Exploring Languages with Interpreters and Functional Programming Chapter 22
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ML Module Mania: a Type-Safe, Separately Compiled, Extensible Interpreter
ML Module Mania: A Type-Safe, Separately Compiled, Extensible Interpreter The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Ramsey, Norman. 2005. ML Module Mania: A Type-Safe, Separately Compiled, Extensible Interpreter. Harvard Computer Science Group Technical Report TR-11-05. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:25104737 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA ¡¢ £¥¤§¦©¨ © ¥ ! " $# %& !'( *)+ %¨,.-/£102©¨ 3¤4#576¥)+ %&8+9©¨ :1)+ 3';&'( )< %' =?>A@CBEDAFHG7DABJILKM GPORQQSOUT3V N W >BYXZ*[CK\@7]_^\`aKbF!^\K/c@C>ZdX eDf@hgiDf@kjmlnF!`ogpKb@CIh`q[UM W DABsr!@k`ajdtKAu!vwDAIhIkDi^Rx_Z!ILK[h[SI ML Module Mania: A Type-Safe, Separately Compiled, Extensible Interpreter Norman Ramsey Division of Engineering and Applied Sciences Harvard University Abstract An application that uses an embedded interpreter is writ- ten in two languages: Most code is written in the original, The new embedded interpreter Lua-ML combines extensi- host language (e.g., C, C++, or ML), but key parts can be bility and separate compilation without compromising type written in the embedded language. This organization has safety. The interpreter’s types are extended by applying a several benefits: sum constructor to built-in types and to extensions, then • Complex command-line arguments aren’t needed; the tying a recursive knot using a two-level type; the sum con- embedded language can be used on the command line. -
X10 Language Specification
X10 Language Specification Version 2.6.2 Vijay Saraswat, Bard Bloom, Igor Peshansky, Olivier Tardieu, and David Grove Please send comments to [email protected] January 4, 2019 This report provides a description of the programming language X10. X10 is a class- based object-oriented programming language designed for high-performance, high- productivity computing on high-end computers supporting ≈ 105 hardware threads and ≈ 1015 operations per second. X10 is based on state-of-the-art object-oriented programming languages and deviates from them only as necessary to support its design goals. The language is intended to have a simple and clear semantics and be readily accessible to mainstream OO pro- grammers. It is intended to support a wide variety of concurrent programming idioms. The X10 design team consists of David Grove, Ben Herta, Louis Mandel, Josh Milthorpe, Vijay Saraswat, Avraham Shinnar, Mikio Takeuchi, Olivier Tardieu. Past members include Shivali Agarwal, Bowen Alpern, David Bacon, Raj Barik, Ganesh Bikshandi, Bob Blainey, Bard Bloom, Philippe Charles, Perry Cheng, David Cun- ningham, Christopher Donawa, Julian Dolby, Kemal Ebcioglu,˘ Stephen Fink, Robert Fuhrer, Patrick Gallop, Christian Grothoff, Hiroshi Horii, Kiyokuni Kawachiya, Al- lan Kielstra, Sreedhar Kodali, Sriram Krishnamoorthy, Yan Li, Bruce Lucas, Yuki Makino, Nathaniel Nystrom, Igor Peshansky, Vivek Sarkar, Armando Solar-Lezama, S. Alexander Spoon, Toshio Suganuma, Sayantan Sur, Toyotaro Suzumura, Christoph von Praun, Leena Unnikrishnan, Pradeep Varma, Krishna Nandivada Venkata, Jan Vitek, Hai Chuan Wang, Tong Wen, Salikh Zakirov, and Yoav Zibin. For extended discussions and support we would like to thank: Gheorghe Almasi, Robert Blackmore, Rob O’Callahan, Calin Cascaval, Norman Cohen, Elmootaz El- nozahy, John Field, Kevin Gildea, Sara Salem Hamouda, Michihiro Horie, Arun Iyen- gar, Chulho Kim, Orren Krieger, Doug Lea, John McCalpin, Paul McKenney, Hiroki Murata, Andrew Myers, Filip Pizlo, Ram Rajamony, R. -
Tierless Web Programming in ML Gabriel Radanne
Tierless Web programming in ML Gabriel Radanne To cite this version: Gabriel Radanne. Tierless Web programming in ML. Programming Languages [cs.PL]. Université Paris Diderot (Paris 7), 2017. English. tel-01788885 HAL Id: tel-01788885 https://hal.archives-ouvertes.fr/tel-01788885 Submitted on 9 May 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - ShareAlike| 4.0 International License Thèse de doctorat de l’Université Sorbonne Paris Cité Préparée à l’Université Paris Diderot au Laboratoire IRIF Ecole Doctorale 386 — Science Mathématiques De Paris Centre Tierless Web programming in ML par Gabriel Radanne Thèse de Doctorat d’informatique Dirigée par Roberto Di Cosmo et Jérôme Vouillon Thèse soutenue publiquement le 14 Novembre 2017 devant le jury constitué de Manuel Serrano Président du Jury Roberto Di Cosmo Directeur de thèse Jérôme Vouillon Co-Directeur de thèse Koen Claessen Rapporteur Jacques Garrigue Rapporteur Coen De Roover Examinateur Xavier Leroy Examinateur Jeremy Yallop Examinateur This work is licensed under a Creative Commons “Attribution- NonCommercial-ShareAlike 4.0 International” license. Abstract Eliom is a dialect of OCaml for Web programming in which server and client pieces of code can be mixed in the same file using syntactic annotations. -
Seaflow Language Reference Manual Rohan Arora, Junyang Jin, Ho Sanlok Lee, Sarah Seidman Ra3091, Jj3132, Hl3436, Ss5311
Seaflow Language Reference Manual Rohan Arora, Junyang Jin, Ho Sanlok Lee, Sarah Seidman ra3091, jj3132, hl3436, ss5311 1 Introduction 3 2 Lexical Conventions 3 2.1 Comments 3 2.2 Identifiers 3 2.3 Keywords 3 2.4 Literals 3 3 Expressions and Statements 3 3.1 Expressions 4 3.1.1 Primary Expressions 4 3.1.1 Operators 4 3.1.2 Conditional expression 4 3.4 Statements 5 3.4.1 Declaration 5 3.4.2 Immutability 5 3.4.3 Observable re-assignment 5 4 Functions Junyang 6 4.1 Declaration 6 4.2 Scope rules 6 4.3 Higher Order Functions 6 5 Observables 7 5.1 Declaration 7 5.2 Subscription 7 5.3 Methods 7 6 Conversions 9 1 Introduction Seaflow is an imperative language designed to address the asynchronous event conundrum by supporting some of the core principles of ReactiveX and reactive programming natively. Modern applications handle many asynchronous events, but it is difficult to model such applications using programming languages such as Java and JavaScript. One popular solution among the developers is to use ReactiveX implementations in their respective languages to architect event-driven reactive models. However, since Java and JavaScript are not designed for reactive programming, it leads to complex implementations where multiple programming styles are mixed-used. Our goals include: 1. All data types are immutable, with the exception being observables, no pointers 2. The creation of an observable should be simple 3. Natively support core principles in the ReactiveX specification 2 Lexical Conventions 2.1 Comments We use the characters /* to introduce a comment, which terminates with the characters */. -
JNI – C++ Integration Made Easy
JNI – C++ integration made easy Evgeniy Gabrilovich Lev Finkelstein [email protected] [email protected] Abstract The Java Native Interface (JNI) [1] provides interoperation between Java code running on a Java Virtual Machine and code written in other programming languages (e.g., C++ or assembly). The JNI is useful when existing libraries need to be integrated into Java code, or when portions of the code are implemented in other languages for improved performance. The Java Native Interface is extremely flexible, allowing Java methods to invoke native methods and vice versa, as well as allowing native functions to manipulate Java objects. However, this flexibility comes at the expense of extra effort for the native language programmer, who has to explicitly specify how to connect to various Java objects (and later to disconnect from them, to avoid resource leak). We suggest a template-based framework that relieves the C++ programmer from most of this burden. In particular, the proposed technique provides automatic selection of the right functions to access Java objects based on their types, automatic release of previously acquired resources when they are no longer necessary, and overall simpler interface through grouping of auxiliary functions. Introduction The Java Native Interface1 is a powerful framework for seamless integration between Java and other programming languages (called “native languages” in the JNI terminology). A common case of using the JNI is when a system architect wants to benefit from both worlds, implementing communication protocols in Java and computationally expensive algorithmic parts in C++ (the latter are usually compiled into a dynamic library, which is then invoked from the Java code). -
Difference Between Method Declaration and Signature
Difference Between Method Declaration And Signature Asiatic and relaxed Dillon still terms his tacheometry namely. Is Tom dirt or hierarchal after Zyrian Nelson hasting so variously? Heterozygous Henrique instals terribly. Chapter 15 Functions. How junior you identify a function? There play an important difference between schedule two forms of code block seeing the. Subroutines in C and Java are always expressed as functions methods which may. Only one params keyword is permitted in a method declaration. Complex constant and so, where you declare checked exception parameters which case, it prompts the method declaration group the habit of control passes the positional. Overview of methods method parameters and method return values. A whole object has the cash public attributes and methods. Defining Methods. A constant only be unanimous a type explicitly by doing constant declaration or. As a stop rule using prototypes is the preferred method as it. C endif Class HelloJNI Method sayHello Signature V JNIEXPORT. Method signature It consists of the method name just a parameter list window of. As I breathe in the difference between static and dynamic binding static methods are. Most electronic signature solutions in the United States fall from this broad. DEPRECATED Method declarations with type constraints and per source filter. Methods and Method Declaration in Java dummies. Class Methods Apex Developer Guide Salesforce Developers. Using function signatures to remove a library method Function signatures are known important snapshot of searching for library functions The F libraries. Many different kinds of parameters with rather subtle semantic differences. For addition as real numbers the distinction is somewhat moot because is. -
Data Types Are Values
Data Types Are Values James Donahue Alan Demers Data Types Are Values James Donahue Xerox Corporation Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, California 94304 Alan Demers Computer Science Department Cornell University Ithaca, New York 14853 CSL -83-5 March 1984 [P83-00005] © Copyright 1984 ACM. All rights reserved. Reprinted with permission. A bst ract: An important goal of programming language research is to isolate the fundamental concepts of languages, those basic ideas that allow us to understand the relationship among various language features. This paper examines one of these underlying notions, data type, with particular attention to the treatment of generic or polymorphic procedures and static type-checking. A version of this paper will appear in the ACM Transact~ons on Programming Languages and Systems. CR Categories and Subject Descriptors: 0.3 (Programming Languages), 0.3.1 (Formal Definitions and Theory), 0.3.3 (Language Constructs), F.3.2 (Semantics of Programming Languages) Additional Keywords and Phrases: data types, polymorphism XEROX Xerox Corporation Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, California 94304 DATA TYPES ARE VALVES 1 1. Introduction An important goal of programming language research is to isolate the fundamental concepts of languages, those basic ideas that allow us to understand the relationship among various language features. This paper examines one of these underlying notions, data type, and presents a meaning for this term that allows us to: describe a simple treatment of generic or polymorphic procedures that preserves full static type-checking and allows unrestricted use of recursion; and give a precise meaning to the phrase strong typing, so that Language X is strongly typed can be interpreted as a critically important theorem about the semantics of the language. -
Cross-Platform Language Design
Cross-Platform Language Design THIS IS A TEMPORARY TITLE PAGE It will be replaced for the final print by a version provided by the service academique. Thèse n. 1234 2011 présentée le 11 Juin 2018 à la Faculté Informatique et Communications Laboratoire de Méthodes de Programmation 1 programme doctoral en Informatique et Communications École Polytechnique Fédérale de Lausanne pour l’obtention du grade de Docteur ès Sciences par Sébastien Doeraene acceptée sur proposition du jury: Prof James Larus, président du jury Prof Martin Odersky, directeur de thèse Prof Edouard Bugnion, rapporteur Dr Andreas Rossberg, rapporteur Prof Peter Van Roy, rapporteur Lausanne, EPFL, 2018 It is better to repent a sin than regret the loss of a pleasure. — Oscar Wilde Acknowledgments Although there is only one name written in a large font on the front page, there are many people without which this thesis would never have happened, or would not have been quite the same. Five years is a long time, during which I had the privilege to work, discuss, sing, learn and have fun with many people. I am afraid to make a list, for I am sure I will forget some. Nevertheless, I will try my best. First, I would like to thank my advisor, Martin Odersky, for giving me the opportunity to fulfill a dream, that of being part of the design and development team of my favorite programming language. Many thanks for letting me explore the design of Scala.js in my own way, while at the same time always being there when I needed him. -
Functional C
Functional C Pieter Hartel Henk Muller January 3, 1999 i Functional C Pieter Hartel Henk Muller University of Southampton University of Bristol Revision: 6.7 ii To Marijke Pieter To my family and other sources of inspiration Henk Revision: 6.7 c 1995,1996 Pieter Hartel & Henk Muller, all rights reserved. Preface The Computer Science Departments of many universities teach a functional lan- guage as the first programming language. Using a functional language with its high level of abstraction helps to emphasize the principles of programming. Func- tional programming is only one of the paradigms with which a student should be acquainted. Imperative, Concurrent, Object-Oriented, and Logic programming are also important. Depending on the problem to be solved, one of the paradigms will be chosen as the most natural paradigm for that problem. This book is the course material to teach a second paradigm: imperative pro- gramming, using C as the programming language. The book has been written so that it builds on the knowledge that the students have acquired during their first course on functional programming, using SML. The prerequisite of this book is that the principles of programming are already understood; this book does not specifically aim to teach `problem solving' or `programming'. This book aims to: ¡ Familiarise the reader with imperative programming as another way of imple- menting programs. The aim is to preserve the programming style, that is, the programmer thinks functionally while implementing an imperative pro- gram. ¡ Provide understanding of the differences between functional and imperative pro- gramming. Functional programming is a high level activity. -
Julia: a Modern Language for Modern ML
Julia: A modern language for modern ML Dr. Viral Shah and Dr. Simon Byrne www.juliacomputing.com What we do: Modernize Technical Computing Today’s technical computing landscape: • Develop new learning algorithms • Run them in parallel on large datasets • Leverage accelerators like GPUs, Xeon Phis • Embed into intelligent products “Business as usual” will simply not do! General Micro-benchmarks: Julia performs almost as fast as C • 10X faster than Python • 100X faster than R & MATLAB Performance benchmark relative to C. A value of 1 means as fast as C. Lower values are better. A real application: Gillespie simulations in systems biology 745x faster than R • Gillespie simulations are used in the field of drug discovery. • Also used for simulations of epidemiological models to study disease propagation • Julia package (Gillespie.jl) is the state of the art in Gillespie simulations • https://github.com/openjournals/joss- papers/blob/master/joss.00042/10.21105.joss.00042.pdf Implementation Time per simulation (ms) R (GillespieSSA) 894.25 R (handcoded) 1087.94 Rcpp (handcoded) 1.31 Julia (Gillespie.jl) 3.99 Julia (Gillespie.jl, passing object) 1.78 Julia (handcoded) 1.2 Those who convert ideas to products fastest will win Computer Quants develop Scientists prepare algorithms The last 25 years for production (Python, R, SAS, DEPLOY (C++, C#, Java) Matlab) Quants and Computer Compress the Scientists DEPLOY innovation cycle collaborate on one platform - JULIA with Julia Julia offers competitive advantages to its users Julia is poised to become one of the Thank you for Julia. Yo u ' v e k i n d l ed leading tools deployed by developers serious excitement. -
On the Interaction of Object-Oriented Design Patterns and Programming
On the Interaction of Object-Oriented Design Patterns and Programming Languages Gerald Baumgartner∗ Konstantin L¨aufer∗∗ Vincent F. Russo∗∗∗ ∗ Department of Computer and Information Science The Ohio State University 395 Dreese Lab., 2015 Neil Ave. Columbus, OH 43210–1277, USA [email protected] ∗∗ Department of Mathematical and Computer Sciences Loyola University Chicago 6525 N. Sheridan Rd. Chicago, IL 60626, USA [email protected] ∗∗∗ Lycos, Inc. 400–2 Totten Pond Rd. Waltham, MA 02154, USA [email protected] February 29, 1996 Abstract Design patterns are distilled from many real systems to catalog common programming practice. However, some object-oriented design patterns are distorted or overly complicated because of the lack of supporting programming language constructs or mechanisms. For this paper, we have analyzed several published design patterns looking for idiomatic ways of working around constraints of the implemen- tation language. From this analysis, we lay a groundwork of general-purpose language constructs and mechanisms that, if provided by a statically typed, object-oriented language, would better support the arXiv:1905.13674v1 [cs.PL] 31 May 2019 implementation of design patterns and, transitively, benefit the construction of many real systems. In particular, our catalog of language constructs includes subtyping separate from inheritance, lexically scoped closure objects independent of classes, and multimethod dispatch. The proposed constructs and mechanisms are not radically new, but rather are adopted from a variety of languages and programming language research and combined in a new, orthogonal manner. We argue that by describing design pat- terns in terms of the proposed constructs and mechanisms, pattern descriptions become simpler and, therefore, accessible to a larger number of language communities. -
An Analysis of the Dynamic Behavior of Javascript Programs
An Analysis of the Dynamic Behavior of JavaScript Programs Gregor Richards Sylvain Lebresne Brian Burg Jan Vitek S3 Lab, Department of Computer Science, Purdue University, West Lafayette, IN fgkrichar,slebresn,bburg,[email protected] Abstract becoming a general purpose computing platform with office appli- The JavaScript programming language is widely used for web cations, browsers and development environments [15] being devel- programming and, increasingly, for general purpose computing. oped in JavaScript. It has been dubbed the “assembly language” of the Internet and is targeted by code generators from the likes As such, improving the correctness, security and performance of 2;3 JavaScript applications has been the driving force for research in of Java and Scheme [20]. In response to this success, JavaScript type systems, static analysis and compiler techniques for this lan- has started to garner academic attention and respect. Researchers guage. Many of these techniques aim to reign in some of the most have focused on three main problems: security, correctness and dynamic features of the language, yet little seems to be known performance. Security is arguably JavaScript’s most pressing prob- about how programmers actually utilize the language or these fea- lem: a number of attacks have been discovered that exploit the lan- tures. In this paper we perform an empirical study of the dynamic guage’s dynamism (mostly the ability to access and modify shared behavior of a corpus of widely-used JavaScript programs, and an- objects and to inject code via eval). Researchers have proposed ap- alyze how and why the dynamic features are used.