This document discusses the programmer's model of microprocessors using the ARM architecture as an example. It describes the key components of the programmer's model including the register file, address space, instruction set, fetch-decode-execute cycle, and levels of representation from high-level code to machine language. Specific topics covered include ARM addressing modes, instruction categories such as data processing and load/store, and an example assembly program.
An assembly (or assembler) language, often abbreviated asm, is a low-level programming language for a computer, or other programmable device, in which there is a very strong (generally one-to-one) correspondence between the language and the architecture's machine code instructions.
Chapter 3 INSTRUCTION SET AND ASSEMBLY LANGUAGE PROGRAMMINGFrankie Jones
3.1 UNDERSTANDING INSTRUCTION SET AND ASSEMBLY LANGUAGE
3.1.1 Define instruction set,machine and assembly language
3.1.2 Describe features and architectures of various type of microprocessor
3.1.3 Describe the Addressing Modes
3.2 APPLY ASSEMBLY LANGUAGE
3.2.1 Write simple program in assembly language
3.2.2 Tool in analyzing and debugging assembly language program
FLPU = Floating Points operations Unit
PFCU = Prefetch control unit
AOU = Atomic Operations Unit
Memory-Management unit (MMU)
MAR (memory address register)
MDR (memory data register)
BIU (Bus Interface Unit)
ARS (Application Register Set)
FRS File Register Set
(SRS) single register set
Here are the all short channel effects that you require.It consist of:-
Drain Induced Barrier Lowering
Hot electron Effect
Impact Ionization
Surface Scattering
Velocity saturation
An assembly (or assembler) language, often abbreviated asm, is a low-level programming language for a computer, or other programmable device, in which there is a very strong (generally one-to-one) correspondence between the language and the architecture's machine code instructions.
Chapter 3 INSTRUCTION SET AND ASSEMBLY LANGUAGE PROGRAMMINGFrankie Jones
3.1 UNDERSTANDING INSTRUCTION SET AND ASSEMBLY LANGUAGE
3.1.1 Define instruction set,machine and assembly language
3.1.2 Describe features and architectures of various type of microprocessor
3.1.3 Describe the Addressing Modes
3.2 APPLY ASSEMBLY LANGUAGE
3.2.1 Write simple program in assembly language
3.2.2 Tool in analyzing and debugging assembly language program
FLPU = Floating Points operations Unit
PFCU = Prefetch control unit
AOU = Atomic Operations Unit
Memory-Management unit (MMU)
MAR (memory address register)
MDR (memory data register)
BIU (Bus Interface Unit)
ARS (Application Register Set)
FRS File Register Set
(SRS) single register set
Here are the all short channel effects that you require.It consist of:-
Drain Induced Barrier Lowering
Hot electron Effect
Impact Ionization
Surface Scattering
Velocity saturation
Reduced channel length cause departures from long channel behaviour as two-dimensional potential distribution and high electric fields give birth to Short channel effects.
Join this video course on Udemy. Click the below link
https://www.udemy.com/embedded-system-programming-on-arm-cortex-m3m4/?couponCode=SLIDESHARE
This presentation course covers full architectural and internal details of one of the most famous processor ARM Cortex M3 and M4. Processor core, NVIC, Register set, Bus interfaces, AHB,APB,SYS BUS,Interrupts,memory fully explained.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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Lect05 Prog Model
1. ELEC2041 Microprocessors and Interfacing Lecture 5: Programmer’s Model of Microprocessors http://webct.edtec.unsw.edu.au/ March 2005 Saeid Nooshabadi [email_address]
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6. Review: 5 Classic Components of a Computer Network/Bus ALU Registers Control Datapath Memory Processor Input Output Control Datapath Memory Processor Input Output
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9. Fetch Decode Execute Cycle Obtain instruction from program storage Determine required actions Locate and obtain operand data Compute result value or status Deposit results in storage for later use Determine successor instruction Memory Processor Input Output ALU Registers Instruction Fetch Instruction Decode Operand Fetch Execute Result Store Next Instruction Control Datapath
10. The Programmer’s Model of a Microcomputer Instruction Set: ldr r0 , [r2, #0] add r2, r3, r4 Memory: 80000004 ldr r0 , [r2, #0] 80000008 add r2, r3, r4 8000000B 23456 80000010 AEF0 Memory mapped I/O 80000100 input 80000108 output Registers: r0 - r3, pc Programmer’s Model Addressing Modes: ldr r12, [r1,#0] mov r1 , r3 How to access data in registers and memory? i.e. how to determine and specify the data address in registers and memory
11. Memory Address Space (ARM 7TDMI) E0832004 add r2, r3, r4 instruction 0x80000000 instruction 0x80000004 E0452006 sub r2, r5, r6 0x80000008 E5920000 ldr r0, [r2] 0x00000020 instruction Data 20 hex = 32 10 0x8000000C Since 1980 almost every machine uses addresses to level of 8-bits (bytes) Addresses interpretations Binary Contents Same as variable Same as variable value 2 30 = address space size in words 4 x 2 30 = address space size in bytes = 4GBytes A word (4 bytes in memory)
12. 16 Visible Registers (ARM 7TDMI) In ARM pc is the program counter. It points to (contains the address of ) the instructions being fetched from memory. They will be covered later