Data Structures for RS08 Microcontrollers By: Inga Harris 8-Bit Microcontroller Applications Engineer East Kilbride, Scotland
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AMD Athlon™ Processor X86 Code Optimization Guide
AMD AthlonTM Processor x86 Code Optimization Guide © 2000 Advanced Micro Devices, Inc. All rights reserved. The contents of this document are provided in connection with Advanced Micro Devices, Inc. (“AMD”) products. AMD makes no representations or warranties with respect to the accuracy or completeness of the contents of this publication and reserves the right to make changes to specifications and product descriptions at any time without notice. No license, whether express, implied, arising by estoppel or otherwise, to any intellectual property rights is granted by this publication. Except as set forth in AMD’s Standard Terms and Conditions of Sale, AMD assumes no liability whatsoever, and disclaims any express or implied warranty, relating to its products including, but not limited to, the implied warranty of merchantability, fitness for a particular purpose, or infringement of any intellectual property right. AMD’s products are not designed, intended, authorized or warranted for use as components in systems intended for surgical implant into the body, or in other applications intended to support or sustain life, or in any other applica- tion in which the failure of AMD’s product could create a situation where per- sonal injury, death, or severe property or environmental damage may occur. AMD reserves the right to discontinue or make changes to its products at any time without notice. Trademarks AMD, the AMD logo, AMD Athlon, K6, 3DNow!, and combinations thereof, AMD-751, K86, and Super7 are trademarks, and AMD-K6 is a registered trademark of Advanced Micro Devices, Inc. Microsoft, Windows, and Windows NT are registered trademarks of Microsoft Corporation. -
Programmer's Guide
Programmer’s Guide Release 2.2.0 January 16, 2016 CONTENTS 1 Introduction 1 1.1 Documentation Roadmap...............................1 1.2 Related Publications..................................2 2 Overview 3 2.1 Development Environment..............................3 2.2 Environment Abstraction Layer............................4 2.3 Core Components...................................4 2.4 Ethernet* Poll Mode Driver Architecture.......................6 2.5 Packet Forwarding Algorithm Support........................6 2.6 librte_net........................................6 3 Environment Abstraction Layer7 3.1 EAL in a Linux-userland Execution Environment..................7 3.2 Memory Segments and Memory Zones (memzone)................ 11 3.3 Multiple pthread.................................... 12 3.4 Malloc.......................................... 14 4 Ring Library 19 4.1 References for Ring Implementation in FreeBSD*................. 20 4.2 Lockless Ring Buffer in Linux*............................ 20 4.3 Additional Features.................................. 20 4.4 Use Cases....................................... 21 4.5 Anatomy of a Ring Buffer............................... 21 4.6 References....................................... 28 5 Mempool Library 31 5.1 Cookies......................................... 31 5.2 Stats.......................................... 31 5.3 Memory Alignment Constraints............................ 31 5.4 Local Cache...................................... 32 5.5 Use Cases....................................... 33 6 -
A PROGRAMMABLE COMPUTER INTERFACE for CAMAC F by Robert W
NASA TECHNICAL NOTE NASA TN D-7148 A PROGRAMMABLE COMPUTER INTERFACE FOR CAMAC f by Robert W. Bercaw, Theodore E. Fessler, \ and Jeffrey M. Arnold Lewis Research Center Cleveland, Ohio 44135 NATIONAL AERONAUTICS AND SPACE ADMINISTRATION • WASHINGTON, D. C. • MARCH 1973 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. NASA TN D-7148 4. Title and Subtitle 5. Report Date March 1973 A PROGRAMMABLE COMPUTER INTERFACE FOR CAMAC 6. Performing Organization Code 7. Author(s) 8. Performing Organization Report No. Robert W. Bercaw, Theodore E. Fessler, and Jeffrey M. Arnold E-6957 10. Work Unit No. 9. Performing Organization Name and Address 503-10 Lewis Research Center 11. Contract or Grant No. National Aeronautics and Space Administration Cleveland, Ohio 44135 13. Type of Report and Period Covered 12. Sponsoring Agency Name and Address Technical Note National Aeronautics and Space Administration 14. Sponsoring Agency Code Washington, B.C. 20546 15. Supplementary Notes 16. Abstract An interface has been developed for CAMAC instrumentation systems that implements data transfers controlled either by the computer CPU or by an autonomous (data-channel) processor in the interface unit. The data channel processor executes programs stored in the computer memory. These programs consist of standard CAMAC module commands plus special control characters and commands for the processor itself. The interface was built for the PDP-15 computer, which has an 18-bit word structure, but both 18- and 24-bit data transfers can be made. A software system has been written that exploits the many features of the processor. 17. Key Words (Suggested by Author(s)) 18. -
Linux Kernel and Driver Development Training Slides
Linux Kernel and Driver Development Training Linux Kernel and Driver Development Training © Copyright 2004-2021, Bootlin. Creative Commons BY-SA 3.0 license. Latest update: October 9, 2021. Document updates and sources: https://bootlin.com/doc/training/linux-kernel Corrections, suggestions, contributions and translations are welcome! embedded Linux and kernel engineering Send them to [email protected] - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 1/470 Rights to copy © Copyright 2004-2021, Bootlin License: Creative Commons Attribution - Share Alike 3.0 https://creativecommons.org/licenses/by-sa/3.0/legalcode You are free: I to copy, distribute, display, and perform the work I to make derivative works I to make commercial use of the work Under the following conditions: I Attribution. You must give the original author credit. I Share Alike. If you alter, transform, or build upon this work, you may distribute the resulting work only under a license identical to this one. I For any reuse or distribution, you must make clear to others the license terms of this work. I Any of these conditions can be waived if you get permission from the copyright holder. Your fair use and other rights are in no way affected by the above. Document sources: https://github.com/bootlin/training-materials/ - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 2/470 Hyperlinks in the document There are many hyperlinks in the document I Regular hyperlinks: https://kernel.org/ I Kernel documentation links: dev-tools/kasan I Links to kernel source files and directories: drivers/input/ include/linux/fb.h I Links to the declarations, definitions and instances of kernel symbols (functions, types, data, structures): platform_get_irq() GFP_KERNEL struct file_operations - Kernel, drivers and embedded Linux - Development, consulting, training and support - https://bootlin.com 3/470 Company at a glance I Engineering company created in 2004, named ”Free Electrons” until Feb. -
Application Note Saving Data During a Power Failure Using the Dataflash® E-Series Family
Saving Data During a Power Failure Using the DataFlash® E-Series Family Application Note Saving Data During a Power Failure Using the DataFlash® E-Series Family Abstract This application note is intended to provide readers with information on how to save critical data to the Flash memory of DataFlash E-Series devices in the event of a power failure. The power failure is simulated by removing power to the devices. This document does not discuss how the power failure is detected, how the microcontroller may respond to the failure, or how the power rail is controlled for both the DataFlash device and the microcontroller. Product Highlights • Single 3V Read/Write Operation (1.65V - 3.6V Supply Range) • SPI Mode 0 and Mode 3 Compatible • Fast Read Access Times: 85 MHz Maximum Clock Frequency • Individual Hardware and Software Sector Protection • Security: 128-byte Register • JEDEC Standard Manufacturer and Device ID Read • Endurance: 100,000 Program/Erase Cycles per Page Minimum • Data Retention: 20 Years • Packaging Options: SOIC, DFN, WLCSP, Die/Wafer • Green (Pb/Halide-free) Packaging Options Application Note 114 11-Dec-2020 AN114 1 of 13 © 2020 Dialog Semiconductor Saving Data During a Power Failure Using the DataFlash® E-Series Family Revision History Revision Date Description A0 11-Dec-2020 Initial Release Application Note 114 11-Dec-2020 AN114 2 of 13 © 2020 Dialog Semiconductor Saving Data During a Power Failure Using the DataFlash® E-Series Family 1 Introduction The DataFlash E-series family of Flash memory devices are often used in applications such as server configuration, data logging, event counters and failure/error/status loggers. -
14-/12-Bit, 250MSPS, Ultralow-Power ADC with Analog Buffers Check for Samples: ADS41B29, ADS41B49
ADS41B29 ADS41B49 www.ti.com SBAS486E – NOVEMBER 2009–REVISED JULY 2012 14-/12-Bit, 250MSPS, Ultralow-Power ADC with Analog Buffers Check for Samples: ADS41B29, ADS41B49 1FEATURES DESCRIPTION The ADS41B29/B49 are members of the ultralow- 23• ADS41B49: 14-Bit, 250MSPS ADS41B29: 12-Bit, 250MSPS power ADS4xxx analog-to-digital converter (ADC) family, featuring integrated analog input buffers. • Integrated High-Impedance These devices use innovative design techniques to Analog Input Buffer: achieve high dynamic performance, while consuming – Input Capacitance: 2pF extremely low power. The analog input pins have – 200MHz Input Resistance: 3kΩ buffers, with benefits of constant performance and input impedance across a wide frequency range. The • Maximum Sample Rate: 250MSPS devices are well-suited for multi-carrier, wide • Ultralow Power: bandwidth communications applications such as PA – 1.8V Analog Power: 180mW linearization. – 3.3V Buffer Power: 96mW The ADS41B49/29 have features such as digital gain – I/O Power: 135mW (DDR LVDS) and offset correction. The gain option can be used to improve SFDR performance at lower full-scale input • High Dynamic Performance: ranges, especially at high input frequencies. The – SNR: 69dBFS at 170MHz integrated dc offset correction loop can be used to – SFDR: 82.5dBc at 170MHz estimate and cancel the ADC offset. At lower sampling rates, the ADC automatically operates at • Output Interface: scaled-down power with no loss in performance. – Double Data Rate (DDR) LVDS with Programmable Swing and Strength: The devices support both double data rate (DDR) low-voltage differential signaling (LVDS) and parallel – Standard Swing: 350mV CMOS digital output interfaces. The low data rate of – Low Swing: 200mV the DDR LVDS interface (maximum 500MBPS) – Default Strength: 100Ω Termination makes it possible to use low-cost field-programmable gate array (FPGA)-based receivers. -
Tricore Architecture Manual for a Detailed Discussion of Instruction Set Encoding and Semantics
User’s Manual, v2.3, Feb. 2007 TriCore 32-bit Unified Processor Core Embedded Applications Binary Interface (EABI) Microcontrollers Edition 2007-02 Published by Infineon Technologies AG 81726 München, Germany © Infineon Technologies AG 2007. All Rights Reserved. Legal Disclaimer The information given in this document shall in no event be regarded as a guarantee of conditions or characteristics (“Beschaffenheitsgarantie”). With respect to any examples or hints given herein, any typical values stated herein and/or any information regarding the application of the device, Infineon Technologies hereby disclaims any and all warranties and liabilities of any kind, including without limitation warranties of non- infringement of intellectual property rights of any third party. Information For further information on technology, delivery terms and conditions and prices please contact your nearest Infineon Technologies Office (www.infineon.com). Warnings Due to technical requirements components may contain dangerous substances. For information on the types in question please contact your nearest Infineon Technologies Office. Infineon Technologies Components may only be used in life-support devices or systems with the express written approval of Infineon Technologies, if a failure of such components can reasonably be expected to cause the failure of that life-support device or system, or to affect the safety or effectiveness of that device or system. Life support devices or systems are intended to be implanted in the human body, or to support and/or maintain and sustain and/or protect human life. If they fail, it is reasonable to assume that the health of the user or other persons may be endangered. User’s Manual, v2.3, Feb. -
Real-Time Operating System (RTOS)
Real-Time Operating System ELC 4438 – Spring 2016 Liang Dong Baylor University RTOS – Basic Kernel Services Task Management • Scheduling is the method by which threads, processes or data flows are given access to system resources (e.g. processor time, communication bandwidth). • The need for a scheduling algorithm arises from the requirement for most modern systems to perform multitasking (executing more than one process at a time) and multiplexing (transmit multiple data streams simultaneously across a single physical channel). Task Management • Polled loops; Synchronized polled loops • Cyclic Executives (round-robin) • State-driven and co-routines • Interrupt-driven systems – Interrupt service routines – Context switching void main(void) { init(); Interrupt-driven while(true); } Systems void int1(void) { save(context); task1(); restore(context); } void int2(void) { save(context); task2(); restore(context); } Task scheduling • Most RTOSs do their scheduling of tasks using a scheme called "priority-based preemptive scheduling." • Each task in a software application must be assigned a priority, with higher priority values representing the need for quicker responsiveness. • Very quick responsiveness is made possible by the "preemptive" nature of the task scheduling. "Preemptive" means that the scheduler is allowed to stop any task at any point in its execution, if it determines that another task needs to run immediately. Hybrid Systems • A hybrid system is a combination of round- robin and preemptive-priority systems. – Tasks of higher priority can preempt those of lower priority. – If two or more tasks of the same priority are ready to run simultaneously, they run in round-robin fashion. Thread Scheduling ThreadPriority.Highest ThreadPriority.AboveNormal A B ThreadPriority.Normal C ThreadPriority.BelowNormal D E F ThreadPriority.Lowest Default priority is Normal. -
Parallelization Hardware Architecture Type to Enter Text
Parallelization Hardware architecture Type to enter text Delft University of Technology Challenge the future Contents • Introduction • Classification of systems • Topology • Clusters and Grid • Fun Hardware 2 hybrid parallel vector superscalar scalar 3 Why Parallel Computing Primary reasons: • Save time • Solve larger problems • Provide concurrency (do multiple things at the same time) Classification of HPC hardware • Architecture • Memory organization 5 1st Classification: Architecture • There are several different methods used to classify computers • No single taxonomy fits all designs • Flynn's taxonomy uses the relationship of program instructions to program data • SISD - Single Instruction, Single Data Stream • SIMD - Single Instruction, Multiple Data Stream • MISD - Multiple Instruction, Single Data Stream • MIMD - Multiple Instruction, Multiple Data Stream 6 Flynn’s Taxonomy • SISD: single instruction and single data stream: uniprocessor • SIMD: vector architectures: lower flexibility • MISD: no commercial multiprocessor: imagine data going through a pipeline of execution engines • MIMD: most multiprocessors today: easy to construct with off-the-shelf computers, most flexibility 7 SISD • One instruction stream • One data stream • One instruction issued on each clock cycle • One instruction executed on single element(s) of data (scalar) at a time • Traditional ‘von Neumann’ architecture (remember from introduction) 8 SIMD • Also von Neumann architectures but more powerful instructions • Each instruction may operate on more than one data element • Usually intermediate host executes program logic and broadcasts instructions to other processors • Synchronous (lockstep) • Rating how fast these machines can issue instructions is not a good measure of their performance • Two major types: • Vector SIMD • Parallel SIMD 9 Vector SIMD • Single instruction results in multiple operands being updated • Scalar processing operates on single data elements. -
The 8255A Is Generally Seen As 8-Bit Bidirectional Data Buffer, Which Is
PROGRAMMABLE PERIPHERAL INTERFACE 8255 The 8255A is generally seen as 8-bit bidirectional data buffer, which is specially designed to transfer the data with the execution of input output instructions requested by the CPU. It has the ability to use with almost any microprocessor. It consists of three 8-bit bidirectional I/O ports (24I/O lines) which can be configured with their different functional characteristics, each possessing unique features to upgrade the flexibility of 8255. Ports of 8255A 8255A consists of three ports, i.e., PORT A, PORT B, and PORT C. Port A contains one 8-bit output latch/buffer and one 8-bit input buffer possessing both pull- up and pull-down devices present in Port A. Port B is similar to PORT A. Port C can be split into two parts, i.e. PORT C lower (PC0-PC3) and PORT C upper (PC7- PC4) with the help of control word. These three ports are further classified into two groups, i.e. Group A includes PORT A and upper PORT C. Group B includes PORT B and lower PORT C. These two groups can be programmed in three different modes, i.e. the first mode is named as mode 0, the second mode is named as Mode 1 and the third mode is named as Mode 2. Data Bus Buffer : It is a tri-state 8-bit bidirectional data buffer, which helps in interfacing the microprocessor to the system data bus. Data is transmitted or received by the buffer with the input output instructions given by the CPU. -
FSS) in Oracle Cloud Infrastructure
Everyone Loves File: File Storage Service (FSS) in Oracle Cloud Infrastructure Bradley C. Kuszmaul Matteo Frigo Justin Mazzola Paluska Alexander (Sasha) Sandler Oracle Corporation Abstract 100 MB=s of bandwidth and 3000 operations per sec- ond for every terabyte stored. Customers can mount a File Storage Service (FSS) is an elastic filesystem pro- filesystem on an arbitrary number of NFS clients. The vided as a managed NFS service in Oracle Cloud In- size of a file or filesystem is essentially unbounded, lim- frastructure. Using a pipelined Paxos implementation, ited only by the practical concerns that the NFS pro- we implemented a scalable block store that provides lin- tocol cannot cope with files bigger than 16 EiB and earizable multipage limited-size transactions. On top of that we would need to deploy close to a million hosts the block store, we built a scalable B-tree that provides to store multiple exabytes. FSS provides the ability linearizable multikey limited-size transactions. By us- to take a snapshot of a filesystem using copy-on-write ing self-validating B-tree nodes and performing all B- techniques. Creating a filesystem or snapshot is cheap, tree housekeeping operations as separate transactions, so that customers can create thousands of filesystems, each key in a B-tree transaction requires only one page each with thousands of snapshots. The system is robust in the underlying block transaction. The B-tree holds against failures since it synchronously replicates data the filesystem metadata. The filesystem provides snap- and metadata 5-ways using Paxos [44]. shots by using versioned key-value pairs. -
Circ-Tree: a B+-Tree Variant with Circular Design for Persistent Memory
IEEE TRANASCTIONS ON XXXXXX 1 Circ-Tree: A B+-Tree Variant with Circular Design for Persistent Memory Chundong Wang, Gunavaran Brihadiswarn, Xingbin Jiang, and Sudipta Chattopadhyay Abstract—Several B+-tree variants have been developed to exploit the performance potential of byte-addressable non-volatile memory (NVM). In this paper, we attentively investigate the properties of B+-tree and find that, a conventional B+-tree node is a linear structure in which key-value (KV) pairs are maintained from the zero offset of the node. These pairs are shifted in a unidirectional fashion for insertions and deletions. Inserting and deleting one KV pair may inflict a large amount of write amplifications due to shifting KV pairs. This badly impairs the performance of in-NVM B+-tree. In this paper, we propose a novel circular design for B+-tree. With regard to NVM’s byte-addressability, our Circ-tree design embraces tree nodes in a circular structure without a fixed base address, and bidirectionally shifts KV pairs in a node for insertions and deletions to minimize write amplifications. We have implemented a prototype for Circ-Tree and conducted extensive experiments. Experimental results show that Circ-Tree significantly outperforms two state-of-the-art in-NVM B+-tree variants, i.e., NV-tree and FAST+FAIR, by up to 1.6× and 8.6×, respectively, in terms of write performance. The end-to-end comparison by running YCSB to KV store systems built on NV-tree, FAST+FAIR, and Circ-Tree reveals that Circ-Tree yields up to 29.3% and 47.4% higher write performance, respectively, than NV-tree and FAST+FAIR.