The ARM Architecture
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Inside Intel® Core™ Microarchitecture Setting New Standards for Energy-Efficient Performance
White Paper Inside Intel® Core™ Microarchitecture Setting New Standards for Energy-Efficient Performance Ofri Wechsler Intel Fellow, Mobility Group Director, Mobility Microprocessor Architecture Intel Corporation White Paper Inside Intel®Core™ Microarchitecture Introduction Introduction 2 The Intel® Core™ microarchitecture is a new foundation for Intel®Core™ Microarchitecture Design Goals 3 Intel® architecture-based desktop, mobile, and mainstream server multi-core processors. This state-of-the-art multi-core optimized Delivering Energy-Efficient Performance 4 and power-efficient microarchitecture is designed to deliver Intel®Core™ Microarchitecture Innovations 5 increased performance and performance-per-watt—thus increasing Intel® Wide Dynamic Execution 6 overall energy efficiency. This new microarchitecture extends the energy efficient philosophy first delivered in Intel's mobile Intel® Intelligent Power Capability 8 microarchitecture found in the Intel® Pentium® M processor, and Intel® Advanced Smart Cache 8 greatly enhances it with many new and leading edge microar- Intel® Smart Memory Access 9 chitectural innovations as well as existing Intel NetBurst® microarchitecture features. What’s more, it incorporates many Intel® Advanced Digital Media Boost 10 new and significant innovations designed to optimize the Intel®Core™ Microarchitecture and Software 11 power, performance, and scalability of multi-core processors. Summary 12 The Intel Core microarchitecture shows Intel’s continued Learn More 12 innovation by delivering both greater energy efficiency Author Biographies 12 and compute capability required for the new workloads and usage models now making their way across computing. With its higher performance and low power, the new Intel Core microarchitecture will be the basis for many new solutions and form factors. In the home, these include higher performing, ultra-quiet, sleek and low-power computer designs, and new advances in more sophisticated, user-friendly entertainment systems. -
Implementation of Optimized CORDIC Designs
IJIRST –International Journal for Innovative Research in Science & Technology| Volume 1 | Issue 3 | August 2014 ISSN(online) : 2349-6010 Implementation of Optimized CORDIC Designs Bibinu Jacob Reenesh Zacharia M Tech Student Assistant Professor Department of Electronics & Communication Engineering Department of Electronics & Communication Engineering Mangalam College Of Engineering, Ettumanoor Mangalam College Of Engineering, Ettumanoor Abstract CORDIC stands for COordinate Rotation DIgital Computer, which is likewise known as Volder's algorithm and digit-by-digit method. It is a simple and effective method to calculate many functions like trigonometric, hyperbolic, logarithmic etc. It performs complex multiplications using simple shifts and additions. It finds applications in robotics, digital signal processing, graphics, games, and animation. But, there isn't any optimized CORDIC designs for rotating vectors through specific angles. In this paper, optimization schemes and CORDIC circuits for fixed and known rotations are proposed. Finally an argument reduction technique to map larger angle to an angle less than 45 is discussed. The proposed CORDIC cells are simulated by Xilinx ISE Design Suite and shown that the proposed designs offer less latency and better device utilization than the reference CORDIC design for fixed and known angles of rotation. Keywords: Coordinate rotation digital computer (CORDIC), digital signal processing (DSP) chip, very large scale integration (VLSI) _______________________________________________________________________________________________________ I. INTRODUCTION The advances in the very large scale integration (VLSI) technology and the advent of electronic design automation (EDA) tools have been directing the current research in the areas of digital signal processing (DSP), communications, etc. in terms of the design of high speed VLSI architectures for real-time algorithms and systems which have applications in the above mentioned areas. -
Configurable RISC-V Softcore Processor for FPGA Implementation
1 Configurable RISC-V softcore processor for FPGA implementation Joao˜ Filipe Monteiro Rodrigues, Instituto Superior Tecnico,´ Universidade de Lisboa Abstract—Over the past years, the processor market has and development of several programming tools. The RISC-V been dominated by proprietary architectures that implement Foundation controls the RISC-V evolution, and its members instruction sets that require licensing and the payment of fees to are responsible for promoting the adoption of RISC-V and receive permission so they can be used. ARM is an example of one of those companies that sell its microarchitectures to participating in the development of the new ISA. In the list of the manufactures so they can implement them into their own members are big companies like Google, NVIDIA, Western products, and it does not allow the use of its instruction set Digital, Samsung, or Qualcomm. (ISA) in other implementations without licensing. The RISC-V The main goal of this work is the development of a RISC- instruction set appeared proposing the hardware and software V softcore processor to be implemented in an FPGA, using development without costs, through the creation of an open- source ISA. This way, it is possible that any project that im- a non-RISC-V core as the base of this architecture. The plements the RISC-V ISA can be made available open-source or proposed solution is focused on solving the problems and even implemented in commercial products. However, the RISC- limitations identified in the other RISC-V cores that were V solutions that have been developed do not present the needed analyzed in this thesis, especially in terms of the adaptability requirements so they can be included in projects, especially the and flexibility, allowing future modifications according to the research projects, because they offer poor documentation, and their performances are not suitable. -
Master's Thesis
Implementation of the Metal Privileged Architecture by Fatemeh Hassani A thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Masters of Mathematics in Computer Science Waterloo, Ontario, Canada, 2020 c Fatemeh Hassani 2020 Author's Declaration I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract The privileged architecture of modern computer architectures is expanded through new architectural features that are implemented in hardware or through instruction set extensions. These extensions are tied to particular architecture and operating system developers are not able to customize the privileged mechanisms. As a result, they have to work around fixed abstractions provided by processor vendors to implement desired functionalities. Programmable approaches such as PALcode also remain heavily tied to the hardware and modifying the privileged architecture has to be done by the processor manufacturer. To accelerate operating system development and enable rapid prototyping of new operating system designs and features, we need to rethink the privileged architecture design. We present a new abstraction called Metal that enables extensions to the architecture by the operating system. It provides system developers with a general-purpose and easy- to-use interface to build a variety of facilities that range from performance measurements to novel privilege models. We implement a simplified version of the Alpha architecture which we call µAlpha and build a prototype of Metal on this architecture. -
POWER-AWARE MICROARCHITECTURE: Design and Modeling Challenges for Next-Generation Microprocessors
POWER-AWARE MICROARCHITECTURE: Design and Modeling Challenges for Next-Generation Microprocessors THE ABILITY TO ESTIMATE POWER CONSUMPTION DURING EARLY-STAGE DEFINITION AND TRADE-OFF STUDIES IS A KEY NEW METHODOLOGY ENHANCEMENT. OPPORTUNITIES FOR SAVING POWER CAN BE EXPOSED VIA MICROARCHITECTURE-LEVEL MODELING, PARTICULARLY THROUGH CLOCK- GATING AND DYNAMIC ADAPTATION. Power dissipation limits have Thus far, most of the work done in the area David M. Brooks emerged as a major constraint in the design of high-level power estimation has been focused of microprocessors. At the low end of the per- at the register-transfer-level (RTL) description Pradip Bose formance spectrum, namely in the world of in the processor design flow. Only recently have handheld and portable devices or systems, we seen a surge of interest in estimating power Stanley E. Schuster power has always dominated over perfor- at the microarchitecture definition stage, and mance (execution time) as the primary design specific work on power-efficient microarchi- Hans Jacobson issue. Battery life and system cost constraints tecture design has been reported.2-8 drive the design team to consider power over Here, we describe the approach of using Prabhakar N. Kudva performance in such a scenario. energy-enabled performance simulators in Increasingly, however, power is also a key early design. We examine some of the emerg- Alper Buyuktosunoglu design issue in the workstation and server mar- ing paradigms in processor design and com- kets (see Gowan et al.)1 In this high-end arena ment on their inherent power-performance John-David Wellman the increasing microarchitectural complexities, characteristics. clock frequencies, and die sizes push the chip- Victor Zyuban level—and hence the system-level—power Power-performance efficiency consumption to such levels that traditionally See the “Power-performance fundamentals” Manish Gupta air-cooled multiprocessor server boxes may box. -
ARM Architecture
ARM Architecture Comppgzuter Organization and Assembly ygg Languages Yung-Yu Chuang with slides by Peng-Sheng Chen, Ville Pietikainen ARM history • 1983 developed by Acorn computers – To replace 6502 in BBC computers – 4-man VLSI design team – Its simp lic ity comes from the inexper ience team – Match the needs for generalized SoC for reasonable power, performance and die size – The first commercial RISC implemenation • 1990 ARM (Advanced RISC Mac hine ), owned by Acorn, Apple and VLSI ARM Ltd Design and license ARM core design but not fabricate Why ARM? • One of the most licensed and thus widespread processor cores in the world – Used in PDA, cell phones, multimedia players, handheld game console, digital TV and cameras – ARM7: GBA, iPod – ARM9: NDS, PSP, Sony Ericsson, BenQ – ARM11: Apple iPhone, Nokia N93, N800 – 90% of 32-bit embedded RISC processors till 2009 • Used especially in portable devices due to its low power consumption and reasonable performance ARM powered products ARM processors • A simple but powerful design • A whlhole filfamily of didesigns shiharing siilimilar didesign principles and a common instruction set Naming ARM •ARMxyzTDMIEJFS – x: series – y: MMU – z: cache – T: Thumb – D: debugger – M: Multiplier – I: EmbeddedICE (built-in debugger hardware) – E: Enhanced instruction – J: Jazell e (JVM) – F: Floating-point – S: SthiiblSynthesizible version (source code version for EDA tools) Popular ARM architectures •ARM7TDMI – 3 pipe line stages (ft(fetc h/deco de /execu te ) – High code density/low power consumption – One of the most used ARM-version (for low-end systems) – All ARM cores after ARM7TDMI include TDMI even if they do not include TDMI in their labels • ARM9TDMI – Compatible with ARM7 – 5 stages (fe tc h/deco de /execu te /memory /wr ite ) – Separate instruction and data cache •ARM11 ARM family comparison year 1995 1997 1999 2003 ARM is a RISC • RISC: simple but powerful instructions that execute within a single cycle at high clock speed. -
Computer Architecture Research with RISC-‐V
Computer Architecture Research with RISC-V Krste Asanovic UC Berkeley, RISC-V Foundaon, & SiFive Inc. [email protected] www.riscv.org CARRV, Boston, MA October 14, 2017 Only Two Big Mistakes Possible when Picking Research ISA § Design your own § Use someone else’s Promise of using commercially popular ISAs for research § Ported applicaons/workloads to study § Standard soRware stacks (compilers, OS) § Real commercial hardware to experiment with § Real commercial hardware to validate models with § ExisAng implementaons to study / modify § Industry is more interested in your results 3 Types of projects and standard ISAs used by me or my group in last 30 years § Experiments on real hardware plaorms: - Transputer arrays, SPARC workstaons, MIPS workstaons, POWER workstaons, ARMv7 handhelds, x86 desktops/ servers § Research chips built around modified MIPS ISA: - T0, IRAM, STC1, Scale, Maven § FPGA prototypes/simulaons using various ISAs: - RAMP Blue (modified Microblaze), RAMP Gold/ DIABLO (SPARC v8) § Experiments using soRware architectural simulators: - SimpleScalar (PISA), SMTsim (Alpha), Simics (SPARC,x86), Bochs (x86), MARSS (x86), Gem5(SPARC), PIN (Itanium, x86), … § And of course, other groups used some others too. RealiMes of using standard ISAs § Everything only works if you don’t change anything - Stock binary applicaons - Stock libraries - Stock compiler - Stock OS - Stock hardware implementaon § Add a new instrucAon, get a new non-standard ISA! - Need source code for the apps and recompile - Impossible for most real interesAng applicaons -
Arithmetic and Logical Unit Design for Area Optimization for Microcontroller Amrut Anilrao Purohit 1,2 , Mohammed Riyaz Ahmed 2 and R
et International Journal on Emerging Technologies 11 (2): 668-673(2020) ISSN No. (Print): 0975-8364 ISSN No. (Online): 2249-3255 Arithmetic and Logical Unit Design for Area Optimization for Microcontroller Amrut Anilrao Purohit 1,2 , Mohammed Riyaz Ahmed 2 and R. Venkata Siva Reddy 2 1Research Scholar, VTU Belagavi (Karnataka), India. 2School of Electronics and Communication Engineering, REVA University Bengaluru, (Karnataka), India. (Corresponding author: Amrut Anilrao Purohit) (Received 04 January 2020, Revised 02 March 2020, Accepted 03 March 2020) (Published by Research Trend, Website: www.researchtrend.net) ABSTRACT: Arithmetic and Logic Unit (ALU) can be understood with basic knowledge of digital electronics and any engineer will go through the details only once. The advantage of knowing ALU in detail is two- folded: firstly, programming of the processing device can be efficient and secondly, can design a new ALU architecture as per the various constraints of the use cases. The miniaturization of digital circuits can be achieved by either reducing the size of transistor (Moore’s law) or by optimizing the gate count of the circuit. The first has been explored extensively while the latter has been ignored which deals with the application of Boolean rules and requires sound knowledge of logic design. The ultimate outcome is to have an area optimized architecture/approach that optimizes the circuit at gate level. The design of ALU is for various processing devices varies with the device/system requirements. The area optimization places a significant role in the chip design. Here in this work, we have attempted to design an ALU which is area efficient while being loaded with additional functionality necessary for microcontrollers. -
Hardware Architecture
Hardware Architecture Components Computing Infrastructure Components Servers Clients LAN & WLAN Internet Connectivity Computation Software Storage Backup Integration is the Key ! Security Data Network Management Computer Today’s Computer Computer Model: Von Neumann Architecture Computer Model Input: keyboard, mouse, scanner, punch cards Processing: CPU executes the computer program Output: monitor, printer, fax machine Storage: hard drive, optical media, diskettes, magnetic tape Von Neumann architecture - Wiki Article (15 min YouTube Video) Components Computer Components Components Computer Components CPU Memory Hard Disk Mother Board CD/DVD Drives Adaptors Power Supply Display Keyboard Mouse Network Interface I/O ports CPU CPU CPU – Central Processing Unit (Microprocessor) consists of three parts: Control Unit • Execute programs/instructions: the machine language • Move data from one memory location to another • Communicate between other parts of a PC Arithmetic Logic Unit • Arithmetic operations: add, subtract, multiply, divide • Logic operations: and, or, xor • Floating point operations: real number manipulation Registers CPU Processor Architecture See How the CPU Works In One Lesson (20 min YouTube Video) CPU CPU CPU speed is influenced by several factors: Chip Manufacturing Technology: nm (2002: 130 nm, 2004: 90nm, 2006: 65 nm, 2008: 45nm, 2010:32nm, Latest is 22nm) Clock speed: Gigahertz (Typical : 2 – 3 GHz, Maximum 5.5 GHz) Front Side Bus: MHz (Typical: 1333MHz , 1666MHz) Word size : 32-bit or 64-bit word sizes Cache: Level 1 (64 KB per core), Level 2 (256 KB per core) caches on die. Now Level 3 (2 MB to 8 MB shared) cache also on die Instruction set size: X86 (CISC), RISC Microarchitecture: CPU Internal Architecture (Ivy Bridge, Haswell) Single Core/Multi Core Multi Threading Hyper Threading vs. -
Microcontroller Serial Interfaces
Microcontroller Serial Interfaces Dr. Francesco Conti [email protected] Microcontroller System Architecture Each MCU (micro-controller unit) is characterized by: • Microprocessor • 8,16,32 bit architecture • Usually “simple” in-order microarchitecture, no FPU Example: STM32F101 MCU Microcontroller System Architecture Each MCU (micro-controller unit) is characterized by: • Microprocessor • 8,16,32 bit architecture • Usually “simple” in-order microarchitecture, no FPU • Memory • RAM (from 512B to 256kB) • FLASH (from 512B to 1MB) Example: STM32F101 MCU Microcontroller System Architecture Each MCU (micro-controller unit) is characterized by: • Microprocessor • 8,16,32 bit architecture • Usually “simple” in-order microarchitecture, no FPU • Memory • RAM (from 512B to 256kB) • FLASH (from 512B to 1MB) • Peripherals • DMA • Timer • Interfaces • Digital Interfaces • Analog Timer DMAs Example: STM32F101 MCU Microcontroller System Architecture Each MCU (micro-controller unit) is characterized by: • Microprocessor • 8,16,32 bit architecture • Usually “simple” in-order microarchitecture, no FPU • Memory • RAM (from 512B to 256kB) • FLASH (from 512B to 1MB) • Peripherals • DMA • Timer • Interfaces • Digital • Analog • Interconnect Example: STM32F101 MCU • AHB system bus (ARM-based MCUs) • APB peripheral bus (ARM-based MCUs) Microcontroller System Architecture Each MCU (micro-controller unit) is characterized by: • Microprocessor • 8,16,32 bit architecture • Usually “simple” in-order microarchitecture, no FPU • Memory • RAM (from 512B to 256kB) • FLASH -
Realtime Capabilities of Low-End Powerpc and ARM Boards for Embedded Systems
Realtime capabilities of low-end PowerPC and ARM boards for embedded systems Alexander Bauer PHYTEC Messtechnik Gmbh Robert-Koch-Str.39, 55129 Mainz, Germany [email protected] Abstract With the stepwise integration of the Realtime Preemption Patches (RT-Preempt) into the Mainline Linux kernel and their support for architectures other than Intel and AMD, there are now a number of choices which board to use for a particular embedded realtime project running Mainline Linux. In order to select the appropriate processor and clock frequency, it would be desirable to have some generally applicable ranges of worst-case latencies that can be obtained using the various processor types and conditions. We, therefore, determined the internal worst-case latency of PowerPC and ARM boards running Linux 2.6.20 and above patched with RT-Preempt. The PowerPC-board (Phytec phyCORE-MPC5200B) was running at 266 and 400 MHz, the ARM board (Phytec phyCORE-PXA270) was running at 266 and 520 MHz. This article will provide the details of the various measurement set-ups, present the results and discuss them with respect to the design differences between PowerPC and ARM. 1 Introduction This paper presents the results of the latency tests and discusses the results with respect of the different In the embedded market there is a wide range of processor designs. processors to choose from. A processor is typically selected for a customer design because of it features, e.g. video interface and peripherals, and the clock 2 Latency Tests frequency. With the growing importance of Linux and especially realtime Linux for customer designs For the latency tests based on MPC5200 we used in the embedded market, it is also essential to choose the PHYTEC phyCORE MPC5200 board with 400 the right processor that will cope with the realtime MHz as a reference platform. -
Reverse Engineering X86 Processor Microcode
Reverse Engineering x86 Processor Microcode Philipp Koppe, Benjamin Kollenda, Marc Fyrbiak, Christian Kison, Robert Gawlik, Christof Paar, and Thorsten Holz, Ruhr-University Bochum https://www.usenix.org/conference/usenixsecurity17/technical-sessions/presentation/koppe 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 Reverse Engineering x86 Processor Microcode Philipp Koppe, Benjamin Kollenda, Marc Fyrbiak, Christian Kison, Robert Gawlik, Christof Paar, and Thorsten Holz Ruhr-Universitat¨ Bochum Abstract hardware modifications [48]. Dedicated hardware units to counter bugs are imperfect [36, 49] and involve non- Microcode is an abstraction layer on top of the phys- negligible hardware costs [8]. The infamous Pentium fdiv ical components of a CPU and present in most general- bug [62] illustrated a clear economic need for field up- purpose CPUs today. In addition to facilitate complex and dates after deployment in order to turn off defective parts vast instruction sets, it also provides an update mechanism and patch erroneous behavior. Note that the implementa- that allows CPUs to be patched in-place without requiring tion of a modern processor involves millions of lines of any special hardware. While it is well-known that CPUs HDL code [55] and verification of functional correctness are regularly updated with this mechanism, very little is for such processors is still an unsolved problem [4, 29]. known about its inner workings given that microcode and the update mechanism are proprietary and have not been Since the 1970s, x86 processor manufacturers have throughly analyzed yet.