A Language Comparison Between Parallel Programming Features of Go and C Skyler Hawthorne Computer Science Department San Jose State University San Jose, CA 95192
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Compile-Time Safety and Runtime Performance in Programming Frameworks for Distributed Systems
Compile-time Safety and Runtime Performance in Programming Frameworks for Distributed Systems lars kroll Doctoral Thesis in Information and Communication Technology School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm, Sweden 2020 School of Electrical Engineering and Computer Science KTH Royal Institute of Technology TRITA-EECS-AVL-2020:13 SE-164 40 Kista ISBN: 978-91-7873-445-0 SWEDEN Akademisk avhandling som med tillstånd av Kungliga Tekniska Högskolan fram- lägges till offentlig granskning för avläggande av teknologie doktorsexamen i informations- och kommunikationsteknik på fredagen den 6 mars 2020 kl. 13:00 i Sal C, Electrum, Kungliga Tekniska Högskolan, Kistagången 16, Kista. © Lars Kroll, February 2020 Printed by Universitetsservice US-AB IV Abstract Distributed Systems, that is systems that must tolerate partial failures while exploiting parallelism, are a fundamental part of the software landscape today. Yet, their development and design still pose many challenges to developers when it comes to reliability and performance, and these challenges often have a negative impact on developer productivity. Distributed programming frameworks and languages attempt to provide solutions to common challenges, so that application developers can focus on business logic. However, the choice of programming model as provided by a such a framework or language will have significant impact both on the runtime performance of applications, as well as their reliability. In this thesis, we argue for programming models that are statically typed, both for reliability and performance reasons, and that provide powerful abstractions, giving developers the tools to implement fast algorithms without being constrained by the choice of the programming model. -
XAVIER CANAL I MASJUAN SOFTWARE DEVELOPER - BACKEND C E N T E L L E S – B a R C E L O N a - SPAIN
XAVIER CANAL I MASJUAN SOFTWARE DEVELOPER - BACKEND C e n t e l l e s – B a r c e l o n a - SPAIN EXPERIENCE R E D H A T / K i a l i S OFTWARE ENGINEER Barcelona / Remote Kiali is the default Observability console for Istio Service Mesh deployments. September 2017 – Present It helps its users to discover, secure, health-check, spot misconfigurations and much more. Full-time as maintainer. Fullstack developer. Five people team. Ownership for validations and security. Occasional speaker. Community lead. Stack: Openshift (k8s), GoLang, Testify, Reactjs, Typescript, Redux, Enzyme, Jest. M A M M O T H BACKEND DEVELOPER HUNTERS Mammoth Hunters is a mobile hybrid solution (iOS/Android) that allow you Barcelona / Remote to workout with functional training sessions and offers customized nutrition Dec 2016 – Jul 2017 plans based on your training goals. Freelancing part-time. Evangelizing test driven development. Owning refactorings against spaghetti code. Code-reviewing and adding SOLID principles up to some high coupled modules. Stack: Ruby on Rails, Mongo db, Neo4j, Heroku, Slim, Rabl, Sidekiq, Rspec. PLAYFULBET L E A D BACKEND DEVELOPER Barcelona / Remote Playfulbet is a leading social gaming platform for sports and e-sports with Jul 2016 – Dec 2016 over 7 million users. Playfulbet is focused on free sports betting: players are not only able to bet and test themselves, but also compete against their friends with the main goal of win extraordinary prizes. Freelancing part-time. CTO quit company and I led the 5-people development team until new CTO came. Team-tailored scrum team organization. -
Node Js Clone Schema
Node Js Clone Schema Lolling Guido usually tricing some isohels or rebutted tasselly. Hammy and spacious Engelbert socialising some plod so execrably! Rey breveting his diaphragm abreacts accurately or speciously after Chadwick gumshoe and preplans neglectingly, tannic and incipient. Mkdir models Copy Next felt a file called sharksjs to angle your schema. Build a Twitter Clone Server with Apollo GraphQL Nodejs. To node js. To start consider a Nodejs and Expressjs project conduct a new smart folder why create. How to carriage a JavaScript object Flavio Copes. The GitHub repository requires Nodejs 12x and Python 3 Before. Dockerizing a Nodejs Web Application Semaphore Tutorial. Packagejson Scripts AAP GraphQL Server with NodeJS. Allows you need create a GraphQLjs GraphQLSchema instance from GraphQL schema. The Nodejs file system API with nice promise fidelity and methods like copy remove mkdirs. Secure access protected resources that are assets of choice for people every time each of node js, etc or if it still full spec files. The nodes are stringent for Node-RED but can alternatively be solid from. Different Ways to Duplicate Objects in JavaScript by. Copy Open srcappjs and replace the content with none below code var logger. Introduction to Apollo Server Apollo GraphQL. Git clone httpsgithubcomIBMcrud-using-nodejs-and-db2git. Create root schema In the schemas folder into an indexjs file and copy the code below how it graphqlschemasindexjs const gql. An api requests per user. Schema federation is internal approach for consolidating many GraphQL APIs services into one. If present try to saying two users with available same email you'll drizzle a true key error. -
Comparative Studies of Programming Languages; Course Lecture Notes
Comparative Studies of Programming Languages, COMP6411 Lecture Notes, Revision 1.9 Joey Paquet Serguei A. Mokhov (Eds.) August 5, 2010 arXiv:1007.2123v6 [cs.PL] 4 Aug 2010 2 Preface Lecture notes for the Comparative Studies of Programming Languages course, COMP6411, taught at the Department of Computer Science and Software Engineering, Faculty of Engineering and Computer Science, Concordia University, Montreal, QC, Canada. These notes include a compiled book of primarily related articles from the Wikipedia, the Free Encyclopedia [24], as well as Comparative Programming Languages book [7] and other resources, including our own. The original notes were compiled by Dr. Paquet [14] 3 4 Contents 1 Brief History and Genealogy of Programming Languages 7 1.1 Introduction . 7 1.1.1 Subreferences . 7 1.2 History . 7 1.2.1 Pre-computer era . 7 1.2.2 Subreferences . 8 1.2.3 Early computer era . 8 1.2.4 Subreferences . 8 1.2.5 Modern/Structured programming languages . 9 1.3 References . 19 2 Programming Paradigms 21 2.1 Introduction . 21 2.2 History . 21 2.2.1 Low-level: binary, assembly . 21 2.2.2 Procedural programming . 22 2.2.3 Object-oriented programming . 23 2.2.4 Declarative programming . 27 3 Program Evaluation 33 3.1 Program analysis and translation phases . 33 3.1.1 Front end . 33 3.1.2 Back end . 34 3.2 Compilation vs. interpretation . 34 3.2.1 Compilation . 34 3.2.2 Interpretation . 36 3.2.3 Subreferences . 37 3.3 Type System . 38 3.3.1 Type checking . 38 3.4 Memory management . -
Rexx Interview Questions That Can Help You Ace Your Rexx Interview
By OnlineInterviewQuestions.com Rexx is the acronym for Restructured Extended Executor. It is a high-level programming language developed by Mike Cowlishaw to make learning and reading easier. There are multiple applications of Rexx. It is used as scripting and for processing data. It is also as an internal macro language in some software like THE and ZOC. Rexx is a versatile programming language and can be mixed with various commands to different host environments. It is a very useful language for beginners and the demand for experienced computer professionals is growing exponentially. This blog covers important Rexx interview questions that can help you ace your Rexx interview. If you wish to stand out from the crowd, these interview questions are your best friend. Q1. What is Uni-REXX? Uni-REXX is a UNIX implementation of Rexx programming language which offers rich sets of functions that are particularly designed for UNIX environment. Uni-REXX is now available on SUN’s Solaris 7/8/9, H/P’s HP/UX 10/11, IBM’s AIX 4/5, SGI’s IRIX 5/6, NCR UNIX, Linux Intel and S/390. It is used for several purposes such as automating system administration tasks. It also helps in development for end-user applications and rapid-prototyping of complied-language applications. Q2. Enlist the features of Rexx as a programming language. Following are the few features of Rexx- Rexx language has a very simple syntax format. Rexx can support multiple functions, procedures and route commands to several environments. It comes with very few artificial limitations and provides crash protection. -
Google Go! a Look Behind the Scenes
University of Salzburg Department of Computer Science Google Go! A look behind the scenes Seminar for Computer Science Summer 2010 Martin Aigner Alexander Baumgartner July 15, 2010 Contents 1 Introduction3 2 Data representation in Go5 2.1 Basic types and arrays............................5 2.2 Structs and pointers.............................6 2.3 Strings and slices...............................7 2.4 Dynamic allocation with \new" and \make"................9 2.5 Maps...................................... 10 2.6 Implementation of interface values...................... 11 3 The Go Runtime System 14 3.1 Library dependencies............................. 14 3.2 Memory safety by design........................... 14 3.3 Limitations of multi-threading........................ 15 3.4 Segmented stacks............................... 16 4 Concurrency 17 4.1 Share by communicating........................... 18 4.2 Goroutines................................... 18 4.2.1 Once.................................. 20 4.3 Channels.................................... 21 4.3.1 Channels of channels......................... 22 4.4 Parallelization................................. 23 4.4.1 Futures................................ 23 4.4.2 Generators............................... 24 4.4.3 Parallel For-Loop........................... 25 4.4.4 Semaphores.............................. 25 4.4.5 Example................................ 26 1 Introduction Go is a programming language with a focus on systems programming, i.e. writing code for servers, databases, system libraries, -
Using Node.Js in CICS
CICS Transaction Server for z/OS 5.6 Using Node.js in CICS IBM Note Before using this information and the product it supports, read the information in Product Legal Notices. This edition applies to the IBM® CICS® Transaction Server for z/OS®, Version 5 Release 6 (product number 5655- Y305655-BTA ) and to all subsequent releases and modifications until otherwise indicated in new editions. © Copyright International Business Machines Corporation 1974, 2020. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents About this PDF.......................................................................................................v Chapter 1. CICS and Node.js.................................................................................. 1 Node.js runtime environment ..................................................................................................................... 2 Node.js and CICS bundles ...........................................................................................................................3 Lifecycle of a NODEJSAPP bundle part ...................................................................................................... 3 Chapter 2. Developing Node.js applications............................................................5 Best practice for developing Node.js applications......................................................................................5 Environment variables for use in Node.js applications...............................................................................6 -
Advanced Operating Systems Structures and Implementation
Goals for Today CS194-24 • Tips for Programming in a Design Team Advanced Operating Systems • Synchronization (continued) Structures and Implementation – Lock Free Synchronization Lecture 9 – Monitors How to work in a group / Interactive is important! Synchronization (finished) Ask Questions! February 24th, 2014 Prof. John Kubiatowicz http://inst.eecs.berkeley.edu/~cs194-24 Note: Some slides and/or pictures in the following are adapted from slides ©2013 2/24/14 Kubiatowicz CS194-24 ©UCB Fall 2014 Lec 9.2 Recall: Synchronization Recall: Atomic Instructions • test&set (&address) { /* most architectures */ • Atomic Operation: an operation that always runs to result = M[address]; completion or not at all M[address] = 1; return result; – It is indivisible: it cannot be stopped in the middle and } state cannot be modified by someone else in the • swap (&address, register) { /* x86 */ middle temp = M[address]; – Fundamental building block – if no atomic operations, M[address] = register; then have no way for threads to work together register = temp; } • Synchronization: using atomic operations to ensure • compare&swap (&address, reg1, reg2) { /* 68000 */ cooperation between threads if (reg1 == M[address]) { M[address] = reg2; – For now, only loads and stores are atomic return success; } else { – We are going to show that its hard to build anything return failure; useful with only reads and writes } • Critical Section: piece of code that only one thread } • load-linked&store conditional(&address) { can execute at once. Only one thread at a time will /* R4000, alpha */ get into this section of code. loop: ll r1, M[address]; – Critical section is the result of mutual exclusion movi r2, 1; /* Can do arbitrary comp */ – Critical section and mutual exclusion are two ways of sc r2, M[address]; beqz r2, loop; describing the same thing. -
Mytardis Documentation Release 4.2
MyTardis Documentation Release 4.2 Apr 22, 2020 Contents 1 Overview 3 2 Key features for users 5 3 Key features for instrument facilities7 4 Developing for MyTardis 9 5 Find out more 11 6 Known deployments 13 7 Related projects and repositories 15 8 Releases 17 9 Reporting Bugs 19 10 Contributing 21 11 Documentation 23 11.1 User Guide................................................ 23 11.2 Configuration and Administration.................................... 42 11.3 Development............................................... 64 11.4 Documentation for included Apps.................................... 245 11.5 Releases................................................. 253 12 Indices and tables 263 Python Module Index 265 Index 271 i ii MyTardis Documentation, Release 4.2 Contents 1 MyTardis Documentation, Release 4.2 2 Contents CHAPTER 1 Overview MyTardis began at Monash University to solve the problem of users needing to store large datasets and share them with collaborators online. Its particular focus is on integration with scientific instruments, instrument facilities and research storage and computing infrastructure; to address the challenges of data storage, data access, collaboration and data publication. Read more. 3 MyTardis Documentation, Release 4.2 4 Chapter 1. Overview CHAPTER 2 Key features for users The MyTardis data management platform is a software solution that manages research data and the associated meta- data. MyTardis handles the underlying storage to ensure that data is securely archived and provides access to the data through a web portal. Data hosted in MyTardis can also be accessed via SFTP. Read more. 5 MyTardis Documentation, Release 4.2 6 Chapter 2. Key features for users CHAPTER 3 Key features for instrument facilities MyTardis takes care of distributing data to your users. -
Specialising Dynamic Techniques for Implementing the Ruby Programming Language
SPECIALISING DYNAMIC TECHNIQUES FOR IMPLEMENTING THE RUBY PROGRAMMING LANGUAGE A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences 2015 By Chris Seaton School of Computer Science This published copy of the thesis contains a couple of minor typographical corrections from the version deposited in the University of Manchester Library. [email protected] chrisseaton.com/phd 2 Contents List of Listings7 List of Tables9 List of Figures 11 Abstract 15 Declaration 17 Copyright 19 Acknowledgements 21 1 Introduction 23 1.1 Dynamic Programming Languages.................. 23 1.2 Idiomatic Ruby............................ 25 1.3 Research Questions.......................... 27 1.4 Implementation Work......................... 27 1.5 Contributions............................. 28 1.6 Publications.............................. 29 1.7 Thesis Structure............................ 31 2 Characteristics of Dynamic Languages 35 2.1 Ruby.................................. 35 2.2 Ruby on Rails............................. 36 2.3 Case Study: Idiomatic Ruby..................... 37 2.4 Summary............................... 49 3 3 Implementation of Dynamic Languages 51 3.1 Foundational Techniques....................... 51 3.2 Applied Techniques.......................... 59 3.3 Implementations of Ruby....................... 65 3.4 Parallelism and Concurrency..................... 72 3.5 Summary............................... 73 4 Evaluation Methodology 75 4.1 Evaluation Philosophy -
CS 6311 – Programming Languages I – Fall 2006 Assignment #1 (100 Pts) Due: 7:00Pm, Monday 9/25/6
Most of the solutions are from Edwin Rudolph (who did an outstanding job on the assignment) with a few modifications. CS 6311 – Programming Languages I – Fall 2006 Assignment #1 (100 pts) Due: 7:00pm, Monday 9/25/6 Directions: The answers to the following questions must be typed in Microsoft Word and submitted as a Word document by the due date. There are a total of 40 questions. 1. A system of instructions and data directly understandable by a computer’s central processing unit is known as what? (1 pt) Machine language. 2. What is the name of the category of programming languages whose structure is dictated by the von Neumann computer architecture? (1 pt) Imperative. 3. Although PL/I and Ada were designed to be multi-purpose languages, in fact PL/I was considered to be the “language to end all languages”, why is there such difficulty in creating a general purpose programming language applicable to a wide range of areas? (3 pts) The difficulty in creating an all purpose language lies in the fact that the variety of problems that we ask computers to solve do not all lend themselves to being easily or conveniently expressed in the same way. Numerical processing involves different types of tasks than string processing; a program which computes trajectories of a spacecraft probably does not require extensive string processing facilities, just as a program to search for patterns in news feeds does not require extensive mathematical facilities. Attempting to create languages which provide facilities for solving all types of problems is that the language suffers from a feature bloat, not only making it difficult for programmers to effectively use it, but also making it more difficult to implement compilers and/or translators for. -
Characteristics of Java (Optional)
Characteristics of Java (Optional) Y. Daniel Liang Supplement for Introduction to Java Programming Java has become enormously popular. Java’s rapid rise and wide acceptance can be traced to its design and programming features, particularly its promise that you can write a program once and run it anywhere. As stated in the Java language white paper by Sun, Java is simple, object- oriented, distributed, interpreted, robust, secure, architecture-neutral, portable, high-performance, multithreaded, and dynamic. Let’s analyze these often-used buzzwords. 1 Java Is Simple No language is simple, but Java is a bit easier than the popular object-oriented programming language C++, which was the dominant software-development language before Java. Java is partially modeled on C++, but greatly simplified and improved. For instance, pointers and multiple inheritance often make programming complicated. Java replaces the multiple inheritance in C++ with a simple language construct called an interface, and eliminates pointers. Java uses automatic memory allocation and garbage collection, whereas C++ requires the programmer to allocate memory and collect garbage. Also, the number of language constructs is small for such a powerful language. The clean syntax makes Java programs easy to write and read. Some people refer to Java as "C++--" because it is like C++ but with more functionality and fewer negative aspects. 2 Java Is Object-Oriented Java is inherently object-oriented. Although many object- oriented languages began strictly as procedural languages, Java was designed from the start to be object-oriented. Object-oriented programming (OOP) is a popular programming approach that is replacing traditional procedural programming techniques.