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ISO/IEC JTC 1/SC 22/WG4 N 0163 Information Technology
ISO/IEC JTC 1/SC 22/WG4 N 0163 Date: 2002-05-21 Reference number of document: WDTR 19755 Version 1.1 Committee identification: ISO/IEC JTC 1/SC 22 /WG 4 Secretariat: ANSI Information Technology — Programming languages, their environments and system software interfaces — Object finalization for programming language COBOL Warning This document is an ISO/IEC proposed draft Technical Report. It is not an ISO/IEC International Technical Report. It is distributed for review and comment. It is subject to change without notice and shall not be referred to as an International Technical Report or International Standard. Recipients of this document are invited to submit, with their comments, notification of any relevant patent rights of which they are aware and to provide supporting documentation. Document type: Technical report Document subtype: n/a Document stage: (20) Preparation Document language: E ISO/WDTR 19755 Copyright notice This ISO/IEC document is a working draft and is copyright-protected by ISO/IEC. Requests for permission to reproduce this document for the purpose of selling it should be addressed as shown below or to ISO’s member body in the country of the requester: Copyright manager ISO Central Secretariat 1 rue de Varembé 1211 Geneva 20 Switzerland tel: +41 22 749 0111 fax: +41 22 734 0179 email: [email protected] Reproduction for sales purposes may be subject to royalty payments or a licensing agreement. Violators may be prosecuted. ii © ISO/IEC 2002 – All rights reserved ISO/IEC WDTR 19755 Acknowledgement notice COBOL originated in 1959 as a common business oriented language developed by the Conference on Data Systems Languages (CODASYL). -
Events, Co-Routines, Continuations and Threads OS (And Application)Execution Models System Building
Events, Co-routines, Continuations and Threads OS (and application)Execution Models System Building General purpose systems need to deal with • Many activities – potentially overlapping – may be interdependent • Activities that depend on external phenomena – may requiring waiting for completion (e.g. disk read) – reacting to external triggers (e.g. interrupts) Need a systematic approach to system structuring © Kevin Elphinstone 2 Construction Approaches Events Coroutines Threads Continuations © Kevin Elphinstone 3 Events External entities generate (post) events. • keyboard presses, mouse clicks, system calls Event loop waits for events and calls an appropriate event handler. • common paradigm for GUIs Event handler is a function that runs until completion and returns to the event loop. © Kevin Elphinstone 4 Event Model The event model only requires a single stack Memory • All event handlers must return to the event loop CPU Event – No blocking Loop – No yielding PC Event SP Handler 1 REGS Event No preemption of handlers Handler 2 • Handlers generally short lived Event Handler 3 Data Stack © Kevin Elphinstone 5 What is ‘a’? int a; /* global */ int func() { a = 1; if (a == 1) { a = 2; } No concurrency issues within a return a; handler } © Kevin Elphinstone 6 Event-based kernel on CPU with protection Kernel-only Memory User Memory CPU Event Loop Scheduling? User PC Event Code SP Handler 1 REGS Event Handler 2 User Event Data Handler 3 Huh? How to support Data Stack multiple Stack processes? © Kevin Elphinstone 7 Event-based kernel on CPU with protection Kernel-only Memory User Memory CPU PC Trap SP Dispatcher User REGS Event Code Handler 1 User-level state in PCB Event PCB Handler 2 A User Kernel starts on fresh Timer Event Data stack on each trap (Scheduler) PCB B No interrupts, no blocking Data Current in kernel mode Thead PCB C Stack Stack © Kevin Elphinstone 8 Co-routines Originally described in: • Melvin E. -
Designing an Ultra Low-Overhead Multithreading Runtime for Nim
Designing an ultra low-overhead multithreading runtime for Nim Mamy Ratsimbazafy Weave [email protected] https://github.com/mratsim/weave Hello! I am Mamy Ratsimbazafy During the day blockchain/Ethereum 2 developer (in Nim) During the night, deep learning and numerical computing developer (in Nim) and data scientist (in Python) You can contact me at [email protected] Github: mratsim Twitter: m_ratsim 2 Where did this talk came from? ◇ 3 years ago: started writing a tensor library in Nim. ◇ 2 threading APIs at the time: OpenMP and simple threadpool ◇ 1 year ago: complete refactoring of the internals 3 Agenda ◇ Understanding the design space ◇ Hardware and software multithreading: definitions and use-cases ◇ Parallel APIs ◇ Sources of overhead and runtime design ◇ Minimum viable runtime plan in a weekend 4 Understanding the 1 design space Concurrency vs parallelism, latency vs throughput Cooperative vs preemptive, IO vs CPU 5 Parallelism is not 6 concurrency Kernel threading 7 models 1:1 Threading 1 application thread -> 1 hardware thread N:1 Threading N application threads -> 1 hardware thread M:N Threading M application threads -> N hardware threads The same distinctions can be done at a multithreaded language or multithreading runtime level. 8 The problem How to schedule M tasks on N hardware threads? Latency vs 9 Throughput - Do we want to do all the work in a minimal amount of time? - Numerical computing - Machine learning - ... - Do we want to be fair? - Clients-server - Video decoding - ... Cooperative vs 10 Preemptive Cooperative multithreading: -
Stable/Build) • --Port PORT - Set the PORT Number (Default: 8000)
Pyodide Release 0.18.1 unknown Sep 16, 2021 CONTENTS 1 Using Pyodide 3 1.1 Getting started..............................................3 1.2 Downloading and deploying Pyodide..................................6 1.3 Using Pyodide..............................................7 1.4 Loading packages............................................ 12 1.5 Type translations............................................. 14 1.6 Pyodide Python compatibility...................................... 25 1.7 API Reference.............................................. 26 1.8 Frequently Asked Questions....................................... 50 2 Development 55 2.1 Building from sources.......................................... 55 2.2 Creating a Pyodide package....................................... 57 2.3 How to Contribute............................................ 64 2.4 Testing and benchmarking........................................ 74 2.5 Interactive Debugging.......................................... 76 3 Project 79 3.1 About Pyodide.............................................. 79 3.2 Roadmap................................................. 80 3.3 Code of Conduct............................................. 82 3.4 Governance and Decision-making.................................... 83 3.5 Change Log............................................... 85 3.6 Related Projects............................................. 95 4 Indices and tables 97 Python Module Index 99 Index 101 i ii Pyodide, Release 0.18.1 Python with the scientific stack, compiled to WebAssembly. -
Visual Smalltalk Enterprise ™ ™
Visual Smalltalk Enterprise ™ ™ Language Reference P46-0201-00 Copyright © 1999–2000 Cincom Systems, Inc. All rights reserved. Copyright © 1999–2000 Seagull Systems, Inc. All rights reserved. This product contains copyrighted third-party software. Part Number: P46-0201-00 Software Release 3.2 This document is subject to change without notice. RESTRICTED RIGHTS LEGEND: Use, duplication, or disclosure by the Government is subject to restrictions as set forth in subparagraph (c)(1)(ii) of the Rights in Technical Data and Computer Software clause at DFARS 252.227-7013. Trademark acknowledgments: CINCOM, CINCOM SYSTEMS, and the Cincom logo are registered trademarks of Cincom Systems, Inc. Visual Smalltalk is a trademark of Cincom Systems, Inc., its subsidiaries, or successors and are registered in the United States and other countries. Microsoft Windows is a registered trademark of Microsoft, Inc. Win32 is a trademark of Microsoft, Inc. OS/2 is a registered trademark of IBM Corporation. Other product names mentioned herein are used for identification purposes only, and may be trademarks of their respective companies. The following copyright notices apply to software that accompanies this documentation: Visual Smalltalk is furnished under a license and may not be used, copied, disclosed, and/or distributed except in accordance with the terms of said license. No class names, hierarchies, or protocols may be copied for implementation in other systems. This manual set and online system documentation copyright © 1999–2000 by Cincom Systems, Inc. All rights reserved. No part of it may be copied, photocopied, reproduced, translated, or reduced to any electronic medium or machine-readable form without prior written consent from Cincom. -
An Ideal Match?
24 November 2020 An ideal match? Investigating how well-suited Concurrent ML is to implementing Belief Propagation for Stereo Matching James Cooper [email protected] OutlineI 1 Stereo Matching Generic Stereo Matching Belief Propagation 2 Concurrent ML Overview Investigation of Alternatives Comparative Benchmarks 3 Concurrent ML and Belief Propagation 4 Conclusion Recapitulation Prognostication 5 References Outline 1 Stereo Matching Generic Stereo Matching Belief Propagation 2 Concurrent ML Overview Investigation of Alternatives Comparative Benchmarks 3 Concurrent ML and Belief Propagation 4 Conclusion Recapitulation Prognostication 5 References Outline 1 Stereo Matching Generic Stereo Matching Belief Propagation 2 Concurrent ML Overview Investigation of Alternatives Comparative Benchmarks 3 Concurrent ML and Belief Propagation 4 Conclusion Recapitulation Prognostication 5 References Stereo Matching Generally SM is finding correspondences between stereo images Images are of the same scene Captured simultaneously Correspondences (`disparity') are used to estimate depth SM is an ill-posed problem { can only make best guess Impossible to perform `perfectly' in general case Stereo Matching ExampleI (a) Left camera's image (b) Right camera's image Figure 1: The popular 'Tsukuba' example stereo matching images, so called because they were created by researchers at the University of Tsukuba, Japan. They are probably the most widely-used benchmark images in stereo matching. Stereo Matching ExampleII (a) Ground truth disparity map (b) Disparity map generated using a simple Belief Propagation Stereo Matching implementation Figure 2: The ground truth disparity map for the Tsukuba images, and an example of a possible real disparity map produced by using Belief Propagation Stereo Matching. The ground truth represents what would be expected if stereo matching could be carried out `perfectly'. -
Gnu Smalltalk Library Reference Version 3.2.5 24 November 2017
gnu Smalltalk Library Reference Version 3.2.5 24 November 2017 by Paolo Bonzini Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A copy of the license is included in the section entitled \GNU Free Documentation License". 1 3 1 Base classes 1.1 Tree Classes documented in this manual are boldfaced. Autoload Object Behavior ClassDescription Class Metaclass BlockClosure Boolean False True CObject CAggregate CArray CPtr CString CCallable CCallbackDescriptor CFunctionDescriptor CCompound CStruct CUnion CScalar CChar CDouble CFloat CInt CLong CLongDouble CLongLong CShort CSmalltalk CUChar CByte CBoolean CUInt CULong CULongLong CUShort ContextPart 4 GNU Smalltalk Library Reference BlockContext MethodContext Continuation CType CPtrCType CArrayCType CScalarCType CStringCType Delay Directory DLD DumperProxy AlternativeObjectProxy NullProxy VersionableObjectProxy PluggableProxy SingletonProxy DynamicVariable Exception Error ArithmeticError ZeroDivide MessageNotUnderstood SystemExceptions.InvalidValue SystemExceptions.EmptyCollection SystemExceptions.InvalidArgument SystemExceptions.AlreadyDefined SystemExceptions.ArgumentOutOfRange SystemExceptions.IndexOutOfRange SystemExceptions.InvalidSize SystemExceptions.NotFound SystemExceptions.PackageNotAvailable SystemExceptions.InvalidProcessState SystemExceptions.InvalidState -
Tcl and Java Performance
Tcl and Java Performance http://ptolemy.eecs.berkeley.edu/~cxh/java/tclblend/scriptperf/scriptperf.html Tcl and Java Performance by H. John Reekie, University of California at Berkeley Christopher Hylands, University of California at Berkeley Edward A. Lee, University of California at Berkeley Abstract Combining scripting languages such as Tcl with lower−level programming languages such as Java offers new opportunities for flexible and rapid software development. In this paper, we benchmark various combinations of Tcl and Java against the two languages alone. We also provide some comparisons with JavaScript. Performance can vary by well over two orders of magnitude. We also uncovered some interesting threading issues that affect performance on the Solaris platform. "There are lies, damn lies and statistics" This paper is a work in progress, we used the information here to give our group some generalizations on the performance tradeoffs between various scripting languages. Updating the timing results to include JDK1.2 with a Just In Time (JIT) compiler would be useful. Introduction There is a growing trend towards integration of multiple languages through scripting. In a famously controversial white paper (Ousterhout 97), John Ousterhout, now of Scriptics Corporation, argues that scripting −− the use of a high−level, untyped, interpreted language to "glue" together components written in a lower−level language −− provides greater reuse benefits that other reuse technologies. Although traditionally a language such as C or C++ has been the lower−level language, more recent efforts have focused on using Java. Recently, Sun Microsystems laboratories announced two products aimed at fulfilling this goal with the Tcl and Java programming languages. -
A Tour of the Squeak Object Engine
A Tour of the Squeak Object Engine A Tour of the Squeak Object Engine Tim Rowledge, [email protected] Introduction This chapter is intended to explain some basics of how a Virtual Machine (VM) works, why a VM is useful, what it does for the Squeak programmer and user, and how the Squeak VM might develop in the future. What is a Virtual Machine and why do we need one? A Virtual Machine provides us with a pretense of being a machine other than the actual hardware in use. Using one allows systems that behave differently than the host hardware to run as if on hardware designed for them. The term Object Engine is less commonly used but is a useful concept that includes the lowest system areas of the langauge environment running on the VM. Since there is often some flux in the definition of which components are within the actual VM and which are part of the supported environment, Object Engine is useful as a more inclusive term. The term Virtual Machine is used in several ways. When IBM refer to VM/CMS they are referring to a way of making a mainframe behave as if it is many machines, so that programs can assume they have total control even though they do not. Intel provide a somewhat similar facility in the x86 architecture(?), referred to as Virtual Mode. This sort of VM is a complete hardware simulation, often supported at the lowest level by the hardware. Another sort of VM is the emulator - SoftWindows for the Mac, Acorn's !PC, Linux's WINE are good examples - where another machine and/or OS is simulated to allow a Mac user to run Windows programs, an Acorn RiscPC or a Linux machine to run Windows98 programs and so on. -
Exposing C++ Functions and Classes with Rcpp Modules
Exposing C++ functions and classes with Rcpp modules Dirk Eddelbuettela and Romain Françoisb ahttp://dirk.eddelbuettel.com; bhttps://romain.rbind.io/ This version was compiled on July 3, 2021 This note discusses Rcpp modules. Rcpp modules allow programmers to Here we use the (templated) Rcpp converter as() which can expose C++ functions and classes to R with relative ease. Rcpp modules transform from a SEXP to a number of different C++ and Rcpp are inspired from the Boost.Python C++ library (Abrahams and Grosse- types. The Rcpp function wrap() offers the opposite functionality Kunstleve, 2003) which provides similar features for Python. and converts many known types to a SEXP. This process is simple enough, and is used by a number of Rcpp | modules | R | C++ CRAN packages. However, it requires direct involvement from the programmer, which quickly becomes tiresome when many functions 1. Motivation are involved. Rcpp modules provides a much more elegant and Exposing C++ functionality to R is greatly facilitated by the Rcpp unintrusive way to expose C++ functions such as the norm function package and its underlying C++ library (Eddelbuettel et al., 2021; shown above to R. Eddelbuettel and François, 2011). Rcpp smoothes many of the We should note that Rcpp now has Rcpp attributes which ex- rough edges in R and C++ integration by replacing the traditional tends certain aspect of Rcpp modules and makes binding to simple R Application Programming Interface (API) described in ‘Writing functions such as this one even easier. With Rcpp attributes we can R Extensions’(R Core Team, 2018) with a consistent set of C++ just write classes. -
FFI: Racket Foreign Interface
FFI: Racket Foreign Interface Version 5.0 Eli Barzilay June 6, 2010 (require ffi/unsafe) The ffi/unsafe library enables the direct use of C-based APIs within Racket programs— without writing any new C code. From the Racket perspective, functions and data with a C-based API are foreign, hence the term foreign interface. Furthermore, since most APIs consist mostly of functions, the foreign interface is sometimes called a foreign function in- terface, abbreviated FFI. 1 Contents 1 Overview 4 2 Loading Foreign Libraries 5 3 C Types 8 3.1 Type Constructors . 8 3.2 Numeric Types . 9 3.3 Other Atomic Types . 10 3.4 String Types . 11 3.4.1 Primitive String Types . 11 3.4.2 Fixed Auto-Converting String Types . 11 3.4.3 Variable Auto-Converting String Type . 12 3.4.4 Other String Types . 12 3.5 Pointer Types . 13 3.6 Function Types . 14 3.6.1 Custom Function Types . 18 3.7 C Struct Types . 21 3.8 Enumerations and Masks . 24 4 Pointer Functions 26 4.1 Pointer Dereferencing . 27 4.2 Memory Management . 30 5 Derived Utilities 34 5.1 Safe Homogenous Vectors . 34 5.2 Safe C Vectors . 40 2 5.3 Tagged C Pointer Types . 42 5.4 Defining Bindings . 44 5.5 Allocation and Finalization . 46 5.6 Atomic Execution . 47 5.7 Objective-C FFI . 48 5.7.1 FFI Types and Constants . 48 5.7.2 Syntactic Forms and Procedures . 49 5.7.3 Raw Runtime Functions . 53 5.7.4 Legacy Library . -
Thread Scheduling in Multi-Core Operating Systems Redha Gouicem
Thread Scheduling in Multi-core Operating Systems Redha Gouicem To cite this version: Redha Gouicem. Thread Scheduling in Multi-core Operating Systems. Computer Science [cs]. Sor- bonne Université, 2020. English. tel-02977242 HAL Id: tel-02977242 https://hal.archives-ouvertes.fr/tel-02977242 Submitted on 24 Oct 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. Ph.D thesis in Computer Science Thread Scheduling in Multi-core Operating Systems How to Understand, Improve and Fix your Scheduler Redha GOUICEM Sorbonne Université Laboratoire d’Informatique de Paris 6 Inria Whisper Team PH.D.DEFENSE: 23 October 2020, Paris, France JURYMEMBERS: Mr. Pascal Felber, Full Professor, Université de Neuchâtel Reviewer Mr. Vivien Quéma, Full Professor, Grenoble INP (ENSIMAG) Reviewer Mr. Rachid Guerraoui, Full Professor, École Polytechnique Fédérale de Lausanne Examiner Ms. Karine Heydemann, Associate Professor, Sorbonne Université Examiner Mr. Etienne Rivière, Full Professor, University of Louvain Examiner Mr. Gilles Muller, Senior Research Scientist, Inria Advisor Mr. Julien Sopena, Associate Professor, Sorbonne Université Advisor ABSTRACT In this thesis, we address the problem of schedulers for multi-core architectures from several perspectives: design (simplicity and correct- ness), performance improvement and the development of application- specific schedulers.