Lucian: Dataflow and Object-orientation

Size: px
Start display at page:

Download "Lucian: Dataflow and Object-orientation"

Transcription

1 : Object-orientation Computer Lab, University of Cambridge BCTCS 09

2 : Language interoperation s and No one language is all things to all people/programs Some languages/paradigms are more appropriate for a certain class of program The best of both worlds... Language interoperation Multi-paradigm languages But how to interoperate and combine paradigms?

3 : s and Interoperates dataflow and object-orientation Declarative dataflow à la Interoperated with bject-orientated programming What do the two paradigms mean with respect to each other?

4 : LUCID, The dataflow programming language s and Wadge, W.W., and Ashcroft, E. A. LUCID, The dataflow programming language. Academic Press Professional, Inc., San Diego, CA, USA, A declarative dataflow language Iteration and variable update is declarative Lazy, demand driven

5 : Declarative iteration and assignment s and Procedural Multiple scattered statements x = 2... x = 0... loop:... x += 1... Single inseparable definition x = 2 fby 0 fby x + 1

6 : One of LUCID: s s and Declarative language of infinite streams Expressions return streams Operators are independent processes, connected with streams Programs are continuous Asynchronous

7 : LUCID operations as stream operations s and Constant s 1 = 1, 1, 1,... Arithmetic/boolean binary operators applied pointwise x + y = x 0 + y 0, x 1 + y 1,... Conditional construct (pointwise) { x0 if b 0 if b then x else y = y 0 otherwise,...

8 : LUCID operations as stream operations s and First operator - repeat first element (head) first x = x 0, x 0,... Next operator - skip first element (tail) next x = x 1, x 2,... Followed by - fby - (cons) x fby y = x 0, y 0, y 1...

9 : s and Classic example: Natural numbers Example n = 1 fby (n+1) Remember: x fby y = x 0, y 0, y 1...

10 : Interoperate dataflow with objects? s and How are objects and streams related? What are objects and streams formally?

11 : data structure s and Blackbox with hidden state X Observe a value A Transition to next state X Keep asking for a next state and observation

12 : Functional objects s and Blackbox with hidden state (private data/) Observe attributes Immutable Method calls return new object i.e. transform/transition to next object state Turn imperative OO into pseudo-functional OO using deep cloning

13 : Functional objects - Infinite tree s and

14 : and s s and generalise streams have more transformations and observations Therefore, can embed streams into OO.

15 : Single path of object tree = stream s and Can describe path (history) of an object s transformations using dataflow equations

16 : s and Underlying computational device: objects streams embedded into functional objects attribute = value method = next Dataflow objects: describe object transformations in a single definition Single definition is a stream of object snapshots

17 : Dataflow objects s and Procedural Multiple scattered statements x = new X... x.m1(...)... x.m2(...)... Single inseparable definition x = new X <<= m1(...) fby m2(...)

18 : s and Interoperation Has no class definitions of its own. Instantiate objects defined in some OO language. Some OO language class BankAccount: balance = 0 credit(x) =... debit(x) =... o = new BankAccount......

19 : Dataflow Object : s and Describe an object s life in a single definition Example new class new class <<= new class = BA 0, BA 0, BA 0,... where BA 0 is a newly instantiated BankAccount object.

20 : Dataflow Object : s and Give list of method calls after <<= Example ba = new BankAccount <<= c(2) fby d(6) fby id} ba = BA 0, BA 0.c(2), BA 0.c(2).d(6), BA 0.c(2).d(6),... where BA 0 is a newly instantiated BankAccount object.

21 : Dataflow Object : Attribute reference s and Example ba.balanace ba.balance = ba 0.balance, ba 1.balance, ba 2.balance,... Attribute at each object snapshot

22 : Dataflow Object : s and Apply a method pointwise as opposed to giving a stream of method calls Example ba = ba.credit(param) ba = ba 0.c(p 0 ), ba 1.c(p 1 ),... No longer a dataflow object, just a stream of object snapshots

23 : s and Example ba = new BankAccount <<= credit(10) fby debit(2) fby debit(20) fby id balance = ba.balance overdrawn? = ba.balance < 0 balance = 0, 10, 8, 12, 12,... overdrawn? = false, false, false, true, true,...

24 : s and is an OO-dataflow language extending Has a declarative dataflow view of objects Define object and its transformations in a single declaration embeds streams into objects i.e. interpreted with objects

25 : s and Equational reasoning on object behaviours Object versioning, and rollback Reactive, continuous programming with objects Hybrid programming: combining dynamic, reactive programs with discrete units of functionality: objects Benefits of IO and libraries from OO into Coarse grained parallelism

26 : s and Coalgebraic semantics for reasoning Invariant equations on object behaviour for further reasoning Typing rules for when a stream of snapshots is historical or not Real world OO is not well behaved: global side effects, aliasing Current implementation is old and broken in places Parallel implementation on stream processors

27 : s and eod

A Simulation of Demand-Driven Dataflow: Translation from Lucid into MDC Language

A Simulation of Demand-Driven Dataflow: Translation from Lucid into MDC Language Loyola University Chicago Loyola ecommons Computer Science: Faculty Publications and Other Works Faculty Publications 1991 A Simulation of Demand-Driven Dataflow: Translation from Lucid into MDC Language

More information

JVM ByteCode Interpreter

JVM ByteCode Interpreter JVM ByteCode Interpreter written in Haskell (In under 1000 Lines of Code) By Louis Jenkins Presentation Schedule ( 15 Minutes) Discuss and Run the Virtual Machine first

More information

Constraint Programming on Infinite Data Streams

Constraint Programming on Infinite Data Streams Constraint Programming on Infinite Data Streams A. Lallouet 1, Y.C. Law 2, J.H.M. Lee 2, and C.F.K. Siu 2 1 Université de Caen, France 2 The Chinese University of Hong Kong, Hong Kong 1 Infinite Data Streams

More information

FP and states? Lucid

FP and states? Lucid CS256 Functional Programming Lecture 10 : FP and states (part 2) Steve Matthews Department of Computer Science University of Warwick Coventry, CV4 7AL Steve.Matthews@warwick.ac.uk "The longer you look

More information

Lecture 08: Static Fields and Methods

Lecture 08: Static Fields and Methods Accelerating Information Technology Innovation http://aiti.mit.edu Lecture 08: Static Fields and Methods AITI Nigeria Summer 2012 University of Lagos. What You Know So Far Each object has its own copy

More information

SCHEME 10 COMPUTER SCIENCE 61A. July 26, Warm Up: Conditional Expressions. 1. What does Scheme print? scm> (if (or #t (/ 1 0)) 1 (/ 1 0))

SCHEME 10 COMPUTER SCIENCE 61A. July 26, Warm Up: Conditional Expressions. 1. What does Scheme print? scm> (if (or #t (/ 1 0)) 1 (/ 1 0)) SCHEME 0 COMPUTER SCIENCE 6A July 26, 206 0. Warm Up: Conditional Expressions. What does Scheme print? scm> (if (or #t (/ 0 (/ 0 scm> (if (> 4 3 (+ 2 3 4 (+ 3 4 (* 3 2 scm> ((if (< 4 3 + - 4 00 scm> (if

More information

Exercise Unit 2: Modeling Paradigms - RT-UML. UML: The Unified Modeling Language. Statecharts. RT-UML in AnyLogic

Exercise Unit 2: Modeling Paradigms - RT-UML. UML: The Unified Modeling Language. Statecharts. RT-UML in AnyLogic Exercise Unit 2: Modeling Paradigms - RT-UML UML: The Unified Modeling Language Statecharts RT-UML in AnyLogic Simulation and Modeling I Modeling with RT-UML 1 RT-UML: UML Unified Modeling Language a mix

More information

Future Directions. Edward A. Lee. Berkeley, CA May 12, A New Computational Platform: Ubiquitous Networked Embedded Systems. actuate.

Future Directions. Edward A. Lee. Berkeley, CA May 12, A New Computational Platform: Ubiquitous Networked Embedded Systems. actuate. Future Directions Edward A. Lee 6th Biennial Ptolemy Miniconference Berkeley, CA May 12, 2005 A New Computational Platform: Ubiquitous Networked Embedded Systems sense actuate control Ptolemy II support

More information

Synchronous Kahn Networks (ten years later)

Synchronous Kahn Networks (ten years later) Synchronous Kahn Networks (ten years later) Marc Pouzet LRI Marc.Pouzet@lri.fr Workshop SYNCHRON, 27/11/06 Overview The origins From Lustre to Lucid Synchrone Developping a Language Conclusion The origins

More information

Concurrent Models of Computation

Concurrent Models of Computation Concurrent Models of Computation Edward A. Lee Robert S. Pepper Distinguished Professor, UC Berkeley EECS 219D: Concurrent Models of Computation Fall 2011 Copyright 2011, Edward A. Lee, All rights reserved

More information

Modules, Structs, Hashes, and Operational Semantics

Modules, Structs, Hashes, and Operational Semantics CS 152: Programming Language Paradigms Modules, Structs, Hashes, and Operational Semantics Prof. Tom Austin San José State University Lab Review (in-class) Modules Review Modules from HW 1 (in-class) How

More information

Outline for Today CSE 142. CSE142 Wi03 G-1. withdraw Method for BankAccount. Class Invariants

Outline for Today CSE 142. CSE142 Wi03 G-1. withdraw Method for BankAccount. Class Invariants CSE 142 Outline for Today Conditional statements if Boolean expressions Comparisons (=,!=, ==) Boolean operators (and, or, not - &&,,!) Class invariants Conditional Statements & Boolean Expressions

More information

Lucid: Scope Structures and Defined Functions

Lucid: Scope Structures and Defined Functions Lucid: Scope Structures and Defined Functions E. A. Ashcroft and W. W. Wadge Abstract In the paper we describe how Lucid can be exted to allow user-defined functions and scope conventions, i.e., conventions

More information

Static analysis and all that

Static analysis and all that Static analysis and all that Martin Steffen IfI UiO Spring 2014 uio Static analysis and all that Martin Steffen IfI UiO Spring 2014 uio Plan approx. 15 lectures, details see web-page flexible time-schedule,

More information

Clock-directed Modular Code-generation for Synchronous Data-flow Languages

Clock-directed Modular Code-generation for Synchronous Data-flow Languages 1 Clock-directed Modular Code-generation for Synchronous Data-flow Languages Dariusz Biernacki Univ. of Worclaw (Poland) Jean-Louis Colaço Prover Technologies (France) Grégoire Hamon The MathWorks (USA)

More information

Object oriented programming Concepts

Object oriented programming Concepts Object oriented programming Concepts Naresh Proddaturi 09/10/2012 Naresh Proddaturi 1 Problems with Procedural language Data is accessible to all functions It views a program as a series of steps to be

More information

Programming Languages

Programming Languages CSE 130 : Spring 2011 Programming Languages Lecture 3: Crash Course Ctd, Expressions and Types Ranjit Jhala UC San Diego A shorthand for function binding # let neg = fun f -> fun x -> not (f x); # let

More information

Programming Languages

Programming Languages CSE 130: Spring 2010 Programming Languages Lecture 3: Epressions and Types Ranjit Jhala UC San Diego A Problem fun -> +1 Can functions only have a single parameter? A Solution: Simultaneous Binding Parameter

More information

CS 6110 S14 Lecture 38 Abstract Interpretation 30 April 2014

CS 6110 S14 Lecture 38 Abstract Interpretation 30 April 2014 CS 6110 S14 Lecture 38 Abstract Interpretation 30 April 2014 1 Introduction to Abstract Interpretation At this point in the course, we have looked at several aspects of programming languages: operational

More information

An Introduction to Lustre

An Introduction to Lustre An Introduction to Lustre Monday Oct 06, 2014 Philipp Rümmer Uppsala University Philipp.Ruemmer@it.uu.se 1/35 ES Programming languages Which language to write embedded software in? Traditional: low-level

More information

Data abstractions: ADTs Invariants, Abstraction function. Lecture 4: OOP, autumn 2003

Data abstractions: ADTs Invariants, Abstraction function. Lecture 4: OOP, autumn 2003 Data abstractions: ADTs Invariants, Abstraction function Lecture 4: OOP, autumn 2003 Limits of procedural abstractions Isolate implementation from specification Dependency on the types of parameters representation

More information

The University of Nottingham

The University of Nottingham The University of Nottingham SCHOOL OF COMPUTER SCIENCE A LEVEL 2 MODULE, SPRING SEMESTER 2013-2014 G54FOP FOUNDATIONS OF PROGRAMMING Time allowed 2 hours Candidates may complete the front cover of their

More information

Classes Classes 2 / 36

Classes Classes 2 / 36 Classes 1 / 36 Classes Classes 2 / 36 Anatomy of a Class By the end of next lecture, you ll understand everything in this class definition. package edu. gatech. cs1331. card ; import java. util. Arrays

More information

Overview of Dataflow Languages. Waheed Ahmad

Overview of Dataflow Languages. Waheed Ahmad Overview of Dataflow Languages Waheed Ahmad w.ahmad@utwente.nl The purpose of models is not to fit the data but to sharpen the questions. Samuel Karlins 11 th R.A Fisher Memorial Lecture Royal Society

More information

for (i=1; i<=100000; i++) { x = sqrt (y); // square root function cout << x+i << endl; }

for (i=1; i<=100000; i++) { x = sqrt (y); // square root function cout << x+i << endl; } Ex: The difference between Compiler and Interpreter The interpreter actually carries out the computations specified in the source program. In other words, the output of a compiler is a program, whereas

More information

Classes Classes 2 / 35

Classes Classes 2 / 35 Classes 1 / 35 Classes Classes 2 / 35 Anatomy of a Class By the end of next lecture, you ll understand everything in this class definition. package edu. gatech. cs1331. card ; import java. util. Arrays

More information

Chapter 3: Propositional Languages

Chapter 3: Propositional Languages Chapter 3: Propositional Languages We define here a general notion of a propositional language. We show how to obtain, as specific cases, various languages for propositional classical logic and some non-classical

More information

Programming Languages

Programming Languages CSE 130 : Fall 2008 Programming Languages Lecture 3: Epressions and Types Ranjit Jhala UC San Diego News PA 1 due (net) Fri 10/10 5pm PA 2 out today or tomorrow Office hours posted on Webpage: Held in

More information

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen

COP4020 Programming Languages. Functional Programming Prof. Robert van Engelen COP4020 Programming Languages Functional Programming Prof. Robert van Engelen Overview What is functional programming? Historical origins of functional programming Functional programming today Concepts

More information

Cyber Physical System Verification with SAL

Cyber Physical System Verification with SAL Cyber Physical System Verification with July 22, 2013 Cyber Physical System Verification with Outline 1 2 3 4 5 Cyber Physical System Verification with Table of Contents 1 2 3 4 5 Cyber Physical System

More information

CONTENTS. PART 1 Structured Programming 1. 1 Getting started 3. 2 Basic programming elements 17

CONTENTS. PART 1 Structured Programming 1. 1 Getting started 3. 2 Basic programming elements 17 List of Programs xxv List of Figures xxix List of Tables xxxiii Preface to second version xxxv PART 1 Structured Programming 1 1 Getting started 3 1.1 Programming 3 1.2 Editing source code 5 Source code

More information

The learning objectives of this chapter are the followings. At the end of this chapter, you shall

The learning objectives of this chapter are the followings. At the end of this chapter, you shall Chapter 5 Sequence diagrams In the previous chapters, we have seen different diagrams. Use case diagrams describe tasks that a system is supposed to perform. It gives high-level information about how a

More information

News. CSE 130: Programming Languages. Environments & Closures. Functions are first-class values. Recap: Functions as first-class values

News. CSE 130: Programming Languages. Environments & Closures. Functions are first-class values. Recap: Functions as first-class values CSE 130: Programming Languages Environments & Closures News PA 3 due THIS Friday (5/1) Midterm NEXT Friday (5/8) Ranjit Jhala UC San Diego Recap: Functions as first-class values Arguments, return values,

More information

Building Synchronous DataFlow graphs with UML & MARTE/CCSL

Building Synchronous DataFlow graphs with UML & MARTE/CCSL Building Synchronous DataFlow graphs with UML & MARTE/CCSL F. Mallet, J. DeAntoni, C. André, R. de Simone Aoste - INRIA/I3S Université de Nice Sophia Antipolis UML & Formal methods Ambiguity and structural

More information

Functional Programming in Java. CSE 219 Department of Computer Science, Stony Brook University

Functional Programming in Java. CSE 219 Department of Computer Science, Stony Brook University Functional Programming in Java CSE 219, Stony Brook University What is functional programming? There is no single precise definition of functional programming (FP) We should think of it as a programming

More information

Defining the Ethereum Virtual Machine for Interactive Theorem Provers

Defining the Ethereum Virtual Machine for Interactive Theorem Provers Defining the Ethereum Virtual Machine for Interactive Theorem Provers Ethereum Foundation Workshop on Trusted Smart Contracts Malta, Apr. 7, 2017 1/32 Outline 1 2 3 Remaining Problems 4 2/32 Outline 1

More information

Reactive Behavior in Object-oriented Applications: An Analysis and a Research Roadmap

Reactive Behavior in Object-oriented Applications: An Analysis and a Research Roadmap Reactive Behavior in Object-oriented Applications: An Analysis and a Research Roadmap Guido Salvaneschi Mira Mezini Software Technology Group, University of Darmstadt Outline Design space of OO reactive

More information

Programming Embedded Systems

Programming Embedded Systems Programming Embedded Systems Lecture 10 An introduction to Lustre Wednesday Feb 15, 2012 Philipp Rümmer Uppsala University Philipp.Ruemmer@it.uu.se 1/34 Course topic: programming lang. Which language to

More information

Object-Oriented Software Engineering Practical Software Development using UML and Java. Chapter 2: Review of Object Orientation

Object-Oriented Software Engineering Practical Software Development using UML and Java. Chapter 2: Review of Object Orientation Object-Oriented Software Engineering Practical Software Development using UML and Java Chapter 2: Review of Object Orientation 2.1 What is Object Orientation? Procedural paradigm: Software is organized

More information

Exam for 2G1512 DatalogiII, Apr 12th

Exam for 2G1512 DatalogiII, Apr 12th Exam for 2G1512 DatalogiII, Apr 12th 2002 09.00 14.00 Dept. of Microelectronics and Information Technology April 11, 2002 Allowed materials You are allowed to bring the course book and all handouts to

More information

Motivation was to facilitate development of systems software, especially OS development.

Motivation was to facilitate development of systems software, especially OS development. A History Lesson C Basics 1 Development of language by Dennis Ritchie at Bell Labs culminated in the C language in 1972. Motivation was to facilitate development of systems software, especially OS development.

More information

Lecture 2. The SCADE Language Data Flow Kernel. Daniel Kästner AbsInt GmbH 2012

Lecture 2. The SCADE Language Data Flow Kernel. Daniel Kästner AbsInt GmbH 2012 Lecture 2 The SCADE Language Data Flow Kernel Daniel Kästner AbsInt GmbH 2012 2 Synchronous Programming Two simple ways of implementing reactive systems: Event-driven Foreach input_event

More information

PROGRAM ANALYSIS & SYNTHESIS

PROGRAM ANALYSIS & SYNTHESIS Lecture 02 Structural Operational Semantics (SOS) PROGRAM ANALYSIS & SYNTHESIS EranYahav 1 Previously static analysis over-approximation of program behavior abstract interpretation abstraction, transformers,

More information

Tokalabs LaunchStation. Software Defined Solution for Inventory Management, Topology Creation, Test Automation, & Resource Utilization

Tokalabs LaunchStation. Software Defined Solution for Inventory Management, Topology Creation, Test Automation, & Resource Utilization Tokalabs LaunchStation Software Defined Solution for Inventory Management, Topology Creation, Test Automation, & Resource Utilization LaunchStation Overview Tokalabs LaunchStation (LS) is a Software Defined

More information

Integrating verification in programming languages

Integrating verification in programming languages Integrating verification in programming languages Thomas Jensen, INRIA Seminar INRIA Rennes, 04/11/2015 Collège de France Chaire Algorithmes, machines et langages x / y Types For division to make sense,

More information

for (i=1; i<=100000; i++) { x = sqrt (y); // square root function cout << x+i << endl; }

for (i=1; i<=100000; i++) { x = sqrt (y); // square root function cout << x+i << endl; } Ex: The difference between Compiler and Interpreter The interpreter actually carries out the computations specified in the source program. In other words, the output of a compiler is a program, whereas

More information

CPS 506 Comparative Programming Languages. Programming Language Paradigm

CPS 506 Comparative Programming Languages. Programming Language Paradigm CPS 506 Comparative Programming Languages Functional Programming Language Paradigm Topics Introduction Mathematical Functions Fundamentals of Functional Programming Languages The First Functional Programming

More information

Software Design and Analysis for Engineers

Software Design and Analysis for Engineers Software Design and Analysis for Engineers by Dr. Lesley Shannon Email: lshannon@ensc.sfu.ca Course Website: http://www.ensc.sfu.ca/~lshannon/courses/ensc251 Simon Fraser University Slide Set: 2 Date:

More information

Shell CSCE 314 TAMU. Haskell Functions

Shell CSCE 314 TAMU. Haskell Functions 1 CSCE 314: Programming Languages Dr. Dylan Shell Haskell Functions 2 Outline Defining Functions List Comprehensions Recursion 3 Conditional Expressions As in most programming languages, functions can

More information

Experimental New Directions for JavaScript

Experimental New Directions for JavaScript Experimental New Directions for JavaScript Andreas Rossberg, V8/Google Motivation Broad need for (more) scalable JavaScript Usability, esp. maintainability Performance, esp. predictability ES6 opens up

More information

CS 61A Interpreters, Tail Calls, Macros, Streams, Iterators. Spring 2019 Guerrilla Section 5: April 20, Interpreters.

CS 61A Interpreters, Tail Calls, Macros, Streams, Iterators. Spring 2019 Guerrilla Section 5: April 20, Interpreters. CS 61A Spring 2019 Guerrilla Section 5: April 20, 2019 1 Interpreters 1.1 Determine the number of calls to scheme eval and the number of calls to scheme apply for the following expressions. > (+ 1 2) 3

More information

Iteration -- Once Is Not Enough

Iteration -- Once Is Not Enough Iteration -- Once Is Not Enough ),7 Congratulations! The Day Find project is done! -- Reflect This is a significant accomplishment Understand a fundamental algorithm -- binary search Know how to search

More information

News. Programming Languages. Complex types: Lists. Recap: ML s Holy Trinity. CSE 130: Spring 2012

News. Programming Languages. Complex types: Lists. Recap: ML s Holy Trinity. CSE 130: Spring 2012 News CSE 130: Spring 2012 Programming Languages On webpage: Suggested HW #1 PA #1 (due next Fri 4/13) Lecture 2: A Crash Course in ML Please post questions to Piazza Ranjit Jhala UC San Diego Today: A

More information

Motivation was to facilitate development of systems software, especially OS development.

Motivation was to facilitate development of systems software, especially OS development. A History Lesson C Basics 1 Development of language by Dennis Ritchie at Bell Labs culminated in the C language in 1972. Motivation was to facilitate development of systems software, especially OS development.

More information

Declarative concurrency. March 3, 2014

Declarative concurrency. March 3, 2014 March 3, 2014 (DP) what is declarativeness lists, trees iterative comutation recursive computation (DC) DP and DC in Haskell and other languages 2 / 32 Some quotes What is declarativeness? ness is important

More information

Functional Programming

Functional Programming Functional Programming CS331 Chapter 14 Functional Programming Original functional language is LISP LISt Processing The list is the fundamental data structure Developed by John McCarthy in the 60 s Used

More information

Begin at the beginning

Begin at the beginning Begin at the beginning Expressions (Syntax) Exec-time Dynamic Values (Semantics) Compile-time Static Types 1. Programmer enters expression 2. ML checks if expression is well-typed Using a precise set of

More information

CS232 VHDL Lecture. Types

CS232 VHDL Lecture. Types CS232 VHDL Lecture VHSIC Hardware Description Language [VHDL] is a language used to define and describe the behavior of digital circuits. Unlike most other programming languages, VHDL is explicitly parallel.

More information

Chapter 3 - Simple JavaScript - Programming Basics. Lesson 1 - JavaScript: What is it and what does it look like?

Chapter 3 - Simple JavaScript - Programming Basics. Lesson 1 - JavaScript: What is it and what does it look like? Chapter 3 - Simple JavaScript - Programming Basics Lesson 1 - JavaScript: What is it and what does it look like? PP presentation JavaScript.ppt. Lab 3.1. Lesson 2 - JavaScript Comments, document.write(),

More information

Reviewing for the Midterm Covers chapters 1 to 5, 7 to 9. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013

Reviewing for the Midterm Covers chapters 1 to 5, 7 to 9. Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013 Reviewing for the Midterm Covers chapters 1 to 5, 7 to 9 Instructor: Scott Kristjanson CMPT 125/125 SFU Burnaby, Fall 2013 2 Things to Review Review the Class Slides: Key Things to Take Away Do you understand

More information

Concepts of Programming Languages

Concepts of Programming Languages Concepts of Programming Languages Lecture 15 - Functional Programming Patrick Donnelly Montana State University Spring 2014 Patrick Donnelly (Montana State University) Concepts of Programming Languages

More information

Dataflow Languages. Languages for Embedded Systems. Prof. Stephen A. Edwards. March Columbia University

Dataflow Languages. Languages for Embedded Systems. Prof. Stephen A. Edwards. March Columbia University Dataflow Languages Languages for Embedded Systems Prof. Stephen A. Edwards Columbia University March 2009 Philosophy of Dataflow Languages Drastically different way of looking at computation Von Neumann

More information

Streaming as a pattern. Peter Mattson, Richard Lethin Reservoir Labs

Streaming as a pattern. Peter Mattson, Richard Lethin Reservoir Labs Streaming as a pattern Peter Mattson, Richard Lethin Reservoir Labs Streaming as a pattern Streaming is a pattern in efficient implementations of computation- and data-intensive applications Pattern has

More information

CISC836: Models in Software Development: Methods, Techniques and Tools

CISC836: Models in Software Development: Methods, Techniques and Tools CISC836: Models in Software Development: Methods, Techniques and Tools Topic 3: Expressing Software Models Expressing SW models: Overview 1. Examples of software modeling languages 1. UML (for modeling

More information

APA Interprocedural Dataflow Analysis

APA Interprocedural Dataflow Analysis APA Interprocedural Dataflow Analysis Jurriaan Hage e-mail: J.Hage@uu.nl homepage: http://www.cs.uu.nl/people/jur/ Department of Information and Computing Sciences, Universiteit Utrecht May 1, 2014 The

More information

Lecture content. Course goals. Course Introduction. TDDA69 Data and Program Structure Introduction

Lecture content. Course goals. Course Introduction. TDDA69 Data and Program Structure Introduction Lecture content TDDA69 Data and Program Structure Introduction Cyrille Berger Course Introduction to the different Programming Paradigm The different programming paradigm Why different paradigms? Introduction

More information

Object Oriented Issues in VDM++

Object Oriented Issues in VDM++ Object Oriented Issues in VDM++ Nick Battle, Fujitsu UK (nick.battle@uk.fujitsu.com) Background VDMJ implemented VDM-SL first (started late 2007) Formally defined. Very few semantic problems VDM++ support

More information

Embedded Systems 7. Models of computation for embedded systems

Embedded Systems 7. Models of computation for embedded systems Embedded Systems 7 - - Models of computation for embedded systems Communication/ local computations Communicating finite state machines Data flow model Computational graphs Von Neumann model Discrete event

More information

Aggregation. Introduction to Computer Science I. Overview (1): Overview (2): CSE 1020 Summer Bill Kapralos. Bill Kapralos.

Aggregation. Introduction to Computer Science I. Overview (1): Overview (2): CSE 1020 Summer Bill Kapralos. Bill Kapralos. Aggregation Thursday, July 6 2006 CSE 1020, Summer 2006, Overview (1): Before We Begin Some administrative details Some questions to consider Aggregation Overview / Introduction The aggregate s constructor

More information

Death Stars & River Deltas. Toward a Functional Programming Analogy for Microservices

Death Stars & River Deltas. Toward a Functional Programming Analogy for Microservices Death Stars & River Deltas Toward a Functional Programming Analogy for Microservices Hi, I m Bobby I m on the Technology Fellows team at I dislike accidental complexity bobby.calderwood@capitalone.com

More information

Lecture 2: Control Flow Analysis

Lecture 2: Control Flow Analysis COM S/CPRE 513 x: Foundations and Applications of Program Analysis Spring 2018 Instructor: Wei Le Lecture 2: Control Flow Analysis 2.1 What is Control Flow Analysis Given program source code, control flow

More information

Introduction 2 The first synchronous language (early 80 s) Gérard Berry and his team (École des Mines de Paris / INRIA Sophia-Antipolis) Imperative, s

Introduction 2 The first synchronous language (early 80 s) Gérard Berry and his team (École des Mines de Paris / INRIA Sophia-Antipolis) Imperative, s Pascal Raymond, Verimag-CNRS Introduction 2 The first synchronous language (early 80 s) Gérard Berry and his team (École des Mines de Paris / INRIA Sophia-Antipolis) Imperative, sequential style (i.e.

More information

Testing, code coverage and static analysis. COSC345 Software Engineering

Testing, code coverage and static analysis. COSC345 Software Engineering Testing, code coverage and static analysis COSC345 Software Engineering Outline Various testing processes ad hoc / formal / automatic Unit tests and test driven development Code coverage metrics Integration

More information

The Esterel language

The Esterel language Pascal Raymond, Verimag-CNRS Introduction 2 The first synchronous language (early 80 s) Gérard Berry and his team (École des Mines de Paris / INRIA Sophia-Antipolis) Imperative, sequential style (i.e.

More information

Software Construction

Software Construction Lecture 7: Type Hierarchy, Iteration Abstraction Software Construction in Java for HSE Moscow Tom Verhoeff Eindhoven University of Technology Department of Mathematics & Computer Science Software Engineering

More information

1. true / false By a compiler we mean a program that translates to code that will run natively on some machine.

1. true / false By a compiler we mean a program that translates to code that will run natively on some machine. 1. true / false By a compiler we mean a program that translates to code that will run natively on some machine. 2. true / false ML can be compiled. 3. true / false FORTRAN can reasonably be considered

More information

CPSC 427: Object-Oriented Programming

CPSC 427: Object-Oriented Programming CPSC 427: Object-Oriented Programming Michael J. Fischer Lecture 7 September 21, 2016 CPSC 427, Lecture 7 1/21 Brackets Example (continued) Storage Management CPSC 427, Lecture 7 2/21 Brackets Example

More information

Synchronization SPL/2010 SPL/20 1

Synchronization SPL/2010 SPL/20 1 Synchronization 1 Overview synchronization mechanisms in modern RTEs concurrency issues places where synchronization is needed structural ways (design patterns) for exclusive access 2 Overview synchronization

More information

MODELING LANGUAGES AND ABSTRACT MODELS. Giovanni De Micheli Stanford University. Chapter 3 in book, please read it.

MODELING LANGUAGES AND ABSTRACT MODELS. Giovanni De Micheli Stanford University. Chapter 3 in book, please read it. MODELING LANGUAGES AND ABSTRACT MODELS Giovanni De Micheli Stanford University Chapter 3 in book, please read it. Outline Hardware modeling issues: Representations and models. Issues in hardware languages.

More information

Material: Specification and Reasoning. Book: Logic in Computer Science, M.Huth, M.Ryan, Cambridge University Press. Lectures mondays here,

Material: Specification and Reasoning. Book: Logic in Computer Science, M.Huth, M.Ryan, Cambridge University Press. Lectures mondays here, Material: Specification and Reasoning Lectures mondays here, Lecturer Pasquale Malacaria CS/428 Labs thursdays with Dino DiStefano Book: Logic in Computer Science, M.Huth, M.Ryan, Cambridge University

More information

Abstract Interpretation

Abstract Interpretation Abstract Interpretation Ranjit Jhala, UC San Diego April 22, 2013 Fundamental Challenge of Program Analysis How to infer (loop) invariants? Fundamental Challenge of Program Analysis Key issue for any analysis

More information

n Takes abstract syntax trees as input n In simple cases could be just strings n One procedure for each syntactic category

n Takes abstract syntax trees as input n In simple cases could be just strings n One procedure for each syntactic category Interpreter Programming Languages and Compilers (CS 421) Elsa L Gunter 2112 SC, UIUC http://courses.engr.illinois.edu/cs421 Based in part on slides by Mattox Beckman, as updated by Vikram Adve and Gul

More information

Streams. CS21b: Structure and Interpretation of Computer Programs Spring Term, 2004

Streams. CS21b: Structure and Interpretation of Computer Programs Spring Term, 2004 Streams CS21b: Structure and Interpretation of Computer Programs Spring Term, 2004 We ve already seen how evaluation order can change behavior when we program with state. Now we want to investigate how

More information

Programming Languages and Compilers (CS 421)

Programming Languages and Compilers (CS 421) Programming Languages and Compilers (CS 421) Sasa Misailovic 4110 SC, UIUC https://courses.engr.illinois.edu/cs421/fa2017/cs421a Based in part on slides by Mattox Beckman, as updated by Vikram Adve, Gul

More information

An Introduction to Software Architecture

An Introduction to Software Architecture An Introduction to Software Architecture Software Engineering Design Lecture 11 Motivation for studying SW architecture As the size of SW systems increases, the algorithms and data structures of the computation

More information

CS3360 Design and Implementation of Programming Languages Final Exam May 16, pm to 12:45pm (2 hour and 40 minutes) NAME:

CS3360 Design and Implementation of Programming Languages Final Exam May 16, pm to 12:45pm (2 hour and 40 minutes) NAME: CS3360 Design and Implementation of Programming Languages Final Exam May 16, 2013 10pm to 12:45pm (2 hour and 40 minutes) NAME: GRADE = / 140 1. Choice of Programming Languages / 25 2. Programming languages:

More information

CPSC/ECE 3220 Fall 2017 Exam Give the definition (note: not the roles) for an operating system as stated in the textbook. (2 pts.

CPSC/ECE 3220 Fall 2017 Exam Give the definition (note: not the roles) for an operating system as stated in the textbook. (2 pts. CPSC/ECE 3220 Fall 2017 Exam 1 Name: 1. Give the definition (note: not the roles) for an operating system as stated in the textbook. (2 pts.) Referee / Illusionist / Glue. Circle only one of R, I, or G.

More information

Paradigms of computer programming

Paradigms of computer programming Paradigms of computer programming Louv1.1x and Louv1.2x form a two-course sequence Together they teach programming as a unified discipline that covers all programming languages Second-year university level:

More information

Example Scheme Function: equal

Example Scheme Function: equal ICOM 4036 Programming Languages Functional Programming Languages Mathematical Functions Fundamentals of Functional Programming Languages The First Functional Programming Language: LISP Introduction to

More information

Model Checking Revision: Model Checking for Infinite Systems Revision: Traffic Light Controller (TLC) Revision: 1.12

Model Checking Revision: Model Checking for Infinite Systems Revision: Traffic Light Controller (TLC) Revision: 1.12 Model Checking mc Revision:.2 Model Checking for Infinite Systems mc 2 Revision:.2 check algorithmically temporal / sequential properties fixpoint algorithms with symbolic representations: systems are

More information

D Programming Language

D Programming Language Group 14 Muazam Ali Anil Ozdemir D Programming Language Introduction and Why D? It doesn t come with a religion this is written somewhere along the overview of D programming language. If you actually take

More information

Applying Patterns with UML

Applying Patterns with UML Applying Patterns with UML 1HZV&KDQQHO QRWLI\ DGG2EVHUYHU UHPRYH2EVHUYHU DGG1HZV JHW/DWHVW1HZV 1HZV5HDGHU XSGDWH REVHUYHU 2EVHUYHU II-29 Malformed Observer Pattern (1/3) 1HZV&KDQQHO No specific getdata

More information

Introducing Wybe a language for everyone

Introducing Wybe a language for everyone Introducing Wybe a language for everyone Peter Schachte joint work with Matthew Giuca The University of Melbourne Department of Computing and Information Systems 4 December 2013 Peter Schachte (Melbourne)

More information

CS 360 Programming Languages Interpreters

CS 360 Programming Languages Interpreters CS 360 Programming Languages Interpreters Implementing PLs Most of the course is learning fundamental concepts for using and understanding PLs. Syntax vs. semantics vs. idioms. Powerful constructs like

More information

Subclassing for ADTs Implementation

Subclassing for ADTs Implementation Object-Oriented Design Lecture 8 CS 3500 Fall 2009 (Pucella) Tuesday, Oct 6, 2009 Subclassing for ADTs Implementation An interesting use of subclassing is to implement some forms of ADTs more cleanly,

More information

Detecting and Preventing Power Outages in a Smart Grid using emoflon

Detecting and Preventing Power Outages in a Smart Grid using emoflon Detecting and Preventing Power Outages in a Smart Grid using emoflon Sven Peldszus, Jens Bürger, Daniel Strüber {speldszus,buerger,strueber}@uni-koblenz.de University of Koblenz and Landau Abstract We

More information

Recap: Pointers. int* int& *p &i &*&* ** * * * * IFMP 18, M. Schwerhoff

Recap: Pointers. int* int& *p &i &*&* ** * * * * IFMP 18, M. Schwerhoff Recap: Pointers IFMP 18, M. Schwerhoff int* int& *p &i &*&* ** * * * * A 0 A 1 A 2 A 3 A 4 A 5 A 0 A 1 A 2 A 3 A 4 A 5 5 i int* p; A 0 A 1 A 2 A 3 A 4 A 5 5 i p int* p; p = &i; A 0 A 1 A 2 A 3 A 4 A 5

More information

Programming Languages

Programming Languages CSE 130 : Fall 2008 Programming Languages Lecture 2: A Crash Course in ML Ranjit Jhala UC San Diego News On webpage: Suggested HW #1, sample for Quiz #1 on Thu PA #1 (due next Fri 10/10) No make-up quizzes

More information

Date Performed: Marks Obtained: /10. Group Members (ID):. Experiment # 11. Introduction to Verilog II Sequential Circuits

Date Performed: Marks Obtained: /10. Group Members (ID):. Experiment # 11. Introduction to Verilog II Sequential Circuits Name: Instructor: Engr. Date Performed: Marks Obtained: /10 Group Members (ID):. Checked By: Date: Experiment # 11 Introduction to Verilog II Sequential Circuits OBJECTIVES: To understand the concepts

More information

Side note: Tail Recursion. Begin at the beginning. Side note: Tail Recursion. Base Types. Base Type: int. Base Type: int

Side note: Tail Recursion. Begin at the beginning. Side note: Tail Recursion. Base Types. Base Type: int. Base Type: int Begin at the beginning Epressions (Synta) Compile-time Static Eec-time Dynamic Types Values (Semantics) 1. Programmer enters epression 2. ML checks if epression is well-typed Using a precise set of rules,

More information