AN4894 EEPROM Emulation Techniques and Software for STM32
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Chapter 3 Semiconductor Memories
Chapter 3 Semiconductor Memories Jin-Fu Li Department of Electrical Engineering National Central University Jungli, Taiwan Outline Introduction Random Access Memories Content Addressable Memories Read Only Memories Flash Memories Advanced Reliable Systems (ARES) Lab. Jin-Fu Li, EE, NCU 2 Overview of Memory Types Semiconductor Memories Read/Write Memory or Random Access Memory (RAM) Read Only Memory (ROM) Random Access Non-Random Access Memory (RAM) Memory (RAM) •Mask (Fuse) ROM •Programmable ROM (PROM) •Erasable PROM (EPROM) •Static RAM (SRAM) •FIFO/LIFO •Electrically EPROM (EEPROM) •Dynamic RAM (DRAM) •Shift Register •Flash Memory •Register File •Content Addressable •Ferroelectric RAM (FRAM) Memory (CAM) •Magnetic RAM (MRAM) Advanced Reliable Systems (ARES) Lab. Jin-Fu Li, EE, NCU 3 Memory Elements – Memory Architecture Memory elements may be divided into the following categories Random access memory Serial access memory Content addressable memory Memory architecture 2m+k bits row decoder row decoder 2n-k words row decoder row decoder column decoder k column mux, n-bit address sense amp, 2m-bit data I/Os write buffers Advanced Reliable Systems (ARES) Lab. Jin-Fu Li, EE, NCU 4 1-D Memory Architecture S0 S0 Word0 Word0 S1 S1 Word1 Word1 S2 S2 Word2 Word2 A0 S3 S3 A1 Decoder Ak-1 Sn-2 Storage Sn-2 Wordn-2 element Wordn-2 Sn-1 Sn-1 Wordn-1 Wordn-1 m-bit m-bit Input/Output Input/Output n select signals are reduced n select signals: S0-Sn-1 to k address signals: A0-Ak-1 Advanced Reliable Systems (ARES) Lab. Jin-Fu Li, EE, NCU 5 Memory Architecture S0 Word0 Wordi-1 S1 A0 A1 Ak-1 Row Decoder Sn-1 Wordni-1 A 0 Column Decoder Aj-1 Sense Amplifier Read/Write Circuit m-bit Input/Output Advanced Reliable Systems (ARES) Lab. -
Hybrid Drowsy SRAM and STT-RAM Buffer Designs for Dark-Silicon
This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS 1 Hybrid Drowsy SRAM and STT-RAM Buffer Designs for Dark-Silicon-Aware NoC Jia Zhan, Student Member, IEEE, Jin Ouyang, Member, IEEE,FenGe,Member, IEEE, Jishen Zhao, Member, IEEE, and Yuan Xie, Fellow, IEEE Abstract— The breakdown of Dennard scaling prevents us MCMC MC from powering all transistors simultaneously, leaving a large fraction of dark silicon. This crisis has led to innovative work on Tile link power-efficient core and memory architecture designs. However, link link RouterRouter the research for addressing dark silicon challenges with network- To router on-chip (NoC), which is a major contributor to the total chip NI power consumption, is largely unexplored. In this paper, we Core link comprehensively examine the network power consumers and L1-I$ L2 L1-D$ the drawbacks of the conventional power-gating techniques. To overcome the dark silicon issue from the NoC’s perspective, we MCMC MC propose DimNoC, a dim silicon scheme, which leverages recent drowsy SRAM design and spin-transfer torque RAM (STT-RAM) Fig. 1. 4 × 4 NoC-based multicore architecture. In each node, the local technology to replace pure SRAM-based NoC buffers. processing elements (core, L1, L2 caches, and so on) are attached to a router In particular, we propose two novel hybrid buffer architectures: through an NI. Routers are interconnected through links to form an NoC. 1) a hierarchical buffer architecture, which divides the input Four memory controllers are attached at the four corners, which will be used buffers into a set of levels with different power states and 2) a for off-chip memory access. -
Section 10 Flash Technology
10 FLASH TECHNOLOGY Overview Flash memory technology is a mix of EPROM and EEPROM technologies. The term “flash” was chosen because a large chunk of memory could be erased at one time. The name, therefore, distinguishes flash devices from EEPROMs, where each byte is erased individually. Flash memory technology is today a mature technology. Flash memory is a strong com- petitor to other memories such as EPROMs, EEPROMs, and to some DRAM applications. Figure 10-1 shows the density comparison of a flash versus other memories. 64M 16M 4M DRAM/EPROM 1M SRAM/EEPROM Density 256K Flash 64K 1980 1982 1984 1986 1988 1990 1992 1994 1996 Year Source: Intel/ICE, "Memory 1996" 18613A Figure 10-1. Flash Density Versus Other Memory How the Device Works The elementary flash cell consists of one transistor with a floating gate, similar to an EPROM cell. However, technology and geometry differences between flash devices and EPROMs exist. In particular, the gate oxide between the silicon and the floating gate is thinner for flash technology. It is similar to the tunnel oxide of an EEPROM. Source and INTEGRATED CIRCUIT ENGINEERING CORPORATION 10-1 Flash Technology drain diffusions are also different. Figure 10-2 shows a comparison between a flash cell and an EPROM cell with the same technology complexity. Due to thinner gate oxide, the flash device will be more difficult to process. CMOS Flash Cell CMOS EPROM Cell Mag. 10,000x Mag. 10,000x Flash Memory Cell – Larger transistor – Thinner floating gate – Thinner oxide (100-200Å) Photos by ICE 17561A Figure 10-2. -
An Analysis of Data Corruption in the Storage Stack
An Analysis of Data Corruption in the Storage Stack Lakshmi N. Bairavasundaram∗, Garth R. Goodson†, Bianca Schroeder‡ Andrea C. Arpaci-Dusseau∗, Remzi H. Arpaci-Dusseau∗ ∗University of Wisconsin-Madison †Network Appliance, Inc. ‡University of Toronto {laksh, dusseau, remzi}@cs.wisc.edu, [email protected], [email protected] Abstract latent sector errors, within disk drives [18]. Latent sector errors are detected by a drive’s internal error-correcting An important threat to reliable storage of data is silent codes (ECC) and are reported to the storage system. data corruption. In order to develop suitable protection Less well-known, however, is that current hard drives mechanisms against data corruption, it is essential to un- and controllers consist of hundreds-of-thousandsof lines derstand its characteristics. In this paper, we present the of low-level firmware code. This firmware code, along first large-scale study of data corruption. We analyze cor- with higher-level system software, has the potential for ruption instances recorded in production storage systems harboring bugs that can cause a more insidious type of containing a total of 1.53 million disk drives, over a pe- disk error – silent data corruption, where the data is riod of 41 months. We study three classes of corruption: silently corrupted with no indication from the drive that checksum mismatches, identity discrepancies, and par- an error has occurred. ity inconsistencies. We focus on checksum mismatches since they occur the most. Silent data corruptionscould lead to data loss more of- We find more than 400,000 instances of checksum ten than latent sector errors, since, unlike latent sector er- mismatches over the 41-month period. -
Nanotechnology ? Nram (Nano Random Access
International Journal Of Engineering Research and Technology (IJERT) IFET-2014 Conference Proceedings INTERFACE ECE T14 INTRACT – INNOVATE - INSPIRE NANOTECHNOLOGY – NRAM (NANO RANDOM ACCESS MEMORY) RANJITHA. T, SANDHYA. R GOVERNMENT COLLEGE OF TECHNOLOGY, COIMBATORE 13. containing elements, nanotubes, are so small, NRAM technology will Abstract— NRAM (Nano Random Access Memory), is one of achieve very high memory densities: at least 10-100 times our current the important applications of nanotechnology. This paper has best. NRAM will operate electromechanically rather than just been prepared to cull out answers for the following crucial electrically, setting it apart from other memory technologies as a questions: nonvolatile form of memory, meaning data will be retained even What is NRAM? when the power is turned off. The creators of the technology claim it What is the need of it? has the advantages of all the best memory technologies with none of How can it be made possible? the disadvantages, setting it up to be the universal medium for What is the principle and technology involved in NRAM? memory in the future. What are the advantages and features of NRAM? The world is longing for all the things it can use within its TECHNOLOGY palm. As a result nanotechnology is taking its head in the world. Nantero's technology is based on a well-known effect in carbon Much of the electronic gadgets are reduced in size and increased nanotubes where crossed nanotubes on a flat surface can either be in efficiency by the nanotechnology. The memory storage devices touching or slightly separated in the vertical direction (normal to the are somewhat large in size due to the materials used for their substrate) due to Van der Waal's interactions. -
Understanding Real World Data Corruptions in Cloud Systems
Understanding Real World Data Corruptions in Cloud Systems Peipei Wang, Daniel J. Dean, Xiaohui Gu Department of Computer Science North Carolina State University Raleigh, North Carolina {pwang7,djdean2}@ncsu.edu, [email protected] Abstract—Big data processing is one of the killer applications enough to require attention, little research has been done to for cloud systems. MapReduce systems such as Hadoop are the understand software-induced data corruption problems. most popular big data processing platforms used in the cloud system. Data corruption is one of the most critical problems in In this paper, we present a comprehensive study on the cloud data processing, which not only has serious impact on characteristics of the real world data corruption problems the integrity of individual application results but also affects the caused by software bugs in cloud systems. We examined 138 performance and availability of the whole data processing system. data corruption incidents reported in the bug repositories of In this paper, we present a comprehensive study on 138 real world four Hadoop projects (i.e., Hadoop-common, HDFS, MapRe- data corruption incidents reported in Hadoop bug repositories. duce, YARN [17]). Although Hadoop provides fault tolerance, We characterize those data corruption problems in four aspects: our study has shown that data corruptions still seriously affect 1) what impact can data corruption have on the application and system? 2) how is data corruption detected? 3) what are the the integrity, performance, and availability -
Data & Computer Recovery Guidelines
Data & Computer Recovery Guidelines Data & Computer Recovery Guidelines This document contains general guidelines for restoring computer operating following certain types of disasters. It should be noted these guidelines will not fit every type of disaster or every organization and that you may need to seek outside help to recover and restore your operations. This document is divided into five parts. The first part provides general guidelines which are independent of the type of disaster, the next three sections deal with issues surrounding specific disaster types (flood/water damage, power surge, and physical damage). The final section deals with general recommendations to prepare for the next disaster. General Guidelines 2. Your first step is to restore the computing equipment. These are general guidelines for recovering after any type If you do try to power on the existing equipment, it of disaster or computer failure. If you have a disaster is best to remove the hard drive(s) first to make sure recovery plan, then you should be prepared; however, the system will power on. Once you have determined there may be things that were not covered to help the system powers on, you can reinstall the hard drive you recover. This section is divided into two sections and power the system back on. Hopefully, everything (computer system recovery, data recovery) works at that point. Note: this should not be tried in the case of a water or extreme heat damage. Computer System Recovery 3. If the computer will not power on then you can either The first step is to get your physical computer systems try to fix the computer or in many cases it is easier, running again. -
Data Remanence in Non-Volatile Semiconductor Memory (Part I)
Data remanence in non-volatile semiconductor memory (Part I) Security Group Sergei Skorobogatov Web: www.cl.cam.ac.uk/~sps32/ Email: [email protected] Introduction Data remanence is the residual physical representation of data that has UV EPROM EEPROM Flash EEPROM been erased or overwritten. In non-volatile programmable devices, such as UV EPROM, EEPROM or Flash, bits are stored as charge in the floating gate of a transistor. After each erase operation, some of this charge remains. It shifts the threshold voltage (VTH) of the transistor which can be detected by the sense amplifier while reading data. Microcontrollers use a ‘protection fuse’ bit that restricts unauthorized access to on-chip memory if activated. Very often, this fuse is embedded in the main memory array. In this case, it is erased simultaneously with the memory. Better protection can be achieved if the fuse is located close to the memory but has a separate control circuit. This allows it to be permanently monitored as well as hardware protected from being erased too early, thus making sure that by the time the fuse is reset no data is left inside the memory. In some smartcards and microcontrollers, a password-protected boot- Structure, cross-section and operation modes for different memory types loader restricts firmware updates and data access to authorized users only. Usually, the on-chip operating system erases both code and data How much residual charge is left inside the memory cells memory before uploading new code, thus preventing any new after a standard erase operation? Is it possible to recover data application from accessing previously stored secrets. -
Databridge ETL Solution Datasheet
DATASHEET Extract and Transform MCP Host Data for Improved KEY FEATURES Client configuration tool for Analysis and Decision Support easy customization of table layout. Fast, well-informed business decisions require access to your organization’s key performance Dynamic before-and-after indicators residing on critical database systems. But the prospect of exposing those systems images (BI-AI) based on inevitably raises concerns around security, data integrity, cost, and performance. key change. 64-bit clients. For organizations using the Unisys ClearPath MCP server and its non-relational DMSII • Client-side management database, there’s an additional challenge: Most business intelligence tools support only console. relational databases. • Ability to run the client as a service or a daemon. The Only True ETL Solution for DMSII Data • Multi-threaded clients to That’s why businesses like yours are turning to Attachmate® DATABridge™. It’s the only increase processing speed. true Extract, Transform, Load (ETL) solution that securely integrates Unisys MCP DMSII • Support for Windows Server and non-DMSII data into a secondary system. 2012. • Secure automation of Unisys With DATABridge, you can easily integrate production data into a relational database or MCP data replication. another DMSII database located on an entirely different Unisys host system. And because • Seamless integration of DATABridge clients for Oracle and Microsoft SQL Server support a breadth of operating both DMSII and non-DMSII environments (including Windows 7, Windows Server 2012, Windows Server 2008, UNIX, data with Oracle, Microsoft SQL, and other relational AIX, SUSE Linux, and Red Hat Linux), DATABridge solutions fit seamlessly into your existing databases. infrastructure. -
MRAM Technology Status
National Aeronautics and Space Administration MRAM Technology Status Jason Heidecker Jet Propulsion Laboratory Pasadena, California Jet Propulsion Laboratory California Institute of Technology Pasadena, California JPL Publication 13-3 2/13 National Aeronautics and Space Administration MRAM Technology Status NASA Electronic Parts and Packaging (NEPP) Program Office of Safety and Mission Assurance Jason Heidecker Jet Propulsion Laboratory Pasadena, California NASA WBS: 104593 JPL Project Number: 104593 Task Number: 40.49.01.09 Jet Propulsion Laboratory 4800 Oak Grove Drive Pasadena, CA 91109 http://nepp.nasa.gov i This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, and was sponsored by the National Aeronautics and Space Administration Electronic Parts and Packaging (NEPP) Program. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement by the United States Government or the Jet Propulsion Laboratory, California Institute of Technology. ©2013. California Institute of Technology. Government sponsorship acknowledged. ii TABLE OF CONTENTS 1.0 Introduction ............................................................................................................................................................ 1 2.0 MRAM Technology ................................................................................................................................................ 2 2.1 -
MSP430 Flash Memory Characteristics (Rev. B)
Application Report SLAA334B–September 2006–Revised August 2018 MSP430 Flash Memory Characteristics ........................................................................................................................ MSP430 Applications ABSTRACT Flash memory is a widely used, reliable, and flexible nonvolatile memory to store software code and data in a microcontroller. Failing to handle the flash according to data-sheet specifications can result in unreliable operation of the application. This application report explains the physics behind these specifications and also gives recommendations for the correct management of flash memory on MSP430™ microcontrollers (MCUs). All examples are based on the flash memory used in the MSP430F1xx, MSP430F2xx, and MSP430F4xx microcontroller families. Contents 1 Flash Memory ................................................................................................................ 2 2 Simplified Flash Memory Cell .............................................................................................. 2 3 Flash Memory Parameters ................................................................................................. 3 3.1 Data Retention ...................................................................................................... 3 3.2 Flash Endurance.................................................................................................... 5 3.3 Cumulative Program Time......................................................................................... 5 4 -
The Effects of Repeated Refresh Cycles on the Oxide Integrity of EEPROM Memories at High Temperature by Lynn Reed and Vema Reddy Tekmos, Inc
The Effects of Repeated Refresh Cycles on the Oxide Integrity of EEPROM Memories at High Temperature By Lynn Reed and Vema Reddy Tekmos, Inc. 4120 Commercial Center Drive, #400, Austin, TX 78744 [email protected], [email protected] Abstract Data retention in stored-charge based memories, such as Flash and EEPROMs, decreases with increasing temperature. Compensation for this shortening of retention time can be accomplished by refreshing the data using periodic erase-write refresh cycles, although the number of these cycles is limited by oxide integrity. An alternate approach is to use refresh cycles consisting of a rewrite only cycles, without the prior erase cycle. The viability of this approach requires that this refresh cycle induces less damage than an erase-write cycle. This paper studies the effects of repeated refresh cycles on oxide integrity in a high temperature environment and makes comparisons to the damage caused by erase-write cycles. The experiment consisted of running a large number of refresh cycles on a selected byte. The control group was other bytes which were not subjected to refresh only cycles. The oxide integrity was checked by performing repeated erase-write cycles on each of the two groups to determine if the refresh cycles decreased the number of erase-write cycles before failure. Data was collected from multiple parts, with different numbers of refresh cycles, and at temperatures ranging from 25C to 190C. The experiment was conducted on microcontrollers containing embedded EEPROM memories. The microcontrollers were programmed to test and measure their own memories, and to report the results to an external controller.