This chapter discusses instruction sets and addressing modes. It covers the following addressing modes: immediate, direct, indirect, register, register indirect, displacement (indexed), stack, and combinations of these modes. It also provides examples of instruction formats and addressing modes for x86, ARM, PDP-8, PDP-10, PDP-11, and VAX architectures. The chapter concludes with a discussion of assemblers and how they translate assembly language programs into machine code.
Advanced computer architect lesson 3 and 4Ismail Mukiibi
Program creation: The OS provides a variety of facilities and services, such as editors and debuggers, to assist the programmer in creating programs. Typically, these services are in the form of utility programs that are not actually part of the OS but are accessible through the OS.....
Edhole School provides best Information about Schools in India, Delhi, Noida, Gurgaon. Here you will get about the school, contact, career, etc. Edhole Provides best study material for school students.
Advanced computer architect lesson 3 and 4Ismail Mukiibi
Program creation: The OS provides a variety of facilities and services, such as editors and debuggers, to assist the programmer in creating programs. Typically, these services are in the form of utility programs that are not actually part of the OS but are accessible through the OS.....
Edhole School provides best Information about Schools in India, Delhi, Noida, Gurgaon. Here you will get about the school, contact, career, etc. Edhole Provides best study material for school students.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
"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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
3. Immediate Addressing
• Operand is part of instruction
• Operand = address field
• e.g. ADD 5
—Add 5 to contents of accumulator
—5 is operand
• No memory reference to fetch data
• Fast
• Limited range
5. Direct Addressing
• Address field contains address of operand
• Effective address (EA) = address field (A)
• e.g. ADD A
—Add contents of cell A to accumulator
—Look in memory at address A for operand
• Single memory reference to access data
• No additional calculations to work out
effective address
• Limited address space
7. Indirect Addressing (1)
• Memory cell pointed to by address field
contains the address of (pointer to) the
operand
• EA = (A)
—Look in A, find address (A) and look there for
operand
• e.g. ADD (A)
—Add contents of cell pointed to by contents of
A to accumulator
8. Indirect Addressing (2)
• Large address space
• 2n where n = word length
• May be nested, multilevel, cascaded
—e.g. EA = (((A)))
– Draw the diagram yourself
• Multiple memory accesses to find operand
• Hence slower
10. Register Addressing (1)
• Operand is held in register named in
address filed
• EA = R
• Limited number of registers
• Very small address field needed
—Shorter instructions
—Faster instruction fetch
11. Register Addressing (2)
• No memory access
• Very fast execution
• Very limited address space
• Multiple registers helps performance
—Requires good assembly programming or
compiler writing
—N.B. C programming
– register int a;
• c.f. Direct addressing
13. Register Indirect Addressing
• C.f. indirect addressing
• EA = (R)
• Operand is in memory cell pointed to by
contents of register R
• Large address space (2n)
• One fewer memory access than indirect
addressing
14. Register Indirect Addressing Diagram
Instruction
Opcode Register Address R
Memory
Registers
Pointer to Operand Operand
15. Displacement Addressing
• EA = A + (R)
• Address field hold two values
—A = base value
—R = register that holds displacement
—or vice versa
17. Relative Addressing
• A version of displacement addressing
• R = Program counter, PC
• EA = A + (PC)
• i.e. get operand from A cells from current
location pointed to by PC
• c.f locality of reference & cache usage
18. Base-Register Addressing
• A holds displacement
• R holds pointer to base address
• R may be explicit or implicit
• e.g. segment registers in 80x86
19. Indexed Addressing
• A = base
• R = displacement
• EA = A + R
• Good for accessing arrays
—EA = A + R
—R++
21. Stack Addressing
• Operand is (implicitly) on top of stack
• e.g.
—ADD Pop top two items from stack
and add
22. x86 Addressing Modes
• Virtual or effective address is offset into segment
— Starting address plus offset gives linear address
— This goes through page translation if paging enabled
• 12 addressing modes available
— Immediate
— Register operand
— Displacement
— Base
— Base with displacement
— Scaled index with displacement
— Base with index and displacement
— Base scaled index with displacement
— Relative
24. ARM Addressing Modes
Load/Store
• Only instructions that reference memory
• Indirectly through base register plus offset
• Offset
— Offset added to or subtracted from base register contents to
form the memory address
• Preindex
— Memory address is formed as for offset addressing
— Memory address also written back to base register
— So base register value incremented or decremented by offset
value
• Postindex
— Memory address is base register value
— Offset added or subtracted
Result written back to base register
• Base register acts as index register for preindex and
postindex addressing
• Offset either immediate value in instruction or another
register
• If register scaled register addressing available
— Offset register value scaled by shift operator
— Instruction specifies shift size
26. ARM Data Processing Instruction Addressing
& Branch Instructions
• Data Processing
—Register addressing
– Value in register operands may be scaled using a
shift operator
—Or mixture of register and immediate
addressing
• Branch
—Immediate
—Instruction contains 24 bit value
—Shifted 2 bits left
– On word boundary
– Effective range +/-32MB from PC.
27. ARM Load/Store Multiple Addressing
• Load/store subset of general-purpose
registers
• 16-bit instruction field specifies list of
registers
• Sequential range of memory addresses
• Increment after, increment before,
decrement after, and decrement before
• Base register specifies main memory
address
• Incrementing or decrementing starts
before or after first memory access
29. Instruction Formats
• Layout of bits in an instruction
• Includes opcode
• Includes (implicit or explicit) operand(s)
• Usually more than one instruction format
in an instruction set
30. Instruction Length
• Affected by and affects:
—Memory size
—Memory organization
—Bus structure
—CPU complexity
—CPU speed
• Trade off between powerful instruction
repertoire and saving space
31. Allocation of Bits
• Number of addressing modes
• Number of operands
• Register versus memory
• Number of register sets
• Address range
• Address granularity
37. ARM Instruction Formats
• S = For data processing instructions, updates condition codes
• S = For load/store multiple instructions, execution restricted to supervisor
mode
• P, U, W = distinguish between different types of addressing_mode
• B = Unsigned byte (B==1) or word (B==0) access
• L = For load/store instructions, Load (L==1) or Store (L==0)
• L = For branch instructions, is return address stored in link register
39. Thumb Instruction Set
• Re-encoded subset of ARM instruction set
• Increases performance in 16-bit or less
data bus
• Unconditional (4 bits saved)
• Always update conditional flags
—Update flag not used (1 bit saved)
• Subset of instructions
—2 bit opcode, 3 bit type field (1 bit saved)
—Reduced operand specifications (9 bits saved)
41. Assembler
• Machines store and understand binary
instructions
• E.g. N= I + J + K initialize I=2, J=3, K=4
• Program starts in location 101
• Data starting 201
• Code:
• Load contents of 201 into AC
• Add contents of 202 to AC
• Add contents of 203 to AC
• Store contents of AC to 204
• Tedious and error prone
42. Improvements
• Use hexadecimal rather than binary
—Code as series of lines
– Hex address and memory address
—Need to translate automatically using program
• Add symbolic names or mnemonics for
instructions
• Three fields per line
—Location address
—Three letter opcode
—If memory reference: address
• Need more complex translation program
44. Symbolic Addresses
• First field (address) now symbolic
• Memory references in third field now
symbolic
• Now have assembly language and need an
assembler to translate
• Assembler used for some systems
programming
—Compliers
—I/O routines
45. Symbolic Program
Address Instruction
101 LDA 201
102 ADD 202
103 ADD 203
104 STA 204
201 DAT 2
202 DAT 3
203 DAT 4
204 DAT 0
46. Assembler Program
Label Operation Operand
FORMUL LDA I
ADD J
ADD K
STA N
I DATA 2
J DATA 3
K DATA 4
N DATA 0