ARM Processor Architecture Embedded Systems with ARM Cortext-M Updated: Monday, February 5, 2018 a Little About ARM – the Company
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Fill Your Boots: Enhanced Embedded Bootloader Exploits Via Fault Injection and Binary Analysis
IACR Transactions on Cryptographic Hardware and Embedded Systems ISSN 2569-2925, Vol. 2021, No. 1, pp. 56–81. DOI:10.46586/tches.v2021.i1.56-81 Fill your Boots: Enhanced Embedded Bootloader Exploits via Fault Injection and Binary Analysis Jan Van den Herrewegen1, David Oswald1, Flavio D. Garcia1 and Qais Temeiza2 1 School of Computer Science, University of Birmingham, UK, {jxv572,d.f.oswald,f.garcia}@cs.bham.ac.uk 2 Independent Researcher, [email protected] Abstract. The bootloader of an embedded microcontroller is responsible for guarding the device’s internal (flash) memory, enforcing read/write protection mechanisms. Fault injection techniques such as voltage or clock glitching have been proven successful in bypassing such protection for specific microcontrollers, but this often requires expensive equipment and/or exhaustive search of the fault parameters. When multiple glitches are required (e.g., when countermeasures are in place) this search becomes of exponential complexity and thus infeasible. Another challenge which makes embedded bootloaders notoriously hard to analyse is their lack of debugging capabilities. This paper proposes a grey-box approach that leverages binary analysis and advanced software exploitation techniques combined with voltage glitching to develop a powerful attack methodology against embedded bootloaders. We showcase our techniques with three real-world microcontrollers as case studies: 1) we combine static and on-chip dynamic analysis to enable a Return-Oriented Programming exploit on the bootloader of the NXP LPC microcontrollers; 2) we leverage on-chip dynamic analysis on the bootloader of the popular STM8 microcontrollers to constrain the glitch parameter search, achieving the first fully-documented multi-glitch attack on a real-world target; 3) we apply symbolic execution to precisely aim voltage glitches at target instructions based on the execution path in the bootloader of the Renesas 78K0 automotive microcontroller. -
STM32-P103 User's Manual
STM-P103 development board User's manual Document revision C, August 2016 Copyright(c) 2014, OLIMEX Ltd, All rights reserved INTRODUCTION STM32-P103 board is development board which allows you to explore thee features of the ARM Cortex M3 STM32F103RBT6 microcontroller produced by ST Microelectronics Inc. The board has SD/MMC card connector and allows USB Mass storage device demo to be evaluated. The RS232 driver and connector allows USB to Virtual COM port demo to be evaluated. The CAN port and driver allows CAN applications to be developed. The UEXT connector allows access to all other UEXT modules produced by OLIMEX (like MOD-MP3, MOD-NRF24LR, MOD-NOKIA6610, etc) to be connected easily. In the prototype area the customer can solder his own custom circuits and interface them to USB, CAN, RS232 etc. STM32-P103 is almost identical in hardware design to STM32-P405. The major difference is the microcontroller used (STM32F103 vs STM32F405). Another board with STM32F103 and a display is STM32-103STK. A smaller (and cheaper board) with STM32F103 is the STM32-H103. Both boards mentioned also have a version with the newer microcontroller STM32F405 used. The names are respectively STM32-405STK and STM32-H405. BOARD FEATURES STM32-P103 board features: - CPU: STM32F103RBT6 ARM 32 bit CORTEX M3™ - JTAG connector with ARM 2×10 pin layout for programming/debugging with ARM-JTAG, ARM-USB- OCD, ARM-USB-TINY - USB connector - CAN driver and connector - RS232 driver and connector - UEXT connector which allow different modules to be connected (as MOD-MP3, -
Reconfigurable Embedded Control Systems: Problems and Solutions
RECONFIGURABLE EMBEDDED CONTROL SYSTEMS: PROBLEMS AND SOLUTIONS By Dr.rer.nat.Habil. Mohamed Khalgui ⃝c Copyright by Dr.rer.nat.Habil. Mohamed Khalgui, 2012 v Martin Luther University, Germany Research Manuscript for Habilitation Diploma in Computer Science 1. Reviewer: Prof.Dr. Hans-Michael Hanisch, Martin Luther University, Germany, 2. Reviewer: Prof.Dr. Georg Frey, Saarland University, Germany, 3. Reviewer: Prof.Dr. Wolf Zimmermann, Martin Luther University, Germany, Day of the defense: Monday January 23rd 2012, Table of Contents Table of Contents vi English Abstract x German Abstract xi English Keywords xii German Keywords xiii Acknowledgements xiv Dedicate xv 1 General Introduction 1 2 Embedded Architectures: Overview on Hardware and Operating Systems 3 2.1 Embedded Hardware Components . 3 2.1.1 Microcontrollers . 3 2.1.2 Digital Signal Processors (DSP): . 4 2.1.3 System on Chip (SoC): . 5 2.1.4 Programmable Logic Controllers (PLC): . 6 2.2 Real-Time Embedded Operating Systems (RTOS) . 8 2.2.1 QNX . 9 2.2.2 RTLinux . 9 2.2.3 VxWorks . 9 2.2.4 Windows CE . 10 2.3 Known Embedded Software Solutions . 11 2.3.1 Simple Control Loop . 12 2.3.2 Interrupt Controlled System . 12 2.3.3 Cooperative Multitasking . 12 2.3.4 Preemptive Multitasking or Multi-Threading . 12 2.3.5 Microkernels . 13 2.3.6 Monolithic Kernels . 13 2.3.7 Additional Software Components: . 13 2.4 Conclusion . 14 3 Embedded Systems: Overview on Software Components 15 3.1 Basic Concepts of Components . 15 3.2 Architecture Description Languages . 17 3.2.1 Acme Language . -
FAN53525 3.0A, 2.4Mhz, Digitally Programmable Tinybuck® Regulator
FAN53525 — 3.0 A, 2.4 MHz, June 2014 FAN53525 3.0A, 2.4MHz, Digitally Programmable TinyBuck® Regulator Digitally Programmable TinyBuck Digitally Features Description . Fixed-Frequency Operation: 2.4 MHz The FAN53525 is a step-down switching voltage regulator that delivers a digitally programmable output from an input . Best-in-Class Load Transient voltage supply of 2.5 V to 5.5 V. The output voltage is 2 . Continuous Output Current Capability: 3.0 A programmed through an I C interface capable of operating up to 3.4 MHz. 2.5 V to 5.5 V Input Voltage Range Using a proprietary architecture with synchronous . Digitally Programmable Output Voltage: rectification, the FAN53525 is capable of delivering 3.0 A - 0.600 V to 1.39375 V in 6.25 mV Steps continuous at over 80% efficiency, maintaining that efficiency at load currents as low as 10 mA. The regulator operates at Programmable Slew Rate for Voltage Transitions . a nominal fixed frequency of 2.4 MHz, which reduces the . I2C-Compatible Interface Up to 3.4 Mbps value of the external components to 330 nH for the output inductor and as low as 20 µF for the output capacitor. PFM Mode for High Efficiency in Light Load . Additional output capacitance can be added to improve . Quiescent Current in PFM Mode: 50 µA (Typical) regulation during load transients without affecting stability, allowing inductance up to 1.2 µH to be used. Input Under-Voltage Lockout (UVLO) ® At moderate and light loads, Pulse Frequency Modulation Regulator Thermal Shutdown and Overload Protection . (PFM) is used to operate in Power-Save Mode with a typical . -
The Intro to GPGPU CPU Vs
12/12/11! The Intro to GPGPU . Dr. Chokchai (Box) Leangsuksun, PhD! Louisiana Tech University. Ruston, LA! ! CPU vs. GPU • CPU – Fast caches – Branching adaptability – High performance • GPU – Multiple ALUs – Fast onboard memory – High throughput on parallel tasks • Executes program on each fragment/vertex • CPUs are great for task parallelism • GPUs are great for data parallelism Supercomputing 20082 Education Program 1! 12/12/11! CPU vs. GPU - Hardware • More transistors devoted to data processing CUDA programming guide 3.1 3 CPU vs. GPU – Computation Power CUDA programming guide 3.1! 2! 12/12/11! CPU vs. GPU – Memory Bandwidth CUDA programming guide 3.1! What is GPGPU ? • General Purpose computation using GPU in applications other than 3D graphics – GPU accelerates critical path of application • Data parallel algorithms leverage GPU attributes – Large data arrays, streaming throughput – Fine-grain SIMD parallelism – Low-latency floating point (FP) computation © David Kirk/NVIDIA and Wen-mei W. Hwu, 2007! ECE 498AL, University of Illinois, Urbana-Champaign! 3! 12/12/11! Why is GPGPU? • Large number of cores – – 100-1000 cores in a single card • Low cost – less than $100-$1500 • Green computing – Low power consumption – 135 watts/card – 135 w vs 30000 w (300 watts * 100) • 1 card can perform > 100 desktops 12/14/09!– $750 vs 50000 ($500 * 100) 7 Two major players 4! 12/12/11! Parallel Computing on a GPU • NVIDIA GPU Computing Architecture – Via a HW device interface – In laptops, desktops, workstations, servers • Tesla T10 1070 from 1-4 TFLOPS • AMD/ATI 5970 x2 3200 cores • NVIDIA Tegra is an all-in-one (system-on-a-chip) ATI 4850! processor architecture derived from the ARM family • GPU parallelism is better than Moore’s law, more doubling every year • GPGPU is a GPU that allows user to process both graphics and non-graphics applications. -
Insider's Guide STM32
The Insider’s Guide To The STM32 ARM®Based Microcontroller An Engineer’s Introduction To The STM32 Series www.hitex.com Published by Hitex (UK) Ltd. ISBN: 0-9549988 8 First Published February 2008 Hitex (UK) Ltd. Sir William Lyons Road University Of Warwick Science Park Coventry, CV4 7EZ United Kingdom Credits Author: Trevor Martin Illustrator: Sarah Latchford Editors: Michael Beach, Alison Wenlock Cover: Wolfgang Fuller Acknowledgements The author would like to thank M a t t Saunders and David Lamb of ST Microelectronics for their assistance in preparing this book. © Hitex (UK) Ltd., 21/04/2008 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical or photocopying, recording or otherwise without the prior written permission of the Publisher. Contents Contents 1. Introduction 4 1.1 So What Is Cortex?..................................................................................... 4 1.2 A Look At The STM32 ................................................................................ 5 1.2.1 Sophistication ............................................................................................. 5 1.2.2 Safety ......................................................................................................... 6 1.2.3 Security ....................................................................................................... 6 1.2.4 Software Development .............................................................................. -
An Emerging Architecture in Smart Phones
International Journal of Electronic Engineering and Computer Science Vol. 3, No. 2, 2018, pp. 29-38 http://www.aiscience.org/journal/ijeecs ARM Processor Architecture: An Emerging Architecture in Smart Phones Naseer Ahmad, Muhammad Waqas Boota * Department of Computer Science, Virtual University of Pakistan, Lahore, Pakistan Abstract ARM is a 32-bit RISC processor architecture. It is develop and licenses by British company ARM holdings. ARM holding does not manufacture and sell the CPU devices. ARM holding only licenses the processor architecture to interested parties. There are two main types of licences implementation licenses and architecture licenses. ARM processors have a unique combination of feature such as ARM core is very simple as compare to general purpose processors. ARM chip has several peripheral controller, a digital signal processor and ARM core. ARM processor consumes less power but provide the high performance. Now a day, ARM Cortex series is very popular in Smartphone devices. We will also see the important characteristics of cortex series. We discuss the ARM processor and system on a chip (SOC) which includes the Qualcomm, Snapdragon, nVidia Tegra, and Apple system on chips. In this paper, we discuss the features of ARM processor and Intel atom processor and see which processor is best. Finally, we will discuss the future of ARM processor in Smartphone devices. Keywords RISC, ISA, ARM Core, System on a Chip (SoC) Received: May 6, 2018 / Accepted: June 15, 2018 / Published online: July 26, 2018 @ 2018 The Authors. Published by American Institute of Science. This Open Access article is under the CC BY license. -
System-On-A-Chip (Soc) & ARM Architecture
System-on-a-Chip (SoC) & ARM Architecture EE2222 Computer Interfacing and Microprocessors Partially based on System-on-Chip Design by Hao Zheng 2020 EE2222 1 Overview • A system-on-a-chip (SoC): • a computing system on a single silicon substrate that integrates both hardware and software. • Hardware packages all necessary electronics for a particular application. • which implemented by SW running on HW. • Aim for low power and low cost. • Also more reliable than multi-component systems. 2020 EE2222 2 Driven by semiconductor advances 2020 EE2222 3 Basic SoC Model 2020 EE2222 4 2020 EE2222 5 SoC vs Processors System on a chip Processors on a chip processor multiple, simple, heterogeneous few, complex, homogeneous cache one level, small 2-3 levels, extensive memory embedded, on chip very large, off chip functionality special purpose general purpose interconnect wide, high bandwidth often through cache power, cost both low both high operation largely stand-alone need other chips 2020 EE2222 6 Embedded Systems • 98% processors sold annually are used in embedded applications. 2020 EE2222 7 Embedded Systems: Design Challenges • Power/energy efficient: • mobile & battery powered • Highly reliable: • Extreme environment (e.g. temperature) • Real-time operations: • predictable performance • Highly complex • A modern automobile with 55 electronic control units • Tightly coupled Software & Hardware • Rapid development at low price 2020 EE2222 8 EECS222A: SoC Description and Modeling Lecture 1 Design Complexity Challenge Design• Productivity Complexity -
The Von Neumann Computer Model 5/30/17, 10:03 PM
The von Neumann Computer Model 5/30/17, 10:03 PM CIS-77 Home http://www.c-jump.com/CIS77/CIS77syllabus.htm The von Neumann Computer Model 1. The von Neumann Computer Model 2. Components of the Von Neumann Model 3. Communication Between Memory and Processing Unit 4. CPU data-path 5. Memory Operations 6. Understanding the MAR and the MDR 7. Understanding the MAR and the MDR, Cont. 8. ALU, the Processing Unit 9. ALU and the Word Length 10. Control Unit 11. Control Unit, Cont. 12. Input/Output 13. Input/Output Ports 14. Input/Output Address Space 15. Console Input/Output in Protected Memory Mode 16. Instruction Processing 17. Instruction Components 18. Why Learn Intel x86 ISA ? 19. Design of the x86 CPU Instruction Set 20. CPU Instruction Set 21. History of IBM PC 22. Early x86 Processor Family 23. 8086 and 8088 CPU 24. 80186 CPU 25. 80286 CPU 26. 80386 CPU 27. 80386 CPU, Cont. 28. 80486 CPU 29. Pentium (Intel 80586) 30. Pentium Pro 31. Pentium II 32. Itanium processor 1. The von Neumann Computer Model Von Neumann computer systems contain three main building blocks: The following block diagram shows major relationship between CPU components: the central processing unit (CPU), memory, and input/output devices (I/O). These three components are connected together using the system bus. The most prominent items within the CPU are the registers: they can be manipulated directly by a computer program. http://www.c-jump.com/CIS77/CPU/VonNeumann/lecture.html Page 1 of 15 IPR2017-01532 FanDuel, et al. -
Sitara™ Am57x Processor with Dual ARM® Cortex®-A15 Cores
Sitara™ AM57x processor with dual ARM® Cortex®-A15 cores In today’s industrial automation market, (PLCs) and industrial computers consumers are seeing an evolution to human machine interface (HMI), that requires new technology featuring industrial peripherals and factory amplified performance and capabilities. communication, automation systems The factory automation floor is rapidly require cuttingedge technologies to advancing to become more user meet stringent customer requirements friendly with the incorporation of ele for high reliability in missioncritical ments like user interfaces that are environments. increasingly similar to those we use in our everyday lives and video compe Texas Instruments Incorporated (TI) has tencies that grant the ability to view a strategic commitment to the factory machines running on the opposite side automation industry, ranging from an of factories. This shift necessitates extensive, reliable solution portfolio to solutions very complex, expensive new processors that afford industrial a long product life supply as well as a and resistant to evolution even though system developers the capacity to suc strong localbased support. Industrial industry standards are changing. cessfully address these everevolving automation applications have been challenges. With applications ranging implemented using a variety of external Meeting the need for high from programmable logic controllers components making yesterday’s performance AM57x block diagram In industrial HMI and PLC systems, there is an increasing trend towards achieving x86level performance in fanless enclosures and smaller form factors. At the same time, communica tions requirements are ever increasing for these systems, as is the need for intuitive user interface and highperfor mance graphics in HMI systems. -
OMAP 3 Family of Multimedia Applications
OMAP™ 3 family of multimedia applications processors Revolutionizing entertainment and productivity Key features in wireless handheld commumications • Combines mobile entertainment and high-performance productivity applications. Product Bulletin • Integrates the advanced Superscalar ARM Cortex-A8 RISC core, enabling up to The OMAP™ 3 family of multimedia applications processors from Texas Instruments (TI) 3x gain in performance versus ARM11. introduces a new level of performance that enables laptop-like productivity and advanced • Designed in 45-nm (OMAP36x platform) entertainment in multimedia-enabled handsets. OMAP 3 devices support all levels of and 65-nm (OMAP34x platform) CMOS handsets, from the entry-level multimedia-enabled handsets to high-end Mobile Internet process technologies for less power Devices (MIDs). consumption and increased device performance. Entry-level Mid-level High-end • Includes integrated IVA hardware multimedia-enabled multimedia-enabled multimedia-enabled accelerators to enable multi-standard encode handsets handsets handsets decode up to HD resolution. OMAP3410 OMAP3420 OMAP3430/3440 • Available integrated image signal OMAP3610 OMAP3620 OMAP3630/3640 processor (ISP) enables faster, higher quality image capture, lower system cost TI’s OMAP 3 family of applications processors These devices can operate at a higher and lower power consumption. • Provides seamless connectivity to hard integrate the ARM Cortex-A8 superscalar frequency than previous-generation OMAP diskdrive (HDD) devices for mass storage. microprocessor -
Comparative Study of Various Systems on Chips Embedded in Mobile Devices
Innovative Systems Design and Engineering www.iiste.org ISSN 2222-1727 (Paper) ISSN 2222-2871 (Online) Vol.4, No.7, 2013 - National Conference on Emerging Trends in Electrical, Instrumentation & Communication Engineering Comparative Study of Various Systems on Chips Embedded in Mobile Devices Deepti Bansal(Assistant Professor) BVCOE, New Delhi Tel N: +919711341624 Email: [email protected] ABSTRACT Systems-on-chips (SoCs) are the latest incarnation of very large scale integration (VLSI) technology. A single integrated circuit can contain over 100 million transistors. Harnessing all this computing power requires designers to move beyond logic design into computer architecture, meet real-time deadlines, ensure low-power operation, and so on. These opportunities and challenges make SoC design an important field of research. So in the paper we will try to focus on the various aspects of SOC and the applications offered by it. Also the different parameters to be checked for functional verification like integration and complexity are described in brief. We will focus mainly on the applications of system on chip in mobile devices and then we will compare various mobile vendors in terms of different parameters like cost, memory, features, weight, and battery life, audio and video applications. A brief discussion on the upcoming technologies in SoC used in smart phones as announced by Intel, Microsoft, Texas etc. is also taken up. Keywords: System on Chip, Core Frame Architecture, Arm Processors, Smartphone. 1. Introduction: What Is SoC? We first need to define system-on-chip (SoC). A SoC is a complex integrated circuit that implements most or all of the functions of a complete electronic system.