Overview of Microprocessor-Based Controls in Transit and Concerns About Their Introduction David J
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Microcode Revision Guidance August 31, 2019 MCU Recommendations
microcode revision guidance August 31, 2019 MCU Recommendations Section 1 – Planned microcode updates • Provides details on Intel microcode updates currently planned or available and corresponding to Intel-SA-00233 published June 18, 2019. • Changes from prior revision(s) will be highlighted in yellow. Section 2 – No planned microcode updates • Products for which Intel does not plan to release microcode updates. This includes products previously identified as such. LEGEND: Production Status: • Planned – Intel is planning on releasing a MCU at a future date. • Beta – Intel has released this production signed MCU under NDA for all customers to validate. • Production – Intel has completed all validation and is authorizing customers to use this MCU in a production environment. -
Seltrac® CBTC Communications- Based Train Control for Urban Rail
www.thalesgroup.com GROUND TRANSPORTATION SelTrac® CBTC communications- based train control for urban rail World-leading THE BUSINESS CASE FOR SelTrac CBTC ® SelTrac CBTC Solutions Optimising capital investment Capacity enhancement • Shorter platforms due to shorter, more frequent trains • Aging metro infrastructures can be modernized HIGH PERFORMANCE • SOUND INVESTMENT – MTR West Rail saved 384 million USD for nine and operational capacity increased with SelTrac: stations – San Francisco MUNI SelTrac system solutions readily meet your needs to move more • Avoidance of building new tunnels (re-signalling) • London Underground, one of the world’s oldest & people more quickly and increase revenue potential. – San Francisco MUNI doubled their existing tunnel largest metros: capacity from 23 to 48 trains per hour with – Jubilee (2011): 35 km, 63 trains installation of SelTrac saving 1.3 billion USD – Northern (2014): 57 km, 106 trains – Piccadilly (2014): 71 km, 92 trains 20% capacity Equipment minimisation improvement due to signaling; Minimum impact to • No traditional ancillary equipment required if mixed- ongoing revenue operations mode is not part of normal operation – No need for new “fallback” system Energy Savings • Less equipment • Energy-optimized driving profiles (e.g. coasting, reduced – On the track speeds, and reduced acceleration curves) can be based – Due to integration of functions on time of day • Schedule synchronization for regenerative power saving Ease of expansion – Hong Kong saves an estimated 2 Million USD per • Once -
Integrating CBTC Green Field and Re-Signalling Experience IRSTE/ IRSE International Convention, New Delhi April 27 Th & 28 Th 2012
www.thalesgroup.com/canada Integrating CBTC Green Field and Re-signalling Experience IRSTE/ IRSE International Convention, New Delhi April 27 th & 28 th 2012 Hugo Ramos Transportation Systems - Signalling for Urban Rail 2 / Agenda Communication Based-Train Control Market requirements & implementation challenges Sharing experiences – project challenges & achievements Transportation Systems - Signalling for Urban Rail 3 / Thales signalling solutions for urban rail A complete portfolio of systems and related services enabling urban rail operators to take full advantage of the most advanced signalling solutions Centralise & automate the operation of Rail network the rail network management Operation & Control Centre (OCC) Route control Train control Set dedicated routes within the rail network to Supervise & control safely train movement and ensure train movement speed with on-board & trackside equipment Electronic interlocking Communications Based Train Control (CBTC) Rail field equipment Trackside equipment installed in the rail network Axle counter, point machine, signal Transportation Systems - Signalling for Urban Rail 4 / Communications Based Train Control (CBTC) The most advanced signalling solution available today for metros and people movers CBTC as defined in IEEE 1474.1 Train location determination to a high precision, independent of track circuits Continuous , bi-directional Radio Frequency (RF) communications between train and wayside, to permit the transfer of significantly more control and status data than is possible -
The Central Processor Unit
Systems Architecture The Central Processing Unit The Central Processing Unit – p. 1/11 The Computer System Application High-level Language Operating System Assembly Language Machine level Microprogram Digital logic Hardware / Software Interface The Central Processing Unit – p. 2/11 CPU Structure External Memory MAR: Memory MBR: Memory Address Register Buffer Register Address Incrementer R15 / PC R11 R7 R3 R14 / LR R10 R6 R2 R13 / SP R9 R5 R1 R12 R8 R4 R0 User Registers Booth’s Multiplier Barrel IR Shifter Control Unit CPSR 32-Bit ALU The Central Processing Unit – p. 3/11 CPU Registers Internal Registers Condition Flags PC Program Counter C Carry IR Instruction Register Z Zero MAR Memory Address Register N Negative MBR Memory Buffer Register V Overflow CPSR Current Processor Status Register Internal Devices User Registers ALU Arithmetic Logic Unit Rn Register n CU Control Unit n = 0 . 15 M Memory Store SP Stack Pointer MMU Mem Management Unit LR Link Register Note that each CPU has a different set of User Registers The Central Processing Unit – p. 4/11 Current Process Status Register • Holds a number of status flags: N True if result of last operation is Negative Z True if result of last operation was Zero or equal C True if an unsigned borrow (Carry over) occurred Value of last bit shifted V True if a signed borrow (oVerflow) occurred • Current execution mode: User Normal “user” program execution mode System Privileged operating system tasks Some operations can only be preformed in a System mode The Central Processing Unit – p. 5/11 Register Transfer Language NAME Value of register or unit ← Transfer of data MAR ← PC x: Guard, only if x true hcci: MAR ← PC (field) Specific field of unit ALU(C) ← 1 (name), bit (n) or range (n:m) R0 ← MBR(0:7) Rn User Register n R0 ← MBR num Decimal number R0 ← 128 2_num Binary number R1 ← 2_0100 0001 0xnum Hexadecimal number R2 ← 0x40 M(addr) Memory Access (addr) MBR ← M(MAR) IR(field) Specified field of IR CU ← IR(op-code) ALU(field) Specified field of the ALU(C) ← 1 Arithmetic and Logic Unit The Central Processing Unit – p. -
Visual Programming: a Programming Tool for Increasing Mathematics Achivement
ARTICLES VISUAL PROGRAMMING: A PROGRAMMING TOOL FOR INCREASING MATHEMATICS ACHIVEMENT By CHERYL SWANIER * CHERYL D. SEALS ** ELODIE BILLIONNIERE *** * Associate Professor, Mathematics and Computer Science Department, Fort Valley State University ** Associate Professor, Computer Science and Software Engineering Department, Auburn University *** Doctoral Student, Computer Science and Engineering Department, Arizona State University ABSTRACT This paper aims to address the need of increasing student achievement in mathematics using a visual programming language such as Scratch. This visual programming language facilitates creating an environment where students in K-12 education can develop mathematical simulations while learning a visual programming language at the same time. Furthermore, the study of visual programming tools as a means to increase student achievement in mathematics could possibly generate interests within the computer-supported collaborative learning community. According to Jerome Bruner in Children Learn By Doing, "knowing how something is put together is worth a thousand facts about it. It permits you to go beyond it” (Bruner, 1984, p.183). Keywords : Achievement, Creativity, End User Programming, Mathematics Education, K-12, Learning, Scratch, Squeak, Visual Programming INTRODUCTION programming language as a tool to create Across the nation, math scores lag (Lewin, 2006). Students mathematical tutorials. Additionally, this paper provides a are performing lower than ever. Lewin reports, for “the modicum of information as it relates to the educational second time in a generation, education officials are value of visual programming to mathematical rethinking the teaching of math in American schools” achievement. Peppler and Kafai (2007) indicate “game (p.1). It is imperative that higher education, industry, and players program their own games and learn about K-12 collaborate to ascertain a viable solution to the software and interface design. -
Comparing SSD Forensics with HDD Forensics
St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 5-2020 Comparing SSD Forensics with HDD Forensics Varun Reddy Kondam [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Kondam, Varun Reddy, "Comparing SSD Forensics with HDD Forensics" (2020). Culminating Projects in Information Assurance. 105. https://repository.stcloudstate.edu/msia_etds/105 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. Comparing SSD Forensics with HDD Forensics By Varun Reddy Kondam A Starred Paper Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree Master of Science in Information Assurance May 2020 Starred Paper Committee: Mark Schmidt, Chairperson Lynn Collen Sneh Kalia 2 Abstract The technological industry is growing at an unprecedented rate; to adequately evaluate this shift in the fast-paced industry, one would first need to deliberate on the differences between the Hard Disk Drive (HDD) and Solid-State Drive (SSD). HDD is a hard disk drive that was conventionally used to store data, whereas SSD is a more modern and compact substitute; SSDs comprises of flash memory technology, which is the modern-day method of storing data. Though the inception of data storage began with HDD, they proved to be less accessible and stored less data as compared to the present-day SSDs, which can easily store up to 1 Terabyte in a minuscule chip-size frame. -
Pep8cpu: a Programmable Simulator for a Central Processing Unit J
Pep8CPU: A Programmable Simulator for a Central Processing Unit J. Stanley Warford Ryan Okelberry Pepperdine University Novell 24255 Pacific Coast Highway 1800 South Novell Place Malibu, CA 90265 Provo, UT 84606 [email protected] [email protected] ABSTRACT baum [5]: application, high-order language, assembly, operating This paper presents a software simulator for a central processing system, instruction set architecture (ISA), microcode, and logic unit. The simulator features two modes of operation. In the first gate. mode, students enter individual control signals for the multiplex- For a number of years we have used an assembler/simulator for ers, function controls for the ALU, memory read/write controls, Pep/8 in the Computer Systems course to give students a hands-on register addresses, and clock pulses for the registers required for a experience at the high-order language, assembly, and ISA levels. single CPU cycle via a graphical user interface. In the second This paper presents a software package developed by an under- mode, students write a control sequence in a text window for the graduate student, now a software engineer at Novell, who took the cycles necessary to implement a single instruction set architecture Computer Organization course and was motivated to develop a (ISA) instruction. The simulator parses the sequence and allows programmable simulator at the microcode level. students to single step through its execution showing the color- Yurcik gives a survey of machine simulators [8] and maintains a coded data flow through the CPU. The paper concludes with a Web site titled Computer Architecture Simulators [9] with links to description of the use of the software in the Computer Organiza- papers and internet sources for machine simulators. -
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. -
Introduction to Microcoded Implementation of a CPU Architecture
Introduction to Microcoded Implementation of a CPU Architecture N.S. Matloff, revised by D. Franklin January 30, 1999, revised March 2004 1 Microcoding Throughout the years, Microcoding has changed dramatically. The debate over simple computers vs complex computers once raged within the architecture community. In the end, the most popular microcoded computers survived for three reasons - marketshare, technological improvements, and the embracing of the principles used in simple computers. So the two eventually merged into one. To truly understand microcoding, one must understand why they were built, what they are, why they survived, and, finally, what they look like today. 1.1 Motivation Strictly speaking, the term architecture for a CPU refers only to \what the assembly language programmer" sees|the instruction set, addressing modes, and register set. For a given target architecture, i.e. the architecture we wish to build, various implementations are possible. We could have many different internal designs of the CPU chip, all of which produced the same effect, namely the same instruction set, addressing modes, etc. The different internal designs could then all be produced for the different models of that CPU, as in the familiar Intel case. The different models would have different speed capabilities, and probably different prices to the consumer. But the same machine languge program, say a .EXE file in the Intel/DOS case, would run on any CPU in the family. When desigining an instruction set architecture, there is a tradeoff between software and hardware. If you provide very few instructions, it takes more instructions to perform the same task, but the hardware can be very simple. -
2019 State of Computer Science Education Equity and Diversity
2019 State of Computer Science Education Equity and Diversity About the Code.org About the CSTA About the ECEP Alliance Advocacy Coalition Advocacy Coalition The Computer Science Teachers The Expanding Computing Bringing together more than 70 Association (CSTA) is a membership Education Pathways (ECEP) Alliance industry, non-profit, and advocacy organization that supports and is an NSF-funded Broadening organizations, the Code.org promotes the teaching of computer Participation in Computing Alliance Advocacy Coalition is growing science. CSTA provides opportunities (NSF-CNS-1822011). As an alliance the movement to make computer for K–12 teachers and their students to of 22 states and Puerto Rico, ECEP science a fundamental part of better understand computer science seeks to increase the number and K–12 education. and to more successfully prepare diversity of students in computing themselves to teach and learn. and computing-intensive degrees Advocacy through advocacy and policy reform. Coalition About the Code.org About the Expanding Computing Advocacy Coalition Education Pathways Alliance Advocacy Coalition Bringing together more than 70 industry, non-profit, The Expanding Computing Education Pathways and advocacy organizations, the Code.org Advocacy (ECEP) Alliance is an NSF-funded Broadening Coalition is growing the movement to make computer Participation in Computing Alliance (NSF-CNS-1822011). science a fundamental part of K–12 education. ECEP seeks to increase the number and diversity of students in computing and computing-intensive About the CSTA degrees by promoting state-level computer science education reform. Working with the collective impact model, ECEP supports an alliance of 22 states and Puerto Rico to identify and develop effective The Computer Science Teachers Association (CSTA) educational interventions, and expand state-level is a membership organization that supports and infrastructure to drive educational policy change. -
2014 Report Corporate Responsibility Thales
www.thalesgroup.com 2014 REPORT Corporate Responsibility CONTENTS 04 PRINCIPLES OF RESPONSIBILITY 05 EDITORIAL 06 2014 HIGHLIGHTS 09 ABOUT THALES A global technology leader Driven by innovation Customer focus Ambition Boost performance improvement programme 21 ETHICS AND CORPORATE RESPONSIBILITY The key to being a responsible business A dedicated organisation Behavioural intelligence Supporting the initiative 31 CUSTOMERS AND SUPPLIERS Integrity and responsible business conduct Strict compliance with export control regulations Responsible purchasing for lasting relationships with suppliers 47 GOVERNANCE AND INVESTORS Ownership structure and corporate governance Transparency and regular dialogue with investors 53 EMPLOYEES Strategic commitments on social responsibility Developing our people Constructive social dialogue A safe and healthy workplace Encouraging diversity and equal opportunities 69 ENVIRONMENT A history of environmental commitment Engaging employees Thales’s “green touch” for sustainable innovation Reducing our environmental footprint 85 COMMUNITY ENGAGEMENT The Thales Foundation: innovating for people Policy at country level The 2014 Corporate Responsibility Report illustrates Thales’s commitments and actions in a number of areas of corporate responsibility, including but not limited to the measures in place to ensure compliance. This document can be downloaded in accessible PDF format for blind and partially sighted readers from Thales’s dedicated corporate responsibility internet portal: sustainability.thalesgroup.com -
Adaptec Maxcache™ SSD Caching Solutions: Reduce Latency by 13X; Improve Application Performance by up To
Adaptec maxCache™ SSD Caching Solutions: Read Caching1 Performance — IOPs and2 Latency Reduce Latency by 13x; Improve Application SAS HDDs SAS HDDs w/maxCache SAS HDDs SAS HDDs w/maxCache Performance by up to 13x 50,000 100 40,000 What is SSD Caching? 75 30,000 ms SSD caching uses Solid State Drives (SSDs) and Hard Disk Drives (HDDs) to alleviate the bottleneck that can I/Os 50 20,000 occur between server processors and hard drives by intelligently routing data to the performance-optimized location. 10,000 25 0 0 SSD Caching and Adaptec maxCache SSD Caching Solutions I OP s Latency Adaptec maxCache 2.0 delivers up to 13x performance improvement in read-intensive I/O operations per • RAID 0 performance comparison under 100% Random Read IOmeter workload second (IOPs), and up to 13x latency reduction in read-intensive applications. Adaptec maxCache 2.0 also • SAS HDDs: eight 300GB 15k SAS HDDs in RAID 0 • SAS HDDs with maxCache3/5 2.0: eight 300GB 15k SAS HDDS in RAID4/6 0 with two 100GB introduces caching of write data to leverage the performance and latency capabilities of SSD technology SATA SSDs for maxCache cache pool for workloads with reads and writes. SAS HDDs SATA HDDs w/maxCache SAS HDDs SATA HDDs w/maxCache Adaptec maxCache 2.0 is available on 6Gb/s Series 6Q RAID controllers. Why Do Your Customers Need SSD Caching? 125 2,000 Information Technology (IT) and cloud computing environments around 1,600 100 the world are facing intense pressure to reduce capital and operating costs 75 while maintaining the highest levels of system1,200 performance.