Adding Delimited and Composable Control to a Production Programming Environment
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How to Design Co-Programs
JFP, 15 pages, 2021. c Cambridge University Press 2021 1 doi:10.1017/xxxxx EDUCATIONMATTERS How to Design Co-Programs JEREMY GIBBONS Department of Computer Science, University of Oxford e-mail: [email protected] Abstract The observation that program structure follows data structure is a key lesson in introductory pro- gramming: good hints for possible program designs can be found by considering the structure of the data concerned. In particular, this lesson is a core message of the influential textbook “How to Design Programs” by Felleisen, Findler, Flatt, and Krishnamurthi. However, that book discusses using only the structure of input data for guiding program design, typically leading towards structurally recur- sive programs. We argue that novice programmers should also be taught to consider the structure of output data, leading them also towards structurally corecursive programs. 1 Introduction Where do programs come from? This mystery can be an obstacle to novice programmers, who can become overwhelmed by the design choices presented by a blank sheet of paper, or an empty editor window— where does one start? A good place to start, we tell them, is by analyzing the structure of the data that the program is to consume. For example, if the program h is to process a list of values, one may start by analyzing the structure of that list. Either the list is empty ([]), or it is non-empty (a : x) with a head (a) and a tail (x). This provides a candidate program structure: h [ ] = ::: h (a : x) = ::: a ::: x ::: where for the empty list some result must simply be chosen, and for a non-empty list the result depends on the head a and tail x. -
Bisimulations for Delimited-Control Operators
Logical Methods in Computer Science Volume 15, Issue 2, 2019, pp. 18:1–18:57 Submitted Apr. 24, 2018 https://lmcs.episciences.org/ Published May 24, 2019 BISIMULATIONS FOR DELIMITED-CONTROL OPERATORS DARIUSZ BIERNACKI a, SERGUE¨I LENGLET b, AND PIOTR POLESIUK a a University of Wroclaw e-mail address: fdabi,[email protected] b Universit´ede Lorraine e-mail address: [email protected] Abstract. We present a comprehensive study of the behavioral theory of an untyped λ-calculus extended with the delimited-control operators shift and reset. To that end, we define a contextual equivalence for this calculus, that we then aim to characterize with coinductively defined relations, called bisimilarities. We consider different styles of bisimilarities (namely applicative, normal-form, and environmental) within a unifying framework, and we give several examples to illustrate their respective strengths and weaknesses. We also discuss how to extend this work to other delimited-control operators. 1. Introduction Delimited-control operators. Control operators for delimited continuations enrich a pro- gramming language with the ability to delimit the current continuation, to capture such a delimited continuation, and to compose delimited continuations. Such operators have been originally proposed independently by Felleisen [26] and by Danvy and Filinski [21], with nu- merous variants designed subsequently [34, 66, 32, 25]. The applications of delimited-control operators range from non-deterministic programming [21, 45], partial evaluation [58, 19], and normalization by evaluation [24] to concurrency [34], mobile code [89], linguistics [84], oper- ating systems [43], and probabilistic programming [44]. Several variants of delimited-control operators are nowadays available in mainstream functional languages such as Haskell [25], OCaml [42], Racket [29], and Scala [76]. -
An Operational Foundation for Delimited Continuations in the Cps Hierarchy
Logical Methods in Computer Science Vol. 1 (2:5) 2005, pp. 1–39 Submitted Apr. 1, 2005 www.lmcs-online.org Published Nov. 8, 2005 AN OPERATIONAL FOUNDATION FOR DELIMITED CONTINUATIONS IN THE CPS HIERARCHY MALGORZATA BIERNACKA, DARIUSZ BIERNACKI, AND OLIVIER DANVY BRICS, Department of Computer Science, University of Aarhus IT-parken, Aabogade 34, DK-8200 Aarhus N, Denmark e-mail address: {mbiernac,dabi,danvy}@brics.dk Abstract. We present an abstract machine and a reduction semantics for the lambda- calculus extended with control operators that give access to delimited continuations in the CPS hierarchy. The abstract machine is derived from an evaluator in continuation- passing style (CPS); the reduction semantics (i.e., a small-step operational semantics with an explicit representation of evaluation contexts) is constructed from the abstract machine; and the control operators are the shift and reset family. We also present new applications of delimited continuations in the CPS hierarchy: finding list prefixes and normalization by evaluation for a hierarchical language of units and products. 1. Introduction The studies of delimited continuations can be classified in two groups: those that use continuation-passing style (CPS) and those that rely on operational intuitions about con- trol instead. Of the latter, there is a large number proposing a variety of control opera- tors [5,37,40,41,49,52,53,65,70,74,80] which have found applications in models of control, concurrency, and type-directed partial evaluation [8,52,75]. Of the former, there is the work revolving around the family of control operators shift and reset [27–29,32,42,43,55,56,66,80] which have found applications in non-deterministic programming, code generation, par- tial evaluation, normalization by evaluation, computational monads, and mobile comput- ing [6,7,9,17,22,23,33,34,44,46,48,51,57,59,61,72,77–79]. -
Final Shift for Call/Cc: Direct Implementation of Shift and Reset
Final Shift for Call/cc: Direct Implementation of Shift and Reset Martin Gasbichler Michael Sperber Universitat¨ Tubingen¨ fgasbichl,[email protected] Abstract JxKρ = λk:(k (ρ x)) 0 0 We present a direct implementation of the shift and reset con- Jλx:MKρ = λk:k (λv:λk :(JMK)(ρ[x 7! v]) k ) trol operators in the Scheme 48 system. The new implementation JE1 E2Kρ = λk:JE1Kρ (λ f :JE2Kρ (λa: f a k) improves upon the traditional technique of simulating shift and reset via call/cc. Typical applications of these operators exhibit Figure 1. Continuation semantics space savings and a significant overall performance gain. Our tech- nique is based upon the popular incremental stack/heap strategy for representing continuations. We present implementation details as well as some benchmark measurements for typical applications. this transformation has a direct counterpart as a semantic specifica- tion of the λ calculus; Figure 1 shows such a semantic specification for the bare λ calculus: each ρ is an environment mapping variables Categories and Subject Descriptors to values, and each k is a continuation—a function from values to values. An abstraction denotes a function from an environment to a D.3.3 [Programming Languages]: Language Constructs and Fea- function accepting an argument and a continuation. tures—Control structures In the context of the semantics, the rule for call/cc is this: General Terms Jcall=cc EKρ = λk:JEKρ (λ f : f (λv:λk0:k v) k) Languages, Performance Call=cc E evaluates E and calls the result f ; it then applies f to an Keywords escape function which discards the continuation k0 passed to it and replaces it by the continuation k of the call=cc expression. -
Continuation Passing Style for Effect Handlers
Continuation Passing Style for Effect Handlers Daniel Hillerström1, Sam Lindley2, Robert Atkey3, and KC Sivaramakrishnan4 1 The University of Edinburgh, United Kingdom [email protected] 2 The University of Edinburgh, United Kingdom [email protected] 3 University of Strathclyde, United Kingdom [email protected] 4 University of Cambridge, United Kingdom [email protected] Abstract We present Continuation Passing Style (CPS) translations for Plotkin and Pretnar’s effect han- dlers with Hillerström and Lindley’s row-typed fine-grain call-by-value calculus of effect handlers as the source language. CPS translations of handlers are interesting theoretically, to explain the semantics of handlers, and also offer a practical implementation technique that does not require special support in the target language’s runtime. We begin with a first-order CPS translation into untyped lambda calculus which manages a stack of continuations and handlers as a curried sequence of arguments. We then refine the initial CPS translation first by uncurrying it to yield a properly tail-recursive translation and second by making it higher-order in order to contract administrative redexes at translation time. We prove that the higher-order CPS translation simulates effect handler reduction. We have implemented the higher-order CPS translation as a JavaScript backend for the Links programming language. 1998 ACM Subject Classification D.3.3 Language Constructs and Features, F.3.2 Semantics of Programming Languages Keywords and phrases effect handlers, delimited control, continuation passing style Digital Object Identifier 10.4230/LIPIcs.FSCD.2017.18 1 Introduction Algebraic effects, introduced by Plotkin and Power [25], and their handlers, introduced by Plotkin and Pretnar [26], provide a modular foundation for effectful programming. -
Practical Ruby Projects: Practical Ruby Projects Ideas for the Eclectic Programmer
CYAN YELLOW MAGENTA BLACK PANTONE 123 C BOOKS FOR PROFESSIONALS BY PROFESSIONALS® THE EXPERT’S VOICE® IN OPEN SOURCE Companion eBook Available Practical Ruby Projects: Projects Ruby Practical Ideas for the Eclectic Programmer Dear Reader, You’ve learned the basics of Ruby, and you’re ready to move on to the next level— trying out advanced techniques, mastering best practices, and exploring Ruby’s full potential. With this book you’ll learn by experience while you tackle an exciting series of varied but always practical programming projects. What is an eclectic programmer, you ask? He or she is an inquisitive thinker Practical who likes to play around with new concepts, a person who is project-oriented and enjoys coding, a person who doesn’t mind some technical depth folded in with creative excursions, and a person who is always looking for fresh ideas. This book is a little different from other computer books. It is meant to be entertaining, exciting, and intellectually challenging. Inside you’ll find a collec- tion of diverse projects, ranging from the creative to the practical, written as a nod to all the great Rubyists I’ve been privileged to know. Each chapter dives into Ruby Projects new topics and approaches meant to exercise your programming muscles. You’ll start by building a cross-platform music environment, progress to drawing animations using scalable vector graphics, and then move on to prac- tical problem solving using simulation. In addition, you’ll implement your own turn-based strategy game and build a Mac-native RubyCocoa interface to it. -
Delimited Continuations in Operating Systems
Delimited continuations in operating systems Oleg Kiselyov1 and Chung-chieh Shan2 1 FNMOC [email protected] 2 Rutgers University [email protected] Abstract. Delimited continuations are the meanings of delimited evalu- ation contexts in programming languages. We show they offer a uniform view of many scenarios that arise in systems programming, such as a re- quest for a system service, an event handler for input/output, a snapshot of a process, a file system being read and updated, and a Web page. Ex- plicitly recognizing these uses of delimited continuations helps us design a system of concurrent, isolated transactions where desirable features such as snapshots, undo, copy-on-write, reconciliation, and interposition fall out by default. It also lets us take advantage of efficient implemen- tation techniques from programming-language research. The Zipper File System prototypes these ideas. 1 Introduction One notion of context that pervades programming-language research is that of evaluation contexts. If one part of a program is currently running (that is, being evaluated), then the rest of the program is expecting the result from that part, typically waiting for it. This rest of the program is the evaluation context of the running part. For example, in the program “1 + 2 × 3”, the evaluation context of the multiplication “2 × 3” is the rest of the program “1 + ”. The meaning of an evaluation context is a function that maps a result value to an answer. For example, the meaning of the evaluation context “1 + ” is the increment function, so it maps the result value 6 to the answer 7. -
Delimited Control with Multiple Prompts in Theory and Practice
Delimited control with multiple prompts in theory and practice Paul Downen Zena M. Ariola University of Oregon fpdownen,[email protected] 1. Proposal hE[S V ]i 7! hV (λx.hE[x]i)i The versatile and expressive capabilities of delimited control and composable continuations have gained it attention in both the the- #(E[F V ]) 7! #(V (λx.E[x])) ory and practice of functional programming with effects. On the hE[S0 V ]i0 7! V (λx.hE[x]i0) more theoretical side, delimited control may be used as a basis for # (E[F V ]) 7! V (λx.E[x]) explaining and understanding a wide variety of other computational 0 0 effects, like mutable state and exceptions, based on Filinski’s [8, 9] observation that composable continuations can be used to repre- Figure 1. Four different pairs of delimiters and control operators. sent any monadic effect. On the more practical side, forms of de- limited control have been implemented in real-world programming languages [6, 10, 15], and used in the design of libraries like for represents a closed off sub-computation, where the F operator is creating web servers [10]. only capable of capturing the evaluation context 2 × ≤ 10. That However, the design space for adding composable continua- way, the delimiter protects the surrounding context from the control tions to a programming language is vast, and a number of dif- operator, so that even in the larger program ferent definitions of delimited control operators have been pro- if #(2 × (F (λk:M)) ≤ 10) then red else blue posed [3, 4, 7, 12, 21]. -
Backpropagation with Continuation Callbacks: Foundations for Efficient
Backpropagation with Continuation Callbacks: Foundations for Efficient and Expressive Differentiable Programming Fei Wang James Decker Purdue University Purdue University West Lafayette, IN 47906 West Lafayette, IN 47906 [email protected] [email protected] Xilun Wu Grégory Essertel Tiark Rompf Purdue University Purdue University Purdue University West Lafayette, IN 47906 West Lafayette, IN, 47906 West Lafayette, IN, 47906 [email protected] [email protected] [email protected] Abstract Training of deep learning models depends on gradient descent and end-to-end differentiation. Under the slogan of differentiable programming, there is an increas- ing demand for efficient automatic gradient computation for emerging network architectures that incorporate dynamic control flow, especially in NLP. In this paper we propose an implementation of backpropagation using functions with callbacks, where the forward pass is executed as a sequence of function calls, and the backward pass as a corresponding sequence of function returns. A key realization is that this technique of chaining callbacks is well known in the programming languages community as continuation-passing style (CPS). Any program can be converted to this form using standard techniques, and hence, any program can be mechanically converted to compute gradients. Our approach achieves the same flexibility as other reverse-mode automatic differ- entiation (AD) techniques, but it can be implemented without any auxiliary data structures besides the function call stack, and it can easily be combined with graph construction and native code generation techniques through forms of multi-stage programming, leading to a highly efficient implementation that combines the per- formance benefits of define-then-run software frameworks such as TensorFlow with the expressiveness of define-by-run frameworks such as PyTorch. -
A Rational Deconstruction of Landin's J Operator
BRICS RS-06-4 Danvy & Millikin: A Rational Deconstruction of Landin’s J Operator BRICS Basic Research in Computer Science A Rational Deconstruction of Landin’s J Operator Olivier Danvy Kevin Millikin BRICS Report Series RS-06-4 ISSN 0909-0878 February 2006 Copyright c 2006, Olivier Danvy & Kevin Millikin. BRICS, Department of Computer Science University of Aarhus. All rights reserved. Reproduction of all or part of this work is permitted for educational or research use on condition that this copyright notice is included in any copy. See back inner page for a list of recent BRICS Report Series publications. Copies may be obtained by contacting: BRICS Department of Computer Science University of Aarhus IT-parken, Aabogade 34 DK–8200 Aarhus N Denmark Telephone: +45 8942 9300 Telefax: +45 8942 5601 Internet: [email protected] BRICS publications are in general accessible through the World Wide Web and anonymous FTP through these URLs: http://www.brics.dk ftp://ftp.brics.dk This document in subdirectory RS/06/4/ A Rational Deconstruction of Landin’s J Operator∗ Olivier Danvy and Kevin Millikin BRICS† Department of Computer Science University of Aarhus‡ February 28, 2006 Abstract Landin’s J operator was the first control operator for functional languages, and was specified with an extension of the SECD machine. Through a se- ries of meaning-preserving transformations (transformation into continu- ation-passing style (CPS) and defunctionalization) and their left inverses (transformation into direct style and refunctionalization), we present a compositional evaluation function corresponding to this extension of the SECD machine. We then characterize the J operator in terms of CPS and in terms of delimited-control operators in the CPS hierarchy. -
The Racket Manifesto∗
The Racket Manifesto∗ Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi Eli Barzilay, Jay McCarthy, Sam Tobin-Hochstadt Abstract The creation of a programming language calls for guiding principles that point the developers to goals. This article spells out the three basic principles behind the 20-year development of Racket. First, programming is about stating and solving problems, and this activity normally takes place in a context with its own language of discourse; good programmers ought to for- mulate this language as a programming language. Hence, Racket is a programming language for creating new programming languages. Second, by following this language-oriented approach to programming, systems become multi-lingual collections of interconnected components. Each language and component must be able to protect its specific invariants. In support, Racket offers protection mechanisms to implement a full language spectrum, from C-level bit manipulation to soundly typed extensions. Third, because Racket considers programming as problem solving in the correct language, Racket also turns extra-linguistic mechanisms into linguistic constructs, especially mechanisms for managing resources and projects. The paper explains these principles and how Racket lives up to them, presents the evaluation framework behind the design process, and concludes with a sketch of Racket’s imperfections and opportunities for future improvements. 1998 ACM Subject Classification D.3.3 Language Constructs and Features Keywords and phrases design -
Matthias Felleisen, Plt, Nuprl the Beginning (1992/95)
DEVELOPING DEVELOPERS MATTHIAS FELLEISEN, PLT, NUPRL THE BEGINNING (1992/95) C++ SiCP CS I C, AP, high schools Pascal, Ratfor, the “better math” Fortran “computational” physics economics “come alive” THE BEGINNING (1992/95) ‣ Robby Findler Dist Sys Dev ‣ Kathi Fisler Sw Dev ~ just ‣ Matthew Flatt before students ‣ Shriram Krishnamurthi C++ study Sw Eng SiCP C++ ‣ Emmanuel Schanzer CS II: if CS I is about “Scheme”, what roles CS I does CS it serve? C, TeachScheme! Pascal, Ratfor, ‣ Robert Cartwright (Rice) Fortran Program By Design ‣ Robby Findler Bootstrap ‣ Peter Druschel (MPI-SWS) ‣ Mike Ernst (UW) THE BEGINNING (1992/95) Dist Sys Dev Sw Dev ~ just before students C++ study Sw Eng SiCP C++ CS II: if CS I is about “Scheme”, what roles CS I does CS it serve? C, Pascal, Ratfor, Fortran WHERE I AM TODAY TODAY’S WORLD @ NU CCIS: TECHNICAL SKILLS & COMMUNICATION SKILLS Sw Dev CO OP communication technical skills: skills: conversing systematic about code creation of code OOD CS II LiCS CS I TODAY’S WORLD @ NU CCIS: TECHNICAL SKILLS & COMMUNICATION SKILLS pair programming, scale problem panel/peer review, Sw Dev complexity and memos on code size; consolidate 6-month job-like setting, code in CO OP “the real world” pair programming, scale it up in Java, code review logic in interface OOD proving theorems about systematic design, CS II LiCS (functional) code, dual to typed & OOPL (Java) systematic design pair programming, pair programming code review CS I functional pair programming programming for systematic design TODAY’S WORLD @ NU CCIS: TECHNICAL