Building a JVM with Third Party Software
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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 If you are looking for instructions to build FX for JDK 8uNNN, they have been archived here.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on the JavaFX website, and JavaFX 8 is bundled by default in Oracle JDK 8 (9 and 10 also included JavaFX, but were superseded by 11, which does not). -
The LLVM Instruction Set and Compilation Strategy
The LLVM Instruction Set and Compilation Strategy Chris Lattner Vikram Adve University of Illinois at Urbana-Champaign lattner,vadve ¡ @cs.uiuc.edu Abstract This document introduces the LLVM compiler infrastructure and instruction set, a simple approach that enables sophisticated code transformations at link time, runtime, and in the field. It is a pragmatic approach to compilation, interfering with programmers and tools as little as possible, while still retaining extensive high-level information from source-level compilers for later stages of an application’s lifetime. We describe the LLVM instruction set, the design of the LLVM system, and some of its key components. 1 Introduction Modern programming languages and software practices aim to support more reliable, flexible, and powerful software applications, increase programmer productivity, and provide higher level semantic information to the compiler. Un- fortunately, traditional approaches to compilation either fail to extract sufficient performance from the program (by not using interprocedural analysis or profile information) or interfere with the build process substantially (by requiring build scripts to be modified for either profiling or interprocedural optimization). Furthermore, they do not support optimization either at runtime or after an application has been installed at an end-user’s site, when the most relevant information about actual usage patterns would be available. The LLVM Compilation Strategy is designed to enable effective multi-stage optimization (at compile-time, link-time, runtime, and offline) and more effective profile-driven optimization, and to do so without changes to the traditional build process or programmer intervention. LLVM (Low Level Virtual Machine) is a compilation strategy that uses a low-level virtual instruction set with rich type information as a common code representation for all phases of compilation. -
Extending the UHC LLVM Backend: Adding Support for Accurate Garbage Collection
Extending the UHC LLVM backend: Adding support for accurate garbage collection Paul van der Ende MSc Thesis October 18, 2010 INF/SCR-09-59 Daily Supervisors: Center for Software Technology dr. A. Dijkstra Dept. of Information and Computing Sciences drs. J.D. Fokker Utrecht University Utrecht, the Netherlands Second Supervisor: prof. dr. S.D. Swierstra Abstract The Utrecht Haskell Compiler has an LLVM backend for whole program analyse mode. This backend pre- viously used the Boehm-Weiser library for heap allocation and conservative garbage collection. Recently an accurate garbage collector for the UHC compiler has been developed. We wanted this new garbage collection library to work with the LLVM backend. But since this new collector is accurate, it needs cooperation with the LLVM backend. Functionality needs to be added to find the set of root references and traversing all live references. To find the root set, the bytecode interpreter backend currently uses static stack maps. This is where the problem arises. The LLVM compiler is known to do various aggressive transformations. These optimizations might change the stack layout described by the static stack map. So to avoid this problem we wanted to use the shadow-stack provided by the LLVM framework. This is a dynamic structure maintained on the stack to safely find the garbage collection roots. We expect that the shadow-stack approach comes with a runtime overhead for maintaining this information dynamically on the stack. So we did measure the impact of this method. We also measured the performance improvement of the new garbage collection method used and compare it with the other UHC backends. -
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]. -
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. -
Improving Memory Management Security for C and C++
Improving memory management security for C and C++ Yves Younan, Wouter Joosen, Frank Piessens, Hans Van den Eynden DistriNet, Katholieke Universiteit Leuven, Belgium Abstract Memory managers are an important part of any modern language: they are used to dynamically allocate memory for use in the program. Many managers exist and depending on the operating system and language. However, two major types of managers can be identified: manual memory allocators and garbage collectors. In the case of manual memory allocators, the programmer must manually release memory back to the system when it is no longer needed. Problems can occur when a programmer forgets to release it (memory leaks), releases it twice or keeps using freed memory. These problems are solved in garbage collectors. However, both manual memory allocators and garbage collectors store management information for the memory they manage. Often, this management information is stored where a buffer overflow could allow an attacker to overwrite this information, providing a reliable way to achieve code execution when exploiting these vulnerabilities. In this paper we describe several vulnerabilities for C and C++ and how these could be exploited by modifying the management information of a representative manual memory allocator and a garbage collector. Afterwards, we present an approach that, when applied to memory managers, will protect against these attack vectors. We implemented our approach by modifying an existing widely used memory allocator. Benchmarks show that this implementation has a negligible, sometimes even beneficial, impact on performance. 1 Introduction Security has become an important concern for all computer users. Worms and hackers are a part of every day internet life. -
What Is LLVM? and a Status Update
What is LLVM? And a Status Update. Approved for public release Hal Finkel Leadership Computing Facility Argonne National Laboratory Clang, LLVM, etc. ✔ LLVM is a liberally-licensed(*) infrastructure for creating compilers, other toolchain components, and JIT compilation engines. ✔ Clang is a modern C++ frontend for LLVM ✔ LLVM and Clang will play significant roles in exascale computing systems! (*) Now under the Apache 2 license with the LLVM Exception LLVM/Clang is both a research platform and a production-quality compiler. 2 A role in exascale? Current/Future HPC vendors are already involved (plus many others)... Apple + Google Intel (Many millions invested annually) + many others (Qualcomm, Sony, Microsoft, Facebook, Ericcson, etc.) ARM LLVM IBM Cray NVIDIA (and PGI) Academia, Labs, etc. AMD 3 What is LLVM: LLVM is a multi-architecture infrastructure for constructing compilers and other toolchain components. LLVM is not a “low-level virtual machine”! LLVM IR Architecture-independent simplification Architecture-aware optimization (e.g. vectorization) Assembly printing, binary generation, or JIT execution Backends (Type legalization, instruction selection, register allocation, etc.) 4 What is Clang: LLVM IR Clang is a C++ frontend for LLVM... Code generation Parsing and C++ Source semantic analysis (C++14, C11, etc.) Static analysis ● For basic compilation, Clang works just like gcc – using clang instead of gcc, or clang++ instead of g++, in your makefile will likely “just work.” ● Clang has a scalable LTO, check out: https://clang.llvm.org/docs/ThinLTO.html 5 The core LLVM compiler-infrastructure components are one of the subprojects in the LLVM project. These components are also referred to as “LLVM.” 6 What About Flang? ● Started as a collaboration between DOE and NVIDIA/PGI. -
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. -
Comparative Studies of Programming Languages; Course Lecture Notes
Comparative Studies of Programming Languages, COMP6411 Lecture Notes, Revision 1.9 Joey Paquet Serguei A. Mokhov (Eds.) August 5, 2010 arXiv:1007.2123v6 [cs.PL] 4 Aug 2010 2 Preface Lecture notes for the Comparative Studies of Programming Languages course, COMP6411, taught at the Department of Computer Science and Software Engineering, Faculty of Engineering and Computer Science, Concordia University, Montreal, QC, Canada. These notes include a compiled book of primarily related articles from the Wikipedia, the Free Encyclopedia [24], as well as Comparative Programming Languages book [7] and other resources, including our own. The original notes were compiled by Dr. Paquet [14] 3 4 Contents 1 Brief History and Genealogy of Programming Languages 7 1.1 Introduction . 7 1.1.1 Subreferences . 7 1.2 History . 7 1.2.1 Pre-computer era . 7 1.2.2 Subreferences . 8 1.2.3 Early computer era . 8 1.2.4 Subreferences . 8 1.2.5 Modern/Structured programming languages . 9 1.3 References . 19 2 Programming Paradigms 21 2.1 Introduction . 21 2.2 History . 21 2.2.1 Low-level: binary, assembly . 21 2.2.2 Procedural programming . 22 2.2.3 Object-oriented programming . 23 2.2.4 Declarative programming . 27 3 Program Evaluation 33 3.1 Program analysis and translation phases . 33 3.1.1 Front end . 33 3.1.2 Back end . 34 3.2 Compilation vs. interpretation . 34 3.2.1 Compilation . 34 3.2.2 Interpretation . 36 3.2.3 Subreferences . 37 3.3 Type System . 38 3.3.1 Type checking . 38 3.4 Memory management . -
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 | -
A Post-Apocalyptic Sun.Misc.Unsafe World
A Post-Apocalyptic sun.misc.Unsafe World http://www.superbwallpapers.com/fantasy/post-apocalyptic-tower-bridge-london-26546/ Chris Engelbert Twitter: @noctarius2k Jatumba! 2014, 2015, 2016, … Disclaimer This talk is not going to be negative! Disclaimer But certain things are highly speculative and APIs or ideas might change by tomorrow! sun.misc.Scissors http://www.underwhelmedcomic.com/wp-content/uploads/2012/03/runningdude.jpg sun.misc.Unsafe - What you (don’t) know sun.misc.Unsafe - What you (don’t) know • Internal class (sun.misc Package) sun.misc.Unsafe - What you (don’t) know • Internal class (sun.misc Package) sun.misc.Unsafe - What you (don’t) know • Internal class (sun.misc Package) • Used inside the JVM / JRE sun.misc.Unsafe - What you (don’t) know • Internal class (sun.misc Package) • Used inside the JVM / JRE // Unsafe mechanics private static final sun.misc.Unsafe U; private static final long QBASE; private static final long QLOCK; private static final int ABASE; private static final int ASHIFT; static { try { U = sun.misc.Unsafe.getUnsafe(); Class<?> k = WorkQueue.class; Class<?> ak = ForkJoinTask[].class; example: QBASE = U.objectFieldOffset (k.getDeclaredField("base")); java.util.concurrent.ForkJoinPool QLOCK = U.objectFieldOffset (k.getDeclaredField("qlock")); ABASE = U.arrayBaseOffset(ak); int scale = U.arrayIndexScale(ak); if ((scale & (scale - 1)) != 0) throw new Error("data type scale not a power of two"); ASHIFT = 31 - Integer.numberOfLeadingZeros(scale); } catch (Exception e) { throw new Error(e); } } } sun.misc.Unsafe -
Openjdk – the Future of Open Source Java on GNU/Linux
OpenJDK – The Future of Open Source Java on GNU/Linux Dalibor Topić Java F/OSS Ambassador Blog aggregated on http://planetjdk.org Java Implementations Become Open Source Java ME, Java SE, and Java EE 2 Why now? Maturity Java is everywhere Adoption F/OSS growing globally Innovation Faster progress through participation 3 Why GNU/Linux? Values Freedom as a core value Stack Free Software above and below the JVM Demand Increasing demand for Java integration 4 Who profits? Developers New markets, new possibilities Customers More innovations, reduced risk Sun Mindshare, anchoring Java in GNU/Linux 5 License + Classpath GPL v2 Exception • No proprietary forks (for SE, EE) • Popular & trusted • Programs can have license any license • Compatible with • Improvements GNU/Linux remain in the community • Fostering adoption • FSFs license for GNU Classpath 6 A Little Bit Of History Jun 1996: Work on gcj starts Nov 1996: Work on Kaffe starts Feb 1998: First GNU Classpath Release Mar 2000: GNU Classpath and libgcj merge Dec 2002: Eclipse runs on gcj/Classpath Oct 2003: Kaffe switches to GNU Classpath Feb 2004: First FOSDEM Java Libre track Apr 2004: Richard Stallman on the 'Java Trap' Jan 2005: OpenOffice.org runs on gcj Mai 2005: Work on Harmony starts 7 Sun & Open Source Java RIs Juni 2005: Java EE RI Glassfish goes Open Source Mai 2006: First Glassfish release Mai 2006: Java announced to go Open Source November 2006: Java ME RI PhoneME goes Open Source November 2006: Java SE RI Hotspot und Javac go Open Source Mai 2007: The rest of Java SE follows suit 8 Status: JavaOne, Mai 2007 OpenJDK can be fully built from source, 'mostly' Open Source 25,169 Source code files 894 (4%) Binary files (“plugs”) 1,885 (8%) Open Source, though not GPLv2 The rest is GPLv2 (+ CP exception) Sun couldn't release the 4% back then as free software.