GCC Plugins and MELT Extensions
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Comparison of Contemporary Real Time Operating Systems
ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319 5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 11, November 2015 Comparison of Contemporary Real Time Operating Systems Mr. Sagar Jape1, Mr. Mihir Kulkarni2, Prof.Dipti Pawade3 Student, Bachelors of Engineering, Department of Information Technology, K J Somaiya College of Engineering, Mumbai1,2 Assistant Professor, Department of Information Technology, K J Somaiya College of Engineering, Mumbai3 Abstract: With the advancement in embedded area, importance of real time operating system (RTOS) has been increased to greater extent. Now days for every embedded application low latency, efficient memory utilization and effective scheduling techniques are the basic requirements. Thus in this paper we have attempted to compare some of the real time operating systems. The systems (viz. VxWorks, QNX, Ecos, RTLinux, Windows CE and FreeRTOS) have been selected according to the highest user base criterion. We enlist the peculiar features of the systems with respect to the parameters like scheduling policies, licensing, memory management techniques, etc. and further, compare the selected systems over these parameters. Our effort to formulate the often confused, complex and contradictory pieces of information on contemporary RTOSs into simple, analytical organized structure will provide decisive insights to the reader on the selection process of an RTOS as per his requirements. Keywords:RTOS, VxWorks, QNX, eCOS, RTLinux,Windows CE, FreeRTOS I. INTRODUCTION An operating system (OS) is a set of software that handles designed known as Real Time Operating System (RTOS). computer hardware. Basically it acts as an interface The motive behind RTOS development is to process data between user program and computer hardware. -
SNC: a Cloud Service Platform for Symbolic-Numeric Computation Using Just-In-Time Compilation
This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCC.2017.2656088, IEEE Transactions on Cloud Computing IEEE TRANSACTIONS ON CLOUD COMPUTING 1 SNC: A Cloud Service Platform for Symbolic-Numeric Computation using Just-In-Time Compilation Peng Zhang1, Member, IEEE, Yueming Liu1, and Meikang Qiu, Senior Member, IEEE and SQL. Other types of Cloud services include: Software as a Abstract— Cloud services have been widely employed in IT Service (SaaS) in which the software is licensed and hosted in industry and scientific research. By using Cloud services users can Clouds; and Database as a Service (DBaaS) in which managed move computing tasks and data away from local computers to database services are hosted in Clouds. While enjoying these remote datacenters. By accessing Internet-based services over lightweight and mobile devices, users deploy diversified Cloud great services, we must face the challenges raised up by these applications on powerful machines. The key drivers towards this unexploited opportunities within a Cloud environment. paradigm for the scientific computing field include the substantial Complex scientific computing applications are being widely computing capacity, on-demand provisioning and cross-platform interoperability. To fully harness the Cloud services for scientific studied within the emerging Cloud-based services environment computing, however, we need to design an application-specific [4-12]. Traditionally, the focus is given to the parallel scientific platform to help the users efficiently migrate their applications. In HPC (high performance computing) applications [6, 12, 13], this, we propose a Cloud service platform for symbolic-numeric where substantial effort has been given to the integration of computation– SNC. -
Software De Sistemas Introduccion
SOFTWARE DE SISTEMAS INTRODUCCION • EL CONCEPTO DE SOFTWARE VA MAS ALLA DE LOS PROGRAMAS DE COMPUTACION EN SUS DISTINTOS ESTADOS QUE ABARCA TODO LO INTANGIBLE RELACIONADO Algodesl.wordpress.com t i ¿QUE ES? p o s d e s o f t w a r e . c o m • Parte esencial para clasificar sistemas operativos • Conocido como software base • Conjunto de programas de software que permite interactuar con el hardware y operarlo junto con configuraciones y funciones de entrada y salida ¿Que hace? • Permite utilizar sistema operativo e informático, incluyendo herramientas de diagnostico • Su propósito es aislar un programa o hardware de aplicaciones tanto como sea posible proyectoova.webcindario.com Ejemplos de programas de software de sistema a d • Potenciales ejemplos: r ia n ▪ cargadores a l is s e ▪ Enlazadores t .b lo ▪ Utilidad de software g s p o ▪ Interfaz grafica t ▪ Celdas ▪ Bios ▪ Hipervisores ▪ Gestores de arranque losejemplos.com *si el software del sistema se almacena en memoria volátil se denomina firware Tipos • Como tal no existen varios tipos de software de sistema pero se pueden dividir en 3; O k • Sistema operativo h o s • t Controladores i n g • . Programas de utilería c o m Tipos; SISTEMA OPERATIVO • Parte que se encarga de administración de hardware como los componentes de computadora y encargado de que todos se unan para funcionar en 1 solo objetivo m i n d 4 2 . c o m SISTEMAS OPERATIVOS • MICROSOFT WINDOWS ▪ Núcleo: monolítico (versiones basadas en MSDOS) e hibrido (versiones basadas en Windows NT) ▪ Plataformas: ARM, arquitectura Intel, MIPS, Alpha, Power PC SISTEMAS OPERATIVOS • MAC OS ▪ Núcleo: XNU basado en mach y BSD, es tipo hibrido ▪ Plataformas; power PC SISTEMAS OPERATIVOS • LINUX: ▪ Núcleo: núcleo Linux ▪ Plataformas; DEC Alpha, ARM, POWER PC, superH, SPARC, ETRAX CRIS, MIPS, MN103… etc. -
Improving Performance of Virtual Machines by Virtio Bridge Bypass
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 6 Issue 4 April 2017, Page No. 20931-20937 Index Copernicus value (2015): 58.10 DOI: 10.18535/ijecs/v6i4.24 Improving performance of Virtual Machines by Virtio bridge Bypass for PCI devices 1Shirley Kotian, 2Kirti Menon, 3Kirti Menon, 4Utsav Mundada, 5Neeraj Vilas Auti 1234PICT, 5PICT [CS] ABSTRACT Inspired by the Virtio module of virtualization, we propose an alternate method to directly communicate with PCI devices such as NIC without the use of any kernel modules. This method uses a specialized module written by us which will avoid the mechanism of bridges like the ones used in Virtio that increase latency. This module will be present in the userspace of the guest OS and we are specifically targeting the e1000 device for this purpose and later plan to make it generic for all PCI devices. Our motivation is to avoid unnecessary communication with the kernel which slows down the system. For the first step. we do resource mapping to map the PCI device memory into userspace. Then, we expose PCI configuration space through a userspace module using ACPI cables. Thus, we create a userspace PCI driver which will decrease the latency in access time and increase speed of execution. The applications in the Guest OS that request communication with the PCI devices will be redirected to our application. This will take some load off the kernel and reduce its overhead. Finally, we boot a VM that actually talks to our PCI device emulator. GENERAL TERMS Virtio, UPCI, e1000, QEMU, virt-manager, UIO. -
Virtualization for Embedded Software
JETS VIRTUALIZATION FOR EMBEDDED SOFTWARE Seasoned aerospace organizations have already weathered the VIRTUALIZATION WITH JETS: change from bespoke systems and proprietary languages to COTS A KEY ENABLER OF DEVOPS TRANSFORMATION and open-source, as well as paradigm shifts from high-overhead FOR AEROSPACE AND DEFENSE waterfall and spiral development models to lightweight and agile methodologies and are considering moving to scalable agile Like all companies in the technology industry, aerospace and defense methods. As with previous seismic shifts in the industry, most suppliers are facing increased pressure to reduce cost and increase defense and aerospace firms will have to follow, especially as best-of- productivity, while meeting their market’s demand for higher breed tools, talent and processes are all refactored to take advantage overall quality and rapid adoption of new platforms, development of DevOps’ unique productivity and quality improvements. DevOps paradigms and user experiences. is a collective term for a range of modern development practices that combines loosely-coupled architectures and process automation In recent years, the rapid pace of innovation for consumer tech, with changes to the structure of development, IT and product teams. together with a new generation of ‘digital native’ users that demand Adoption of DevOps (See Figure 1). more capability than previous generations, has left many in the industry playing constant catch-up. Adoption of DevOps includes a shift from long, structured release cycles to continuous delivery, and relies on heavy use of automation to improve productivity and quality. This can be complicated by The commercial software world is shifting again, several factors common to the defense and aerospace industry. -
A Reader Framework for Guile for Guile-Reader 0.6.2
A Reader Framework for Guile for Guile-Reader 0.6.2 Ludovic Court`es Edition 0.6.2 8 March 2017 This file documents Guile-Reader. Copyright c 2005, 2006, 2007, 2008, 2009, 2012, 2015, 2017 Ludovic Court`es 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 con- ditions 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 another lan- guage, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Free Software Foundation. i Table of Contents A Reader Framework for Guile ................ 1 1 Introduction............................... 3 2 Overview .................................. 5 3 Quick Start................................ 7 4 API Reference............................. 9 4.1 Token Readers .............................................. 9 4.1.1 Defining a New Token Reader............................ 9 4.1.2 Token Reader Calling Convention ........................ 9 4.1.3 Invoking a Reader from a Token Reader ................. 10 4.1.4 Token Reader Library .................................. 11 4.1.5 Limitations............................................ 16 4.1.5.1 Token Delimiters ................................. -
PDF File, Or As a Single HTML Page
MyJIT: Documentation version 0.9.0.x Petr Krajča, 2015 Dept. Computer Science Palacký University Olomouc Contents 1 About MyJIT 1 2 Instruction Set 2 2.1 Registers ............................................ 2 2.2 Notation ............................................ 3 2.3 Instructions .......................................... 3 2.3.1 Transfer Operations ................................. 3 2.3.2 Binary Arithmetic Operations ............................ 3 2.3.3 Unary Arithmetic Operations ............................ 5 2.3.4 Load Operations .................................... 5 2.3.5 Store Operations ................................... 6 2.3.6 Compare Instructions ................................ 6 2.3.7 Conversions ...................................... 7 2.3.8 Function declaration ................................. 7 2.3.9 Function calls ..................................... 8 2.3.10 Jumps .......................................... 9 2.3.11 Branch Operations .................................. 9 2.3.12 Misc ........................................... 11 3 Getting Started 13 4 Debugging 15 4.1 Debugging messages ..................................... 15 4.2 Warnings ............................................ 15 4.3 Code listing ........................................... 16 4.3.1 Example of the IL listing (JIT_DEBUG_OPS) ..................... 16 4.3.2 Example of the machine code listing (JIT_DEBUG_CODE) ............. 17 4.3.3 Example of the combined listing (JIT_DEBUG_COMBINED) ............. 17 5 Optimizations 18 6 Download 19 6.1 Getting -
Latexsample-Thesis
INTEGRAL ESTIMATION IN QUANTUM PHYSICS by Jane Doe A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Mathematics The University of Utah May 2016 Copyright c Jane Doe 2016 All Rights Reserved The University of Utah Graduate School STATEMENT OF DISSERTATION APPROVAL The dissertation of Jane Doe has been approved by the following supervisory committee members: Cornelius L´anczos , Chair(s) 17 Feb 2016 Date Approved Hans Bethe , Member 17 Feb 2016 Date Approved Niels Bohr , Member 17 Feb 2016 Date Approved Max Born , Member 17 Feb 2016 Date Approved Paul A. M. Dirac , Member 17 Feb 2016 Date Approved by Petrus Marcus Aurelius Featherstone-Hough , Chair/Dean of the Department/College/School of Mathematics and by Alice B. Toklas , Dean of The Graduate School. ABSTRACT Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. -
Essential Abstractions in GCC
Essential Abstractions in GCC Uday Khedker (www.cse.iitb.ac.in/˜uday) GCC Resource Center, Department of Computer Science and Engineering, Indian Institute of Technology, Bombay 13 June 2014 EAGCC-PLDI-14 EAGCC: Outline 1/1 Outline • Compilation Models • GCC: The Great Compiler Challenge • Meeting the GCC Challenge: CS 715 The course plan Uday Khedker GRC, IIT Bombay Part 1 Compilation Models EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Uday Khedker GRC, IIT Bombay EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Front End Input Source Program AST Uday Khedker GRC, IIT Bombay EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Front End Input Source Program AST Optimizer Target Indep. IR Uday Khedker GRC, IIT Bombay EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Front End Input Source Program AST Optimizer Target Indep. IR Code Generator Target Program Uday Khedker GRC, IIT Bombay EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Front End Input Source Program Front End AST AST Optimizer Target Indep. IR Code Generator Target Program Uday Khedker GRC, IIT Bombay EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Front End Input Source Program Front End AST AST Expander Optimizer Register Transfers Target Indep. IR Code Generator Target Program Uday Khedker GRC, IIT Bombay EAGCC-PLDI-14 EAGCC: Compilation Models 2/1 Compilation Models Aho Ullman Davidson Fraser Model Model Front End Input Source Program Front End AST AST Expander Optimizer Register Transfers Target Indep. -
Design and Implementation of a Hypervisor-Based Platform for Dynamic Information Flow Tracking in a Distributed Environment by A
Design and Implementation of a Hypervisor-Based Platform for Dynamic Information Flow Tracking in a Distributed Environment by Andrey Ermolinskiy A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, BERKELEY Committee in charge: Professor Scott Shenker, Chair Professor Ion Stoica Professor Deirdre Mulligan Spring 2011 Design and Implementation of a Hypervisor-Based Platform for Dynamic Information Flow Tracking in a Distributed Environment Copyright c 2011 by Andrey Ermolinskiy Abstract Design and Implementation of a Hypervisor-Based Platform for Dynamic Information Flow Tracking in a Distributed Environment by Andrey Ermolinskiy Doctor of Philosophy in Computer Science University of California, Berkeley Professor Scott Shenker, Chair One of the central security concerns in managing an organization is protecting the flow of sensitive information, by which we mean either maintaining an audit trail or ensuring that sensitive documents are disseminated only to the authorized parties. A promising approach to securing sensitive data involves designing mechanisms that interpose at the software-hardware boundary and track the flow of information with high precision — at the level of bytes and machine instructions. Fine-grained information flow tracking (IFT) is conceptually simple: memory and registers containing sensitive data are tagged with taint labels and these labels are propagated in accordance with the computation. However, previous efforts have demonstrated that full-system IFT faces two major practi- cal limitations — enormous performance overhead and taint explosion. These challenges render existing IFT implementations impractical for deployment outside of a laboratory setting. This dissertation describes our progress in addressing these challenges. -
Integral Estimation in Quantum Physics
INTEGRAL ESTIMATION IN QUANTUM PHYSICS by Jane Doe A dissertation submitted to the faculty of The University of Utah in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Mathematical Physics Department of Mathematics The University of Utah May 2016 Copyright c Jane Doe 2016 All Rights Reserved The University of Utah Graduate School STATEMENT OF DISSERTATION APPROVAL The dissertation of Jane Doe has been approved by the following supervisory committee members: Cornelius L´anczos , Chair(s) 17 Feb 2016 Date Approved Hans Bethe , Member 17 Feb 2016 Date Approved Niels Bohr , Member 17 Feb 2016 Date Approved Max Born , Member 17 Feb 2016 Date Approved Paul A. M. Dirac , Member 17 Feb 2016 Date Approved by Petrus Marcus Aurelius Featherstone-Hough , Chair/Dean of the Department/College/School of Mathematics and by Alice B. Toklas , Dean of The Graduate School. ABSTRACT Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. Blah blah blah blah blah blah blah blah blah blah blah blah blah blah blah. -
Challenges in Firmware Re-Hosting, Emulation, and Analysis
Challenges in Firmware Re-Hosting, Emulation, and Analysis CHRISTOPHER WRIGHT, Purdue University WILLIAM A. MOEGLEIN, Sandia National Laboratories SAURABH BAGCHI, Purdue University MILIND KULKARNI, Purdue University ABRAHAM A. CLEMENTS, Sandia National Laboratories System emulation and firmware re-hosting have become popular techniques to answer various security and performance related questions, such as, does a firmware contain security vulnerabilities or meet timing requirements when run on a specific hardware platform. While this motivation for emulation and binary analysis has previously been explored and reported, starting to either work or research in the field is difficult. To this end, we provide a comprehensive guide for the practitioner or system emulation researcher. We layout common challenges faced during firmware re-hosting, explaining successive steps and surveying common tools used to overcome these challenges. We provide classification techniques on five different axes, including emulator methods, system type, fidelity, emulator purpose, and control. These classifications and comparison criteria enable the practitioner to determine the appropriate tool for emulation. We use our classifications to categorize popular works in the field and present 28 common challenges faced when creating, emulating and analyzing a system, from obtaining firmwares to post emulation analysis. CCS Concepts: • Computer systems organization → Embedded and cyber-physical systems; Firmware; Embedded hardware; Embedded software; Real-time systems; • Hardware → Simulation and emulation. Additional Key Words and Phrases: Firmware re-hosting, system emulation, embedded systems, emulation fidelity, emulator classification, binary analysis, reverse engineering, emulation challenges ACM Reference Format: Christopher Wright, William A. Moeglein, Saurabh Bagchi, Milind Kulkarni, and Abraham A. Clements. 2020. Challenges in Firmware Re-Hosting, Emulation, and Analysis.