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An Array-Oriented Language with Static Rank Polymorphism
An array-oriented language with static rank polymorphism Justin Slepak, Olin Shivers, and Panagiotis Manolios Northeastern University fjrslepak,shivers,[email protected] Abstract. The array-computational model pioneered by Iverson's lan- guages APL and J offers a simple and expressive solution to the \von Neumann bottleneck." It includes a form of rank, or dimensional, poly- morphism, which renders much of a program's control structure im- plicit by lifting base operators to higher-dimensional array structures. We present the first formal semantics for this model, along with the first static type system that captures the full power of the core language. The formal dynamic semantics of our core language, Remora, illuminates several of the murkier corners of the model. This allows us to resolve some of the model's ad hoc elements in more general, regular ways. Among these, we can generalise the model from SIMD to MIMD computations, by extending the semantics to permit functions to be lifted to higher- dimensional arrays in the same way as their arguments. Our static semantics, a dependent type system of carefully restricted power, is capable of describing array computations whose dimensions cannot be determined statically. The type-checking problem is decidable and the type system is accompanied by the usual soundness theorems. Our type system's principal contribution is that it serves to extract the implicit control structure that provides so much of the language's expres- sive power, making this structure explicitly apparent at compile time. 1 The Promise of Rank Polymorphism Behind every interesting programming language is an interesting model of com- putation. -
Compendium of Technical White Papers
COMPENDIUM OF TECHNICAL WHITE PAPERS Compendium of Technical White Papers from Kx Technical Whitepaper Contents Machine Learning 1. Machine Learning in kdb+: kNN classification and pattern recognition with q ................................ 2 2. An Introduction to Neural Networks with kdb+ .......................................................................... 16 Development Insight 3. Compression in kdb+ ................................................................................................................. 36 4. Kdb+ and Websockets ............................................................................................................... 52 5. C API for kdb+ ............................................................................................................................ 76 6. Efficient Use of Adverbs ........................................................................................................... 112 Optimization Techniques 7. Multi-threading in kdb+: Performance Optimizations and Use Cases ......................................... 134 8. Kdb+ tick Profiling for Throughput Optimization ....................................................................... 152 9. Columnar Database and Query Optimization ............................................................................ 166 Solutions 10. Multi-Partitioned kdb+ Databases: An Equity Options Case Study ............................................. 192 11. Surveillance Technologies to Effectively Monitor Algo and High Frequency Trading .................. -
NOVEMBER 18 • WEDNESDAY Build Stuff'15 Lithuania
Build Stuff'15 Lithuania NOVEMBER 18 • WEDNESDAY A Advanced B Beginner I Intermediate N NonTechnical 08:30 – 09:00 Registration 1. Alfa Speakers: Registration 09:00 – 09:15 Welcome talk 1. Alfa Speakers: Welcome talk 09:00 – 18:00 Open Space 6. Lobby Speakers: Open Space Sponsors: 4Finance, Devbridge, Storebrand, Visma Lietuva, WIX Lietuva 09:15 – 10:15 B Uncle Bob / Robert Martin @unclebobmartin The Last Programming Language 1. Alfa Speakers: Uncle Bob / Robert Martin For the last 50 years we’ve been exploring language after language. Now many of the “new” languages are actually quite old. The latest fad is “functional programming” which got it’s roots back in the 50s. Have we come full circle? Have we explored all the different kinds of languages? Is it time for us to finally decide on a single language for all software development? In this talk Uncle Bob walks through some of the history of programming languages, and then prognosticates on the future of languages. 10:15 – 10:35 Coffee/tea break 1. Alfa Speakers: Coffee/tea break 10:35 – 11:30 I Dmytro Mindra @dmytromindra Refactoring Legacy Code 5. Theta Speakers: Dmytro Mindra Every programmer has to face legacy code day after day. It might be ugly, it might look scary, it can make a grown man cry. Some will throw it away and try rewriting everything from scratch. Most of them will fail. Refactoring legacy code is a much better idea. It is not so scary when you take it in very small bites, introduce small changes, add unit tests. -
The Best of Both Worlds?
The Best of Both Worlds? Reimplementing an Object-Oriented System with Functional Programming on the .NET Platform and Comparing the Two Paradigms Erik Bugge Thesis submitted for the degree of Master in Informatics: Programming and Networks 60 credits Department of Informatics Faculty of mathematics and natural sciences UNIVERSITY OF OSLO Autumn 2019 The Best of Both Worlds? Reimplementing an Object-Oriented System with Functional Programming on the .NET Platform and Comparing the Two Paradigms Erik Bugge © 2019 Erik Bugge The Best of Both Worlds? http://www.duo.uio.no/ Printed: Reprosentralen, University of Oslo Abstract Programming paradigms are categories that classify languages based on their features. Each paradigm category contains rules about how the program is built. Comparing programming paradigms and languages is important, because it lets developers make more informed decisions when it comes to choosing the right technology for a system. Making meaningful comparisons between paradigms and languages is challenging, because the subjects of comparison are often so dissimilar that the process is not always straightforward, or does not always yield particularly valuable results. Therefore, multiple avenues of comparison must be explored in order to get meaningful information about the pros and cons of these technologies. This thesis looks at the difference between the object-oriented and functional programming paradigms on a higher level, before delving in detail into a development process that consisted of reimplementing parts of an object- oriented system into functional code. Using results from major comparative studies, exploring high-level differences between the two paradigms’ tools for modular programming and general program decompositions, and looking at the development process described in detail in this thesis in light of the aforementioned findings, a comparison on multiple levels was done. -
Application and Interpretation
Programming Languages: Application and Interpretation Shriram Krishnamurthi Brown University Copyright c 2003, Shriram Krishnamurthi This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License. If you create a derivative work, please include the version information below in your attribution. This book is available free-of-cost from the author’s Web site. This version was generated on 2007-04-26. ii Preface The book is the textbook for the programming languages course at Brown University, which is taken pri- marily by third and fourth year undergraduates and beginning graduate (both MS and PhD) students. It seems very accessible to smart second year students too, and indeed those are some of my most successful students. The book has been used at over a dozen other universities as a primary or secondary text. The book’s material is worth one undergraduate course worth of credit. This book is the fruit of a vision for teaching programming languages by integrating the “two cultures” that have evolved in its pedagogy. One culture is based on interpreters, while the other emphasizes a survey of languages. Each approach has significant advantages but also huge drawbacks. The interpreter method writes programs to learn concepts, and has its heart the fundamental belief that by teaching the computer to execute a concept we more thoroughly learn it ourselves. While this reasoning is internally consistent, it fails to recognize that understanding definitions does not imply we understand consequences of those definitions. For instance, the difference between strict and lazy evaluation, or between static and dynamic scope, is only a few lines of interpreter code, but the consequences of these choices is enormous. -
On the Cognitive Prerequisites of Learning Computer Programming
On the Cognitive Prerequisites of Learning Computer Programming Roy D. Pea D. Midian Kurland Technical Report No. 18 ON THE COGNITIVE PREREQUISITES OF LEARNING COMPUTER PROGRAMMING* Roy D. Pea and D. Midian Kurland Introduction Training in computer literacy of some form, much of which will consist of training in computer programming, is likely to involve $3 billion of the $14 billion to be spent on personal computers by 1986 (Harmon, 1983). Who will do the training? "hardware and software manu- facturers, management consultants, -retailers, independent computer instruction centers, corporations' in-house training programs, public and private schools and universities, and a variety of consultants1' (ibid.,- p. 27). To date, very little is known about what one needs to know in order to learn to program, and the ways in which edu- cators might provide optimal learning conditions. The ultimate suc- cess of these vast training programs in programming--especially toward the goal of providing a basic computer programming compe- tency for all individuals--will depend to a great degree on an ade- quate understanding of the developmental psychology of programming skills, a field currently in its infancy. In the absence of such a theory, training will continue, guided--or to express it more aptly, misguided--by the tacit Volk theories1' of programming development that until now have served as the underpinnings of programming instruction. Our paper begins to explore the complex agenda of issues, promise, and problems that building a developmental science of programming entails. Microcomputer Use in Schools The National Center for Education Statistics has recently released figures revealing that the use of micros in schools tripled from Fall 1980 to Spring 1983. -
A Guide to PL/M Programming
INTEL CORP. 3065 Bowers Avenue, Santa Clara, California 95051 • (408) 246-7501 mcs=a A Guide to PL/M programming PL/M is a new high level programming language designed specifically for Intel's 8 bit microcomputers. The new language gives the microcomputer systems program mer the same advantages of high level language programming currently available in the mini and large computer fields. Designed to meet the special needs of systems programming, the new language will drastically cut microcomputer programming time and costs without sacrifice of program efficiency. in addition, training, docu mentation, program maintenance and the inclusion of library subroutines will all be made correspondingly easier. PL/M is well suited for all microcomputer program ming applications, retaining the control and efficiency of assembly language, while greatly reducing programming effort The PL/M compiler is written in ANSI stand ard Fortran I V and thus will execute on most machines without alteration. SEPTEMBER 1973 REV.1 © Intel Corporation 1973 TABLE OF CONTENTS Section Page I. INTRODUCTION TO PL/M 1 II. A TUTORIAL APPROACH TO PL/M ............................ 2 1. The Organization of a PL/M Program ........................ 2 2. Basic Constituents of a PL/M Program ....................... 4 2.1. PL/M Character Set ................................ 4 2.2. Identifiers and Reserved Words ....................... 5 2.3. Comments . 7 3. PL/M Statement Organization . 7 4. PL/M Data Elements . 9 4.1. Variable Declarations ............................... 9 4.2. Byte and Double Byte Constants. .. 10 5. Well-Formed Expressions and Assignments . 11 6. A Simple Example. 15 7. DO-Groups. 16 7.1. The DO-WHILE Group ........... -
Visual Programming Language for Tacit Subset of J Programming Language
Visual Programming Language for Tacit Subset of J Programming Language Nouman Tariq Dissertation 2013 Erasmus Mundus MSc in Dependable Software Systems Department of Computer Science National University of Ireland, Maynooth Co. Kildare, Ireland A dissertation submitted in partial fulfilment of the requirements for the Erasmus Mundus MSc Dependable Software Systems Head of Department : Dr Adam Winstanley Supervisor : Professor Ronan Reilly June 30, 2013 Declaration I hereby certify that this material, which I now submit for assessment on the program of study leading to the award of Master of Science in Dependable Software Systems, is entirely my own work and has not been taken from the work of others save and to the extent that such work has been cited and acknowledged within the text of my work. Signed:___________________________ Date:___________________________ Abstract Visual programming is the idea of using graphical icons to create programs. I take a look at available solutions and challenges facing visual languages. Keeping these challenges in mind, I measure the suitability of Blockly and highlight the advantages of using Blockly for creating a visual programming environment for the J programming language. Blockly is an open source general purpose visual programming language designed by Google which provides a wide range of features and is meant to be customized to the user’s needs. I also discuss features of the J programming language that make it suitable for use in visual programming language. The result is a visual programming environment for the tacit subset of the J programming language. Table of Contents Introduction ............................................................................................................................................ 7 Problem Statement ............................................................................................................................. 7 Motivation.......................................................................................................................................... -
Frederick Phillips Brooks, Jr
Frederick Phillips Brooks, Jr. Biography Frederick P. Brooks, Jr., was born in 1931 in Durham NC, and grew up in Greenville NC. He received an A.B. summa cum laude in physics from Duke and a Ph.D. in computer science from Harvard, under Howard Aiken, the inventor of the early Harvard computers. He joined IBM, working in Poughkeepsie and Yorktown, NY, 1956-1965. He was an architect of the Stretch and Harvest computers and then was the project manager for the development of IBM's System/360 family of computers and then of the Operating System/360 software. For this work he received a National Medal of Technology jointly with Bob O. Evans and Erich Bloch Brooks and Dura Sweeney in 1957 patented an interrupt system for the IBM Stretch computer that introduced most features of today's interrupt systems. He coined the term computer architecture. His System/360 team first achieved strict compatibility, upward and downward, in a computer family. His early concern for word processing led to his selection of the 8-bit byte and the lowercase alphabet for the System/360, engineering of many new 8-bit input/output devices, and introduction of a character-string datatype in the PL/I programming language. In 1964 he founded the Computer Science Department at the University of North Carolina at Chapel Hill and chaired it for 20 years. Currently, he is Kenan Professor of Computer Science. His principal research is in real-time, three-dimensional, computer graphics—“virtual reality.” His research has helped biochemists solve the structure of complex molecules and enabled architects to “walk through” structures still being designed. -
Symantec™ Endpoint Protection 14.X for Linux Client Guide Contents
Symantec™ Endpoint Protection 14.x for Linux Client Guide Contents Chapter 1 Protecting Linux computers with Symantec Endpoint Protection ....................................................... 3 About Symantec Endpoint Protection for Linux ..................................... 3 Symantec Endpoint Protection client for Linux system requirements ........................................................................... 4 Getting started on the Linux client ...................................................... 5 About the Linux client graphical user interface ...................................... 7 What happens when a virus is detected ........................................ 7 Importing client-server communication settings into the Linux client ..................................................................................... 8 Uninstalling the Symantec Endpoint Protection client for Linux ................ 9 Appendix A Symantec Endpoint Protection client for Linux command line reference .............................................. 11 rtvscand ..................................................................................... 12 sav ............................................................................................ 15 savtray ....................................................................................... 22 smcd ......................................................................................... 24 symcfg ....................................................................................... 27 symcfgd .................................................................................... -
KDB+ Quick Guide
KKDDBB++ -- QQUUIICCKK GGUUIIDDEE http://www.tutorialspoint.com/kdbplus/kdbplus_quick_guide.htm Copyright © tutorialspoint.com KKDDBB++ -- OOVVEERRVVIIEEWW This is a complete quide to kdb+ from kx systems, aimed primarily at those learning independently. kdb+, introduced in 2003, is the new generation of the kdb database which is designed to capture, analyze, compare, and store data. A kdb+ system contains the following two components − KDB+ − the database kdatabaseplus Q − the programming language for working with kdb+ Both kdb+ and q are written in k programming language (same as q but less readable). Background Kdb+/q originated as an obscure academic language but over the years, it has gradually improved its user friendliness. APL 1964, AProgrammingLanguage A+ 1988, modifiedAPLbyArthurWhitney K 1993, crispversionofA + , developedbyA. Whitney Kdb 1998, in − memorycolumn − baseddb Kdb+/q 2003, q language – more readable version of k Why and Where to Use KDB+ Why? − If you need a single solution for real-time data with analytics, then you should consider kdb+. Kdb+ stores database as ordinary native files, so it does not have any special needs regarding hardware and storage architecture. It is worth pointing out that the database is just a set of files, so your administrative work won’t be difficult. Where to use KDB+? − It’s easy to count which investment banks are NOT using kdb+ as most of them are using currently or planning to switch from conventional databases to kdb+. As the volume of data is increasing day by day, we need a system that can handle huge volumes of data. KDB+ fulfills this requirement. KDB+ not only stores an enormous amount of data but also analyzes it in real time. -
Keir, Paul G (2012) Design and Implementation of an Array Language for Computational Science on a Heterogeneous Multicore Architecture
Keir, Paul G (2012) Design and implementation of an array language for computational science on a heterogeneous multicore architecture. PhD thesis. http://theses.gla.ac.uk/3645/ Copyright and moral rights for this thesis are retained by the author A copy can be downloaded for personal non-commercial research or study, without prior permission or charge This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the Author The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the Author When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given Glasgow Theses Service http://theses.gla.ac.uk/ [email protected] Design and Implementation of an Array Language for Computational Science on a Heterogeneous Multicore Architecture Paul Keir Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy School of Computing Science College of Science and Engineering University of Glasgow July 8, 2012 c Paul Keir, 2012 Abstract The packing of multiple processor cores onto a single chip has become a mainstream solution to fundamental physical issues relating to the microscopic scales employed in the manufac- ture of semiconductor components. Multicore architectures provide lower clock speeds per core, while aggregate floating-point capability continues to increase. Heterogeneous multicore chips, such as the Cell Broadband Engine (CBE) and modern graphics chips, also address the related issue of an increasing mismatch between high pro- cessor speeds, and huge latency to main memory.