
La Trobe University DEPARTMENT OF MATHEMATICS ALGOL 60 Programming on the DECSystem 10 David Woodhouse Revised, August 1975 MELBOURNE, AUSTRALIA ALGOL 60 Programming on the DECSystem 10 David Woodhouse Revised, August 1975 CE) David Woodhouse National Library of Australia card number and ISBN. ISBN 0 85816 066 8 INTRODUCTION This text is intended as a complete primer on ALGOL 60 programming. It refers specifically to Version 4 of the DECSystem 10 implementation. However, it avoids idiosyncracies as far as possible, and so should be useful in learning the language on other machines. The few features in the DEC ALGOL manual which are not mentioned here should not be needed until the student is sufficiently advanced to be using this text for reference only. Exercises at the end of each chapter illustrate the concepts introduced therein, and full solutions are given. I should like to thank Mrs. K. Martin and Mrs. M. Wallis for their patient and careful typing. D. Woodhouse, February, 1975. CONTENTS Chapter 1 : High-level languages 1 Chapter 2: Languagt! struct.ure c.f ALGOL 6n 3 Chapter 3: Statemp.nts: the se'1tences {'\f the language 11 Chapter 4: 3tandard functions 19 Chapter 5: Input an~ Outp~t 21 Chapter 6: l>rray~ 31 Chapter 7 : For ane! ~hil~ statements 34 Chapter 8: Blocks anr! ',: ock sc rll,~ turr. 38 Chapter 9: PrOCe(:l1-:-~S 42 Chapter 10: Strin2 vp·jaLlps 60 Chapter 11: Own v~rj;lI'.i..es clOd s~itc.hef, 64 Chapter 12: Running ~nd ,;ebllggi"1g 67 Bibliography 70 Solutions to Exercises 71 Appendix 1 : Backus NOlUlaj F\:q'm 86 Appendix 2 : ALGuL-like languages 88 Appenclix 3. -
Actor Model of Computation
Published in ArXiv http://arxiv.org/abs/1008.1459 Actor Model of Computation Carl Hewitt http://carlhewitt.info This paper is dedicated to Alonzo Church and Dana Scott. The Actor model is a mathematical theory that treats “Actors” as the universal primitives of concurrent digital computation. The model has been used both as a framework for a theoretical understanding of concurrency, and as the theoretical basis for several practical implementations of concurrent systems. Unlike previous models of computation, the Actor model was inspired by physical laws. It was also influenced by the programming languages Lisp, Simula 67 and Smalltalk-72, as well as ideas for Petri Nets, capability-based systems and packet switching. The advent of massive concurrency through client- cloud computing and many-core computer architectures has galvanized interest in the Actor model. An Actor is a computational entity that, in response to a message it receives, can concurrently: send a finite number of messages to other Actors; create a finite number of new Actors; designate the behavior to be used for the next message it receives. There is no assumed order to the above actions and they could be carried out concurrently. In addition two messages sent concurrently can arrive in either order. Decoupling the sender from communications sent was a fundamental advance of the Actor model enabling asynchronous communication and control structures as patterns of passing messages. November 7, 2010 Page 1 of 25 Contents Introduction ............................................................ 3 Fundamental concepts ............................................ 3 Illustrations ............................................................ 3 Modularity thru Direct communication and asynchrony ............................................................. 3 Indeterminacy and Quasi-commutativity ............... 4 Locality and Security ............................................ -
The Discoveries of Continuations
LISP AND SYMBOLIC COMPUTATION: An InternationM JournM, 6, 233-248, 1993 @ 1993 Kluwer Academic Publishers - Manufactured in The Nett~eriands The Discoveries of Continuations JOHN C. REYNOLDS ( [email protected] ) School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213-3890 Keywords: Semantics, Continuation, Continuation-Passing Style Abstract. We give a brief account of the discoveries of continuations and related con- cepts by A. van Vv'ijngaarden, A. W. Mazurkiewicz, F. L. Morris, C. P. Wadsworth. J. H. Morris, M. J. Fischer, and S. K. Abdali. In the early history of continuations, basic concepts were independently discovered an extraordinary number of times. This was due less to poor communication among computer scientists than to the rich variety of set- tings in which continuations were found useful: They underlie a method of program transformation (into continuation-passing style), a style of def- initionM interpreter (defining one language by an interpreter written in another language), and a style of denotational semantics (in the sense of Scott and Strachey). In each of these settings, by representing "the mean- ing of the rest of the program" as a function or procedure, continnations provide an elegant description of a variety of language constructs, including call by value and goto statements. 1. The Background In the early 1960%, the appearance of Algol 60 [32, 33] inspired a fi~rment of research on the implementation and formal definition of programming languages. Several aspects of this research were critical precursors of the discovery of continuations. The ability in Algol 60 to jump out of blocks, or even procedure bod- ies, forced implementors to realize that the representation of a label must include a reference to an environment. -
Michael Oser Rabin Automata, Logic and Randomness in Computation
Michael Oser Rabin Automata, Logic and Randomness in Computation Luca Aceto ICE-TCS, School of Computer Science, Reykjavik University Pearls of Computation, 6 November 2015 \One plus one equals zero. We have to get used to this fact of life." (Rabin in a course session dated 30/10/1997) Thanks to Pino Persiano for sharing some anecdotes with me. Luca Aceto The Work of Michael O. Rabin 1 / 16 Michael Rabin's accolades Selected awards and honours Turing Award (1976) Harvey Prize (1980) Israel Prize for Computer Science (1995) Paris Kanellakis Award (2003) Emet Prize for Computer Science (2004) Tel Aviv University Dan David Prize Michael O. Rabin (2010) Dijkstra Prize (2015) \1970 in computer science is not classical; it's sort of ancient. Classical is 1990." (Rabin in a course session dated 17/11/1998) Luca Aceto The Work of Michael O. Rabin 2 / 16 Michael Rabin's work: through the prize citations ACM Turing Award 1976 (joint with Dana Scott) For their joint paper \Finite Automata and Their Decision Problems," which introduced the idea of nondeterministic machines, which has proved to be an enormously valuable concept. ACM Paris Kanellakis Award 2003 (joint with Gary Miller, Robert Solovay, and Volker Strassen) For \their contributions to realizing the practical uses of cryptography and for demonstrating the power of algorithms that make random choices", through work which \led to two probabilistic primality tests, known as the Solovay-Strassen test and the Miller-Rabin test". ACM/EATCS Dijkstra Prize 2015 (joint with Michael Ben-Or) For papers that started the field of fault-tolerant randomized distributed algorithms. -
A Memorable Trip Abhisekh Sankaran Research Scholar, IIT Bombay
A Memorable Trip Abhisekh Sankaran Research Scholar, IIT Bombay It was my first trip to the US. It had not yet sunk in that I had been chosen by ACM India as one of two Ph.D. students from India to attend the big ACM Turing Centenary Celebration in San Francisco until I saw the familiar face of Stephen Cook enter a room in the hotel a short distance from mine; later, Moshe Vardi recognized me from his trip to IITB during FSTTCS, 2011. I recognized Nitin Saurabh from IMSc Chennai, the other student chosen by ACM-India; 11 ACM SIG©s had sponsored students and there were about 75 from all over the world. Registration started at 8am on 15th June, along with breakfast. Collecting my ©Student Scholar© badge and stuffing in some food, I entered a large hall with several hundred seats, a brightly lit podium with a large screen in the middle flanked by two others. The program began with a video giving a brief biography of Alan Turing from his boyhood to the dynamic young man who was to change the world forever. There were inaugural speeches by John White, CEO of ACM, and Vint Cerf, the 2004 Turing Award winner and incoming ACM President. The MC for the event, Paul Saffo, took over and the panel discussions and speeches commenced. A live Twitter feed made it possible for people in the audience and elsewhere to post questions/comments which were actually taken up in the discussions. Of the many sessions that took place in the next two days, I will describe three that I found most interesting. -
A Brief Scientific Biography of Robin Milner
A Brief Scientific Biography of Robin Milner Gordon Plotkin, Colin Stirling & Mads Tofte Robin Milner was born in 1934 to John Theodore Milner and Muriel Emily Milner. His father was an infantry officer and at one time commanded the Worcestershire Regiment. During the second world war the family led a nomadic existence in Scotland and Wales while his father was posted to different parts of the British Isles. In 1942 Robin went to Selwyn House, a boarding Preparatory School which is normally based in Broadstairs, Kent but was evacuated to Wales until the end of the war in 1945. In 1947 Robin won a scholarship to Eton College, a public school whose fees were a long way beyond the family’s means; fortunately scholars only paid what they could afford. While there he learned how to stay awake all night solving mathematics problems. (Scholars who specialised in maths were expected to score 100% on the weekly set of problems, which were tough.) In 1952 he won a major scholarship to King’s College, Cambridge, sitting the exam in the Examinations Hall which is 100 yards from his present office. However, before going to Cambridge he did two years’ national military service in the Royal Engineers, gaining a commission as a second lieutenant (which relieved his father, who rightly suspected that Robin might not be cut out to be an army officer). By the time he went to Cambridge in 1954 Robin had forgotten a lot of mathematics; but nevertheless he gained a first-class degree after two years (by omitting Part I of the Tripos). -
A History of C++: 1979− 1991
A History of C++: 1979−1991 Bjarne Stroustrup AT&T Bell Laboratories Murray Hill, New Jersey 07974 ABSTRACT This paper outlines the history of the C++ programming language. The emphasis is on the ideas, constraints, and people that shaped the language, rather than the minutiae of language features. Key design decisions relating to language features are discussed, but the focus is on the overall design goals and practical constraints. The evolution of C++ is traced from C with Classes to the current ANSI and ISO standards work and the explosion of use, interest, commercial activity, compilers, tools, environments, and libraries. 1 Introduction C++ was designed to provide Simula’s facilities for program organization together with C’s effi- ciency and flexibility for systems programming. It was intended to deliver that to real projects within half a year of the idea. It succeeded. At the time, I realized neither the modesty nor the preposterousness of that goal. The goal was modest in that it did not involve innovation, and preposterous in both its time scale and its Draco- nian demands on efficiency and flexibility. While a modest amount of innovation did emerge over the years, efficiency and flexibility have been maintained without compromise. While the goals for C++ have been refined, elaborated, and made more explicit over the years, C++ as used today directly reflects its original aims. This paper is organized in roughly chronological order: §2 C with Classes: 1979– 1983. This section describes the fundamental design decisions for C++ as they were made for C++’s immediate predecessor. §3 From C with Classes to C++: 1982– 1985. -
The BCPL Cintsys and Cintpos User Guide by Martin Richards [email protected]
The BCPL Cintsys and Cintpos User Guide by Martin Richards [email protected] http://www.cl.cam.ac.uk/users/mr10/ Computer Laboratory University of Cambridge Revision date: Thu 19 Aug 16:16:54 BST 2021 Abstract BCPL is a simple systems programming language with a small fast compiler which is easily ported to new machines. The language was first implemented in 1967 and has been in continuous use since then. It is a typeless and provides machine independent pointer arithmetic allowing a simple way to represent vectors and structures. BCPL functions are recursive and variadic but, like C, do not allow dynamic free variables, and so can be represented by just their entry addresses. There is no built-in garbage collector and all input-output is done using library calls. This document describes both the single threaded BCPL Cintcode System (called Cintsys) and the Cintcode version of the Tripos portable operating system (called Cintpos). It gives a definition of the standard BCPL language including the recently added features such as floating point expressions and constructs involving operators such as <> and op:=. This manual describes an extended version of BCPL that include some of the features of MCPL, mainly concerning the pattern matching used in function definitions. This version can be compiled using the mbcpl command. This manual also describes the standard library and running environment. The native code version of the system based on Sial and the Cintpos portable operating system are also described. Installation instructions are included. Since May 2013, the standard BCPL distribution supports both 32 and 64 bit Cintcode versions.