Functional Programming Languages in Computing Clouds
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What I Wish I Knew When Learning Haskell
What I Wish I Knew When Learning Haskell Stephen Diehl 2 Version This is the fifth major draft of this document since 2009. All versions of this text are freely available onmywebsite: 1. HTML Version http://dev.stephendiehl.com/hask/index.html 2. PDF Version http://dev.stephendiehl.com/hask/tutorial.pdf 3. EPUB Version http://dev.stephendiehl.com/hask/tutorial.epub 4. Kindle Version http://dev.stephendiehl.com/hask/tutorial.mobi Pull requests are always accepted for fixes and additional content. The only way this document will stayupto date and accurate through the kindness of readers like you and community patches and pull requests on Github. https://github.com/sdiehl/wiwinwlh Publish Date: March 3, 2020 Git Commit: 77482103ff953a8f189a050c4271919846a56612 Author This text is authored by Stephen Diehl. 1. Web: www.stephendiehl.com 2. Twitter: https://twitter.com/smdiehl 3. Github: https://github.com/sdiehl Special thanks to Erik Aker for copyediting assistance. Copyright © 20092020 Stephen Diehl This code included in the text is dedicated to the public domain. You can copy, modify, distribute and perform thecode, even for commercial purposes, all without asking permission. You may distribute this text in its full form freely, but may not reauthor or sublicense this work. Any reproductions of major portions of the text must include attribution. The software is provided ”as is”, without warranty of any kind, express or implied, including But not limitedtothe warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authorsor copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, Arising from, out of or in connection with the software or the use or other dealings in the software. -
Commonspad Ocaml Library Programmer’S Manual
Commonspad OCaml Library Programmer’s manual Yoann Padioleau [email protected] December 29, 2009 Copyright c 2009 Yoann Padioleau. Permission is granted to copy, distribute and/or modify this doc- ument under the terms of the GNU Free Documentation License, Version 1.3. 1 Short Contents 1 Introduction 4 I Common 7 2 Overview 8 3 Basic 14 4 Basic types 31 5 Collection 46 6 Misc 61 II OCommon 66 7 Overview 67 8 Ocollection 68 9 Oset 71 10 Oassoc 73 11 Osequence 74 12 Oarray 75 13 Ograph 77 14 Odb 81 2 III Extra Common 82 15 Interface 84 16 Concurrency 89 17 Distribution 90 18 Graphic 91 19 OpenGL 92 20 GUI 93 21 ParserCombinators 94 22 Backtrace 100 23 Glimpse 101 24 Regexp 103 25 Sexp and binio 104 26 Python 105 Conclusion 106 A Indexes 107 B References 108 3 Contents 1 Introduction 4 1.1 Features . 4 1.2 Copyright . 5 1.3 Source organization . 6 1.4 API organization . 6 1.5 Acknowledgements . 6 I Common 7 2 Overview 8 3 Basic 14 3.1 Pervasive types and operators . 14 3.2 Debugging, logging . 15 3.3 Profiling . 17 3.4 Testing . 18 3.5 Persitence . 20 3.6 Counter . 21 3.7 Stringof . 21 3.8 Macro . 22 3.9 Composition and control . 22 3.10 Concurrency . 24 3.11 Error management . 24 3.12 Environment . 25 3.13 Arguments . 28 3.14 Equality . 29 4 Basic types 31 4.1 Bool . 31 4.2 Char . 31 4.3 Num . -
Novel Memory and I/O Virtualization Techniques for Next Generation Data-Centers Based on Disaggregated Hardware Maciej Bielski
Novel memory and I/O virtualization techniques for next generation data-centers based on disaggregated hardware Maciej Bielski To cite this version: Maciej Bielski. Novel memory and I/O virtualization techniques for next generation data-centers based on disaggregated hardware. Hardware Architecture [cs.AR]. Université Paris Saclay (COmUE), 2019. English. NNT : 2019SACLT022. tel-02464021 HAL Id: tel-02464021 https://pastel.archives-ouvertes.fr/tel-02464021 Submitted on 2 Feb 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Nouvelles techniques de virtualisation de la memoire´ et des entrees-sorties´ vers les periph´ eriques´ pour les prochaines gen´ erations´ de centres de traitement de donnees´ bases´ sur des equipements´ NNT : 2019SACLT022 repartis´ destructur´ es´ These` de doctorat de l’Universite´ Paris-Saclay prepar´ ee´ a` Tel´ ecom´ ParisTech Ecole doctorale n◦580 Sciences et Technologies de l’Information et de la Communication (STIC) Specialit´ e´ de doctorat: Informatique These` present´ ee´ et soutenue a` Biot Sophia Antipolis, le 18/03/2019, -
The Glasgow Haskell Compiler User's Guide, Version 4.08
The Glasgow Haskell Compiler User's Guide, Version 4.08 The GHC Team The Glasgow Haskell Compiler User's Guide, Version 4.08 by The GHC Team Table of Contents The Glasgow Haskell Compiler License ........................................................................................... 9 1. Introduction to GHC ....................................................................................................................10 1.1. The (batch) compilation system components.....................................................................10 1.2. What really happens when I “compile” a Haskell program? .............................................11 1.3. Meta-information: Web sites, mailing lists, etc. ................................................................11 1.4. GHC version numbering policy .........................................................................................12 1.5. Release notes for version 4.08 (July 2000) ........................................................................13 1.5.1. User-visible compiler changes...............................................................................13 1.5.2. User-visible library changes ..................................................................................14 1.5.3. Internal changes.....................................................................................................14 2. Installing from binary distributions............................................................................................16 2.1. Installing on Unix-a-likes...................................................................................................16 -
Haskell Quick Syntax Reference
Haskell Quick Syntax Reference A Pocket Guide to the Language, APIs, and Library — Stefania Loredana Nita Marius Mihailescu www.allitebooks.com Haskell Quick Syntax Reference A Pocket Guide to the Language, APIs, and Library Stefania Loredana Nita Marius Mihailescu www.allitebooks.com Haskell Quick Syntax Reference: A Pocket Guide to the Language, APIs, and Library Stefania Loredana Nita Marius Mihailescu Bucharest, Romania Bucharest, Romania ISBN-13 (pbk): 978-1-4842-4506-4 ISBN-13 (electronic): 978-1-4842-4507-1 https://doi.org/10.1007/978-1-4842-4507-1 Copyright © 2019 by Stefania Loredana Nita and Marius Mihailescu This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. -
Pcl: a Robust Monadic Parser Combinator Library for Ocaml
Motivation Basic Monadic Parser Combinators Writing pcl pcl: A Robust Monadic Parser Combinator Library for OCaml Chris Casinghino [email protected] OCaml Summer Project Meeting Chris Casinghino pcl: A Robust Monadic Parser Combinator Library for OCaml Motivation Basic Monadic Parser Combinators Writing pcl Outline 1 Motivation 2 Basic Monadic Parser Combinators What Is A Parser? Building Bigger Parsers 3 Writing pcl Chris Casinghino pcl: A Robust Monadic Parser Combinator Library for OCaml Motivation Basic Monadic Parser Combinators Writing pcl Outline 1 Motivation 2 Basic Monadic Parser Combinators What Is A Parser? Building Bigger Parsers 3 Writing pcl Chris Casinghino pcl: A Robust Monadic Parser Combinator Library for OCaml Motivation Basic Monadic Parser Combinators Writing pcl Benefits of Parser Combinators Parsers are specified directly in target language. No need to learn seperate grammar specification language. Parser may be modified on the fly, no seperate building process. Parsers are typechecked. Easy to extend set of available combinators. Lexer and parser may be written with the same tool. Chris Casinghino pcl: A Robust Monadic Parser Combinator Library for OCaml Motivation Basic Monadic Parser Combinators Writing pcl Parsec: Parser Combinators for Haskell Parsec is a popular monadic parser combinator library for Haskell. Parsec has been around for years, and is widely used. Large combinator library, including parsers for lexing, expressions, etc. Expressive error reporting, efficient. pcl is, in large part, a port of Parsec -
Analysis of Wasted Computing Resources in Data Centers in Terms of CPU, RAM And
Review Article iMedPub Journals American Journal of Computer Science and 2020 http://www.imedpub.com Engineering Survey Vol. 8 No.2:8 DOI: 10.36648/computer-science-engineering-survey.08.02.08. Analysis of Wasted Computing Resources in Robert Method Karamagi1* 2 Data Centers in terms of CPU, RAM and HDD and Said Ally Abstract 1Department of Information & Despite the vast benefits offered by the data center computing systems, the Communication Technology, The Open University of Tanzania, Dar es salaam, efficient analysis of the wasted computing resources is vital. In this paper we shall Tanzania analyze the amount of wasted computing resources in terms of CPU, RAM and HDD. Keywords: Virtualization; CPU: Central Processing Unit; RAM: Random Access 2Department of Science, Technology Memory; HDD: Hard Disk Drive. and Environmental Studies, The Open University of Tanzania, Dar es salaam, Tanzania Received: September 16, 2020; Accepted: September 30, 2020; Published: October 07, 2020 *Corresponding author: Robert Method Introduction Karamagi, Department of Information & A data center contains tens of thousands of server machines Communication Technology, The Open located in a single warehouse to reduce operational and University of Tanzania, Dar es salaam, capital costs. Within a single data center modern application Tanzania, E-mail: robertokaramagi@gmail. are typically deployed over multiple servers to cope with their com resource requirements. The task of allocating resources to applications is referred to as resource management. In particular, resource management aims at allocating cloud resources in a Citation: Karamagi RM, Ally S (2020) Analysis way to align with application performance requirements and to of Wasted Computing Resources in Data reduce the operational cost of the hosted data center. -
The Λ Abroad a Functional Approach to Software Components
The ¸ Abroad A Functional Approach To Software Components Een functionele benadering van software componenten (met een samenvatting in het Nederlands) Proefschrift ter verkrijging van de graad van doctor aan de Universiteit Utrecht op gezag van de Rector Magni¯cus, Prof. dr W.H. Gispen, ingevolge het besluit van het College voor Promoties in het openbaar te verdedigen op dinsdag 4 november 2003 des middags te 12.45 uur door Daniel Johannes Pieter Leijen geboren op 7 Juli 1973, te Alkmaar promotor: Prof. dr S.D. Swierstra, Universiteit Utrecht. co-promotor: dr H.J.M. Meijer, Microsoft Research. The work in this thesis has been carried out under the auspices of the research school IPA (Institute for Programming research and Algorithmics), and has been ¯nanced by Ordina. Printed by Febodruk 2003. Cover illustration shows the heavily cratered surface of the planet Mercury, photographed by the mariner 10. ISBN 90-9017528-8 Contents Dankwoord ix 1 Overview 1 2 H/Direct: a binary language interface for Haskell 5 2.1 Introduction ................................ 5 2.2 Background ................................ 6 2.2.1 Using the host or foreign language ............... 7 2.2.2 Using an IDL ........................... 8 2.2.3 Overview ............................. 9 2.3 The Foreign Function Interface ..................... 12 2.3.1 Foreign static import and export ................ 12 2.3.2 Variations on the theme ..................... 13 2.3.3 Stable pointers and foreign objects ............... 14 2.3.4 Dynamic import ......................... 15 2.3.5 Dynamic export ......................... 15 2.3.6 Implementing dynamic export .................. 18 2.3.7 Related work ........................... 19 iv Contents 2.4 Translating IDL to Haskell ...................... -
Towards Virtual Infiniband Clusters with Network and Performance
Towards Virtual InfiniBand Clusters with Network and Performance Isolation Diplomarbeit von cand. inform. Marius Hillenbrand an der Fakultät für Informatik Erstgutachter: Prof. Dr. Frank Bellosa Betreuende Mitarbeiter: Dr.-Ing. Jan Stoess Dipl.-Phys. Viktor Mauch Bearbeitungszeit: 17. Dezember 2010 – 16. Juni 2011 KIT – Universität des Landes Baden-Württemberg und nationales Forschungszentrum in der Helmholtz-Gemeinschaft www.kit.edu Abstract Today’s high-performance computing clusters (HPC) are typically operated and used by a sin- gle organization. Demand is fluctuating, resulting in periods of underutilization or overload. In addition, the static OS installation on cluster nodes leaves hardly any room for customization. The concepts of cloud computing transferred to HPC clusters — that is, an Infrastructure-as- a-Service (IaaS) model for HPC computing — promises increased flexibility and cost savings. Elastic virtual clusters provide precisely that capacity that suits actual demand and workload. Elasticity and flexibility come at a price, however: Virtualization overhead, jitter, and additional OS background activity can severely reduce parallel application performance. In addition, HPC workloads typically require distinct cluster interconnects, such as InfiniBand, because of the features they provide, mainly low latency. General-purpose clouds with virtualized Ethernet fail to fulfill these requirements. In this work, we present a novel architecture for HPC clouds. Our architecture comprises the facets node virtualization, network virtualization, and cloud management. We raise the question, whether a commodity hypervisor (the kernel-based virtual machine, KVM, on Linux) can be transformed to provide virtual cluster nodes — that is, virtual machines (VMs) intended for HPC workloads. We provide a concept for cluster network virtualization, using the example of InfiniBand, that provides each user with the impression of using a dedicated network. -
PARSEC3.0: a Multicore Benchmark Suite with Network Stacks and SPLASH-2X
PARSEC3.0: A Multicore Benchmark Suite with Network Stacks and SPLASH-2X Xusheng Zhan1,2, Yungang Bao1, Christian Bienia3, and Kai Li3 1State Key Laboratory of Computer Architecture, ICT, CAS 2University of Chinese Academy of Sciences 3Department of Computer Science, Princeton University Abstract Benchmarks play a very important role in accelerating the development and research of CMP. As one of them, the PARSEC suite continues to be updated and revised over and over again so that it can offer better support for researchers. The former versions of PARSEC have enough workloads to evaluate the property of CMP about CPU, cache and memory, but it lacks of applications based on network stack to assess the performance of CMPs in respect of network. In this work, we introduce PARSEC3.0, a new version of PARSEC suite that implements a user-level network stack and generates three network workloads with this stack to cover network domain. We explore the input sets of splash-2 and expand them to multiple scales, a.k.a, splash-2x. We integrate splash-2 and splash-2x into PARSEC framework so that researchers use these benchmark suite conveniently. Finally, we evaluate the u-TCP/IP stack and new network workloads, and analyze the characterizes of splash-2 and splash-2x. 1. Introduction Benchmarking is a fundamental methodology for computer architecture research. Architects evaluate their new design using benchmark suites that usually consist of multiple programs selected out from a diversity of domains. The PARSEC benchmark suite, containing 13 applications from six emerging domains, has been widely used for evaluating chip multiprocessors (CMPs) systems since it is released in 2008. -
Languageext Documentation Release Latest
LanguageExt Documentation Release latest March 31, 2016 Contents 1 C# Functional Language Extensions3 1.1 Introduction...............................................3 1.1.1 Getting started.........................................4 1.1.2 Features.............................................5 1.2 Poor tuple support............................................5 1.3 Null reference problem..........................................6 1.4 Option..................................................6 1.4.1 Option monad - gasp! Not the M word!............................9 1.5 if( arg == null ) throw new ArgumentNullException(“arg”)....................... 10 1.6 Lack of lambda and expression inference................................ 12 1.7 Void isn’t a real type........................................... 12 1.8 Mutable lists and dictionaries...................................... 13 1.8.1 Lists............................................... 13 1.8.2 List pattern matching...................................... 14 1.8.3 Maps.............................................. 15 1.8.4 Map transformers........................................ 17 1.9 The awful out parameter........................................ 18 2 ‘Erlang like’ concurrency 21 2.1 Distributed................................................ 22 2.2 How?................................................... 22 2.3 Functions if you want them....................................... 23 2.4 Classes if you want them......................................... 25 2.5 Publish system............................................. -
Functional Programming Paradigm for Machine Learning Algorithms in Data Mining
UNIVERSIDAD AUTÓNOMA DE MADRID ESCUELA POLITÉCNICA SUPERIOR Degree as DEGREE WORK Functional Programming Paradigm for Machine Learning Algorithms in Data Mining Author: Miguel Fernández de Alarcón Gervás Advisor: Francisco Saiz López junio 2019 All rights reserved. No reproduction in any form of this book, in whole or in part (except for brief quotation in critical articles or reviews), may be made without written authorization from the publisher. © 20th June 2019 by UNIVERSIDAD AUTÓNOMA DE MADRID Francisco Tomás y Valiente, no 1 Madrid, 28049 Spain Miguel Fernández de Alarcón Gervás Functional Programming Paradigm for Machine Learning Algorithms in Data Mining Miguel Fernández de Alarcón Gervás C\ Francisco Tomás y Valiente Nº 11 PRINTED IN SPAIN Agradecimientos Quiero agradecerles el trabajo que han realizado conmigo y el tiempo que me han dedicado mis tutores Francisco Saiz y David Camacho. A mi familia por su apoyo, a mis compañeros de clase por hacer las jornadas en la biblioteca más pasables. A Roberto por ayudarme cuano estaba empezando, a Merel por sus conversaciones en los momentos en los que necesitaba desconectar, a Suso por sus descansos de 5 minutos que se alargaban otros 5 o 40 minutos. Quiero agradecerle especialmente a Emily y Lisa, por haberme ayudado en la corrección de erratas y expresiones en el documento y a todos los que han estado conmigo en este proceso. iii Resumen La minería de datos y el aprendizaje automático han visto un auge en las últimas décadas, con or- denadores cada vez más potentes y, principalmente, debido a la cantidad de datos a los que se puede acceder en la actualidad.