CPE 323 Introduction to Embedded Computer Systems: Introduction
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Microprocessor Architecture
EECE416 Microcomputer Fundamentals Microprocessor Architecture Dr. Charles Kim Howard University 1 Computer Architecture Computer System CPU (with PC, Register, SR) + Memory 2 Computer Architecture •ALU (Arithmetic Logic Unit) •Binary Full Adder 3 Microprocessor Bus 4 Architecture by CPU+MEM organization Princeton (or von Neumann) Architecture MEM contains both Instruction and Data Harvard Architecture Data MEM and Instruction MEM Higher Performance Better for DSP Higher MEM Bandwidth 5 Princeton Architecture 1.Step (A): The address for the instruction to be next executed is applied (Step (B): The controller "decodes" the instruction 3.Step (C): Following completion of the instruction, the controller provides the address, to the memory unit, at which the data result generated by the operation will be stored. 6 Harvard Architecture 7 Internal Memory (“register”) External memory access is Very slow For quicker retrieval and storage Internal registers 8 Architecture by Instructions and their Executions CISC (Complex Instruction Set Computer) Variety of instructions for complex tasks Instructions of varying length RISC (Reduced Instruction Set Computer) Fewer and simpler instructions High performance microprocessors Pipelined instruction execution (several instructions are executed in parallel) 9 CISC Architecture of prior to mid-1980’s IBM390, Motorola 680x0, Intel80x86 Basic Fetch-Execute sequence to support a large number of complex instructions Complex decoding procedures Complex control unit One instruction achieves a complex task 10 -
What Do We Mean by Architecture?
Embedded programming: Comparing the performance and development workflows for architectures Embedded programming week FABLAB BRIGHTON 2018 What do we mean by architecture? The architecture of microprocessors and microcontrollers are classified based on the way memory is allocated (memory architecture). There are two main ways of doing this: Von Neumann architecture (also known as Princeton) Von Neumann uses a single unified cache (i.e. the same memory) for both the code (instructions) and the data itself, Under pure von Neumann architecture the CPU can be either reading an instruction or reading/writing data from/to the memory. Both cannot occur at the same time since the instructions and data use the same bus system. Harvard architecture Harvard architecture uses different memory allocations for the code (instructions) and the data, allowing it to be able to read instructions and perform data memory access simultaneously. The best performance is achieved when both instructions and data are supplied by their own caches, with no need to access external memory at all. How does this relate to microcontrollers/microprocessors? We found this page to be a good introduction to the topic of microcontrollers and microprocessors, the architectures they use and the difference between some of the common types. First though, it’s worth looking at the difference between a microprocessor and a microcontroller. Microprocessors (e.g. ARM) generally consist of just the Central Processing Unit (CPU), which performs all the instructions in a computer program, including arithmetic, logic, control and input/output operations. Microcontrollers (e.g. AVR, PIC or 8051) contain one or more CPUs with RAM, ROM and programmable input/output peripherals. -
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. -
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 -
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. -
System-On-Chip Design with Virtual Components
past designs can a huge chip be com- pleted within a reasonable time. This FEATURE solution usually entails reusing designs from previous generations of products ARTICLE and often leverages design work done by other groups in the same company. Various forms of intercompany cross licensing and technology sharing Thomas Anderson can provide access to design technol- ogy that may be reused in new ways. Many large companies have estab- lished central organizations to pro- mote design reuse and sharing, and to System-on-Chip Design look for external IP sources. One challenge faced by IP acquisi- tion teams is that many designs aren’t well suited for reuse. Designing with with Virtual Components reuse in mind requires extra time and effort, and often more logic as well— requirements likely to be at odds with the time-to-market goals of a product design team. Therefore, a merchant semiconduc- tor IP industry has arisen to provide designs that were developed specifically for reuse in a wide range of applications. These designs are backed by documen- esign reuse for tation and support similar to that d semiconductor provided by a semiconductor supplier. Here in the Recycling projects has evolved The terms “virtual component” from an interesting con- and “core” commonly denote reusable Age, designing for cept to a requirement. Today’s huge semiconductor IP that is offered for system-on-a-chip (SOC) designs rou- license as a product. The latter term is reuse may sound like tinely require millions of transistors. promoted extensively by the Virtual Silicon geometry continues to shrink Socket Interface (VSI) Alliance, a joint a great idea. -
Lecture Notes
Lecture #4-5: Computer Hardware (Overview and CPUs) CS106E Spring 2018, Young In these lectures, we begin our three-lecture exploration of Computer Hardware. We start by looking at the different types of computer components and how they interact during basic computer operations. Next, we focus specifically on the CPU (Central Processing Unit). We take a look at the Machine Language of the CPU and discover it’s really quite primitive. We explore how Compilers and Interpreters allow us to go from the High-Level Languages we are used to programming to the Low-Level machine language actually used by the CPU. Most modern CPUs are multicore. We take a look at when multicore provides big advantages and when it doesn’t. We also take a short look at Graphics Processing Units (GPUs) and what they might be used for. We end by taking a look at Reduced Instruction Set Computing (RISC) and Complex Instruction Set Computing (CISC). Stanford President John Hennessy won the Turing Award (Computer Science’s equivalent of the Nobel Prize) for his work on RISC computing. Hardware and Software: Hardware refers to the physical components of a computer. Software refers to the programs or instructions that run on the physical computer. - We can entirely change the software on a computer, without changing the hardware and it will transform how the computer works. I can take an Apple MacBook for example, remove the Apple Software and install Microsoft Windows, and I now have a Window’s computer. - In the next two lectures we will focus entirely on Hardware. -
What We Know About Testing Embedded Software
What we know about testing embedded software Vahid Garousi, Hacettepe University and University of Luxembourg Michael Felderer, University of Innsbruck Çağrı Murat Karapıçak, KUASOFT A.Ş. Uğur Yılmaz, ASELSAN A.Ş. Abstract. Embedded systems have overwhelming penetration around the world. Innovations are increasingly triggered by software embedded in automotive, transportation, medical-equipment, communication, energy, and many other types of systems. To test embedded software in a cost effective manner, a large number of test techniques, approaches, tools and frameworks have been proposed by both practitioners and researchers in the last several decades. However, reviewing and getting an overview of the entire state-of-the- art and the –practice in this area is challenging for a practitioner or a (new) researcher. Also unfortunately, we often see that some companies reinvent the wheel (by designing a test approach new to them, but existing in the domain) due to not having an adequate overview of what already exists in this area. To address the above need, we conducted a systematic literature review (SLR) in the form of a systematic mapping (classification) in this area. After compiling an initial pool of 560 papers, a systematic voting was conducted among the authors, and our final pool included 272 technical papers. The review covers the types of testing topics studied, types of testing activity, types of test artifacts generated (e.g., test inputs or test code), and the types of industries in which studies have focused on, e.g., automotive and home appliances. Our article aims to benefit the readers (both practitioners and researchers) by serving as an “index” to the vast body of knowledge in this important and fast-growing area. -
Assignment Solutions
Week 1: Assignment Solutions 1. Which of the following statements are true? a. The ENIAC computer was built using mechanical relays. b. Harvard Mark1 computer was built using mechanical relays. c. PASCALINE computer could multiply and divide numbers by repeated addition and subtraction. d. Charles Babbage built his automatic computing engine in 19th century. Solution: ((b) and (c)) ENIAC was built using vacuum tubes. Charles Babbage designed his automatic computing engine but could not built it. 2. Which of the following statements are true for Moore’s law? a. Moore’s law predicts that power dissipation will double every 18 months. b. Moore’s law predicts that the number of transistors per chip will double every 18 months. c. Moore’s law predicts that the speed of VLSI circuits will double every 18 months. d. None of the above. Solution: (b) Moore’s law only predicts that number of transistors per chip will double every 18 months. 3. Which of the following generates the necessary signals required to execute an instruction in a computer? a. Arithmetic and Logic Unit b. Memory Unit c. Control Unit d. Input/Output Unit Solution: (c) Control unit acts as the nerve center of a computer and generates the necessary control signals required to execute an instruction. 4. An instruction ADD R1, A is stored at memory location 4004H. R1 is a processor register and A is a memory location with address 400CH. Each instruction is 32-bit long. What will be the values of PC, IR and MAR during execution of the instruction? a. -
Embedded Sensors System Applied to Wearable Motion Analysis in Sports
Embedded Sensors System Applied to Wearable Motion Analysis in Sports Aurélien Valade1, Antony Costes2, Anthony Bouillod1,3, Morgane Mangin4, P. Acco1, Georges Soto-Romero1,4, Jean-Yves Fourniols1 and Frederic Grappe3 1LAAS-CNRS, N2IS, 7, Av. du Colonel Roche 31077, Toulouse, France 2University of Toulouse, UPS, PRiSSMH, Toulouse, France 3EA4660, C3S - Université de Franche Comté, 25000 Besançon, France 4 ISIFC – Génie Biomédical - Université de Franche Comté, 23 Rue Alain Savary, 25000 Besançon, France Keywords: IMU, FPGA, Motion Analysis, Sports, Wearable. Abstract: This paper presents two different wearable motion capture systems for motion analysis in sports, based on inertial measurement units (IMU). One system, called centralized processing, is based on FPGA + microcontroller architecture while the other, called distributed processing, is based on multiple microcontrollers + wireless communication architecture. These architectures are designed to target multi- sports capabilities, beginning with tri-athlete equipment and thus have to be non-invasive and integrated in sportswear, be waterproofed and autonomous in energy. To characterize them, the systems are compared to lab quality references. 1 INTRODUCTION electronics (smartphones, game controllers...), in an autonomous embedded system to monitor the Electronics in sports monitoring has been a growing sportive activity, even in field conditions. field of studies for the last decade. From the heart rate Our IMU based monitoring system allows monitors to the power meters, sportsmen -
Introduction to Cpu
microprocessors and microcontrollers - sadri 1 INTRODUCTION TO CPU Mohammad Sadegh Sadri Session 2 Microprocessor Course Isfahan University of Technology Sep., Oct., 2010 microprocessors and microcontrollers - sadri 2 Agenda • Review of the first session • A tour of silicon world! • Basic definition of CPU • Von Neumann Architecture • Example: Basic ARM7 Architecture • A brief detailed explanation of ARM7 Architecture • Hardvard Architecture • Example: TMS320C25 DSP microprocessors and microcontrollers - sadri 3 Agenda (2) • History of CPUs • 4004 • TMS1000 • 8080 • Z80 • Am2901 • 8051 • PIC16 microprocessors and microcontrollers - sadri 4 Von Neumann Architecture • Same Memory • Program • Data • Single Bus microprocessors and microcontrollers - sadri 5 Sample : ARM7T CPU microprocessors and microcontrollers - sadri 6 Harvard Architecture • Separate memories for program and data microprocessors and microcontrollers - sadri 7 TMS320C25 DSP microprocessors and microcontrollers - sadri 8 Silicon Market Revenue Rank Rank Country of 2009/2008 Company (million Market share 2009 2008 origin changes $ USD) Intel 11 USA 32 410 -4.0% 14.1% Corporation Samsung 22 South Korea 17 496 +3.5% 7.6% Electronics Toshiba 33Semiconduc Japan 10 319 -6.9% 4.5% tors Texas 44 USA 9 617 -12.6% 4.2% Instruments STMicroelec 55 FranceItaly 8 510 -17.6% 3.7% tronics 68Qualcomm USA 6 409 -1.1% 2.8% 79Hynix South Korea 6 246 +3.7% 2.7% 812AMD USA 5 207 -4.6% 2.3% Renesas 96 Japan 5 153 -26.6% 2.2% Technology 10 7 Sony Japan 4 468 -35.7% 1.9% microprocessors and microcontrollers -
Embedded Systems Supporting by Different Operating Systems
A Survey: Embedded Systems Supporting By Different Operating Systems Qamar Jabeen, Fazlullah Khan, Muhammad Tahir, Shahzad Khan, Syed Roohullah Jan Department of Computer Science, Abdul Wali Khan University Mardan [email protected], [email protected] -------------------------------------------------------------------------------------------------------------------------------------- Abstract: In these days embedded systems used in industrial, commercial system have an important role in different areas. e.g Mobile Phones and different Fields and applications like Network type of Network Bridges are embedded embedded system , Real-time embedded used by telecommunication systems for systems which supports the mission- giving better requirements to their users. critical domains, mostly having the time We use digital cameras, MP3 players, DVD constraints, Stand-alone systems which players are the example of embedded includes the network router etc. A great consumer electronics. In our daily life its deployment in the processors made for provided us efficiency and flexibility and completing the demanding needs of the many features which includes microwave users. There is also a large-scale oven, washing machines dishwashers. deployment occurs in sensor networks for Embedded system are also used in providing the advance facilities, for medical, transportation and also used in handled such type of embedded systems wireless sensor network area respectively a specific operating system must provide. medical imaging, vital signs, automobile This paper presents some software electric vehicles and Wi-Fi modules. infrastructures that have the ability of supporting such types of embedded systems. 1. Introduction: Embedded system are computer systems designed for specific purpose, to increase functionality and reliability for achieving a specific task, like general Figure 1: Taxonomy of Embedded Software’s purpose computer system it does not use for multiple tasks.