Design and Implementation of an Embedded Web Server Based on ARM 9
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Bootstomp: on the Security of Bootloaders in Mobile Devices
BootStomp: On the Security of Bootloaders in Mobile Devices Nilo Redini, Aravind Machiry, Dipanjan Das, Yanick Fratantonio, Antonio Bianchi, Eric Gustafson, Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna, UC Santa Barbara https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/redini This paper is included in the Proceedings of the 26th USENIX Security Symposium August 16–18, 2017 • Vancouver, BC, Canada ISBN 978-1-931971-40-9 Open access to the Proceedings of the 26th USENIX Security Symposium is sponsored by USENIX BootStomp: On the Security of Bootloaders in Mobile Devices Nilo Redini, Aravind Machiry, Dipanjan Das, Yanick Fratantonio, Antonio Bianchi, Eric Gustafson, Yan Shoshitaishvili, Christopher Kruegel, and Giovanni Vigna fnredini, machiry, dipanjan, yanick, antoniob, edg, yans, chris, [email protected] University of California, Santa Barbara Abstract by proposing simple mitigation steps that can be im- plemented by manufacturers to safeguard the bootloader Modern mobile bootloaders play an important role in and OS from all of the discovered attacks, using already- both the function and the security of the device. They deployed hardware features. help ensure the Chain of Trust (CoT), where each stage of the boot process verifies the integrity and origin of 1 Introduction the following stage before executing it. This process, in theory, should be immune even to attackers gaining With the critical importance of the integrity of today’s full control over the operating system, and should pre- mobile and embedded devices, vendors have imple- vent persistent compromise of a device’s CoT. However, mented a string of inter-dependent mechanisms aimed at not only do these bootloaders necessarily need to take removing the possibility of persistent compromise from untrusted input from an attacker in control of the OS in the device. -
Stochastic Modeling and Performance Analysis of Multimedia Socs
Stochastic Modeling and Performance Analysis of Multimedia SoCs Balaji Raman, Ayoub Nouri, Deepak Gangadharan, Marius Bozga, Ananda Basu, Mayur Maheshwari, Jérôme Milan, Axel Legay, Saddek Bensalem, Samarjit Chakraborty To cite this version: Balaji Raman, Ayoub Nouri, Deepak Gangadharan, Marius Bozga, Ananda Basu, et al.. Stochastic Modeling and Performance Analysis of Multimedia SoCs. SAMOS XIII - Embedded Computer Sys- tems: Architectures, Modeling, and Simulation, Jul 2013, Agios konstantinos, Samos Island, Greece. pp.145-154, 10.1109/SAMOS.2013.6621117. hal-00878094 HAL Id: hal-00878094 https://hal.archives-ouvertes.fr/hal-00878094 Submitted on 29 Oct 2013 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Stochastic Modeling and Performance Analysis of Multimedia SoCs Balaji Raman1, Ayoub Nouri1, Deepak Gangadharan2, Marius Bozga1, Ananda Basu1, Mayur Maheshwari1, Jerome Milan3, Axel Legay4, Saddek Bensalem1, and Samarjit Chakraborty5 1 VERIMAG, France, 2 Technical Univeristy of Denmark, 3 Ecole Polytechnique, France, 4 INRIA Rennes, France, 5 Technical University of Munich, Germany. E-mail: [email protected] Abstract—Quality of video and audio output is a design-time to estimate buffer size for an acceptable output quality. The constraint for portable multimedia devices. -
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 . -
Embedded Computer Solutions for Advanced Automation Control «
» Embedded Computer Solutions for Advanced Automation Control « » Innovative Scalable Hardware » Qualifi ed for Industrial Software » Open Industrial Communication The pulse of innovation » We enable Automation! « Open Industrial Automation Platforms Kontron, one of the leaders of embedded computing technol- ogy has established dedicated global business units to provide application-ready OEM platforms for specifi c markets, includ- ing Industrial Automation. With our global corporate headquarters located in Germany, Visualization & Control Data Storage Internet-of-Things and regional headquarters in the United States and Asia-Pa- PanelPC Industrial Server cifi c, Kontron has established a strong presence worldwide. More than 1000 highly qualifi ed engineers in R&D, technical Industrie 4.0 support, and project management work with our experienced sales teams and sales partners to devise a solution that meets M2M SYMKLOUD your individual application’s demands. When it comes to embedded computing, you can focus on your core capabilities and rely on Kontron as your global OEM part- ner for a successful long-term business relationship. In addition to COTS standards based products, Kontron also of- fers semi- and full-custom ODM services for a full product port- folio that ranges from Computer-on-Modules and SBCs, up to embedded integrated systems and application ready platforms. Open for new technologies Kontron provides an exceptional range of hardware for any kind of control solution. Open for individual application Kontron systems are available either as readily integrated control solutions, or as open platforms for customers who build their own control applications with their own look and feel. Open for real-time Kontron’s Industrial Automation platforms are open for Real- Industrial Ethernet Time operating systems like VxWorks and Linux with real time extension. -
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. -
SIMD Extensions
SIMD Extensions PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sat, 12 May 2012 17:14:46 UTC Contents Articles SIMD 1 MMX (instruction set) 6 3DNow! 8 Streaming SIMD Extensions 12 SSE2 16 SSE3 18 SSSE3 20 SSE4 22 SSE5 26 Advanced Vector Extensions 28 CVT16 instruction set 31 XOP instruction set 31 References Article Sources and Contributors 33 Image Sources, Licenses and Contributors 34 Article Licenses License 35 SIMD 1 SIMD Single instruction Multiple instruction Single data SISD MISD Multiple data SIMD MIMD Single instruction, multiple data (SIMD), is a class of parallel computers in Flynn's taxonomy. It describes computers with multiple processing elements that perform the same operation on multiple data simultaneously. Thus, such machines exploit data level parallelism. History The first use of SIMD instructions was in vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC, which could operate on a vector of data with a single instruction. Vector processing was especially popularized by Cray in the 1970s and 1980s. Vector-processing architectures are now considered separate from SIMD machines, based on the fact that vector machines processed the vectors one word at a time through pipelined processors (though still based on a single instruction), whereas modern SIMD machines process all elements of the vector simultaneously.[1] The first era of modern SIMD machines was characterized by massively parallel processing-style supercomputers such as the Thinking Machines CM-1 and CM-2. These machines had many limited-functionality processors that would work in parallel. -
Lecture 1: Course Introduction G Course Organization G Historical Overview G Computer Organization G Why the MC68000? G Why Assembly Language?
Lecture 1: Course introduction g Course organization g Historical overview g Computer organization g Why the MC68000? g Why assembly language? Microprocessor-based System Design 1 Ricardo Gutierrez-Osuna Wright State University Course organization g Grading Instructor n Exams Ricardo Gutierrez-Osuna g 1 midterm and 1 final Office: 401 Russ n Homework Tel:775-5120 g 4 problem sets (not graded) [email protected] n Quizzes http://www.cs.wright.edu/~rgutier g Biweekly Office hours: TBA n Laboratories g 5 Labs Teaching Assistant g Grading scheme Mohammed Tabrez Office: 339 Russ [email protected] Weight (%) Office hours: TBA Quizes 20 Laboratory 40 Midterm 20 Final Exam 20 Microprocessor-based System Design 2 Ricardo Gutierrez-Osuna Wright State University Course outline g Module I: Programming (8 lectures) g MC68000 architecture (2) g Assembly language (5) n Instruction and addressing modes (2) n Program control (1) n Subroutines (2) g C language (1) g Module II: Peripherals (9) g Exception processing (1) g Devices (6) n PI/T timer (2) n PI/T parallel port (2) n DUART serial port (1) g Memory and I/O interface (1) g Address decoding (2) Microprocessor-based System Design 3 Ricardo Gutierrez-Osuna Wright State University Brief history of computers GENERATION FEATURES MILESTONES YEAR NOTES Asia Minor, Abacus 3000BC Only replaced by paper and pencil Mech., Blaise Pascal, Pascaline 1642 Decimal addition (8 decimal figs) Early machines Electro- Charles Babbage Differential Engine 1823 Steam powered (3000BC-1945) mech. Herman Hollerith, -
Recent International Trade Commission Representations
Recent International Trade Commission Representations Certain Mobile Electronic Devices and Radio Frequency and Processing Components Thereof (II), Inv. No. 337-TA-1093 (ITC 2019). Quinn Emanuel was lead counsel for Qualcomm in a patent infringement action against Apple in the International Trade Commission. Qualcomm alleged that Apple engaged in the unlawful importation and sale of iPhones that infringe one or more claims of five Qualcomm patents covering key technologies that enable important features and function in the iPhones. After a seven day hearing, Administrative Law Judge McNamara issued an Initial Determination finding for Qualcomm on all issues related to claim 1 of U.S. Patent 8,063,674 related to an improved “Power on Control” circuit. ALJ McNamara recommended that the Commission issue a limited exclusion order with respect to the accused iPhone devices. Although the case settled shortly after AJ McNamara recommended the exclusion order, the order would have resulted in the exclusion of all iPhones and iPads without Qualcomm baseband processors from being imported into the United States. Certain Magnetic Tape Cartridges and Components Thereof Inv. No. 337-TA-1058 (ITC 2019): We represented Sony in a multifront battle against Fujifilm arising from Fujifilm’s anticompetitive conduct seeking to exclude Sony from the Linear Tape-Open magnetic tape market. LTO tape products are used to store large quantities of data by companies in a wide range of industries, including health care, education, finance and banking. Sony filed a complaint in the ITC seeking an exclusion order of Fujifilm’s products based on its infringement of three Sony patents covering various aspects of magnetic data storage technology. -
A3MAP: Architecture-Aware Analytic Mapping for Networks-On-Chip Wooyoung Jang and David Z
6C-2 A3MAP: Architecture-Aware Analytic Mapping for Networks-on-Chip Wooyoung Jang and David Z. Pan Department of Electrical and Computer Engineering University of Texas at Austin [email protected], [email protected] Abstract - In this paper, we propose a novel and global A3MAP formulation, we seek to embed a task graph into the metric (Architecture-Aware Analytic Mapping) algorithm applied to space of network. Then, the quality of task mapping is NoC (Networks-on-Chip) based MPSoC (Multi-Processor measured by the total distortion of metric embedding. System-on-Chip) not only with homogeneous cores on regular Through this formulation, our A3MAP can map a task mesh architecture as done by most previous mapping adaptively to any different sized tile both on a algorithms but also with heterogeneous cores on irregular mesh or custom architecture. As a main contribution, we develop a regular/irregular mesh and on a custom network. Fig. 1 simple yet efficient interconnection matrix that models any task shows the methodology of our A3MAP. Given a task graph graph and network. Then, task mapping problem is exactly and a network as inputs, an interconnection matrix that can formulated to an MIQP (Mixed Integer Quadratic model any task graph and network along interconnection is Programming). Since MIQP is NP-hard [15], we propose two generated. Then, task mapping problem is exactly effective heuristics, a successive relaxation algorithm and a formulated to an MIQP (Mixed Integer Quadratic genetic algorithm. Experimental results show that A3MAP by Programming) and is solved by two effective heuristics since the successive relaxation algorithm reduces an amount of the MIQP is NP-hard [15]. -
Generic Pipelined Processor Modeling and High Performance
Generic Pipelined Processor Modeling and High Performance Cycle-Accurate Simulator Generation Mehrdad Reshadi, Nikil Dutt Center for Embedded Computer Systems (CECS), Donald Bren School of Information and Computer Science, University of California Irvine, CA 92697, USA. {reshadi, dutt}@cecs.uci.edu simulators were more limited or slower than their manually generated Abstract counterparts. Detailed modeling of processors and high performance cycle- Colored Petri Net (CPN) [1] is a very powerful and flexible accurate simulators are essential for today’s hardware and software modeling technique and has been successfully used for describing design. These problems are challenging enough by themselves and parallelism, resource sharing and synchronization. It can naturally have seen many previous research efforts. Addressing both capture most of the behavioral elements of instruction flow in a simultaneously is even more challenging, with many existing processor. However, CPN models of realistic processors are very approaches focusing on one over another. In this paper, we propose complex mostly due to incompatibility of a token-based mechanism for the Reduced Colored Petri Net (RCPN) model that has two capturing data hazards. Such complexity reduces the productivity and advantages: first, it offers a very simple and intuitive way of modeling results in very slow simulators. In this paper, we present Reduced pipelined processors; second, it can generate high performance cycle- Colored Petri Net (RCPN), a generic modeling approach for accurate simulators. RCPN benefits from all the useful features of generating fast cycle-accurate simulators for pipelined processors. Colored Petri Nets without suffering from their exponential growth in RCPN is based on CPN and reduces the modeling complexity by complexity. -
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. -
A Modular Soft Processor Core in VHDL
A Modular Soft Processor Core in VHDL Jack Whitham 2002-2003 This is a Third Year project submitted for the degree of MEng in the Department of Computer Science at the University of York. The project will attempt to demonstrate that a modular soft processor core can be designed and implemented on an FPGA, and that the core can be optimised to run a particular embedded application using a minimal amount of FPGA space. The word count of this project (as counted by the Unix wc command after detex was run on the LaTeX source) is 33647 words. This includes all text in the main report and Appendices A, B and C. Excluding source code, the project is 70 pages in length. i Contents I. Introduction 1 1. Background and Literature 1 1.1. Soft Processor Cores . 1 1.2. A Field Programmable Gate Array . 1 1.3. VHSIC Hardware Definition Language (VHDL) . 2 1.4. The Motorola 68020 . 2 II. High-level Project Decisions 3 2. Should the design be based on an existing one? 3 3. Which processor should the soft core be based upon? 3 4. Which processor should be chosen? 3 5. Restating the aims of the project in terms of the chosen processor 4 III. Modular Processor Design Decisions 4 6. Processor Design 4 6.1. Alternatives to a complete processor implementation . 4 6.2. A real processor . 5 6.3. Instruction Decoder and Control Logic . 5 6.4. Arithmetic and Logic Unit (ALU) . 7 6.5. Register File . 7 6.6. Links between Components .