A Reasonable C++ Wrappered Java Native Interface
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Jeannie: Granting Java Native Interface Developers Their Wishes
Jeannie: Granting Java Native Interface Developers Their Wishes Martin Hirzel Robert Grimm IBM Watson Research Center New York University [email protected] [email protected] Abstract higher-level languages and vice versa. For example, a Java Higher-level languages interface with lower-level languages project can reuse a high-performance C library for binary such as C to access platform functionality, reuse legacy li- decision diagrams (BDDs) through the Java Native Inter- braries, or improve performance. This raises the issue of face [38] (JNI), which is the standard FFI for Java. how to best integrate different languages while also recon- FFI designs aim for productivity, safety, portability, and ciling productivity, safety, portability, and efficiency. This efficiency. Unfortunately, these goals are often at odds. For paper presents Jeannie, a new language design for integrat- instance, Sun’s original FFI for Java, the Native Method In- ing Java with C. In Jeannie, both Java and C code are nested terface [52, 53] (NMI), directly exposed Java objects as C within each other in the same file and compile down to JNI, structs and thus provided simple and fast access to object the Java platform’s standard foreign function interface. By fields. However, this is unsafe, since C code can violate Java combining the two languages’ syntax and semantics, Jean- types, notably by storing an object of incompatible type in a nie eliminates verbose boiler-plate code, enables static error field. Furthermore, it constrains garbage collectors and just- detection across the language boundary, and simplifies dy- in-time compilers, since changes to the data representation namic resource management. -
Working with System Frameworks in Python and Objective-C
Working with System Frameworks in Python and Objective-C by James Barclay Feedback :) j.mp/psumac2015-62 2 Dude, Where’s My Source Code? CODE https://github.com/futureimperfect/psu-pyobjc-demo https://github.com/futureimperfect/PSUDemo SLIDES https://github.com/futureimperfect/slides 3 Dude, Where’s My Source Code? CODE https://github.com/futureimperfect/psu-pyobjc-demo https://github.com/futureimperfect/PSUDemo SLIDES https://github.com/futureimperfect/slides 3 Dude, Where’s My Source Code? CODE https://github.com/futureimperfect/psu-pyobjc-demo https://github.com/futureimperfect/PSUDemo SLIDES https://github.com/futureimperfect/slides 3 Agenda 1. What are system frameworks, and why should you care? 2. Brief overview of the frameworks, classes, and APIs that will be demonstrated. 3. Demo 1: PyObjC 4. Demo 2: Objective-C 5. Wrap up and questions. 4 What’s a System Framework? …and why should you care? (OS X) system frameworks provide interfaces you need to write software for the Mac. Many of these are useful for Mac admins creating: • scripts • GUI applications • command-line tools Learning about system frameworks will teach you more about OS X, which will probably make you a better admin. 5 Frameworks, Classes, and APIs oh my! Cocoa CoreFoundation • Foundation • CFPreferences - NSFileManager CoreGraphics - NSTask • Quartz - NSURLSession - NSUserDefaults • AppKit - NSApplication 6 CoreFoundation CoreFoundation is a C framework that knows about Objective-C objects. Some parts of CoreFoundation are written in Objective-C. • Other parts are written in C. CoreFoundation uses the CF class prefix, and it provides CFString, CFDictionary, CFPreferences, and the like. Some Objective-C objects are really CF types behind the scenes. -
Vmware Fusion 12 Vmware Fusion Pro 12 Using Vmware Fusion
Using VMware Fusion 8 SEP 2020 VMware Fusion 12 VMware Fusion Pro 12 Using VMware Fusion You can find the most up-to-date technical documentation on the VMware website at: https://docs.vmware.com/ VMware, Inc. 3401 Hillview Ave. Palo Alto, CA 94304 www.vmware.com © Copyright 2020 VMware, Inc. All rights reserved. Copyright and trademark information. VMware, Inc. 2 Contents Using VMware Fusion 9 1 Getting Started with Fusion 10 About VMware Fusion 10 About VMware Fusion Pro 11 System Requirements for Fusion 11 Install Fusion 12 Start Fusion 13 How-To Videos 13 Take Advantage of Fusion Online Resources 13 2 Understanding Fusion 15 Virtual Machines and What Fusion Can Do 15 What Is a Virtual Machine? 15 Fusion Capabilities 16 Supported Guest Operating Systems 16 Virtual Hardware Specifications 16 Navigating and Taking Action by Using the Fusion Interface 21 VMware Fusion Toolbar 21 Use the Fusion Toolbar to Access the Virtual-Machine Path 21 Default File Location of a Virtual Machine 22 Change the File Location of a Virtual Machine 22 Perform Actions on Your Virtual Machines from the Virtual Machine Library Window 23 Using the Home Pane to Create a Virtual Machine or Obtain One from Another Source 24 Using the Fusion Applications Menus 25 Using Different Views in the Fusion Interface 29 Resize the Virtual Machine Display to Fit 35 Using Multiple Displays 35 3 Configuring Fusion 37 Setting Fusion Preferences 37 Set General Preferences 37 Select a Keyboard and Mouse Profile 38 Set Key Mappings on the Keyboard and Mouse Preferences Pane 39 Set Mouse Shortcuts on the Keyboard and Mouse Preference Pane 40 Enable or Disable Mac Host Shortcuts on the Keyboard and Mouse Preference Pane 40 Enable Fusion Shortcuts on the Keyboard and Mouse Preference Pane 41 Set Fusion Display Resolution Preferences 41 VMware, Inc. -
JNI – C++ Integration Made Easy
JNI – C++ integration made easy Evgeniy Gabrilovich Lev Finkelstein [email protected] [email protected] Abstract The Java Native Interface (JNI) [1] provides interoperation between Java code running on a Java Virtual Machine and code written in other programming languages (e.g., C++ or assembly). The JNI is useful when existing libraries need to be integrated into Java code, or when portions of the code are implemented in other languages for improved performance. The Java Native Interface is extremely flexible, allowing Java methods to invoke native methods and vice versa, as well as allowing native functions to manipulate Java objects. However, this flexibility comes at the expense of extra effort for the native language programmer, who has to explicitly specify how to connect to various Java objects (and later to disconnect from them, to avoid resource leak). We suggest a template-based framework that relieves the C++ programmer from most of this burden. In particular, the proposed technique provides automatic selection of the right functions to access Java objects based on their types, automatic release of previously acquired resources when they are no longer necessary, and overall simpler interface through grouping of auxiliary functions. Introduction The Java Native Interface1 is a powerful framework for seamless integration between Java and other programming languages (called “native languages” in the JNI terminology). A common case of using the JNI is when a system architect wants to benefit from both worlds, implementing communication protocols in Java and computationally expensive algorithmic parts in C++ (the latter are usually compiled into a dynamic library, which is then invoked from the Java code). -
T U M a Digital Wallet Implementation for Anonymous Cash
Technische Universität München Department of Informatics Bachelor’s Thesis in Information Systems A Digital Wallet Implementation for Anonymous Cash Oliver R. Broome Technische Universität München Department of Informatics Bachelor’s Thesis in Information Systems A Digital Wallet Implementation for Anonymous Cash Implementierung eines digitalen Wallets for anonyme Währungen Author Oliver R. Broome Supervisor Prof. Dr.-Ing. Georg Carle Advisor Sree Harsha Totakura, M. Sc. Date October 15, 2015 Informatik VIII Chair for Network Architectures and Services I conrm that this thesis is my own work and I have documented all sources and material used. Garching b. München, October 15, 2015 Signature Abstract GNU Taler is a novel approach to digital payments with which payments are performed with cryptographically generated representations of actual currencies. The main goal of GNU Taler is to allow taxable anonymous payments to non-anonymous merchants. This thesis documents the implementation of the Android version of the GNU Taler wallet, which allows users to create new Taler-based funds and perform payments with them. Zusammenfassung GNU Taler ist ein neuartiger Ansatz für digitales Bezahlen, bei dem Zahlungen mit kryptographischen Repräsentationen von echten Währungen getätigt werden. Das Hauptziel von GNU Taler ist es, versteuerbare, anonyme Zahlungen an nicht-anonyme Händler zu ermöglichen. Diese Arbeit dokumentiert die Implementation der Android-Version des Taler-Portemonnaies, der es Benutzern erlaubt, neues Taler-Guthaben zu erzeugen und mit ihnen Zahlungen zu tätigen. I Contents 1 Introduction 1 1.1 GNU Taler . .2 1.2 Goals of the thesis . .2 1.3 Outline . .3 2 Implementation prerequisites 5 2.1 Native libraries . .5 2.1.1 Libgcrypt . -
Bridging the Realism Gap for CAD-Based Visual Recognition
University of Passau Faculty of Computer Science and Mathematics (FIM) Chair of Distributed Information Systems Computer Science Bridging the Realism Gap for CAD-Based Visual Recognition Benjamin Planche A Dissertation Presented to the Faculty of Computer Science and Mathematics of the University of Passau in Partial Fulfillment of the Requirements for the Degree of Doctor of Natural Sciences 1. Reviewer Prof. Dr. Harald Kosch Chair of Distributed Information Systems University of Passau 2. Reviewer Prof. Dr. Serge Miguet LIRIS Laboratory Université Lumière Lyon 2 Passau – September 17, 2019 Benjamin Planche Bridging the Realism Gap for CAD-Based Visual Recognition Computer Science, September 17, 2019 Reviewers: Prof. Dr. Harald Kosch and Prof. Dr. Serge Miguet University of Passau Chair of Distributed Information Systems Faculty of Computer Science and Mathematics (FIM) Innstr. 33 94032 Passau Abstract Computer vision aims at developing algorithms to extract high-level information from images and videos. In the industry, for instance, such algorithms are applied to guide manufacturing robots, to visually monitor plants, or to assist human operators in recognizing specific components. Recent progress in computer vision has been dominated by deep artificial neural network, i.e., machine learning methods simulating the way that information flows in our biological brains, and the way that our neural networks adapt and learn from experience. For these methods to learn how to accurately perform complex visual tasks, large amounts of annotated images are needed. Collecting and labeling such domain-relevant training datasets is, however, a tedious—sometimes impossible—task. Therefore, it has become common practice to leverage pre-available three-dimensional (3D) models instead, to generate synthetic images for the recognition algorithms to be trained on. -
A Framework for Compiling C++ Programs with Encrypted Operands
1 E3: A Framework for Compiling C++ Programs with Encrypted Operands Eduardo Chielle, Oleg Mazonka, Homer Gamil, Nektarios Georgios Tsoutsos and Michail Maniatakos Abstract In this technical report we describe E3 (Encrypt-Everything-Everywhere), a framework which enables execution of standard C++ code with homomorphically encrypted variables. The framework automatically generates protected types so the programmer can remain oblivious to the underlying encryption scheme. C++ protected classes redefine operators according to the encryption scheme effectively making the introduction of a new API unnecessary. At its current version, E3 supports a variety of homomorphic encryption libraries, batching, mixing different encryption schemes in the same program, as well as the ability to combine modular computation and bit-level computation. I. INTRODUCTION In this document, we describe the E3 (Encrypt-Everything-Everywhere) framework for deploying private computation in C++ programs. Our framework combines the properties of both bit-level arithmetic and modular arithmetic within the same algorithm. The framework provides novel protected types using standard C++ without introducing a new library API. E3 is developed in C++, is open source [2], and works in Windows and Linux OSes. Unique features of E3: 1) Enables secure general-purpose computation using protected types equivalent to standard C++ integral types. The protected types, and consequently the code using them, do not depend on the underlying encryption scheme, which makes the data encryption independent of the program. 2) Allows using different FHE schemes in the same program as well as the same FHE scheme with different keys. E. Chielle, O. Mazonka, H. Gamil, and M. Maniatakos are with the Center for Cyber Security, New York University Abu Dhabi, UAE. -
Using the Java Bridge
Using the Java Bridge In the worlds of Mac OS X, Yellow Box for Windows, and WebObjects programming, there are two languages in common use: Java and Objective-C. This document describes the Java bridge, a technology from Apple that makes communication between these two languages possible. The first section, ÒIntroduction,Ó gives a brief overview of the bridgeÕs capabilities. For a technical overview of the bridge, see ÒHow the Bridge WorksÓ (page 2). To learn how to expose your Objective-C code to Java, see ÒWrapping Objective-C FrameworksÓ (page 9). If you want to write Java code that references Objective-C classes, see ÒUsing Java-Wrapped Objective-C ClassesÓ (page 6). If you are writing Objective-C code that references Java classes, read ÒUsing Java from Objective-CÓ (page 5). Introduction The original OpenStep system developed by NeXT Software contained a number of object-oriented frameworks written in the Objective-C language. Most developers who used these frameworks wrote their code in Objective-C. In recent years, the number of developers writing Java code has increased dramatically. For the benefit of these programmers, Apple Computer has provided Java APIs for these frameworks: Foundation Kit, AppKit, WebObjects, and Enterprise Objects. They were made possible by using techniques described later in Introduction 1 Using the Java Bridge this document. You can use these same techniques to expose your own Objective-C frameworks to Java code. Java and Objective-C are both object-oriented languages, and they have enough similarities that communication between the two is possible. However, there are some differences between the two languages that you need to be aware of in order to use the bridge effectively. -
Adaptive Heterogeneous Language Support Within a Cloud Runtime
Adaptive Heterogeneous Language Support within a Cloud Runtime Kathleen Ericson and Shrideep Pallickara Department of Computer Science Colorado State University Fort Collins, US {ericson, shrideep}@cs.colostate.edu Abstract— Cloud runtimes are an effective method of executions limits the maximum amount of times a distributing computations, but can force developers to use the computation can be run. The data driven axis schedules runtime’s native language for all computations. We have computations as data becomes available on any input streams extended the Granules cloud runtime with a bridge framework the computation has registered. The user can also specify that that allows computations to be written in C, C++, C#, Python, a computation should be executed on a specific interval. It is and R. We have additionally developed a diagnostics system also possible to specify a custom scheduling strategy that is a which is capable of gathering information on system state, as combination along these three dimensions. A computation well as modifying the underlying bridge framework in can change its scheduling strategy during execution, and response to system load. Given the dynamic nature of Granules enforces the newly established scheduling strategy Granules computations, which can be characterized as long- during the next round of execution. running with intermittent CPU bursts that allow state to build up during successive rounds of execution, these bridges need to Computations in Granules build state over successive be bidirectional and the underlying communication rounds of execution. Though the typical CPU burst time for mechanisms decoupled, robust and configurable. Granules computations during a given execution is short (seconds to a bridges handle a number of different programming languages few minutes), these computations can be long-running with and support multiple methods of communication such as computations toggling between activations and dormancy. -
Nacldroid: Native Code Isolation for Android Applications
NaClDroid: Native Code Isolation for Android Applications Elias Athanasopoulos1, Vasileios P. Kemerlis2, Georgios Portokalidis3, and Angelos D. Keromytis4 1 Vrije Universiteit Amsterdam, The Netherlands [email protected] 2 Brown University, Providence, RI, USA [email protected] 3 Stevens Institute of Technology, Hoboken, NJ, USA [email protected] 4 Columbia University, New York, NY, USA [email protected] Abstract. Android apps frequently incorporate third-party libraries that contain native code; this not only facilitates rapid application develop- ment and distribution, but also provides new ways to generate revenue. As a matter of fact, one in two apps in Google Play are linked with a library providing ad network services. However, linking applications with third-party code can have severe security implications: malicious libraries written in native code can exfiltrate sensitive information from a running app, or completely modify the execution runtime, since all native code is mapped inside the same address space with the execution environment, namely the Dalvik/ART VM. We propose NaClDroid, a framework that addresses these problems, while still allowing apps to include third-party code. NaClDroid prevents malicious native-code libraries from hijacking Android applications using Software Fault Isolation. More specifically, we place all native code in a Native Client sandbox that prevents uncon- strained reads, or writes, inside the process address space. NaClDroid has little overhead; for native code running inside the NaCl sandbox the slowdown is less than 10% on average. Keywords: SFI, NaCl, Android 1 Introduction Android is undoubtedly the most rapidly growing platform for mobile devices, with estimates predicting one billion Android-based smartphones shipping in 2017 [12]. -
Developing and Benchmarking Native Linux Applications on Android
Developing and Benchmarking Native Linux Applications on Android Leonid Batyuk, Aubrey-Derrick Schmidt, Hans-Gunther Schmidt, Ahmet Camtepe, and Sahin Albayrak Technische Universit¨at Berlin, 10587 Berlin, Germany {aubrey.schmidt,leonid.batyuk,hans-gunther.schmidt,ahmet.camtepe, sahin.albayrak}@dai-labor.de http://www.dai-labor.de Abstract. Smartphones get increasingly popular where more and more smartphone platforms emerge. Special attention was gained by the open source platform Android which was presented by the Open Handset Al- liance (OHA) hosting members like Google, Motorola, and HTC. An- droid uses a Linux kernel and a stripped-down userland with a custom Java VM set on top. The resulting system joins the advantages of both environments, while third-parties are intended to develop only Java ap- plications at the moment. In this work, we present the benefit of using native applications in Android. Android includes a fully functional Linux, and using it for heavy computational tasks when developing applications can bring in substantional performance increase. We present how to develop native applications and software components, as well as how to let Linux appli- cations and components communicate with Java programs. Additionally, we present performance measurements of native and Java applications executing identical tasks. The results show that native C applications can be up to 30 times as fast as an identical algorithm running in Dalvik VM. Java applications can become a speed-up of up to 10 times if utilizing JNI. Keywords: software, performance, smartphones, android, C, Java. 1 Introduction With the growing customer interest in smartphones the number of available platforms increases steadily. -
Apple Objective C Guide
Apple Objective C Guide Is Isadore always fungicidal and pearlier when cranks some rapping very full-sail and languorously? Ricky never subcontract any noddles indentureddifferentiates stammeringly. hereat, is Hewe sanatory and stirless enough? Codicillary and robustious Chaddie heist her three-quarter fecundates or This new quarter is stored as part broke your Firebase project, strength he creates a TV object. All goes far less code writing guides are also search for user had a guide was lost when their class. Get started with string should always recommend that work without delaying or other named as a program was possible and comes out! Two applications that apple tv object class names plural would make a guide will experience, and guides provided bar when you can do not. This language they actually two or may be ready for login request has some of indirection is. Objc-property-declaration Finds property declarations in Objective-C files that do besides follow one pattern a property names in Apple's programming guide. This is by main programming language used by Apple for the OS X and iOS operating systems and appoint respective APIs Cocoa and Cocoa Touch This reference. What objective c version? Do careful bounds and a journey under you have interacted with livecoding, do you can indicate included services. With enough working in your needs only easier convenience developers. Please sent these guidelines as voluntary as Apple's developer information. It through be customized with substantial help of scripts and plugins written in Java or Python. Open source code is apple development purposes.