The LISP Machine Macro-Instruction Set
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The Evolution of Lisp
1 The Evolution of Lisp Guy L. Steele Jr. Richard P. Gabriel Thinking Machines Corporation Lucid, Inc. 245 First Street 707 Laurel Street Cambridge, Massachusetts 02142 Menlo Park, California 94025 Phone: (617) 234-2860 Phone: (415) 329-8400 FAX: (617) 243-4444 FAX: (415) 329-8480 E-mail: [email protected] E-mail: [email protected] Abstract Lisp is the world’s greatest programming language—or so its proponents think. The structure of Lisp makes it easy to extend the language or even to implement entirely new dialects without starting from scratch. Overall, the evolution of Lisp has been guided more by institutional rivalry, one-upsmanship, and the glee born of technical cleverness that is characteristic of the “hacker culture” than by sober assessments of technical requirements. Nevertheless this process has eventually produced both an industrial- strength programming language, messy but powerful, and a technically pure dialect, small but powerful, that is suitable for use by programming-language theoreticians. We pick up where McCarthy’s paper in the first HOPL conference left off. We trace the development chronologically from the era of the PDP-6, through the heyday of Interlisp and MacLisp, past the ascension and decline of special purpose Lisp machines, to the present era of standardization activities. We then examine the technical evolution of a few representative language features, including both some notable successes and some notable failures, that illuminate design issues that distinguish Lisp from other programming languages. We also discuss the use of Lisp as a laboratory for designing other programming languages. We conclude with some reflections on the forces that have driven the evolution of Lisp. -
Programming Languages As Operating Systems (Or Revenge of the Son of the Lisp Machine)
Programming Languages as Operating Systems (or Revenge of the Son of the Lisp Machine) Matthew Flatt Robert Bruce Findler Shriram Krishnamurthi Matthias Felleisen Department of Computer Science∗ Rice University Houston, Texas 77005-1892 Abstract reclaim the program’s resources—even though the program and DrScheme share a single virtual machine. The MrEd virtual machine serves both as the implementa- To address this problem, MrEd provides a small set of tion platform for the DrScheme programming environment, new language constructs. These constructs allow a program- and as the underlying Scheme engine for executing expres- running program, such as DrScheme, to run nested programs sions and programs entered into DrScheme’s read-eval-print directly on the MrEd virtual machine without sacrificing loop. We describe the key elements of the MrEd virtual control over the nested programs. As a result, DrScheme machine for building a programming environment, and we can execute a copy of DrScheme that is executing its own step through the implementation of a miniature version of copy of DrScheme (see Figure 1). The inner and middle DrScheme in MrEd. More generally, we show how MrEd de- DrSchemes cannot interfere with the operation of the outer fines a high-level operating system for graphical programs. DrScheme, and the middle DrScheme cannot interfere with the outer DrScheme’s control over the inner DrScheme. 1 MrEd: A Scheme Machine In this paper, we describe the key elements of the MrEd virtual machine, and we step through the implementation The DrScheme programming environment [10] provides stu- of a miniature version of DrScheme in MrEd. -
Symbolics Architecture
Symbolics Architecture David A. Moon Symbolics, Inc. W hat is an architecture? In com- languages, user interface, and operating This architecture puter systems, an architecture system. System architecture defines the rapid is a specification of an inter- product that people actually use; the other enables face. To be dignified by the name architec- levels of architecture define the mecha- development and ture, an interface should be designed for a nism underneath that implements it. Sys- long lifespan and should connect system tem architecture is implemented by soft- efficient execution of components maintained by different orga- ware; hardware only sets bounds on what large, ambitious nizations. Often an architecture is part ofa is possible. System architecture defines the product definition and defines character- motivation for most of the design choices applications. An istics on which purchasers of that product at the other levels ofarchitecture. This sec- rely, but this is not true of everything that tion is an overview of Symbolics system unconventional design is called an architecture. An architecture is architecture. avoids trading off more formal than an internal interface be- The Symbolics system presents itself to tween closely-related system components, the user through a high-resolution bitmap safety for speed. and has farther-reaching effects on system display. In addition to text and graphics, characteristics and performance. the display contains presentations of ob- A computer system typically contains jects. The user operates on the objects by many levels and types ofarchitecture. This manipulating the presentations with a article discusses three architectures de- mouse. The display includes a continuous- fined in Symbolics computers: ly updated reminder of the mouse com- (1) System architecture-defines how mands applicable to the current context. -
The Lisp Machine: Noble Experiment Or Fabulous Failure?
THE LISP MACHINE: NOBLE EXPERIMENT OR FABULOUS FAILURE? P. T. Withington Symbolics, Inc. The “Lisp Machine”, a custom computer oriented programming, integrated pro- work-station designed specifically for the gramming environments, computer music, execution of Lisp, has been an important integrated-circuit design, and of course part of the Lisp tradition for 20 years. Artificial Intelligence (AI). Recently, the Lisp Machine has been depre- cated in view of the demise of many Lisp But, Lisp’s purity did not come without a Machine vendors, the swing towards stan- price. The choice by many languages to dardization, and the advances that reduced expose implementational limitations is often instruction set (RISC) architectures have a choice of efficiency. The speed of the brought. But rumors of its death are greatly normal case is optimized at the risk of the exaggerated. abnormal case going undetected. Lisp, on the other hand, guarantees the unusual as Unlike most commercial computer lan- well as the usual will be dealt with uni- guages, Lisp has always been a language of formly. It must always be on its guard: ideals. Its roots are in the theory of lambda- every operation must be checked for excep- calculus. Whereas other languages burden tions. As a consequence, Lisp on conven- the programmer with implementational gaps tional machines has historically been pon- in their abstractions, Lisp has always had the derous to work with. aim of supporting complete abstractions.1 This idealistic bent of Lisp has led to it often In the early 1970’s several groups of being the language of choice for computer- researchers utilized two novel hardware oriented research in universities and indus- technologies to improve the efficiency of try. -
A Lisp Oriented Architecture by John W.F
A Lisp Oriented Architecture by John W.F. McClain Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degrees of Master of Science in Electrical Engineering and Computer Science and Bachelor of Science in Electrical Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 1994 © John W.F. McClain, 1994 The author hereby grants to MIT permission to reproduce and to distribute copies of this thesis document in whole or in part. Signature of Author ...... ;......................... .............. Department of Electrical Engineering and Computer Science August 5th, 1994 Certified by....... ......... ... ...... Th nas F. Knight Jr. Principal Research Scientist 1,,IA £ . Thesis Supervisor Accepted by ....................... 3Frederic R. Morgenthaler Chairman, Depattee, on Graduate Students J 'FROM e ;; "N MfLIT oARIES ..- A Lisp Oriented Architecture by John W.F. McClain Submitted to the Department of Electrical Engineering and Computer Science on August 5th, 1994, in partial fulfillment of the requirements for the degrees of Master of Science in Electrical Engineering and Computer Science and Bachelor of Science in Electrical Engineering Abstract In this thesis I describe LOOP, a new architecture for the efficient execution of pro- grams written in Lisp like languages. LOOP allows Lisp programs to run at high speed without sacrificing safety or ease of programming. LOOP is a 64 bit, long in- struction word architecture with support for generic arithmetic, 64 bit tagged IEEE floats, low cost fine grained read and write barriers, and fast traps. I make estimates for how much these Lisp specific features cost and how much they may speed up the execution of programs written in Lisp. -
' MACSYMA Users' Conference
' MACSYMA Users'Conference Held at University of California Berkeley, California July 27-29, 1977 I TECH LIBRARY KAFB, NY NASA CP-2012 Proceedings of the 1977 MACSYMA Users’ Conference Sponsored by Massachusetts Institute of Technology, University of California at Berkeley, NASA Langley Research Center and held at Berkeley, California July 27-29, 1977 Scientific and TechnicalInformation Office 1977 NATIONALAERONAUTICS AND SPACE ADMINISTRATION NA5A Washington, D.C. FOREWORD The technical programof the 1977 MACSPMA Users' Conference, held at Berkeley,California, from July 27 to July 29, 1977, consisted of the 45 contributedpapers reported in.this publicationand of a workshop.The work- shop was designed to promote an exchange of information between implementers and users of the MACSYMA computersystem and to help guide future developments. I The response to the call for papers has well exceeded the early estimates of the conference organizers; and the high quality and broad ra.ngeof topics of thepapers submitted has been most satisfying. A bibliography of papers concerned with the MACSYMA system is included at the endof this publication. We would like to thank the members of the programcommittee, the many referees, and the secretarial and technical staffs at the University of California at Berkeley and at the Laboratory for Computer Science, Massachusetts Instituteof Technology, for shepherding the many papersthrough the submission- to-publicationprocess. We are especiallyappreciative of theburden. carried by .V. Ellen Lewis of M. I. T. for serving as expert in document preparation from computer-readableto camera-ready copy for several papers. This conference originated as the result of an organizing session called by Joel Moses of M.I.T. -
History of the Lisp Language
History of the Lisp Language History of the Lisp Language The following information is derived from the history section of dpANS Common Lisp. Lisp is a family of languages with a long history. Early key ideas in Lisp were developed by John McCarthy during the 1956 Dartmouth Summer Research Project on Artificial Intelligence. McCarthy’s motivation was to develop an algebraic list processing language for artificial intelligence work. Implementation efforts for early dialects of Lisp were undertaken on the IBM 704, the IBM 7090, the Digital Equipment Corporation (DEC) PDP−1, the DEC PDP−6, and the PDP−10. The primary dialect of Lisp between 1960 and 1965 was Lisp 1.5. By the early 1970’s there were two predominant dialects of Lisp, both arising from these early efforts: MacLisp and Interlisp. For further information about very early Lisp dialects, see The Anatomy of Lisp or Lisp 1.5 Programmer’s Manual. MacLisp improved on the Lisp 1.5 notion of special variables and error handling. MacLisp also introduced the concept of functions that could take a variable number of arguments, macros, arrays, non−local dynamic exits, fast arithmetic, the first good Lisp compiler, and an emphasis on execution speed. For further information about Maclisp, see Maclisp Reference Manual, Revision 0 or The Revised Maclisp Manual. Interlisp introduced many ideas into Lisp programming environments and methodology. One of the Interlisp ideas that influenced Common Lisp was an iteration construct implemented by Warren Teitelman that inspired the loop macro used both on the Lisp Machines and in MacLisp, and now in Common Lisp. -
Genera User's Guide Overview of Symbolics Computers
Genera User’s Guide Overview of Symbolics Computers Documentation Notation Conventions Modifier Key Conventions Modifier keys are designed to be held down while pressing other keys. They do not themselves transmit characters. A combined keystroke like META-X is pronounced "meta x" and written as m-X.This notation means thatyou press the META key and, whileholdingitdown,presstheXkey. Modifierkeysareabbreviatedasfollows: CONTROL c- META m- SUPER s- HYPER h- SHIFT sh- SYMBOL sy- Modifier keys can be used in combination, as well as singly.Forexample, the nota tion c-m-Y indicates that you should hold down both the CONTROL and the META keyswhilepressingY. Modifier keys can also be used, both singly and in combination, to modify mouse commands. For example, the notation sh-Left means hold down the SHIFT key while clicking Left on the mouse and c-m-Middle means hold down CONTROL and METAwhileclickingMiddle. The keys with white lettering (like X or SELECT) all transmit characters. Combina tions of these keys should be pressed in sequence, one after the other (for exam ple, SELECT L). This notation means that you press the SELECT key, release it, and thenpresstheLkey. LOCAL is an exception to this rule. Despite its white lettering, you must hold it down while pressing another key, or it has no effect. For example, to brighten the imageonyourmonitor,youwouldholddown LOCALwhilepressingB. Page 2736 Documentation Conventions Thisdocumentationusesthefollowingnotationconventions: cond,zl:hostat PrintedrepresentationofLispobjectsinrunningtext. RETURN,ABORT,c-F keysontheSymbolicsKeyboard. SPACE Spacebar. login Literaltypein. (make-symbol "foo") Lispcodeexamples. (function-name arg1 &optionalarg2) Syntaxdescriptionoftheinvocationoffunction-name. arg1 Argument to the function function-name, usually ex pressed as a word that reflects the type of argument (forexample,string). -
The Symbolics Virtual Lisp Machine Or Using the Dec Alpha As a Programmable Micro-Engine1
THE SYMBOLICS VIRTUAL LISP MACHINE OR USING THE DEC ALPHA AS A PROGRAMMABLE MICRO-ENGINE 1 (EXTENDED ABSTRACT) P.T. Withington, Scott McKay, Gary Palter 2 Symbolics Inc. 6 Concord Farms Concord, MA 01742-2727, U.S.A. [email protected] 1+ 508 287 1000 Paul Robertson 2 Dynamic Object Language Group 2 Parsonage Hill Haverhill, MA 01832, U.S.A. specifically to execute the Lisp language. INTRODUCTION12 Because of the limited market, this custom hardware has never been able to take advantage Symbolics’ Genera system represents the accu- of cutting-edge technology such as is available mulation of nearly three and a half decades of in commodity, RISC-based workstations. At the software engineering tools, written in several same time, non-standard hardwares such as the dialects of the Lisp language and several object- Lisp Machine have fallen into economic oriented extensions to Lisp. Traditionally, disfavor. Nonetheless, Lisp’s (and the Lisp Genera has run on a “Lisp Machine”, a line of Machine’s) capability in prototyping, evolu- custom hardware workstations designed tionary problem solving, and super-complex problems has retained a small but dedicated market. 1Symbolics® and Genera® are registered trademarks and Virtual Lisp Machine™ and VLM™ are trademarks of In response to market pressure to provide Symbolics, Inc. DEC® is a registered trademark and Genera’s capabilities on commodity hardware, Alpha™ and AXP™ are trademarks of Digital Equipment Corporation. Symbolics chose to implement an “emulator” that would execute the Lisp Machine instruction 2Author’s electronic mail addresses are ptw@Riverside. set on a standard platform, rather than to port the SCRC.Symbolics.COM, [email protected]. -
Architecture of LISP Machines
Architecture of LISP Machines Kshitij Sudan March 6, 2008 A Short History Lesson … Alonzo Church and Stephen Kleene (1930) – λ Calculus ( to cleanly define "computable functions" ) John McCarthy (late 60’s) (used λ Calculus to describe the operation of a computing machine to prove theorems about computation) MIT → “Knights of the Lambda Calculus” MIT AI Lab (~1970’s) Symbolics and LMI “MacLisp” family Machines 1975 The CONS prototype (MIT) 1977 The CADR aka MIT Lisp Machine (MIT) 1980 LM-2 Symbolics Lisp Machine, repackage CADR LMI Lisp Machine same as CADR 1982 L-Machine - Symbolics 3600, later 3640, 3670 1983 LMI Lambda TI Explorer same as LMI Lambda 1984 G-Machine - Symbolics 3650 1986 LMI K-Machine 1987 I-Machine, Symbolics XL-400, Macivory I TI Explorer-II - u-Explorer 1988 Macivory II 1989 I-Machine, Symbolics XL-1200 , Macivory III 1990 XL1200, UX-1200 1991 MacIvory III 1992 Virtual Lisp Machine (aka Open Genera) I-machine compatible, running on DEC Alpha Agenda • History of LISP machines. • Semantic Models. • von Neumann model of computation. • Programming language to m/c architecture. • Architectural challenges. • The SECD abstract machine. • A brief case study. Semantic Models • The semantics of a piece of notation is it’s ultimate meaning. Imp. for programmer→ Imp. for language designer → Imp. for architects • Three major methods to describe and define semantics of programming languages: – Interpretive : meaning is expressed in terms of some simple abstract m/c. – Axiomatic : where rules describe data values given various objects before and after execution of various language features. – Denotational : syntactic pieces of program are mapped via evaluation functions into the abstract values they denote to humans. -
Lisp Lore : a Guide to Programming the Lisp Machine
LISP LORE: A GUIDE TO PROGRAMMING THE LISP MACHINE Hank Bromley ^g. LISP LORE: A GUIDE TO PROGRAMMING THE LISP MACHINE AT&T LISP LORE: A GUIDE TO PROGRAMMING THE LISP MACHINE by Hank Bromley AT&T Bell Laboratories W KLUWER ACADEMIC PUBLISHERS Boston/ Dordrecht/ Lancaster Distributors for North America: Kluwer Academic Publishers 101 Philip Drive Assinippi Park Norwell, Massachusetts 02061, USA Distributors for the UK and Ireland: Kluwer Academic Publishers MTP Press Limited Falcon House, Queen Square Lancaster LAI 1RN, UNITED KINGDOM Distributors for all other countries: Kluwer Academic Publishers Group Distribution Centre Post Office Box 322 3300 AH Dordrecht, THE NETHERLANDS Library of Congress Cataloging-in-Publication Data Bromley, Hank. Lisp lore. Includes index. 1. LISP (Computer program language) I. Title. QA76.73.L23B75 1986 005.133 86-7377 ISBN 0-89838-220-3 Copyright © 1986 by Bell Telephone Laboratories, Incorporated. Portions of this book are copyrighted by Symbolics, Inc. 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, mechanical, photocopying, recording, or otherwise, without the prior written permission of the publisher, Kluwer Academic Publishers, 101 Philip Drive, Assinippi Park, Norwell, Massachusetts 02061. Printed in the United States of America TABLE OF CONTENTS LIST OF FIGURES 5.1 1 7 TABLE OF CONTENTS 10.4 Messing with the mouse blinker 186 10.5 The :drop-icon method 187 10.6 Setting up the comtab 188 10.7 Getting in the -
Csc 372 [0.5Cm] Comparative Programming Languages [0.5Cm] 35
CSc 372 Comparative Programming Languages 35 : Scheme — History Department of Computer Science University of Arizona [email protected] Copyright c 2013 Christian Collberg 1/22 History of the Lisp Language http://www.apl.jhu.edu/~hall/text/Papers/Brief-History-of-Lisp.ps The following information is derived from the history section of dpANS Common Lisp. Lisp is a family of languages with a long history. Early key ideas in Lisp were developed by John McCarthy during the 1956 Dartmouth Summer Research Project on Artificial Intelligence. McCarthy’s motivation was to develop analgebraic list processing language for artificial intelligence work. Implementation efforts for early dialects of Lisp were undertaken on the IBM 704, the IBM 7090, the Digital Equipment Corporation (DEC) PDP-1, the DECPDP-6, and the PDP-10. The primary dialect of Lisp between 1960 and 1965 was Lisp 1.5. By the early 1970’s there were two predominant dialects of Lisp, both arising from these early efforts: MacLisp and Interlisp. Forfurther information about very early Lisp dialects, see The Anatomy of Lisp or Lisp 1.5 Programmer’s Manual. 2/22 History of the Lisp Language. MacLisp improved on the Lisp 1.5 notion of special variables and error handling. MacLisp also introduced theconcept of functions that could take a variable number of arguments, macros, arrays, non-local dynamic exits, fast arithmetic, the first good Lisp compiler, and an emphasis on execution speed. Interlisp introduced many ideas into Lisp programming environments and methodology. One of the Interlisp ideasthat influenced Common Lisp was an iteration construct implemented by Warren Teitelman that inspired the loop macro used both on the Lisp Machines and in MacLisp, and now in Common Lisp.