A Virtual Machine and Compiler Infrastructure
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												Non-Invasive Software Transactional Memory on Top of the Common Language Runtime
University of Neuchâtel Computer Science Department (IIUN) Master of Science in Computer Science Non-Invasive Software Transactional Memory on top of the Common Language Runtime Florian George Supervised by Prof. Pascal Felber Assisted by Patrick Marlier August 16, 2010 This page is intentionally left blank Table of contents 1 Abstract ................................................................................................................................................. 3 2 Introduction ........................................................................................................................................ 4 3 State of the art .................................................................................................................................... 6 4 The Common Language Infrastructure .................................................................................. 7 4.1 Overview of the Common Language Infrastructure ................................... 8 4.2 Common Language Runtime.................................................................................. 9 4.3 Virtual Execution System ........................................................................................ 9 4.4 Common Type System ........................................................................................... 10 4.5 Common Intermediate Language ..................................................................... 12 4.6 Common Language Specification..................................................................... - 
												
												US 2002/0066086 A1 Linden (43) Pub
US 2002O066086A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2002/0066086 A1 Linden (43) Pub. Date: May 30, 2002 (54) DYNAMIC RECOMPLER (52) U.S. Cl. ............................................ 717/145; 717/151 (76) Inventor: Randal N. Linden, Los Angeles, CA (57) ABSTRACT (US) A method for dynamic recompilation of Source Software Correspondence Address: instructions for execution by a target processor, which LU & LIU LLP considers not only the Specific Source instructions, but also 811 WEST SEVENTH STREET, SUITE 1100 the intent and purpose of the instructions, to translate and LOS ANGELES, CA 90017 (US) optimize a set of equivalent code for the target processor. The dynamic recompiler determines what the Source opera (21) Appl. No.: 09/755,542 tion code is trying to accomplish and the optimum way of Filed: Jan. 5, 2001 doing it at the target processor, in an “interpolative' and (22) context Sensitive fashion. The Source instructions are pro Related U.S. Application Data cessed in blocks of varying Sizes by the dynamic recompiler, which considers the instructions that come before and after (63) Non-provisional of provisional application No. a current instruction to determine the most efficient approach 60/175,008, filed on Jan. 7, 2000. out of Several available approaches for encoding the opera tion code for the target processor to perform the equivalent Publication Classification tasks Specified by the Source instructions. The dynamic compiler comprises a decoding Stage, an optimization Stage (51) Int. Cl. ................................................. G06F 9/45 and an encoding Stage. Patent Application Publication May 30, 2002 Sheet 1 of 3 US 2002/0066086 A1 Patent Application Publication May 30, 2002 Sheet 2 of 3 US 2002/0066086 A1 - \O, 2 Patent Application Publication May 30, 2002 Sheet 3 of 3 US 2002/0066086 A1 fo, 3 US 2002/0066086 A1 May 30, 2002 DYNAMIC RECOMPLER more target instructions to be executed in response to a given Source instruction. - 
												
												A Dynamically Recompiling ARM Emulator POWERED
POWERED TACARM A Dynamically Recompiling ARM Emulator 3rd year project report 2000-2001 University of Warwick Written by David Sharp Supervised by Graham Martin 2 Abstract Dynamically recompiling from one machine code to another can be used to emulate modern microprocessors at realistic speeds. This report is a discussion of the techniques used in implementing a dynamically recompiling emulator of an ARM processor for use in an emulation of a complete computer system. Keywords Emulation, Dynamic Recompilation, Binary Translation, Just-In-Time compilation, Virtual Machine, Microprocessor Simulation, Intermediate Code, ARM. 3 Contents 1. Introduction 7 1.1. What is emulation? 7 1.2. Applications of emulation 7 1.3. Processor emulation techniques 9 1.4. This Project 13 2. Analysis 16 2.1. Introduction to the ARM 16 2.2. Identifying the problem 18 2.3. Getting started 20 2.4. The System Design 21 3. Disassembler 23 3.1. Purpose 23 3.2. ARM decoding 23 3.3. Design 24 4. Interpreter 26 4.1. Purpose 26 4.2. The problem with JIT 26 4.3. The HotSpotTM alternative 26 4.4. Quantifying the JIT problem 27 4.5. Faster decoding 28 4.6. Interfaces 29 4.7. The emulation loop 30 4.8. Implementation 31 4.9. Debugging 32 4.10. Compatibility 33 5. Recompilation 35 5.1. Overview 35 5.2. Methods of generating native code 35 5.3. The use of intermediate code 36 6. Armlets – An Intermediate Code 38 6.1. Purpose 38 6.2. The ‘explicit-implicit problem’ 38 6.3. Options 39 6.4. - 
												
												A Brief History of Just-In-Time Compilation
A Brief History of Just-In-Time JOHN AYCOCK University of Calgary Software systems have been using “just-in-time” compilation (JIT) techniques since the 1960s. Broadly, JIT compilation includes any translation performed dynamically, after a program has started execution. We examine the motivation behind JIT compilation and constraints imposed on JIT compilation systems, and present a classification scheme for such systems. This classification emerges as we survey forty years of JIT work, from 1960–2000. Categories and Subject Descriptors: D.3.4 [Programming Languages]: Processors; K.2 [History of Computing]: Software General Terms: Languages, Performance Additional Key Words and Phrases: Just-in-time compilation, dynamic compilation 1. INTRODUCTION into a form that is executable on a target platform. Those who cannot remember the past are con- What is translated? The scope and na- demned to repeat it. ture of programming languages that re- George Santayana, 1863–1952 [Bartlett 1992] quire translation into executable form covers a wide spectrum. Traditional pro- This oft-quoted line is all too applicable gramming languages like Ada, C, and in computer science. Ideas are generated, Java are included, as well as little lan- explored, set aside—only to be reinvented guages [Bentley 1988] such as regular years later. Such is the case with what expressions. is now called “just-in-time” (JIT) or dy- Traditionally, there are two approaches namic compilation, which refers to trans- to translation: compilation and interpreta- lation that occurs after a program begins tion. Compilation translates one language execution. into another—C to assembly language, for Strictly speaking, JIT compilation sys- example—with the implication that the tems (“JIT systems” for short) are com- translated form will be more amenable pletely unnecessary. - 
												
												Program Dynamic Analysis Overview
4/14/16 Program Dynamic Analysis Overview • Dynamic Analysis • JVM & Java Bytecode [2] • A Java bytecode engineering library: ASM [1] 2 1 4/14/16 What is dynamic analysis? [3] • The investigation of the properties of a running software system over one or more executions 3 Has anyone done dynamic analysis? [3] • Loggers • Debuggers • Profilers • … 4 2 4/14/16 Why dynamic analysis? [3] • Gap between run-time structure and code structure in OO programs Trying to understand one [structure] from the other is like trying to understand the dynamism of living ecosystems from the static taxonomy of plants and animals, and vice-versa. -- Erich Gamma et al., Design Patterns 5 Why dynamic analysis? • Collect runtime execution information – Resource usage, execution profiles • Program comprehension – Find bugs in applications, identify hotspots • Program transformation – Optimize or obfuscate programs – Insert debugging or monitoring code – Modify program behaviors on the fly 6 3 4/14/16 How to do dynamic analysis? • Instrumentation – Modify code or runtime to monitor specific components in a system and collect data – Instrumentation approaches • Source code modification • Byte code modification • VM modification • Data analysis 7 A Running Example • Method call instrumentation – Given a program’s source code, how do you modify the code to record which method is called by main() in what order? public class Test { public static void main(String[] args) { if (args.length == 0) return; if (args.length % 2 == 0) printEven(); else printOdd(); } public - 
												
												Java in Embedded Linux Systems
Java in Embedded Linux Systems Java in Embedded Linux Systems Thomas Petazzoni / Michael Opdenacker Free Electrons http://free-electrons.com/ Created with OpenOffice.org 2.x Java in Embedded Linux Systems © Copyright 2004-2007, Free Electrons, Creative Commons Attribution-ShareAlike 2.5 license http://free-electrons.com Sep 15, 2009 1 Rights to copy Attribution ± ShareAlike 2.5 © Copyright 2004-2008 You are free Free Electrons to copy, distribute, display, and perform the work [email protected] to make derivative works to make commercial use of the work Document sources, updates and translations: Under the following conditions http://free-electrons.com/articles/java Attribution. You must give the original author credit. Corrections, suggestions, contributions and Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license translations are welcome! identical to this one. For any reuse or distribution, you must make clear to others the license terms of this work. Any of these conditions can be waived if you get permission from the copyright holder. Your fair use and other rights are in no way affected by the above. License text: http://creativecommons.org/licenses/by-sa/2.5/legalcode Java in Embedded Linux Systems © Copyright 2004-2007, Free Electrons, Creative Commons Attribution-ShareAlike 2.5 license http://free-electrons.com Sep 15, 2009 2 Best viewed with... This document is best viewed with a recent PDF reader or with OpenOffice.org itself! Take advantage of internal - 
												
												Common Language Infrastructure (CLI) Partitions I to IV
Standard ECMA-335 December 2001 Standardizing Information and Communication Systems Common Language Infrastructure (CLI) Partitions I to IV Phone: +41 22 849.60.00 - Fax: +41 22 849.60.01 - URL: http://www.ecma.ch - Internet: [email protected] Standard ECMA-335 December 2001 Standardizing Information and Communication Systems Common Language Infrastructure (CLI) Partitions I to IV Partition I : Concepts and Architecture Partition II : Metadata Definition and Semantics Partition III : CLI Instruction Set Partition IV : Profiles and Libraries Phone: +41 22 849.60.00 - Fax: +41 22 849.60.01 - URL: http://www.ecma.ch - Internet: [email protected] mb - Ecma-335-Part-I-IV.doc - 16.01.2002 16:02 Common Language Infrastructure (CLI) Partition I: Concepts and Architecture - i - Table of Contents 1Scope 1 2 Conformance 2 3 References 3 4 Glossary 4 5 Overview of the Common Language Infrastructure 19 5.1 Relationship to Type Safety 19 5.2 Relationship to Managed Metadata-driven Execution 20 5.2.1 Managed Code 20 5.2.2 Managed Data 21 5.2.3 Summary 21 6 Common Language Specification (CLS) 22 6.1 Introduction 22 6.2 Views of CLS Compliance 22 6.2.1 CLS Framework 22 6.2.2 CLS Consumer 22 6.2.3 CLS Extender 23 6.3 CLS Compliance 23 6.3.1 Marking Items as CLS-Compliant 24 7 Common Type System 25 7.1 Relationship to Object-Oriented Programming 27 7.2 Values and Types 27 7.2.1 Value Types and Reference Types 27 7.2.2 Built-in Types 27 7.2.3 Classes, Interfaces and Objects 28 7.2.4 Boxing and Unboxing of Values 29 7.2.5 Identity and Equality of Values 29 - 
												
												Transparent Dynamic Optimization: the Design and Implementation of Dynamo
Transparent Dynamic Optimization: The Design and Implementation of Dynamo Vasanth Bala, Evelyn Duesterwald, Sanjeev Banerjia HP Laboratories Cambridge HPL-1999-78 June, 1999 E-mail: [email protected] dynamic Dynamic optimization refers to the runtime optimization optimization, of a native program binary. This report describes the compiler, design and implementation of Dynamo, a prototype trace selection, dynamic optimizer that is capable of optimizing a native binary translation program binary at runtime. Dynamo is a realistic implementation, not a simulation, that is written entirely in user-level software, and runs on a PA-RISC machine under the HPUX operating system. Dynamo does not depend on any special programming language, compiler, operating system or hardware support. Contrary to intuition, we demonstrate that it is possible to use a piece of software to improve the performance of a native, statically optimized program binary, while it is executing. Dynamo not only speeds up real application programs, its performance improvement is often quite significant. For example, the performance of many +O2 optimized SPECint95 binaries running under Dynamo is comparable to the performance of their +O4 optimized version running without Dynamo. Internal Accession Date Only Ó Copyright Hewlett-Packard Company 1999 Contents 1 INTRODUCTION ........................................................................................... 7 2 RELATED WORK ......................................................................................... 9 3 OVERVIEW - 
												
												Infrastructures and Compilation Strategies for the Performance of Computing Systems Erven Rohou
Infrastructures and Compilation Strategies for the Performance of Computing Systems Erven Rohou To cite this version: Erven Rohou. Infrastructures and Compilation Strategies for the Performance of Computing Systems. Other [cs.OH]. Universit´ede Rennes 1, 2015. <tel-01237164> HAL Id: tel-01237164 https://hal.inria.fr/tel-01237164 Submitted on 2 Dec 2015 HAL is a multi-disciplinary open access L'archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destin´eeau d´ep^otet `ala diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publi´esou non, lished or not. The documents may come from ´emanant des ´etablissements d'enseignement et de teaching and research institutions in France or recherche fran¸caisou ´etrangers,des laboratoires abroad, or from public or private research centers. publics ou priv´es. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License HABILITATION À DIRIGER DES RECHERCHES présentée devant L’Université de Rennes 1 Spécialité : informatique par Erven Rohou Infrastructures and Compilation Strategies for the Performance of Computing Systems soutenue le 2 novembre 2015 devant le jury composé de : Mme Corinne Ancourt Rapporteur Prof. Stefano Crespi Reghizzi Rapporteur Prof. Frédéric Pétrot Rapporteur Prof. Cédric Bastoul Examinateur Prof. Olivier Sentieys Président M. André Seznec Examinateur Contents 1 Introduction 3 1.1 Evolution of Hardware . .3 1.1.1 Traditional Evolution . .4 1.1.2 Multicore Era . .4 1.1.3 Amdahl’s Law . .5 1.1.4 Foreseeable Future Architectures . .6 1.1.5 Extremely Complex Micro-architectures . .6 1.2 Evolution of Software Ecosystem . - 
												
												Costing JIT Traces
Costing JIT Traces John Magnus Morton, Patrick Maier, and Philip Trinder University of Glasgow [email protected], {Patrick.Maier, Phil.Trinder}@glasgow.ac.uk Abstract. Tracing JIT compilation generates units of compilation that are easy to analyse and are known to execute frequently. The AJITPar project aims to investigate whether the information in JIT traces can be used to make better scheduling decisions or perform code transformations to adapt the code for a specific parallel architecture. To achieve this goal, a cost model must be developed to estimate the execution time of an individual trace. This paper presents the design and implementation of a system for ex- tracting JIT trace information from the Pycket JIT compiler. We define three increasingly parametric cost models for Pycket traces. We perform a search of the cost model parameter space using genetic algorithms to identify the best weightings for those parameters. We test the accuracy of these cost models for predicting the cost of individual traces on a set of loop-based micro-benchmarks. We also compare the accuracy of the cost models for predicting whole program execution time over the Py- cket benchmark suite. Our results show that the weighted cost model using the weightings found from the genetic algorithm search has the best accuracy. 1 Introduction Modern hardware is increasingly multicore, and increasingly, software is required to exhibit decent parallel performance in order to match the hardware’s poten- tial. Writing performant parallel code is non-trivial for a fixed architecture, yet it is much harder if the target architecture is not known in advance, or if the code is meant to be portable across a range of architectures. - 
												
												Programming with Windows Forms
A P P E N D I X A ■ ■ ■ Programming with Windows Forms Since the release of the .NET platform (circa 2001), the base class libraries have included a particular API named Windows Forms, represented primarily by the System.Windows.Forms.dll assembly. The Windows Forms toolkit provides the types necessary to build desktop graphical user interfaces (GUIs), create custom controls, manage resources (e.g., string tables and icons), and perform other desktop- centric programming tasks. In addition, a separate API named GDI+ (represented by the System.Drawing.dll assembly) provides additional types that allow programmers to generate 2D graphics, interact with networked printers, and manipulate image data. The Windows Forms (and GDI+) APIs remain alive and well within the .NET 4.0 platform, and they will exist within the base class library for quite some time (arguably forever). However, Microsoft has shipped a brand new GUI toolkit called Windows Presentation Foundation (WPF) since the release of .NET 3.0. As you saw in Chapters 27-31, WPF provides a massive amount of horsepower that you can use to build bleeding-edge user interfaces, and it has become the preferred desktop API for today’s .NET graphical user interfaces. The point of this appendix, however, is to provide a tour of the traditional Windows Forms API. One reason it is helpful to understand the original programming model: you can find many existing Windows Forms applications out there that will need to be maintained for some time to come. Also, many desktop GUIs simply might not require the horsepower offered by WPF. - 
												
												NET Core 3 and Unit Testing
Learn C# Programming A guide to building a solid foundation in C# language for writing efcient programs Marius Bancila Rafaele Rialdi Ankit Sharma BIRMINGHAM—MUMBAI Learn C# Programming Copyright © 2020 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every efort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. Commissioning Editor: Richa Tripathi Acquisition Editor: Alok Dhuri Senior Editor: Storm Mann Content Development Editor: Ruvika Rao Technical Editor: Pradeep Sahu Copy Editor: Safs Editing Language Support Editor: Safs Editing Project Coordinator: Francy Puthiry Proofreader: Safs Editing Indexer: Pratik Shirodkar Production Designer: Jyoti Chauhan First published: April 2020 Production reference: 1280420 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78980-586-4 www.packt.com To my smart boys, Cristian and Bogdan, who love learning new things every day.