DOCSLIB.ORG

SUSE® and ARM ARM and 64-Bit ARM Update 2014

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
SUSE® and ARM ARM and 64-Bit ARM Update 2014 SUSE® and ARM ARM and 64-bit ARM Update 2014 Andrew Wafaa Dirk Müller Principal Engineer openSUSE ARM Team ARM Ltd SUSE [email protected] [email protected] openSUSE® Runs on ... … your laptop … your desktop … your server 2 openSUSE® Runs on ... x86 … your laptop … your desktop x86 x86 … your server 3 Is There More? (open)SUSE® Runs on ... 155,656 x86_64 Cores with 300 TB of RAM 5 SUSE® Runs on ... 9728 ia64 Cores, 30 TB RAM 6 SUSE® Also Runs on ... 2880 Power7 (ppc64) cores 7 SUSE® Runs on Mainframe IBM zSeries 8 Nothing More? openSUSE® on This? 10 What About openSUSE® on This? CuBox-I Cortex A9 (IMX.6), 1GB RAM 11 openSUSE® on “Supercomputers” ;-) • 12 ARM and Servers? 13 Data Centers are Evolving Today Next 3 Years 5 Years + Data center workload characteristics are scaling out Total cost Throughput Workload of optimized ownership 14 ARM and Servers? • 15 What is ARM? What is ARM? • Most popular CPU architecture: ‒ More than 40,000,000,000 CPUs are ARM based ‒ 16,000,000 processors sold every day • “Low power leadership” • Optimized for “System on a Chip” 17 System on Chip 18 System On Chip 19 System On Chip 20 System On Chip 21 System On Chip 22 System On Chip SoC 23 ARM's “Cortex – A“ Series ARMv8 (A57/A53) ARMv7 (A15/A7) ARMv7 (A8/A9) 24 ARM v5/6/7/8 CRYPTO CRYPTO VFPv3/v4 Key feature NEON ARMv7-A Adv SIMD compatibility Thumb-2 A32+T32 ISAs A64 ISA TrustedZone Including: Including: • Scalar FP • Scalar FP SIMD (SD and DP) (SD and DP) • Adv SIMD • Adv SIMD VFPv2 (SP Float) (SP & DP Float) AArch32 AArch64 Jazelle ARMv5 ARMv6 ARMv7-A/R ARMv8-A 25 ARM in the Enterprise Target Workloads • Storage – SDS (Ceph/OrangeFS) • Scale out (Hyperscale) – Cloud – Big Data – HPC • Networking – NFV – SDN – Base stations – Routers • Web – Gateways/Frontends 27 Faster CPU is Better! • High CPU power is not needed everywhere ‒ Static web serving/CDN, caching ‒ Batch analytics / “Big data” ‒ Cloud, dynamic web content serving (to some extend) ‒ Block storage, warehousing/cold, 28 Pick Your Battles One Size Does Not Fit All Web NoSQL/Big Data Hosting – Static content Hosting – Dynamic content IO MEM CPU Caching Front-end Load Balancing, Proxy Social Media Content Email Web: Light SQL Distributed Block Storage Cold Storage 0% 25% 50% 75% 100% 29 Server Ecosystem - ODM 30 Server Ecosystem - OEM 31 Does My Workload Run on ARM? • Java - OpenJDK & Oracle JVM • Web - Apache / NGINX / NodeJS* • Virtualization - KVM & Xen • DataBase - Postgres / MariaDB / MySQL / MongoDB* / CouchDB • Containers - LXC & Docker* • Big Data - Hadoop • Storage - Ceph 32 Is It A Pipe Dream? • Used in the real world on HP Moonshot by: – Paypal - Distributed Apache Flume – Sandia National Labs - Green Exascale HPC 33 ARM Server Hardware Overview Why ARM Servers ? Why now? http://www.google.com/about/datacenters/ 35 Why ARM Servers? Why now? • Workload optimized solutions significantly increased TCO – One size doesn’t fit all (anymore) – TCO is king at large scale – New workloads and scale forced re-evaluation of what’s optimal http://www.google.com/about/datacenters/ 36 Why ARM Servers? Why now? • Value chain is seeking increased innovation and choice – Many ARM solutions coming to market - competition is healthy! – Faster innovation needed by cloud & web leaders http://www.google.com/about/datacenters/ 37 Why ARM Servers? Why now? • ARM business model enables innovation & differentiation – It’s not just about a low power core – it’s what you put around it – ARM cores already used in networking & storage components – Experts in those fields can leverage their existing IP http://www.google.com/about/datacenters/ 38 ARM Server Hardware Overview 39 AMD ‚Seattle‘ @ OCP V - 01/2014 40 HP Moonshot System The new style of IT drives business revenue Mobile Apps eCommerce, Online gaming Static & dynamic web Online sharing and Data mining, analytics eBusiness Streaming media collaboration HP Moonshot System Software defined servers 45 individually serviceable hot-plug cartridges Moonshot 1500 Chassis Supports shared components including power, cooling, and management and fabric 42 Increased Density – Reduced TCO 8.27” 2.9” 26” 19” 43 Cavium „Thunder-X“ • Up to 48 64-bit ARM cores @ 2.5 GHz • Up to 1 TB RAM 40 GbE/ 40 GbE/ 100 GbE Up to 100 10/40GbE 16MB Ethernet Up to 48 4x 72-bit 100GbE Cache Fabric 2.5GHz DDR3/4 Sub ARM64 Controller Syste Cores s PCIe Gen3 m PCIe Gen3 PCIe Gen3 Security Cavium SATAv3 Coherent Processor Interconne Other IO Workload Accelerators ct (CCPI™) 44 Cavium „Thunder-X“ Cloud, Web Serving Distributed Storage Telecommunication Servers Secure Web Frontend Servers 45 Hardware Working for You • ThunderX_CP™: Up to 48 highly efficient cores along with integrated virtSOC, dual socket coherency, multiple 10/40 GbE and high memory bandwidth. This family is optimized for private and public cloud web servers, content delivery, web caching, search and social media workloads. • ThunderX_ST™: Up to 48 highly efficient cores along with integrated virtSOC, multiple SATAv3 controllers, 10/40 GbE & PCIe Gen3 ports, high memory bandwidth, dual socket coherency, and scalable fabric for east-west as well as north-south traffic connectivity. This family includes hardware accelerators for data protection/ integrity/security, user to user efficient data movement (RoCE) and compressed storage. This family is optimized for Hadoop, block & object storage, distributed file storage and hot/warm/cold storage type workloads. • ThunderX_SC™: Up to 48 highly efficient cores along with integrated virtSOC, 10/40 GbE connectivity, multiple PCIe Gen3 ports, high memory bandwidth, dual socket coherency, and scalable fabric for east-west as well as north-south traffic connectivity. The hardware accelerators include Cavium’s industry leading, 4th generation NITROX and TurboDPI technology with acceleration for IPSec, SSL, Anti-virus, Anti-malware, firewall and DPI. This family is optimized for Secure Web front-end, security appliances and Cloud RAN type workloads. • ThunderX_NT™: Up to 48 highly efficient cores along with integrated virtSOC, 10/40/100 GbE connectivity, multiple PCIe Gen3 ports, high memory bandwidth, dual socket coherency, and scalable fabric with feature rich capabilities for bandwidth provisioning , QoS, traffic Shaping and tunnel termination. The hardware accelerators include high packet throughput processing, network virtualization and data monitoring. This family is optimized for media servers, scale-out embedded applications and NFV type workloads. 46 SUSE® and ARM openSUSE® Runs on ... 48 openSUSE® Runs on ... x86 … your laptop … your desktop x86 x86 … your server 49 ARM-based Machines Tablets Tiny laptops Smartphones Netbooks Cloud nodes and Low-Energy Servers 50 ARM-based Machines Tablets Tiny laptops Smartphones Netbooks Cloud nodes and Low-Energy Servers 51 openSUSE® on ARM Team Virtual team of technical experts from SUSE® and the openSUSE community Strong collaboration with technology providers GO! Started in Q3/2011 52 openSUSE® on ARM Timeline openSUSE 12.3 openSUSE 13.2 ARM release ARM release April 10 Nov 2013 2014 2015 March 5 Nov 19th openSUSE 12.3 openSUSE 13.1 AArch64 (port) ARMv7 and ARMv8 53 openSUSE® Enabled Platforms Foundation Model 54 Challenges • Booting • Deployment 55 Booting on x86 Firmware Bootloader Grub 2 Kernel OS 56 Booting on ARM • Firmware is part of OS, not of hardware • Sometimes hardware specific kernel • Operating system with customizations 57 32-bit ARM Booting UU--BootBoot UU-Boot-Boot UU-Boot-Boot • Many U-Boots KernelKernel KernelKernel KernelKernel • Many Kernels OS OSOS OS • One Repository OSOS 58 32-bit ARM Booting with Multiarch UU-Boot-Boot ++ FDTFDT UU-Boot-Boot ++ FDTFDT UU-Boot-Boot ++ FDTFDT • Many U-Boots • Many FDTs KernelKernel • One Kernel KernelKernel KernelKernel • One Repository OSOS OSOS OSOS 59 64-bit ARM Booting UEFI • One Kernel • One Repository • One Distribution Kernel OS 60 Challenges • Booting • Deployment 61 openSUSE®, ARM, and Kiwi Deployment Challenges • Most ARM hardware does not have a CD drive 63 Deployment Challenges • Single install media is currently not possible ‒ Special bootloader for each SoC needed ‒ Kernel is also often still device specific 64 Deployment Solution • Extended KIWI with extra targets for ARM ‒ “Generic” Chroot target ‒ SoC specific u-boot based Appliances 65 Challenges • Booting • Deployment 66 Does It Run? YES! + http://www.flickr.com/photos/alorenzi/6277701171 67 Raspberry Pi 68 Samsung “Chromebook” 69 BeagleBoard.org 70 Pandaboard.org 71 Exynos 5 boards 72 64 bit ARM Server 73 Anything Else? We're working on some other devices as well You can help! ‒ Test our machine images ‒ Provide us test hardware ‒ Help us with missing pieces for your individual device! 75 openSUSE® on ARM Status and Outlook openSUSE® 13.2 • ARMv6, ARMv7 and AArch64 is available • Ready-to-use images are available for a few boards • More will be added over the coming weeks 77 Question & Answer Call to action line one and call to action line two www.calltoaction.com 79 Thank you http://en.opensuse.org/Portal:ARM [email protected] 80 Unpublished Work of SUSE. All Rights Reserved. This work is an unpublished work and contains confidential, proprietary, and trade secret information of SUSE. Access to this work is restricted to SUSE employees who have a need to know to perform tasks within the scope of their assignments. No part of this work may be practiced, performed, copied, distributed, revised, modified, translated, abridged, condensed, expanded, collected, or adapted without the prior written consent of SUSE. Any use or exploitation of this work without authorization could subject the perpetrator to criminal and civil liability. General Disclaimer This document is not to be construed as a promise by any participating company to develop, deliver, or market a product. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions.
Load more

Recommended publications
  • 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.
    [Show full text]
  • Real-Time Java for Embedded Devices: the Javamen Project*
    REAL-TIME JAVA FOR EMBEDDED DEVICES: THE JAVAMEN PROJECT* A. Borg, N. Audsley, A. Wellings The University of York, UK ABSTRACT: Hardware Java-specific processors have been shown to provide the performance benefits over their software counterparts that make Java a feasible environment for executing even the most computationally expensive systems. In most cases, the core of these processors is a simple stack machine on which stack operations and logic and arithmetic operations are carried out. More complex bytecodes are implemented either in microcode through a sequence of stack and memory operations or in Java and therefore through a set of bytecodes. This paper investigates the Figure 1: Three alternatives for executing Java code (take from (6)) state-of-the-art in Java processors and identifies two areas of improvement for specialising these processors timeliness as a key issue. The language therefore fails to for real-time applications. This is achieved through a allow more advanced temporal requirements of threads combination of the implementation of real-time Java to be expressed and virtual machine implementations components in hardware and by using application- may behave unpredictably in this context. For example, specific characteristics expressed at the Java level to whereas a basic thread priority can be specified, it is not drive a co-design strategy. An implementation of these required to be observed by a virtual machine and there propositions will provide a flexible Ravenscar- is no guarantee that the highest priority thread will compliant virtual machine that provides better preempt lower priority threads. In order to address this performance while still guaranteeing real-time shortcoming, two competing specifications have been requirements.
    [Show full text]
  • S32 Design Studio for S32 Platform 3.4 Installation Guide
    S32 Design Studio for S32 Platform 3.4 Installation Guide Document Number: S32DSIG Rev. 1.0, 12/2020 Contents System Requirements......................................................................................................................3 Installation prerequisites for Linux platforms.............................................................................5 Downloading S32DS 3.4................................................................................................................12 Downloading the S32DS 3.4 installer................................................................................................................12 Obtaining the activation code.............................................................................................................................12 Installing S32DS 3.4......................................................................................................................14 Debian 8 post-installation settings..................................................................................................................... 20 Installing product updates and packages................................................................................... 23 Installing Synopsys tools...............................................................................................................25 Installing VP Explorer........................................................................................................................................25 Post-installation settings....................................................................................................................................
    [Show full text]
  • Optimizing for Jazelle DBX and Java Hotspot™ Technology Case Study
    Optimizing Midlets for Size and Performance Simon Robinson Innaworks www.innaworks.com TS-5109 2007 JavaOneSM Conference | Session TS-5109 | Goal of This Talk Pushing the size and performance of Java™ Platform, Micro Edition (Java ME platform) applications on today’s handsets 2007 JavaOneSM Conference | Session TS-5109 | 2 Agenda Why size and performance matters Under the bonnet of a Java ME Platform MIDlet Optimization strategy Optimization techniques Optimizing for Jazelle DBX and Java HotSpot™ technology Case study 2007 JavaOneSM Conference | Session TS-5109 | 3 Agenda Why size and performance matters Under the bonnet of a Java ME Platform MIDlet Optimization strategy Optimization techniques Optimizing for Jazelle DBX and Java HotSpot™ technology Case study 2007 JavaOneSM Conference | Session TS-5109 | 4 Why Size and Performance Matters Adoption = Potential market size × How much fun ×Marketing 2007 JavaOneSM Conference | Session TS-5109 | 5 Why Size and Performance Matters Adoption = Potential market size × How much fun ×Marketing Handset coverage matters 2007 JavaOneSM Conference | Session TS-5109 | 6 Why Size and Performance Matters Adoption = Potential market size × How much fun ×Marketing How fun is your game? Perceived quality matters 2007 JavaOneSM Conference | Session TS-5109 | 7 Constraints of Consumer Handsets JAR size Heap memory Nokia S40 v1 (3300, etc.) 64 kB 370 kB Nokia S40 v2 (6230, etc.) 128 kB 512 kB Sharp GX22 100 kB 512 kB DoJa 2.5 (m420i) 30 B 1.5 MB 15% game sales for handsets < 64 kB Java Archive (JAR) file size
    [Show full text]
  • 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
    [Show full text]
  • Paper Discusses the Advantages and Disadvantages of Each Approach As Well As Specific Experiences of Using Java in a Commercial Tape Drive Project
    Java and Real Time Storage Applications Gary Mueller 195 Garnet St Broomfield, CO 80020-2203 [email protected] Tel: +1-303-465-4279 Janet Borzuchowski Storage Technology Corporation 2270 South 88th Street M. S. 4272 Louisville CO 80028 [email protected] Tel: +1-303-673-8297 Abstract Storage systems have storage devices which run real time embedded software. Most storage devices use C and occasionally C++ to manage and control the storage device. Software for the storage device must meet the time and resource constraints of the storage device. The prevailing wisdom in the embedded world is that objects and in particular Java only work for simple problems and can not handle REAL problems, are too slow and can not handle time critical processing and are too big and can’t fit in memory constrained systems. Even though Java's roots are in the embedded application area, Java is more widely used in the desktop and enterprise environment. Use of Java in embedded real time environments where performance and size constraints rule is much less common. Java vendors offer a dizzying array of options, products and choices for real time storage applications. Four main themes emerge when using Java in a real time storage application; compiling Java, executing Java with a software Java Virtual Machine (JVM), executing Java with a hardware JVM and replacing a real time operating system (RTOS) with a JVM. The desktop and enterprise environment traditionally run Java using a software JVM that has been ported to a particular platform. The JVM runs as a task or process hosted by the platform operating system.
    [Show full text]
  • Dalvik Bytecode Acceleration Using Fetch/Decode Hardware Extension
    Journal of Information Processing Vol.23 No.2 118–130 (Mar. 2015) [DOI: 10.2197/ipsjjip.23.118] Regular Paper Dalvik Bytecode Acceleration Using Fetch/Decode Hardware Extension Surachai Thongkaew1,a) Tsuyoshi Isshiki1,b) Dongju Li1,c) Hiroaki Kunieda1,d) Received: May 6, 2014, Accepted: November 10, 2014 Abstract: The Dalvik virtual machine (Dalvik VM) is an essential piece of software that runs applications on the Android operating system. Android application programs are commonly written in the Java language and compiled to Java bytecode. The Java bytecode is converted to Dalvik bytecode (Dalvik Executable file) which is interpreted by the Dalvik VM on typical Android devices. The significant disadvantage of interpretation is a much slower speed of program execution compared to direct machine code execution on the host CPU. However, there are many tech- niques to improve the performance of Dalvik VM. A typical methodology is just-in-time compilation which converts frequently executed sequences of interpreted instruction to host machine code. Other methodologies include dedi- cated bytecode processors and architectural extension on existing processors. In this paper, we propose an alternative methodology, “Fetch & Decode Hardware Extension,” to improve the performance of Dalvik VM. The Fetch & De- code Hardware Extension is a specially designed hardware component to fetch and decode Dalvik bytecode directly, while the core computations within the virtual registers are done by the optimized Dalvik bytecode software handler. The experimental results show the speed improvements on Arithmetic instructions, loop & conditional instructions and method invocation & return instructions, can be achieved up to 2.4x, 2.7x and 1.8x, respectively.
    [Show full text]
  • Introduction À Java
    Introduction à Java Matthieu Herrb CNRS-LAAS http://homepages.laas.fr/matthieu/cours/java/ Février 2018 Plan 1 Concepts 2 Éléments du langage 3 Classes et objets 4 Packages 2/31 Histoire et motivations Langage développé par James Gosling chez Sun Microsystems (Oracle) à partir de 1990 Pour des environnements embarqués : appareils spécifiques ("Appliances") applications Web Contraintes : indépendant du matériel sécurité 3/31 La machine virtuelle Java Le langage Java utilise une machine virtuelle : le compilateur produit un bytecode ce code est indépendant de l’architecture matérielle sur laquelle il est exécuté la machine virtuelle interprète ce bytecode et le transforme en code machine natif à la volée (Just in time compilation) 4/31 Machines virtuelles Java HotSpot (Oracle JRE/JDK) OpenJDK, IcedTea Implémentations sous licence libre ART Android Runtime (Google) (Dalvik) Jazelle extension du jeu d’instruction de certains processeurs ARMv5 pour exécution directe de byte-code java. ThumbEE généralisation de Jazelle sur processeurs ARMv7. Pas spécifique de Java (supporte aussi C#, Perl, Python) 5/31 Cycle de développement Editeur de texte Compilation Exécution Hello, World Hello.java javac Hello.class java 6/31 Premier programme java /** ** Premier programme java **/ public class Hello { public static void main(String argv[]) { System.out.println("Hello, World!"); } } 7/31 Classes et objets Classe définit un type de données, et des fonctions (méthodes) qui le manipulent. Objet une instance de classe : une variable du type définit par la classe et ses méthodes. Héritage permet de créer des classes qui reprennent les données de la classe parente. Interface définition des prototypes des méthodes d’une classe sans préciser leur implémentation.
    [Show full text]
  • Traffic Congestion Problems Solving
    Using Sense Techniques to Develop a Traffic Control System for Solving Traffic Congestion Problem By Omima Kamal El Din Omer Mohamed B.Sc. Applied Physics and Mathematics Ahlia University, 1999 A Dissertation Submitted in Partial Fulfillment of the Requirements of the Degree of Master of Science In Computer Science and Information Department of Computer Engineering Faculty of Engineering and Technology University of Gezira Supervisor: Dr. Suliman Mustafa Mohamed Abbker Co- supervisor:Dr.Khalid Osman Daffallah Ahmed October 2011 Using Sense Techniques to Develop a Traffic Control System for Solving Traffic Congestion Problem By Omima Kamal El Din Omer Mohamed Examination Committee : Name Position Signature Dr. Suliman Mustafa Mohamed Abbker Supervisor …………. Dr. Mahmoud Ali Ahmed Mohamed External Examiner …………. Dr. Mohamed Abdalla Adam Almaleh Internal Examiner …………. Date of Examination: 22 / 10/2011 بسم اهلل الرحمن الرحيم قال تعالى: ِ ِ ِ َّ ِ ِ ِ ) اللّهُ ﻻَ إلَهَ إﻻَّ ُهَو الْ َح ُّي الَْقيُّومُ ﻻَ تَأْ ُخ ُذهُ سنَةٌ َوﻻَ نَ ْومٌ لهُ َما في ال َّسَماَوات َوَما في اﻷَْر ِض َمن ذَا َِّ ِ ِ ِِ ِِ ِ ِ ِ ِ ٍ ِ ِ ِ ِ ِ الذي يَ ْشَف ُع عْن َدهُ إﻻَّ بإ ْذنه يَ ْعلَ ُم َما بَ ْي َن أَيْديه ْم َوَم ا َخْلَفُه ْم َوﻻَ يُحيطُوَن ب َش ْيء ِّم ْن عْلمه إﻻَّ بَما ِ ِ ِ ِ ِ ِ َشاء َوس َع ُكْرسيُّهُ ال َّسَماَوات َواﻷَْر َض َوﻻَ يَ ُؤوُدهُ حْفظُُهَما َوُهَو الَْعل ُّي الَْعظيم( صدق اهلل العظيم سورة البقرة اﻵية )255( i Dedication To the soul of my Father, the first to teach me.
    [Show full text]
  • JOP: a Java Optimized Processor for Embedded Real-Time Systems
    Downloaded from orbit.dtu.dk on: Oct 04, 2021 JOP: A Java Optimized Processor for Embedded Real-Time Systems Schoeberl, Martin Publication date: 2005 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Schoeberl, M. (2005). JOP: A Java Optimized Processor for Embedded Real-Time Systems. Vienna University of Technology. http://www.jopdesign.com/ General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. DISSERTATION JOP: A Java Optimized Processor for Embedded Real-Time Systems ausgef¨uhrt zum Zwecke der Erlangung des akademischen Grades eines Doktors der technischen Wissenschaften unter der Leitung von AO.UNIV.PROF. DIPL.-ING. DR.TECHN. ANDREAS STEININGER und AO.UNIV.PROF. DIPL.-ING. DR.TECHN. PETER PUSCHNER Inst.-Nr. E182 Institut f¨ur Technische Informatik eingereicht an der Technischen Universit¨at Wien Fakult¨at f¨ur Informatik von DIPL.-ING. MARTIN SCHOBERL¨ Matr.-Nr.
    [Show full text]
  • Instruction Folding in a Hardware-Translation Based Java Virtual Machine
    Instruction Folding in a Hardware-Translation Based Java Virtual Machine Hitoshi Oi The University of Aizu May 4, 2006 Computing Frontiers 2006 Computing Frontiers 2006 May 4, 2006 Outline • Introduction to the Java Virtual Machine and Hardware Translation • Instruction Folding of Java Bytecodes – Implementation in Sun’s Pico Java-II – Removal of Uncommon Cases • Performance Evaluation • Summary and Future Work Hitoshi Oi 2 Computing Frontiers 2006 May 4, 2006 Introduction to the Java Virtual Machine Features of Java°c • Object-Oriented • Network • Security • Platform Independent Java Virtual Machine • Abstract instruction set architecture • Placed between Java applications and underlying platform • Stack-based architecture Hitoshi Oi 3 Computing Frontiers 2006 May 4, 2006 Implementation: Interpretation switch(*bytecode){ case ILOAD: STACK[SP + 1] = STACK[LV + *(bytecode + 1)]; SP = SP + 1; .......... } • A software written in native instructions to the platform reads a Java application and interprets its bytecodes. • Flexible and relatively inexpensive, thus widely adopted (an interpreter is just another program on the platform). • Slow : Checking a flag takes << 1 clock cycle in hardware but several cycles in software. Hitoshi Oi 4 Computing Frontiers 2006 May 4, 2006 Just-In-Time Compilation • Frequently executed methods (functions) are compiled to native instructions. • Works well for server side applications but may not be feasible for client side applications (especially those running on portable devices) because: – Time and power consumption for compilation – Expansion of program size – Client side application may not be repeatedly executed and cannot absorb above compilation overhead. Hitoshi Oi 5 Computing Frontiers 2006 May 4, 2006 Hardware Translation From Instruction • A small translation module Memory between the fetch and decode stages in the pipeline converts simple Java Fetch bytecodes into native instruction sequences.
    [Show full text]
  • Copyright © 2012, Oracle And/Or Its Affiliates. All Rights Reserved. 1
    1 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Do You Like Coffee with Your Dessert? Java and Raspberry Pi Simon Ritter Technology Evangelist Twitter: @speakjava 2 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. 3 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Program Agenda . The Raspberry Pi . ARM Processors . Java on ARM and the Raspberry Pi . Using Java on the Raspberry Pi . Demos 4 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. The Raspberry Pi 5 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Raspberry Pi History and Goals . Project started in 2006 – Goal was to devise a computer to inspire children – Inspiration from the BBC Micro project from 1981 6 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Raspberry Pi History and Goals . Officially launched on Febuary 29th 2012 – First production run was 10,000 boards – Both RS and Farnell’s servers were stalled on the day of launch – RS reported over 100,000 pre-orders in one day – Current production is about 4,000 boards per day . Originally in China, now by Sony in the UK – Current estimate is that around 1 million boards sold so far 7 Copyright © 2012, Oracle and/or its affiliates.
    [Show full text]