A compiler is a program that translates a program written in one language into an equivalent target language. The front end checks syntax and semantics, while the back end translates the source code into assembly code. The compiler performs lexical analysis, syntax analysis, semantic analysis, code generation, optimization, and error handling. It identifies errors at compile time to help produce efficient, error-free code.
Presentation is about Traditional Two Pass Compiler architecture done by 4th year Computer Science and Technology(special) undergraduates at Uva Wellassa University, Sri Lanka
Presentation is about Traditional Two Pass Compiler architecture done by 4th year Computer Science and Technology(special) undergraduates at Uva Wellassa University, Sri Lanka
This is a brief introductory lecture I conducted on von Neumann Architecture. Von Neumann is a fundamental computer hardware architecture based on the store program concept, designed by John von Neumann.
Translation of a program written in a source language into a semantically equivalent program written in a target language
It also reports to its users the presence of errors in the source program
This is a brief introductory lecture I conducted on von Neumann Architecture. Von Neumann is a fundamental computer hardware architecture based on the store program concept, designed by John von Neumann.
Translation of a program written in a source language into a semantically equivalent program written in a target language
It also reports to its users the presence of errors in the source program
Pros and cons of c as a compiler languageAshok Raj
Computer system is made of hardware and software .The hardware understands instructions in the form of electronic charge or binary language in Software programming. So the programs written in High Level Language are fed into a series of tools and OS components to get the desired machine language.This is known as Language Processing System.
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
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
2. Acompiler is a program that reads a
program written in one language and
translates into equivalent target
language
COMPILER
Source- - Target
|
|
|
Error Message
3.
4. The Front end checks whether the
program is correctly written in terms of the
programming language syntax and
semantics
The back end is responsible for translating
the source into assembly code.
9. Also called Linear Analysis
Characters read from left to right and
grouped into tokens that are a sequence of
characters with a collective meaning
Scans Input
Removes White spaces and comments
Manufacture Tokens
Generate Error if Any
11. Also called as Hierarchial Analysis
A syntax tree[also called as parse tree] is generated
where
◦ Operators Interior nodes
◦ Operands Children of node for operators.
=
A + Interior
B C Children
12. Characters grouped as tokens in Lexical Analysis are
recorded as Tables. Checks for semantic errors
Collect TYPE information for the subsequent code
generation phase
13. Sophisticated compilers typically perform multiple
passes over various intermediate forms.
Many algorithms for code optimization are easier to
apply one at a time
The input to one optimization relies on the
processing performed by another optimization
14. Input : Concrete Syntax Tree[Parse Tree] or
Abstract Syntax Tree
The tree is converted into a linear sequence
of instructions, usually in an intermediate
language such as three address code.
This is an Early stage of Code generation
15. Concrete Parse tree
Abstract syntax tree
Converted into a linear sequence of instructions
Results in 3AC [ 3 Address Code]
16. This phase attempts to improve the intermediate
code inorder to increase the running time
Reduce the complexity of the code generated
Leading to a faster execution of the program
Increased Performance
17. Platform Dependant/ Platform Independent
Optimization can be automated by compilers or
performed by programmers
Usually, the most powerful optimization is to find
a superior algorithm.
Include activities like
◦ Optimization of LOOPS
◦ Optimization of Bottlenecks
18. Succeeding step of Intermediate code
optimizer
Consists of re-locatable machine
code/assembly code
Intermediate instructions are converted
into a a sequence of machine instructions
19. One pass compilers
Multi pass compilers
Load and go compilers
Optimizing compilers
20. One pass Multi pass
Passes through the source code of Processes the source code of a
each compilation unit only once program several times
Compilation time is faster Compilation time is slower
Has limited scope of passes Has wide scope of passes.
wide compilers Narrow compilers
Pascal Java
21. Generates machine code and immediately
executes it.
Compilers usually produce either absolute
code that is executed immediately upon
conclusion of the compilation or object code that
is transformed by a linking loader into absolute
code.
22. Loop optimization
Data flow
Code generation
Functional language
Interprocedural optimizations
SSA [Static Single Assignment] based
optimizations
23. Threaded code compiler
database lookup program.
replaces given strings in the source with
given binary code.
Incremental compiler:
◦ Individual functions can be compiled in a run-time
environment that also includes interpreted
functions.
24. Stage compiler
That compiles to assembly language of a
theoretical machine, like some Prolog
implementations
Just-in-time compiler
◦ Applications are delivered in byte code, which is
compiled to native machine code just prior to
execution
25. A Retargetable compiler
◦ object code is frequently of lesser quality than that
produced by a compiler developed specifically for a
processor.
◦ Retargetable compilers are often also cross
compilers
A parallelizing compiler
◦ converts a serial input program into a form suitable
for efficient execution on a parallel computer
architecture.
26. The compiler highlights all the possible
errors which are obstacle in the
program to provide a good meaning.
Logical errors could be found only at
Run time of the program.
27. Array bound missing
Array size too large
Bad file name
Call of on function
Declaration missing
Compound statement missing
Illegal Accessions
28. Not abstract
Not accessible
Not initialized
Not found in “import”
Scope related errors
Cannot be inherited
Overloading
Overriding errors
29. Program is free from lexical errors
Program is free from syntax errors
Program is free from semantic errors
Even a complex program could be compiled in a
small interval of time
In programs related to database accessing,
many risks are reduced.