The document summarizes key concepts related to process synchronization. It introduces the critical section problem where processes need coordinated access to shared resources. Several classic solutions are described, including Peterson's algorithm and using semaphores. Mutex locks and their implementation using atomic hardware instructions like test-and-set are also covered. The concepts of deadlock and starvation that can occur without proper synchronization are briefly mentioned at the end.
The document discusses process synchronization and solutions to the critical section problem. It describes a bounded buffer problem where a producer and consumer access shared data concurrently. Without synchronization, the final value of shared data like a counter could be incorrect. It presents Peterson's algorithm and solutions using test-and-set and compare-and-swap hardware instructions to synchronize processes and ensure mutual exclusion. Finally, it introduces mutex locks and semaphores as synchronization tools provided by operating systems to solve the critical section problem.
The document discusses process synchronization and solutions to the critical section problem. It introduces the producer-consumer problem as an example that requires synchronization. The critical section problem aims to ensure that only one process at a time can be executing shared code or accessing shared data. Peterson's algorithm provides a solution for two processes using shared variables. Hardware synchronization methods like mutex locks and semaphores provide atomic primitives to synchronize processes. Semaphores use wait() and signal() operations to control access to shared resources without busy waiting.
This document provides an overview of the Java programming language. It discusses how Java is platform independent and compiles code to bytecode that runs on the Java Virtual Machine (JVM). Key Java features like automatic memory management, object-oriented design, and security are summarized. The document also covers Java syntax like data types, operators, control flow, and classes/methods. It provides examples of working with files, streams, and serialization in Java.
This document discusses processes and their interaction in operating systems. It defines a process as a program in execution that includes code, data, threads of execution, and resources. It describes how operating systems virtualize CPUs and memory to allow multiple processes to run concurrently. It discusses different types of process interactions including competition over shared resources, which can cause race conditions, and cooperation through synchronization and message passing. It presents several algorithms to solve the critical section problem of mutual exclusion when processes access shared resources.
This document provides an overview of the Java programming language. It discusses topics such as how Java code is compiled and run, Java's platform independence, object-oriented features like inheritance and polymorphism, basic syntax like variables and loops, and input/output stream manipulation. The document is intended as a tutorial or introduction to Java for learning purposes.
This document provides an overview of the Java programming language. It discusses key Java concepts like object-oriented programming, classes, methods, streams, and input/output. It also covers Java syntax like primitive types, variables, operators, flow control, and arrays. The document explains how Java code is compiled to bytecode and run on the Java Virtual Machine, making it platform independent.
The document summarizes key concepts related to process synchronization. It introduces the critical section problem where processes need coordinated access to shared resources. Several classic solutions are described, including Peterson's algorithm and using semaphores. Mutex locks and their implementation using atomic hardware instructions like test-and-set are also covered. The concepts of deadlock and starvation that can occur without proper synchronization are briefly mentioned at the end.
The document discusses process synchronization and solutions to the critical section problem. It describes a bounded buffer problem where a producer and consumer access shared data concurrently. Without synchronization, the final value of shared data like a counter could be incorrect. It presents Peterson's algorithm and solutions using test-and-set and compare-and-swap hardware instructions to synchronize processes and ensure mutual exclusion. Finally, it introduces mutex locks and semaphores as synchronization tools provided by operating systems to solve the critical section problem.
The document discusses process synchronization and solutions to the critical section problem. It introduces the producer-consumer problem as an example that requires synchronization. The critical section problem aims to ensure that only one process at a time can be executing shared code or accessing shared data. Peterson's algorithm provides a solution for two processes using shared variables. Hardware synchronization methods like mutex locks and semaphores provide atomic primitives to synchronize processes. Semaphores use wait() and signal() operations to control access to shared resources without busy waiting.
This document provides an overview of the Java programming language. It discusses how Java is platform independent and compiles code to bytecode that runs on the Java Virtual Machine (JVM). Key Java features like automatic memory management, object-oriented design, and security are summarized. The document also covers Java syntax like data types, operators, control flow, and classes/methods. It provides examples of working with files, streams, and serialization in Java.
This document discusses processes and their interaction in operating systems. It defines a process as a program in execution that includes code, data, threads of execution, and resources. It describes how operating systems virtualize CPUs and memory to allow multiple processes to run concurrently. It discusses different types of process interactions including competition over shared resources, which can cause race conditions, and cooperation through synchronization and message passing. It presents several algorithms to solve the critical section problem of mutual exclusion when processes access shared resources.
This document provides an overview of the Java programming language. It discusses topics such as how Java code is compiled and run, Java's platform independence, object-oriented features like inheritance and polymorphism, basic syntax like variables and loops, and input/output stream manipulation. The document is intended as a tutorial or introduction to Java for learning purposes.
This document provides an overview of the Java programming language. It discusses key Java concepts like object-oriented programming, classes, methods, streams, and input/output. It also covers Java syntax like primitive types, variables, operators, flow control, and arrays. The document explains how Java code is compiled to bytecode and run on the Java Virtual Machine, making it platform independent.
- Java is a platform independent programming language that is similar to C++ in syntax but similar to Smalltalk in its object-oriented approach. It provides features like automatic memory management, security, and multi-threading capabilities.
- Java code is compiled to bytecode that can run on any Java Virtual Machine (JVM). The JVM then interprets the bytecode and may perform just-in-time (JIT) compilation for improved performance. This allows Java programs to run on any platform with a JVM.
- Java supports object-oriented programming principles like encapsulation, inheritance, and polymorphism. Classes can contain methods and instance variables. Methods can be called on objects to perform operations or retrieve data.
- Java is a platform independent programming language that is similar to C++ in syntax but similar to Smalltalk in its object-oriented approach. It provides features like automatic memory management, security, and multi-threading capabilities.
- Java code is compiled to bytecode that can run on any Java Virtual Machine (JVM). Only depending on the JVM allows Java code to run on any hardware or operating system with a JVM.
- Java supports object-oriented programming concepts like inheritance, polymorphism, and encapsulation. Classes can contain methods and instance variables to define objects.
- Java is a platform independent programming language that is similar to C++ in syntax but similar to Smalltalk in its object-oriented approach. It provides features like automatic memory management, security, and multi-threading capabilities.
- Java code is compiled to bytecode that can run on any Java Virtual Machine (JVM). Only depending on the JVM allows Java code to run on any hardware or operating system with a JVM.
- Java supports object-oriented programming concepts like inheritance, polymorphism, and encapsulation. Classes can contain methods and instance variables. Methods perform actions and can return values.
Java allows writing code once that can run on any platform. It compiles to bytecode that runs on the Java Virtual Machine (JVM). Key features include automatic memory management, object-oriented design, platform independence, security, and multi-threading. Classes are defined in .java files and compiled to .class files. The JVM interprets bytecode and uses just-in-time compilation to improve performance.
The document discusses Bluespec, a hardware description language that combines features of Haskell and SystemVerilog assertions (SVA). Bluespec models all state explicitly using guarded atomic actions on state. Behavior is expressed as rules with guards and actions. Assertions in Bluespec are compiled into finite state machines and checked concurrently as rules. The document provides an example of using Bluespec to write functional and performance assertions for a cache controller design.
This document contains two sample question papers for an Operating Systems exam for a 4th semester BTech course in IT/CSE. Each paper has three sections - Section A contains 10 short answer questions worth 2 marks each, Section B contains 4 long answer questions worth 5 marks each, and Section C contains 2 long answer questions worth 10 marks each. The questions cover topics like virtual memory, processes, threads, CPU scheduling algorithms, deadlocks, memory management techniques like paging, segmentation, swapping etc.
Java Tutorial
Write Once, Run Anywhere
The document provides an overview of Java including:
- Java is a platform independent programming language similar to C++ in syntax and Smalltalk in mental paradigm.
- Key features of Java include automatic type checking, garbage collection, simplified pointers and network access, and multi-threading.
- Java code is compiled to bytecode, which is interpreted by the Java Virtual Machine (JVM) on any platform, allowing Java to be platform independent. Just-in-time compilers attempt to increase speed.
This document provides an overview of the Java programming language. It discusses key features such as platform independence, object-oriented programming principles like inheritance and polymorphism, automatic memory management, and security features. It also covers basic Java concepts like primitive data types, variables, operators, control flow statements, methods, classes and objects.
This document provides an overview of the Java programming language. It discusses key features such as platform independence, object-oriented programming principles like inheritance and polymorphism, automatic memory management, and security features. It also covers basic Java concepts like primitive data types, variables, operators, flow control statements, methods, and classes.
Java is an object-oriented programming language that is platform independent, allowing code to run on any device. It features automatic memory management, strong typing, and multi-threading. Java code is compiled to bytecode that runs on a Java Virtual Machine, providing platform independence. Methods and classes encapsulate code and data, and inheritance, polymorphism, and interfaces support object-oriented programming.
This document provides an overview of the Java programming language. It discusses key features such as platform independence, object-oriented programming principles like inheritance and polymorphism, automatic memory management, and security features. It also covers basic Java concepts like primitive data types, variables, operators, control flow statements, methods, and classes.
Java is a platform independent programming language similar to C++ in syntax and Smalltalk in mental paradigm. It has features like automatic type checking, garbage collection, simplified pointers and network access. Java code is compiled to bytecode, which is interpreted by the Java Virtual Machine (JVM) on various platforms, making Java portable across different operating systems and hardware. Methods and data in Java classes can be declared as public or private to control access and eliminate errors between classes.
This document discusses process synchronization and solving the producer-consumer problem using semaphores. It begins by introducing process synchronization and critical sections. It then presents Peterson's solution to the two processes synchronization problem using flags. The document discusses using semaphores to represent resources and synchronize processes. It presents the bounded buffer problem and shows how to solve it using binary and counting semaphores to control access to the shared buffer between the producer and consumer processes.
With the release of React 18 we finally get the long awaited concurrent rendering. But how is that going to affect your application? What are the benefits of concurrent rendering in React? What do you need to do to switch to concurrent rendering when you upgrade to React 18? And what if you don’t want or can’t use concurrent rendering yet?
There are some behavior changes you need to be aware of! In this workshop we will cover all of those subjects and more.
Join me with your laptop in this interactive workshop. You will see how easy it is to switch to concurrent rendering in your React application. You will learn all about concurrent rendering, SuspenseList, the startTransition API and more.
https://reactadvanced.com/workshops-3h
Here is a Java program that takes integer input from the user between 0-100 and prints the number in English:
import java.util.Scanner;
public class NumberToWords {
public static void main(String[] args) {
Scanner sc = new Scanner(System.in);
System.out.print("Enter a number between 0-100: ");
int num = sc.nextInt();
if(num < 0 || num > 100) {
System.out.println("Number is out of range!");
return;
}
String word = numberToWord(num);
System.out.println(word);
}
public static String numberToWord(int number)
This document provides information about the course "G53SRP Systems and Real-Time Programming" offered in the 2009-2010 academic year. The course assumes a basic knowledge of Java programming and reviews concurrent programming and real-time concepts in Java. It introduces embedded and real-time programming, interfacing with hardware, and the specific requirements of real-time systems such as scheduling, asynchronous events, and memory management. The course involves weekly lectures and practical sessions and is assessed through a final exam.
The document provides an introduction to the Java programming language. It discusses Java's history and key editions. It also covers basic Java concepts like compiling and running a simple "Hello World" program, primitive data types, variables, operators, conditional statements like if/else, and iterative structures like the for loop. Examples are provided throughout to demonstrate syntax and output.
Introduction to Machine Learning
Association Analysis
Supervised (inductive) learning
Training data includes desired outputs
Classification
Regression/Prediction
Unsupervised learning
Training data does not include desired outputs
Semi-supervised learning
Training data includes a few desired outputs
Reinforcement learning
Rewards from sequence of actions
Time Series Analysis and Forecasting in PracticeDilum Bandara
This document discusses time series analysis and forecasting. It covers the components of time series including trends, seasonality, cyclical patterns and irregular components. It then describes several approaches to forecasting including qualitative judgmental methods, statistical time series models and explanatory causal models. Specific statistical time series forecasting techniques are explained such as simple and exponential smoothing, linear regression models, and Holt-Winters seasonal models. The importance of evaluating forecast accuracy is also highlighted.
- Java is a platform independent programming language that is similar to C++ in syntax but similar to Smalltalk in its object-oriented approach. It provides features like automatic memory management, security, and multi-threading capabilities.
- Java code is compiled to bytecode that can run on any Java Virtual Machine (JVM). The JVM then interprets the bytecode and may perform just-in-time (JIT) compilation for improved performance. This allows Java programs to run on any platform with a JVM.
- Java supports object-oriented programming principles like encapsulation, inheritance, and polymorphism. Classes can contain methods and instance variables. Methods can be called on objects to perform operations or retrieve data.
- Java is a platform independent programming language that is similar to C++ in syntax but similar to Smalltalk in its object-oriented approach. It provides features like automatic memory management, security, and multi-threading capabilities.
- Java code is compiled to bytecode that can run on any Java Virtual Machine (JVM). Only depending on the JVM allows Java code to run on any hardware or operating system with a JVM.
- Java supports object-oriented programming concepts like inheritance, polymorphism, and encapsulation. Classes can contain methods and instance variables to define objects.
- Java is a platform independent programming language that is similar to C++ in syntax but similar to Smalltalk in its object-oriented approach. It provides features like automatic memory management, security, and multi-threading capabilities.
- Java code is compiled to bytecode that can run on any Java Virtual Machine (JVM). Only depending on the JVM allows Java code to run on any hardware or operating system with a JVM.
- Java supports object-oriented programming concepts like inheritance, polymorphism, and encapsulation. Classes can contain methods and instance variables. Methods perform actions and can return values.
Java allows writing code once that can run on any platform. It compiles to bytecode that runs on the Java Virtual Machine (JVM). Key features include automatic memory management, object-oriented design, platform independence, security, and multi-threading. Classes are defined in .java files and compiled to .class files. The JVM interprets bytecode and uses just-in-time compilation to improve performance.
The document discusses Bluespec, a hardware description language that combines features of Haskell and SystemVerilog assertions (SVA). Bluespec models all state explicitly using guarded atomic actions on state. Behavior is expressed as rules with guards and actions. Assertions in Bluespec are compiled into finite state machines and checked concurrently as rules. The document provides an example of using Bluespec to write functional and performance assertions for a cache controller design.
This document contains two sample question papers for an Operating Systems exam for a 4th semester BTech course in IT/CSE. Each paper has three sections - Section A contains 10 short answer questions worth 2 marks each, Section B contains 4 long answer questions worth 5 marks each, and Section C contains 2 long answer questions worth 10 marks each. The questions cover topics like virtual memory, processes, threads, CPU scheduling algorithms, deadlocks, memory management techniques like paging, segmentation, swapping etc.
Java Tutorial
Write Once, Run Anywhere
The document provides an overview of Java including:
- Java is a platform independent programming language similar to C++ in syntax and Smalltalk in mental paradigm.
- Key features of Java include automatic type checking, garbage collection, simplified pointers and network access, and multi-threading.
- Java code is compiled to bytecode, which is interpreted by the Java Virtual Machine (JVM) on any platform, allowing Java to be platform independent. Just-in-time compilers attempt to increase speed.
This document provides an overview of the Java programming language. It discusses key features such as platform independence, object-oriented programming principles like inheritance and polymorphism, automatic memory management, and security features. It also covers basic Java concepts like primitive data types, variables, operators, control flow statements, methods, classes and objects.
This document provides an overview of the Java programming language. It discusses key features such as platform independence, object-oriented programming principles like inheritance and polymorphism, automatic memory management, and security features. It also covers basic Java concepts like primitive data types, variables, operators, flow control statements, methods, and classes.
Java is an object-oriented programming language that is platform independent, allowing code to run on any device. It features automatic memory management, strong typing, and multi-threading. Java code is compiled to bytecode that runs on a Java Virtual Machine, providing platform independence. Methods and classes encapsulate code and data, and inheritance, polymorphism, and interfaces support object-oriented programming.
This document provides an overview of the Java programming language. It discusses key features such as platform independence, object-oriented programming principles like inheritance and polymorphism, automatic memory management, and security features. It also covers basic Java concepts like primitive data types, variables, operators, control flow statements, methods, and classes.
Java is a platform independent programming language similar to C++ in syntax and Smalltalk in mental paradigm. It has features like automatic type checking, garbage collection, simplified pointers and network access. Java code is compiled to bytecode, which is interpreted by the Java Virtual Machine (JVM) on various platforms, making Java portable across different operating systems and hardware. Methods and data in Java classes can be declared as public or private to control access and eliminate errors between classes.
This document discusses process synchronization and solving the producer-consumer problem using semaphores. It begins by introducing process synchronization and critical sections. It then presents Peterson's solution to the two processes synchronization problem using flags. The document discusses using semaphores to represent resources and synchronize processes. It presents the bounded buffer problem and shows how to solve it using binary and counting semaphores to control access to the shared buffer between the producer and consumer processes.
With the release of React 18 we finally get the long awaited concurrent rendering. But how is that going to affect your application? What are the benefits of concurrent rendering in React? What do you need to do to switch to concurrent rendering when you upgrade to React 18? And what if you don’t want or can’t use concurrent rendering yet?
There are some behavior changes you need to be aware of! In this workshop we will cover all of those subjects and more.
Join me with your laptop in this interactive workshop. You will see how easy it is to switch to concurrent rendering in your React application. You will learn all about concurrent rendering, SuspenseList, the startTransition API and more.
https://reactadvanced.com/workshops-3h
Here is a Java program that takes integer input from the user between 0-100 and prints the number in English:
import java.util.Scanner;
public class NumberToWords {
public static void main(String[] args) {
Scanner sc = new Scanner(System.in);
System.out.print("Enter a number between 0-100: ");
int num = sc.nextInt();
if(num < 0 || num > 100) {
System.out.println("Number is out of range!");
return;
}
String word = numberToWord(num);
System.out.println(word);
}
public static String numberToWord(int number)
This document provides information about the course "G53SRP Systems and Real-Time Programming" offered in the 2009-2010 academic year. The course assumes a basic knowledge of Java programming and reviews concurrent programming and real-time concepts in Java. It introduces embedded and real-time programming, interfacing with hardware, and the specific requirements of real-time systems such as scheduling, asynchronous events, and memory management. The course involves weekly lectures and practical sessions and is assessed through a final exam.
The document provides an introduction to the Java programming language. It discusses Java's history and key editions. It also covers basic Java concepts like compiling and running a simple "Hello World" program, primitive data types, variables, operators, conditional statements like if/else, and iterative structures like the for loop. Examples are provided throughout to demonstrate syntax and output.
Introduction to Machine Learning
Association Analysis
Supervised (inductive) learning
Training data includes desired outputs
Classification
Regression/Prediction
Unsupervised learning
Training data does not include desired outputs
Semi-supervised learning
Training data includes a few desired outputs
Reinforcement learning
Rewards from sequence of actions
Time Series Analysis and Forecasting in PracticeDilum Bandara
This document discusses time series analysis and forecasting. It covers the components of time series including trends, seasonality, cyclical patterns and irregular components. It then describes several approaches to forecasting including qualitative judgmental methods, statistical time series models and explanatory causal models. Specific statistical time series forecasting techniques are explained such as simple and exponential smoothing, linear regression models, and Holt-Winters seasonal models. The importance of evaluating forecast accuracy is also highlighted.
Introduction to Dimension Reduction with PCADilum Bandara
Dimension reduction techniques simplify complex datasets by identifying underlying patterns or structures in the data. Principal component analysis (PCA) is a common dimension reduction method that defines new axes (principal components) to maximize variance in the data. PCA examines correlations between these principal components and the original variables to identify sets of highly correlated variables and reduce them to a few representative components. Eigenvalues measure the amount of variance explained by each principal component, and scree plots can help determine how many components to retain by balancing information loss and simplification of the data.
Introduction to Descriptive & Predictive AnalyticsDilum Bandara
This document provides an introduction to descriptive and predictive analytics. It discusses key concepts including descriptive analytics which uses data aggregation and mining to provide insights into past data, predictive analytics which uses statistical models and forecasts to understand the future, and prescriptive analytics which uses optimization and simulation to advise on possible outcomes. The document also reviews basic statistical concepts such as measures of location, dispersion, shape, and association that are important for data analytics. These concepts include mean, median, standard deviation, skewness, kurtosis, and correlation.
Hard to Paralelize Problems: Matrix-Vector and Matrix-MatrixDilum Bandara
The document discusses several problems that are hard to parallelize, including matrix-vector multiplication and matrix-matrix multiplication. It describes 1D and 2D assignment approaches to parallelizing matrix-vector multiplication across multiple processors. 1D assignment distributes the rows of the matrix and vector across processors, while 2D assignment distributes them in a 2D grid. It also outlines map-reduce approaches to parallelizing vector-matrix and matrix-matrix multiplication, breaking the problems into mapping and reducing stages.
Introduction to Map-Reduce Programming with HadoopDilum Bandara
This document provides an overview of MapReduce programming with Hadoop, including descriptions of HDFS architecture, examples of common MapReduce algorithms (word count, mean, sorting, inverted index, distributed grep), and how to write MapReduce clients and customize parts of the MapReduce job like input/output formats, partitioners, and distributed caching of files.
This document discusses embarrassingly parallel problems and the MapReduce programming model. It provides examples of MapReduce functions and how they work. Key points include:
- Embarrassingly parallel problems can be easily split into independent parts that can be solved simultaneously without much communication. MapReduce is well-suited for these types of problems.
- MapReduce involves two functions - map and reduce. Map processes a key-value pair to generate intermediate key-value pairs, while reduce merges all intermediate values associated with the same intermediate key.
- Implementations like Hadoop handle distributed execution, parallelization, data partitioning, and fault tolerance. Users just provide map and reduce functions.
Data-Level Parallelism in MicroprocessorsDilum Bandara
1. The document discusses data-level parallelism and summarizes vector architectures, SIMD instruction sets, and graphics processing units (GPUs). 2. It describes vector architectures like VMIPS that can perform operations on sets of data elements via vector registers. 3. It also explains how SIMD extensions like SSE exploit fine-grained data parallelism and how GPUs are optimized for data-parallel applications through a multithreaded SIMD execution model.
Instruction Level Parallelism – Hardware Techniques such as Branch prediction (Static and Dynamic Branch Prediction).
Tomasulo Algorithm and Multithreading.
CPU Pipelining and Hazards - An IntroductionDilum Bandara
Pipelining is a technique used in computer architecture to overlap the execution of instructions to increase throughput. It works by breaking down instruction execution into a series of steps and allowing subsequent instructions to begin execution before previous ones complete. This allows multiple instructions to be in various stages of completion simultaneously. Pipelining improves performance but introduces hazards such as structural, data, and control hazards that can reduce the ideal speedup if not addressed properly. Control hazards due to branches are particularly challenging to handle efficiently.
Advanced Computer Architecture – An IntroductionDilum Bandara
Introduction to advanced computer architecture, including classes of computers,
Instruction set architecture, Trends, Technology, Power and energy
Cost
Principles of computer design
WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...Luigi Fugaro
Vector databases are transforming how we handle data, allowing us to search through text, images, and audio by converting them into vectors. Today, we'll dive into the basics of this exciting technology and discuss its potential to revolutionize our next-generation AI applications. We'll examine typical uses for these databases and the essential tools
developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
DevOps Consulting Company | Hire DevOps Servicesseospiralmantra
Spiral Mantra excels in providing comprehensive DevOps services, including Azure and AWS DevOps solutions. As a top DevOps consulting company, we offer controlled services, cloud DevOps, and expert consulting nationwide, including Houston and New York. Our skilled DevOps engineers ensure seamless integration and optimized operations for your business. Choose Spiral Mantra for superior DevOps services.
https://www.spiralmantra.com/devops/
Odoo releases a new update every year. The latest version, Odoo 17, came out in October 2023. It brought many improvements to the user interface and user experience, along with new features in modules like accounting, marketing, manufacturing, websites, and more.
The Odoo 17 update has been a hot topic among startups, mid-sized businesses, large enterprises, and Odoo developers aiming to grow their businesses. Since it is now already the first quarter of 2024, you must have a clear idea of what Odoo 17 entails and what it can offer your business if you are still not aware of it.
This blog covers the features and functionalities. Explore the entire blog and get in touch with expert Odoo ERP consultants to leverage Odoo 17 and its features for your business too.
An Overview of Odoo ERP
Odoo ERP was first released as OpenERP software in February 2005. It is a suite of business applications used for ERP, CRM, eCommerce, websites, and project management. Ten years ago, the Odoo Enterprise edition was launched to help fund the Odoo Community version.
When you compare Odoo Community and Enterprise, the Enterprise edition offers exclusive features like mobile app access, Odoo Studio customisation, Odoo hosting, and unlimited functional support.
Today, Odoo is a well-known name used by companies of all sizes across various industries, including manufacturing, retail, accounting, marketing, healthcare, IT consulting, and R&D.
The latest version, Odoo 17, has been available since October 2023. Key highlights of this update include:
Enhanced user experience with improvements to the command bar, faster backend page loading, and multiple dashboard views.
Instant report generation, credit limit alerts for sales and invoices, separate OCR settings for invoice creation, and an auto-complete feature for forms in the accounting module.
Improved image handling and global attribute changes for mailing lists in email marketing.
A default auto-signature option and a refuse-to-sign option in HR modules.
Options to divide and merge manufacturing orders, track the status of manufacturing orders, and more in the MRP module.
Dark mode in Odoo 17.
Now that the Odoo 17 announcement is official, let’s look at what’s new in Odoo 17!
What is Odoo ERP 17?
Odoo 17 is the latest version of one of the world’s leading open-source enterprise ERPs. This version has come up with significant improvements explained here in this blog. Also, this new version aims to introduce features that enhance time-saving, efficiency, and productivity for users across various organisations.
Odoo 17, released at the Odoo Experience 2023, brought notable improvements to the user interface and added new functionalities with enhancements in performance, accessibility, data analysis, and management, further expanding its reach in the market.
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
Are you ready to unlock the secrets hidden within Java thread dumps? Join us for a hands-on session where we'll delve into effective troubleshooting patterns to swiftly identify the root causes of production problems. Discover the right tools, techniques, and best practices while exploring *real-world case studies of major outages* in Fortune 500 enterprises. Engage in interactive lab exercises where you'll have the opportunity to troubleshoot thread dumps and uncover performance issues firsthand. Join us and become a master of Java thread dump analysis!
Transforming Product Development using OnePlan To Boost Efficiency and Innova...OnePlan Solutions
Ready to overcome challenges and drive innovation in your organization? Join us in our upcoming webinar where we discuss how to combat resource limitations, scope creep, and the difficulties of aligning your projects with strategic goals. Discover how OnePlan can revolutionize your product development processes, helping your team to innovate faster, manage resources more effectively, and deliver exceptional results.
Boost Your Savings with These Money Management AppsJhone kinadey
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
Manyata Tech Park Bangalore_ Infrastructure, Facilities and Morenarinav14
Located in the bustling city of Bangalore, Manyata Tech Park stands as one of India’s largest and most prominent tech parks, playing a pivotal role in shaping the city’s reputation as the Silicon Valley of India. Established to cater to the burgeoning IT and technology sectors
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
Explore "The Rising Future of CPaaS in the Middle East in 2024" with this comprehensive PPT presentation. Discover how Communication Platforms as a Service (CPaaS) is transforming communication across various sectors in the Middle East.
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Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
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Writing Concurrent Programs
1. Writing Concurrent Programs
Using Basic Constructs
CS4532 Concurrent Programming
Dilum Bandara
Dilum.Bandara@uom.lk
Some sides adapted from Dr. Srinath Perera, WSO2 and
“The Art of Multiprocessor Programming” by Maurice Herlihy & Nir Shavit Slightly
3. Why Concurrent Programming is
Hard?
Threads/processes often need to share data
Data consistency
Enforced through critical sections/atomic operations
E.g., preventing race conditions
Cooperation (synchronization)
Control the way programs makes progress
E.g., producer consumer problem
This is complicated by lack of timing
guarantees
Cache misses, page faults, context switches
Threads are scheduled by OS or thread library
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Source: www.grype.ca
5. Mutual Exclusion & Synchronization
Mutual Exclusion
Ensure at most 1 thread can be in critical section at
any given time
Achieved via Atomic Operations
Use Locks, Monitors, & Mutexs
Synchronization
Making sure different threads are in sync with each
other
E.g, producer consumer problem, reads & writers problem
Use Semaphores & some patterns
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6. Withdraw Problem with Locks –
Alice & Bob have a shared account
int ac1 = 200;
int ac2 = 100;
Alice:
if(ac1 >= 100){
ac1 = ac1 - 100;
}
Print (balance)
Bob:
if(ac1 >= 100){
ac1 = ac1 - 100;
}
Print (balance)
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7. Alice & Bob have 2 shared accounts,
how to extend above to 2 accounts?
int ac1 = 200;
int ac2 = 100;
Alice:
if(ac1 >= 100){
ac1 = ac1 - 100;
}
if(ac2 >= 100){
ac2 = ac2 - 100;
}
Print (balance)
Bob:
if(ac1 >= 100){
ac1 = ac1 - 100;
}
if(ac2 >= 100){
ac2 = ac2 - 100;
}
Print (balance) 7
8. Withdraw Problem with Monitors
Account{
int balance;
void synchronized withdraw(int amount){
if(balance >= amount){
balance = balance - amount;
}
}
}
“Synchronized” keyword of Java does the same thing
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9. Condition Variables
Allows checking for a condition
Operations are called wait() & signal()
Idea is similar to sleep() & wakeup()
wait() & notify() in Java
Usually wake up only 1 blocked thread
Also have a broadcast(), which wakes up everyone
Threads can wait by calling wait()
1 of them is released when signal() is called
Once signaled, the event is lost
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10. Exercise – Condition Variables
Write a program so that program will always
print A before B, using condition variable(s)
i.e., wait() & notify()
Thread 1 Thread 2
Print A Print B
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11. Exercise – Condition Variables (Cont.)
CV cv;
Thread 1 Thread 2
Print A cv.wait()
cv.notify() Print B
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Will this work?
What if notify() before wait()?
12. Exercise – Condition Variables (Cont.)
CV cv;
Lock l;
Boolean done = False;
Thread 1 Thread 2
Print A l.lock()
l.lock() if(!done)
done = True cv.wait()
l.unlock() l.unlock()
cv.notify() Print B
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Is the lock essential?
Will this work?
13. Exercise – Condition Variables (Cont.)
CV cv;
Lock l;
Boolean done = False;
Thread 1 Thread 2
Print A Synchronized {
Synchronized { if(!done)
done = True cv.wait()
} }
cv.notify() Print B
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Is the lock essential?
Will this work?
14. Implement a Semaphore with Locks &
Condition Variables
up(){
synchronized(){
val++;
if (val <= 0){
cv.signal();
}
}
}
down(){
synchronized(){
val--;
if(val < 0){
cv.wait();
}
}
}
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CV cv;
int val = 0;
Will this work?
15. Parallel Program Design
Is signaling required?
Decide what semaphores you need, if any
Decide any state you need
What states need mutual exclusion?
Problem state vs. signaling state
Write program
Test by considering different scenarios
Sequential case & concurrent case
Any race conditions & deadlocks?
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