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Building Openjfx
Building OpenJFX Building a UI toolkit for many different platforms is a complex and challenging endeavor. It requires platform specific tools such as C compilers as well as portable tools like Gradle and the JDK. Which tools must be installed differs from platform to platform. While the OpenJFX build system was designed to remove as many build hurdles as possible, it is necessary to build native code and have the requisite compilers and toolchains installed. On Mac and Linux this is fairly easy, but setting up Windows is more difficult. If you are looking for instructions to build FX for JDK 8uNNN, they have been archived here. Before you start Platform Prerequisites Windows Missing paths issue Mac Linux Ubuntu 18.04 Ubuntu 20.04 Oracle Enterprise Linux 7 and Fedora 21 CentOS 8 Common Prerequisites OpenJDK Git Gradle Ant Environment Variables Getting the Sources Using Gradle on The Command Line Build and Test Platform Builds NOTE: cross-build support is currently untested in the mainline jfx-dev/rt repo Customizing the Build Testing Running system tests with Robot Testing with JDK 9 or JDK 10 Integration with OpenJDK Understanding a JDK Modular world in our developer build Adding new packages in a modular world First Step - development Second Step - cleanup Before you start Do you really want to build OpenJFX? We would like you to, but the latest stable build is already available on the JavaFX website, and JavaFX 8 is bundled by default in Oracle JDK 8 (9 and 10 also included JavaFX, but were superseded by 11, which does not). -
Glassfish Server Open Source Edition 3.1 Installation Guide
GlassFish Server Open Source Edition 3.1 Installation Guide Part No: 821–2453 Feburary 2011 Copyright © 2010, 2011, Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related software documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data delivered to U.S. Government customers are “commercial computer software” or “commercial technical data” pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, the use, duplication, disclosure, modification, and adaptation shall be subject to the restrictions and license terms setforth in the applicable Government contract, and, to the extent applicable by the terms of the Government contract, the additional rights set forth in FAR 52.227-19, Commercial Computer Software License (December 2007). Oracle America, Inc., 500 Oracle Parkway, Redwood City, CA 94065. -
Writing R Extensions
Writing R Extensions Version 4.2.0 Under development (2021-09-29) R Core Team This manual is for R, version 4.2.0 Under development (2021-09-29). Copyright c 1999{2021 R Core Team Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this manual into an- other language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the R Core Team. i Table of Contents Acknowledgements ::::::::::::::::::::::::::::::::::::::::::::::::: 1 1 Creating R packages ::::::::::::::::::::::::::::::::::::::::::: 2 1.1 Package structure :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 3 1.1.1 The DESCRIPTION file ::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 4 1.1.2 Licensing ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 8 1.1.3 Package Dependencies::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 9 1.1.3.1 Suggested packages:::::::::::::::::::::::::::::::::::::::::::::::::::::: 12 1.1.4 The INDEX file ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 13 1.1.5 Package subdirectories ::::::::::::::::::::::::::::::::::::::::::::::::::::::: -
Going from Python to Guile Scheme a Natural Progression
Going from Python to Guile Scheme A natural progression Arne Babenhauserheide February 28, 2015 Abstract After 6 years of intense Python-Programming, I am starting into Guile Scheme. And against all my expec- tations, I feel at home. 1 2 The title image is built on Green Tree Python from Michael Gil, licensed under the creativecommons attribution license, and Guile GNU Goatee from Martin Grabmüller, Licensed under GPLv3 or later. This book is licensed as copyleft free culture under the GPLv3 or later. Except for the title image, it is copyright (c) 2014 Arne Babenhauserheide. Contents Contents 3 I My story 7 II Python 11 1 The Strengths of Python 13 1.1 Pseudocode which runs . 13 1.2 One way to do it . 14 1.3 Hackable, but painfully . 15 1.4 Batteries and Bindings . 17 1.5 Scales up . 17 2 Limitations of Python 19 2.1 The warped mind . 19 2.2 Templates condemn a language . 20 3 4 CONTENTS 2.3 Python syntax reached its limits . 21 2.4 Time to free myself . 23 IIIGuile Scheme 25 3 But the (parens)! 29 4 Summary 33 5 Comparing Guile Scheme to the Strengths of Python 35 5.1 Pseudocode . 36 General Pseudocode . 36 Consistency . 37 Pseudocode with loops . 40 Summary . 44 5.2 One way to do it? . 44 5.3 Planned Hackablility, but hard to discover. 50 Accessing variables inside modules . 51 Runtime Self-Introspection . 51 freedom: changing the syntax is the same as reg- ular programming . 58 Discovering starting points for hacking . 60 5.4 Batteries and Bindings: FFI . -
Toward Harnessing High-Level Language Virtual Machines for Further Speeding up Weak Mutation Testing
2012 IEEE Fifth International Conference on Software Testing, Verification and Validation Toward Harnessing High-level Language Virtual Machines for Further Speeding up Weak Mutation Testing Vinicius H. S. Durelli Jeff Offutt Marcio E. Delamaro Computer Systems Department Software Engineering Computer Systems Department Universidade de Sao˜ Paulo George Mason University Universidade de Sao˜ Paulo Sao˜ Carlos, SP, Brazil Fairfax, VA, USA Sao˜ Carlos, SP, Brazil [email protected] [email protected] [email protected] Abstract—High-level language virtual machines (HLL VMs) have tried to exploit the control that HLL VMs exert over run- are now widely used to implement high-level programming ning programs to facilitate and speedup software engineering languages. To a certain extent, their widespread adoption is due activities. Thus, this research suggests that software testing to the software engineering benefits provided by these managed execution environments, for example, garbage collection (GC) activities can benefit from HLL VMs support. and cross-platform portability. Although HLL VMs are widely Test tools are usually built on top of HLL VMs. However, used, most research has concentrated on high-end optimizations they often end up tampering with the emergent computation. such as dynamic compilation and advanced GC techniques. Few Using features within the HLL VMs can avoid such problems. efforts have focused on introducing features that automate or fa- Moreover, embedding testing tools within HLL VMs can cilitate certain software engineering activities, including software testing. This paper suggests that HLL VMs provide a reasonable significantly speedup computationally expensive techniques basis for building an integrated software testing environment. As such as mutation testing [6]. -
Java (Programming Langua a (Programming Language)
Java (programming language) From Wikipedia, the free encyclopedialopedia "Java language" redirects here. For the natural language from the Indonesian island of Java, see Javanese language. Not to be confused with JavaScript. Java multi-paradigm: object-oriented, structured, imperative, Paradigm(s) functional, generic, reflective, concurrent James Gosling and Designed by Sun Microsystems Developer Oracle Corporation Appeared in 1995[1] Java Standard Edition 8 Update Stable release 5 (1.8.0_5) / April 15, 2014; 2 months ago Static, strong, safe, nominative, Typing discipline manifest Major OpenJDK, many others implementations Dialects Generic Java, Pizza Ada 83, C++, C#,[2] Eiffel,[3] Generic Java, Mesa,[4] Modula- Influenced by 3,[5] Oberon,[6] Objective-C,[7] UCSD Pascal,[8][9] Smalltalk Ada 2005, BeanShell, C#, Clojure, D, ECMAScript, Influenced Groovy, J#, JavaScript, Kotlin, PHP, Python, Scala, Seed7, Vala Implementation C and C++ language OS Cross-platform (multi-platform) GNU General Public License, License Java CommuniCommunity Process Filename .java , .class, .jar extension(s) Website For Java Developers Java Programming at Wikibooks Java is a computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few impimplementation dependencies as possible.ble. It is intended to let application developers "write once, run ananywhere" (WORA), meaning that code that runs on one platform does not need to be recompiled to rurun on another. Java applications ns are typically compiled to bytecode (class file) that can run on anany Java virtual machine (JVM)) regardless of computer architecture. Java is, as of 2014, one of tthe most popular programming ng languages in use, particularly for client-server web applications, witwith a reported 9 million developers.[10][11] Java was originallyy developed by James Gosling at Sun Microsystems (which has since merged into Oracle Corporation) and released in 1995 as a core component of Sun Microsystems'Micros Java platform. -
WEP12 Writing TINE Servers in Java
Proceedings of PCaPAC2005, Hayama, Japan WRITING TINE SERVERS IN JAVA Philip Duval and Josef Wilgen Deutsches Elektronen Synchrotron /MST Abstract that the TINE protocol does not deal so much with ‘puts’ The TINE Control System [1] is used to some degree in and ‘gets’ as with data ‘links’. all accelerator facilities at DESY (Hamburg and Zeuthen) One’s first inclination when offering Java in the and plays a major role in HERA. It supports a wide Control System’s portfolio is to say that we don’t need to variety of platforms, which enables engineers and worry about a Java Server API since front-end servers machine physicists as well as professional programmers will always have to access their hardware and that is best to develop and integrate front-end server software into the left to code written in C. Furthermore, if there are real- control system using the operating system and platform of time requirements, Java would not be an acceptable their choice. User applications have largely been written platform owing to Java’s garbage collection kicking in at for Windows platforms (often in Visual Basic). In the next indeterminate intervals. generation of accelerators at DESY (PETRA III and Nevertheless, Java is a powerful language and offers VUV-FEL), it is planned to write the TINE user- numerous features and a wonderful framework for applications primarily in Java. Java control applications avoiding and catching nagging program errors. Thus have indeed enjoyed widespread acceptance within the there does in fact exist a strong desire to develop control controls community. The next step is then to offer Java as system servers using Java. -
Bypassing Portability Pitfalls of High-Level Low-Level Programming
Bypassing Portability Pitfalls of High-level Low-level Programming Yi Lin, Stephen M. Blackburn Australian National University [email protected], [email protected] Abstract memory-safety, encapsulation, and strong abstraction over hard- Program portability is an important software engineering consider- ware [12], which are desirable goals for system programming as ation. However, when high-level languages are extended to effec- well. Thus, high-level languages are potential candidates for sys- tively implement system projects for software engineering gain and tem programming. safety, portability is compromised—high-level code for low-level Prior research has focused on the feasibility and performance of programming cannot execute on a stock runtime, and, conversely, applying high-level languages to system programming [1, 7, 10, a runtime with special support implemented will not be portable 15, 16, 21, 22, 26–28]. The results showed that, with proper ex- across different platforms. tension and restriction, high-level languages are able to undertake We explore the portability pitfall of high-level low-level pro- the task of low-level programming, while preserving type-safety, gramming in the context of virtual machine implementation tasks. memory-safety, encapsulation and abstraction. Notwithstanding the Our approach is designing a restricted high-level language called cost for dynamic compilation and garbage collection, the perfor- RJava, with a flexible restriction model and effective low-level ex- mance of high-level languages when used to implement a virtual tensions, which is suitable for different scopes of virtual machine machine is still competitive with using a low-level language [2]. implementation, and also suitable for a low-level language bypass Using high-level languages to architect large systems is bene- for improved portability. -
Accelerate Your Mobile Apps for Android On
The Developer Summit at ARM® TechCon™ 2013 Accelerate your Mobile Apps and Games for Android™ on ARM Matthew Du Puy! Software Engineer, ARM The Developer Summit at ARM® TechCon™ 2013 Presenter Matthew Du Puy! Software Engineer, ARM! ! Matthew Du Puy is a software engineer at ARM and is currently working to ensuring mobile app performance on the latest ARM technologies. Previously a self employed embedded systems software contractor working primarily on the Linux Kernel and a mountain climber.! ! Contact Details: ! Email: [email protected] Title: Accelerate Your Mobile Apps and Games for Android on ARM Overview: Learn to perform Android application and systems level analysis on Android apps and platforms using tools from Google, ARM, AT&T and others. Find bottlenecks in both SDK and NDK activities and learn different approaches to fixing those bottlenecks and better utilize platform technologies and APIs. Problem: This is not a desktop ▪ Mobile apps require special design considerations that aren’t always clear and tools to solve increasingly complex systems are limited! ▪ Animations and games drop frames! ▪ Networking, display, real time audio and video processing eat battery! ▪ App won’t fit in memory constraints Analysis ▪ Fortunately Google, ARM and many others are developing analysis tools and solutions to these problems! ▪ Is my app … ?! ▪ CPU/GPGPU bound! ▪ I/O or memory constrained! ▪ Power efficient! ▪ What can I do to fix it?# (short of buying everyone who runs my app# a Quad-core ARM® Cortex™-A15 processor # & ARM Mali™-T604 processor or Octo phone) In emerging markets, not everyone has access to the latest and greatest devices but they still want to game, shop, socialize and learn with their mobiles. -
Here I Led Subcommittee Reports Related to Data-Intensive Science and Post-Moore Computing) and in CRA’S Board of Directors Since 2015
Vivek Sarkar Curriculum Vitae Contents 1 Summary 2 2 Education 3 3 Professional Experience 3 3.1 2017-present: College of Computing, Georgia Institute of Technology . 3 3.2 2007-present: Department of Computer Science, Rice University . 5 3.3 1987-2007: International Business Machines Corporation . 7 4 Professional Awards 11 5 Research Awards 12 6 Industry Gifts 15 7 Graduate Student and Other Mentoring 17 8 Professional Service 19 8.1 Conference Committees . 20 8.2 Advisory/Award/Review/Steering Committees . 25 9 Keynote Talks, Invited Talks, Panels (Selected) 27 10 Teaching 33 11 Publications 37 11.1 Refereed Conference and Journal Publications . 37 11.2 Refereed Workshop Publications . 51 11.3 Books, Book Chapters, and Edited Volumes . 58 12 Patents 58 13 Software Artifacts (Selected) 59 14 Personal Information 60 Page 1 of 60 01/06/2020 1 Summary Over thirty years of sustained contributions to programming models, compilers and runtime systems for high performance computing, which include: 1) Leading the development of ASTI during 1991{1996, IBM's first product compiler component for optimizing locality, parallelism, and the (then) new FORTRAN 90 high-productivity array language (ASTI has continued to ship as part of IBM's XL Fortran product compilers since 1996, and was also used as the foundation for IBM's High Performance Fortran compiler product); 2) Leading the research and development of the open source Jikes Research Virtual Machine at IBM during 1998{2001, a first-of-a-kind Java Virtual Machine (JVM) and dynamic compiler implemented -
A Hardware Abstraction Layer in Java
A Hardware Abstraction Layer in Java MARTIN SCHOEBERL Vienna University of Technology, Austria STEPHAN KORSHOLM Aalborg University, Denmark TOMAS KALIBERA Purdue University, USA and ANDERS P. RAVN Aalborg University, Denmark Embedded systems use specialized hardware devices to interact with their environment, and since they have to be dependable, it is attractive to use a modern, type-safe programming language like Java to develop programs for them. Standard Java, as a platform independent language, delegates access to devices, direct memory access, and interrupt handling to some underlying operating system or kernel, but in the embedded systems domain resources are scarce and a Java virtual machine (JVM) without an underlying middleware is an attractive architecture. The contribution of this paper is a proposal for Java packages with hardware objects and interrupt handlers that interface to such a JVM. We provide implementations of the proposal directly in hardware, as extensions of standard interpreters, and finally with an operating system middleware. The latter solution is mainly seen as a migration path allowing Java programs to coexist with legacy system components. An important aspect of the proposal is that it is compatible with the Real-Time Specification for Java (RTSJ). Categories and Subject Descriptors: D.4.7 [Operating Systems]: Organization and Design—Real-time sys- tems and embedded systems; D.3.3 [Programming Languages]: Language Classifications—Object-oriented languages; D.3.3 [Programming Languages]: Language Constructs and Features—Input/output General Terms: Languages, Design, Implementation Additional Key Words and Phrases: Device driver, embedded system, Java, Java virtual machine 1. INTRODUCTION When developing software for an embedded system, for instance an instrument, it is nec- essary to control specialized hardware devices, for instance a heating element or an inter- ferometer mirror. -
Apache Harmony Project Tim Ellison Geir Magnusson Jr
The Apache Harmony Project Tim Ellison Geir Magnusson Jr. Apache Harmony Project http://harmony.apache.org TS-7820 2007 JavaOneSM Conference | Session TS-7820 | Goal of This Talk In the next 45 minutes you will... Learn about the motivations, current status, and future plans of the Apache Harmony project 2007 JavaOneSM Conference | Session TS-7820 | 2 Agenda Project History Development Model Modularity VM Interface How Are We Doing? Relevance in the Age of OpenJDK Summary 2007 JavaOneSM Conference | Session TS-7820 | 3 Agenda Project History Development Model Modularity VM Interface How Are We Doing? Relevance in the Age of OpenJDK Summary 2007 JavaOneSM Conference | Session TS-7820 | 4 Apache Harmony In the Beginning May 2005—founded in the Apache Incubator Primary Goals 1. Compatible, independent implementation of Java™ Platform, Standard Edition (Java SE platform) under the Apache License 2. Community-developed, modular architecture allowing sharing and independent innovation 3. Protect IP rights of ecosystem 2007 JavaOneSM Conference | Session TS-7820 | 5 Apache Harmony Early history: 2005 Broad community discussion • Technical issues • Legal and IP issues • Project governance issues Goal: Consolidation and Consensus 2007 JavaOneSM Conference | Session TS-7820 | 6 Early History Early history: 2005/2006 Initial Code Contributions • Three Virtual machines ● JCHEVM, BootVM, DRLVM • Class Libraries ● Core classes, VM interface, test cases ● Security, beans, regex, Swing, AWT ● RMI and math 2007 JavaOneSM Conference | Session TS-7820 |