The document discusses various topics related to thread management in Java including:
1. Creating and running threads by extending the Thread class or implementing Runnable.
2. Getting and setting thread information like ID, name, priority and status.
3. Interrupting, sleeping, resuming threads and waiting for thread finalization using join().
4. Creating and using daemon threads.
5. Handling unchecked exceptions in threads and using thread-local variables.
6. Grouping threads into thread groups and handling exceptions in a thread group.
7. Implementing a thread factory to centralize thread object creation.
Java has a solid Memory Model, and there are a couple of excellent libraries for concurrency. When you start working with threads however, pitfalls start appearing - especially if the program is supposed to be fast and correct. This session shows proven solutions for some typical problems, showing how to view program code from a concurrency perspective: Which threads share which data, and how? How to reduce the impact of locks? How to avoid them altogether - and when is that worth it?
Aim of this presentation is not to make you masters in Java 8 Concurrency, but to help you guide towards that goal. Sometimes it helps just to know that there is some API that might be suitable for a particular situation. Make use of the pointers given to search more and learn more on those topics. Refer to books, Java API Documentation, Blogs etc. to learn more. Examples and demos for all cases discussed will be added to my blog www.javajee.com.
Java Concurrency, Memory Model, and TrendsCarol McDonald
This document discusses concurrency in Java. It covers benefits and risks of threads, goals of concurrency utilities in Java, examples of executor services and thread pools, and best practices for thread safety including using immutable objects, atomic variables, and concurrent collections.
This document provides an overview of Java concurrency and thread synchronization. It discusses synchronizing methods, arranging independent attributes, using conditions, synchronizing with locks, read/write locks, lock fairness, and multiple conditions. Examples include synchronizing access to bank accounts, cinema ticket sales, a producer-consumer problem, and a print queue simulation. Key synchronization mechanisms in Java include the synchronized keyword, Lock interface, and Condition interface.
Java concurrency allows applications to make use of multiple processors and handle asynchronous operations through the use of threads. While concurrency provides benefits like improved performance, it also introduces risks like race conditions and deadlocks if threads access shared resources unsafely. The Java threading APIs provide tools for safely managing concurrent operations through mechanisms like synchronization, locks, and concurrent collections.
Lecture 10 from the IAG0040 Java course in TTÜ.
See the accompanying source code written during the lectures: https://github.com/angryziber/java-course
Modern Java concurrency has undergone significant changes since Java 5 with the introduction of java.util.concurrent (j.u.c.). While concurrency is not a new subject, j.u.c. provides constructs like ReentrantLock, ConcurrentHashMap, and Executors that make concurrent programming easier compared to traditional approaches. However, many applications still use older concurrency approaches despite j.u.c. being faster and more refined in recent Java versions. The document advocates upgrading applications to take advantage of modern concurrency features.
The document discusses key concepts related to threads and concurrency in Java. It defines processes, threads, and the Java memory model. It then covers various concurrency utilities in Java like synchronized blocks, volatile fields, atomic classes, thread pools, blocking queues, and locking mechanisms like ReentrantLock. The last part discusses high-level concurrency constructs like semaphores, latches, barriers, and phaser.
Java has a solid Memory Model, and there are a couple of excellent libraries for concurrency. When you start working with threads however, pitfalls start appearing - especially if the program is supposed to be fast and correct. This session shows proven solutions for some typical problems, showing how to view program code from a concurrency perspective: Which threads share which data, and how? How to reduce the impact of locks? How to avoid them altogether - and when is that worth it?
Aim of this presentation is not to make you masters in Java 8 Concurrency, but to help you guide towards that goal. Sometimes it helps just to know that there is some API that might be suitable for a particular situation. Make use of the pointers given to search more and learn more on those topics. Refer to books, Java API Documentation, Blogs etc. to learn more. Examples and demos for all cases discussed will be added to my blog www.javajee.com.
Java Concurrency, Memory Model, and TrendsCarol McDonald
This document discusses concurrency in Java. It covers benefits and risks of threads, goals of concurrency utilities in Java, examples of executor services and thread pools, and best practices for thread safety including using immutable objects, atomic variables, and concurrent collections.
This document provides an overview of Java concurrency and thread synchronization. It discusses synchronizing methods, arranging independent attributes, using conditions, synchronizing with locks, read/write locks, lock fairness, and multiple conditions. Examples include synchronizing access to bank accounts, cinema ticket sales, a producer-consumer problem, and a print queue simulation. Key synchronization mechanisms in Java include the synchronized keyword, Lock interface, and Condition interface.
Java concurrency allows applications to make use of multiple processors and handle asynchronous operations through the use of threads. While concurrency provides benefits like improved performance, it also introduces risks like race conditions and deadlocks if threads access shared resources unsafely. The Java threading APIs provide tools for safely managing concurrent operations through mechanisms like synchronization, locks, and concurrent collections.
Lecture 10 from the IAG0040 Java course in TTÜ.
See the accompanying source code written during the lectures: https://github.com/angryziber/java-course
Modern Java concurrency has undergone significant changes since Java 5 with the introduction of java.util.concurrent (j.u.c.). While concurrency is not a new subject, j.u.c. provides constructs like ReentrantLock, ConcurrentHashMap, and Executors that make concurrent programming easier compared to traditional approaches. However, many applications still use older concurrency approaches despite j.u.c. being faster and more refined in recent Java versions. The document advocates upgrading applications to take advantage of modern concurrency features.
The document discusses key concepts related to threads and concurrency in Java. It defines processes, threads, and the Java memory model. It then covers various concurrency utilities in Java like synchronized blocks, volatile fields, atomic classes, thread pools, blocking queues, and locking mechanisms like ReentrantLock. The last part discusses high-level concurrency constructs like semaphores, latches, barriers, and phaser.
Java Multi Threading Concept
By N.V.Raja Sekhar Reddy
www.technolamp.co.in
Want more...
Like us @ https://www.facebook.com/Technolamp.co.in
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Advanced Introduction to Java Multi-Threading - Full (chok)choksheak
Designed for the beginning Java developer to grasp advanced Java multi-threading concepts quickly. Talks mainly about the Java Memory Model and the Concurrent Utilities. This presentation is Java-specific and we intentionally omit general non-Java-specific details, such as hardware architecture, OS, native threads, algorithms, and general software design principles etc.
This document discusses the evolution of Java, including new features introduced in Java 5, 6, and 7. It provides a review of 10 key features in Java 5 such as generics, autoboxing/unboxing, annotations, and new utility classes. It then describes 9 new features in Java 6, including pluggable annotation processing, common annotations, JAXB, JAX-WS, StAX, digital signatures, and the compiler API. Finally, it briefly mentions new features planned for Java 7.
The document discusses multithreading in Java, including the evolution of threading support across Java releases and examples of implementing multithreading using Threads, ExecutorService, and NIO channels. It also provides examples of how to make operations thread-safe using locks and atomic variables when accessing shared resources from multiple threads. References are included for further reading on NIO-based servers and asynchronous channel APIs introduced in Java 7.
This document discusses concepts related to threads and concurrency in Java. It begins by defining processes and threads, explaining that processes contain threads. It then covers key threading concepts like thread pools, synchronization, and data management between threads. The document provides examples of why threads are used and best practices for writing threaded code in Java. It also discusses common threading issues like deadlocks and race conditions and how to avoid them.
Every Java developer knows that multithreading is the root of all evil and it is quite hard to write correct code for concurrent environment. But what tasks do exist in real commercial development except running code in asynchronous way?
In this talk I will present several tasks from my real projects and solutions we designed for them. This talk is very application oriented and allows participants to extend their vision of concurrent programming.
This document provides an introduction to concurrency in Java programming. It discusses modifying a word counting program to run in parallel using threads. It covers thread safety, critical sections, synchronized blocks and methods, lock objects, and other concurrency concepts in Java like volatile fields and deadlocks. The document uses examples to illustrate how to design thread-safe classes and properly synchronize access to shared resources between multiple threads.
At first glance, writing concurrent programs in Java seems like a straight-forward task. But the devil is in the detail. Fortunately, these details are strictly regulated by the Java memory model which, roughly speaking, decides what values a program can observe for a field at any given time. Without respecting the memory model, a Java program might behave erratic and yield bugs that only occure on some hardware platforms. This presentation summarizes the guarantees that are given by Java's memory model and teaches how to properly use volatile and final fields or synchronized code blocks. Instead of discussing the model in terms of memory model formalisms, this presentation builds on easy-to follow Java code examples.
This session discusses about the basic building blocks of Concurrent Programming in Java, which include:
synchronisation part 2, synchronized methods, intrinsic locks, atomic access, liveness, deadlock, starvation, livelock, guarded blocks, immutable objects, synchronized class example, strategy for defining immutable objects
This session discusses about the basic building blocks of Concurrent Programming in Java, which include:
high-level concurrency objects, lock objects, executors, executor interfaces, thread pools, fork/join, concurrent collections, atomic variables, concurrent random numbers.
This document provides an introduction to multithreading concepts. It discusses using multiple threads to allow a bouncing ball animation program to start new balls even while others are still bouncing. It covers the basics of creating and running threads, including defining a runnable class and starting new threads. It also discusses key threading issues like thread states, scheduling, synchronization, and suspending/stopping threads.
This presentation is about advanced multithreading and concurrency in Java. I have tried my best to explain the concepts with code. Feel free to reach me if you have any questions or concerns.
Java Multithreading Using Executors FrameworkArun Mehra
This document provides an overview of using executors to handle multithreading in Java. It discusses key classes and interfaces in the executors framework like Executor, ExecutorService, and Executors. Common thread pools like fixed thread pool and cached thread pool are mentioned. The document also summarizes techniques for naming threads, returning values from threads, creating daemon threads, checking thread status, terminating threads, and handling uncaught exceptions using both the thread and executor APIs. Finally, it covers scheduling tasks using both the timer/timerTask classes and executor service.
This document discusses various programming paradigms and concurrency concepts in Java. It covers single and multi-process programming, multi-threading, processes, threads, synchronization, deadlocks, and strategies for designing objects to be thread-safe such as immutability, locking, and containment. It also summarizes high-level concurrency utilities in Java like locks, executors, concurrent collections, and atomic variables.
The document discusses concurrency programming in Java. It covers the scope of concurrency including multi-threading, multi-core, and distributed systems. It then discusses key aspects of concurrency programming like shared data/coordination for correctness and performance. It provides examples of thread-safety issues and how to address them using locks, volatile fields, and final fields to safely publish objects between threads.
The document discusses common concurrency problems in Java like shared mutable state, visibility issues, inconsistent synchronization, and unsafe publication and provides examples of how to properly implement threading concepts like locking, waiting and notifying with synchronization, volatile variables, atomic classes and safe initialization techniques to avoid concurrency bugs. It also cautions against unsafe practices like synchronizing on the wrong objects or misusing threading methods that can lead to deadlocks, race conditions and other concurrency problems.
This document discusses input/output streams, error handling, and passing command line arguments in Java. It covers the basics of reading from and writing to files, the console, and networks using input/output streams. It also discusses how to handle exceptions using try/catch blocks and how to pass command line arguments to a Java program that will be stored in the main method's String array.
The document discusses querying data with Hibernate. It describes the steps involved which include creating the query, binding parameters, and executing it. It provides examples of using named parameters and positional parameters. It also covers iterating through results, scrolling result sets, defining named queries, and basic query clauses for selection and restriction.
This document provides a summary of core Java concurrency concepts and constructs in 3 sentences or less:
Core Java concurrency concepts like the Java Memory Model, monitors, locks, volatile fields, and safe publication are discussed. Common concurrency utilities are covered, including atomic classes, thread locals, concurrent collections like concurrent maps and queues, and synchronization primitives like locks. The document provides examples and explanations of how to apply these concepts and constructs to write correctly synchronized and thread-safe Java applications.
This document discusses concurrency utilities introduced in Java 8 including parallel tasks, parallel streams, parallel array operations, CompletableFuture, ConcurrentHashMap, scalable updatable variables, and StampedLock. It provides examples and discusses when and how to properly use these utilities as well as potential performance issues. Resources for further reading on Java concurrency are also listed.
Java Multi Threading Concept
By N.V.Raja Sekhar Reddy
www.technolamp.co.in
Want more...
Like us @ https://www.facebook.com/Technolamp.co.in
subscribe videos @ http://www.youtube.com/user/nvrajasekhar
Advanced Introduction to Java Multi-Threading - Full (chok)choksheak
Designed for the beginning Java developer to grasp advanced Java multi-threading concepts quickly. Talks mainly about the Java Memory Model and the Concurrent Utilities. This presentation is Java-specific and we intentionally omit general non-Java-specific details, such as hardware architecture, OS, native threads, algorithms, and general software design principles etc.
This document discusses the evolution of Java, including new features introduced in Java 5, 6, and 7. It provides a review of 10 key features in Java 5 such as generics, autoboxing/unboxing, annotations, and new utility classes. It then describes 9 new features in Java 6, including pluggable annotation processing, common annotations, JAXB, JAX-WS, StAX, digital signatures, and the compiler API. Finally, it briefly mentions new features planned for Java 7.
The document discusses multithreading in Java, including the evolution of threading support across Java releases and examples of implementing multithreading using Threads, ExecutorService, and NIO channels. It also provides examples of how to make operations thread-safe using locks and atomic variables when accessing shared resources from multiple threads. References are included for further reading on NIO-based servers and asynchronous channel APIs introduced in Java 7.
This document discusses concepts related to threads and concurrency in Java. It begins by defining processes and threads, explaining that processes contain threads. It then covers key threading concepts like thread pools, synchronization, and data management between threads. The document provides examples of why threads are used and best practices for writing threaded code in Java. It also discusses common threading issues like deadlocks and race conditions and how to avoid them.
Every Java developer knows that multithreading is the root of all evil and it is quite hard to write correct code for concurrent environment. But what tasks do exist in real commercial development except running code in asynchronous way?
In this talk I will present several tasks from my real projects and solutions we designed for them. This talk is very application oriented and allows participants to extend their vision of concurrent programming.
This document provides an introduction to concurrency in Java programming. It discusses modifying a word counting program to run in parallel using threads. It covers thread safety, critical sections, synchronized blocks and methods, lock objects, and other concurrency concepts in Java like volatile fields and deadlocks. The document uses examples to illustrate how to design thread-safe classes and properly synchronize access to shared resources between multiple threads.
At first glance, writing concurrent programs in Java seems like a straight-forward task. But the devil is in the detail. Fortunately, these details are strictly regulated by the Java memory model which, roughly speaking, decides what values a program can observe for a field at any given time. Without respecting the memory model, a Java program might behave erratic and yield bugs that only occure on some hardware platforms. This presentation summarizes the guarantees that are given by Java's memory model and teaches how to properly use volatile and final fields or synchronized code blocks. Instead of discussing the model in terms of memory model formalisms, this presentation builds on easy-to follow Java code examples.
This session discusses about the basic building blocks of Concurrent Programming in Java, which include:
synchronisation part 2, synchronized methods, intrinsic locks, atomic access, liveness, deadlock, starvation, livelock, guarded blocks, immutable objects, synchronized class example, strategy for defining immutable objects
This session discusses about the basic building blocks of Concurrent Programming in Java, which include:
high-level concurrency objects, lock objects, executors, executor interfaces, thread pools, fork/join, concurrent collections, atomic variables, concurrent random numbers.
This document provides an introduction to multithreading concepts. It discusses using multiple threads to allow a bouncing ball animation program to start new balls even while others are still bouncing. It covers the basics of creating and running threads, including defining a runnable class and starting new threads. It also discusses key threading issues like thread states, scheduling, synchronization, and suspending/stopping threads.
This presentation is about advanced multithreading and concurrency in Java. I have tried my best to explain the concepts with code. Feel free to reach me if you have any questions or concerns.
Java Multithreading Using Executors FrameworkArun Mehra
This document provides an overview of using executors to handle multithreading in Java. It discusses key classes and interfaces in the executors framework like Executor, ExecutorService, and Executors. Common thread pools like fixed thread pool and cached thread pool are mentioned. The document also summarizes techniques for naming threads, returning values from threads, creating daemon threads, checking thread status, terminating threads, and handling uncaught exceptions using both the thread and executor APIs. Finally, it covers scheduling tasks using both the timer/timerTask classes and executor service.
This document discusses various programming paradigms and concurrency concepts in Java. It covers single and multi-process programming, multi-threading, processes, threads, synchronization, deadlocks, and strategies for designing objects to be thread-safe such as immutability, locking, and containment. It also summarizes high-level concurrency utilities in Java like locks, executors, concurrent collections, and atomic variables.
The document discusses concurrency programming in Java. It covers the scope of concurrency including multi-threading, multi-core, and distributed systems. It then discusses key aspects of concurrency programming like shared data/coordination for correctness and performance. It provides examples of thread-safety issues and how to address them using locks, volatile fields, and final fields to safely publish objects between threads.
The document discusses common concurrency problems in Java like shared mutable state, visibility issues, inconsistent synchronization, and unsafe publication and provides examples of how to properly implement threading concepts like locking, waiting and notifying with synchronization, volatile variables, atomic classes and safe initialization techniques to avoid concurrency bugs. It also cautions against unsafe practices like synchronizing on the wrong objects or misusing threading methods that can lead to deadlocks, race conditions and other concurrency problems.
This document discusses input/output streams, error handling, and passing command line arguments in Java. It covers the basics of reading from and writing to files, the console, and networks using input/output streams. It also discusses how to handle exceptions using try/catch blocks and how to pass command line arguments to a Java program that will be stored in the main method's String array.
The document discusses querying data with Hibernate. It describes the steps involved which include creating the query, binding parameters, and executing it. It provides examples of using named parameters and positional parameters. It also covers iterating through results, scrolling result sets, defining named queries, and basic query clauses for selection and restriction.
This document provides a summary of core Java concurrency concepts and constructs in 3 sentences or less:
Core Java concurrency concepts like the Java Memory Model, monitors, locks, volatile fields, and safe publication are discussed. Common concurrency utilities are covered, including atomic classes, thread locals, concurrent collections like concurrent maps and queues, and synchronization primitives like locks. The document provides examples and explanations of how to apply these concepts and constructs to write correctly synchronized and thread-safe Java applications.
This document discusses concurrency utilities introduced in Java 8 including parallel tasks, parallel streams, parallel array operations, CompletableFuture, ConcurrentHashMap, scalable updatable variables, and StampedLock. It provides examples and discusses when and how to properly use these utilities as well as potential performance issues. Resources for further reading on Java concurrency are also listed.
Carol McDonald gave a presentation on Java concurrency utilities introduced in J2SE 5.0. She discussed motivation for improved concurrency tools, common concurrency issues, and key utilities like Executor framework, locks, synchronizers, and concurrent collections. The utilities make concurrent programming easier and improve performance of multithreaded Java applications.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
This document summarizes a presentation about concurrency models beyond what is available in Java. It discusses share-state concurrency using locks and synchronization in Java. It also covers share-nothing concurrency using the actor model and message passing. Additionally, it discusses software transactional memory and data-flow concurrency. The presentation provides examples and case studies of applying these different concurrency approaches.
The document discusses threads and multithreading in Java. It defines a thread as a single sequential flow of control within a program. Multithreading allows a program to be divided into multiple subprograms that can run concurrently. Threads have various states like newborn, runnable, running, blocked, and dead. The key methods for managing threads include start(), sleep(), yield(), join(), wait(), notify(). Synchronization is needed when multiple threads access shared resources to prevent inconsistencies. Deadlocks can occur when threads wait indefinitely for each other.
The document discusses input/output streams in Java. It covers:
- Different types of data storage including transient RAM and persistent storage like disks.
- I/O sources and destinations like consoles, disks, networks etc. and how streams represent sequential bytes to abstract I/O details.
- Common Java I/O stream classes like FileReader, FileWriter, InputStream and OutputStream for reading/writing text and binary data from files.
- Using File class to represent files and directories with methods to check attributes, read content and manipulate files.
The document discusses multithreading concepts like concurrency and threading, how to create and control threads including setting priorities and states, and how to safely share resources between threads using synchronization, locks, and wait/notify methods to avoid issues like deadlocks. It also covers deprecated thread methods and increased threading support in JDK 1.5.
Multithreading allows programs to have multiple threads that can run concurrently. Each thread defines a separate path of execution. Processes are programs that are executing, while threads exist within a process and share its resources. Creating a new thread requires fewer resources than creating a new process. There are two main ways to define a thread - by implementing the Runnable interface or by extending the Thread class.
The document discusses various aspects of threads in Java such as the join method, which allows one thread to wait for another to finish executing; setting thread priorities and daemon status; using thread pools for better performance; and shutdown hooks, which allow code to run when the JVM shuts down. It also covers thread groups for managing multiple threads and risks associated with thread pools such as deadlocks if tasks wait on each other.
This document provides an overview of multithreading programming in Java. It discusses key concepts like threads, the thread life cycle, creating threads by extending Thread or implementing Runnable, setting thread priorities, and synchronization. Multithreading allows concurrent execution to maximize CPU utilization and is commonly used for games, animations, and other applications requiring parallel processing. Synchronization is needed to prevent issues when multiple threads access shared resources concurrently.
The document discusses threads and multithreading in Java. It defines a thread as a single sequential flow of control that runs within the address space of a process. It notes that threads allow programs to accomplish multiple simultaneous tasks. The document then covers thread states, priorities, synchronization, and provides examples of a producer-consumer problem implemented with and without synchronization.
The document discusses multithreading in Java. It covers the basics of multithreading including main threads, thread life cycles, creating multiple threads, thread priorities, synchronization, and inter-thread communication. It describes the different states a thread can be in like ready, running, blocked, and terminated. It also discusses thread priorities, synchronization techniques using monitors and messaging, and how to implement threads using the Thread class and Runnable interface.
This document provides an overview of multithreading in Java. It describes how multithreading allows an application to perform multiple tasks simultaneously through the use of threads. It explains that threads allow applications to remain responsive even when long tasks are being performed. The document outlines how threads work in Java, including how to create threads using the Thread and Runnable classes, the different states threads can be in, and common concurrency issues that can arise with multithreading like race conditions.
The document discusses threads and multithreading in Java. It defines a thread as a flow of execution with a beginning, execution sequence, and end. Multithreading allows multiple threads to run simultaneously within a single program. It describes how to create threads by extending the Thread class or implementing Runnable. The document also discusses thread states, priorities, synchronization, and race conditions that can occur when multiple threads access shared data.
This document discusses multithreading in Java. It begins by explaining that multithreading allows multiple tasks to be performed concurrently by having each task executed in a separate thread. It then covers key topics like how threads are implemented in Java using the Thread class and Runnable interface, how to create and manage threads, common thread states, ensuring thread safety through synchronization, and techniques to improve synchronization performance.
Thread is the basic unit of CPU utilization in an operating system. A single-threaded process can only perform one task at a time, while a multithreaded process can perform multiple tasks simultaneously using threads. Java uses the Thread class and Runnable interface to create and manage threads. The main thread is created automatically, while additional threads can be instantiated by implementing Runnable or extending Thread. Synchronization is needed when threads share resources to prevent race conditions.
This document discusses multithreading in Java. It defines multithreading as having multiple points of execution within the same memory space that can share access to resources. The key benefits of multithreading are that applications can perform multiple tasks simultaneously and remain responsive even when long tasks are being performed. The document outlines how threads are implemented in Java using the Thread class and Runnable interface, and discusses concepts like thread states, priorities, and concurrency issues that must be addressed.
This document discusses Java multithreading. It begins by outlining the objectives of understanding multithreading, Java's mechanism, concurrency issues, and synchronized access. It then explains that multithreading allows multiple threads to run simultaneously within a process's memory space. Finally, it covers key topics like creating and running threads, thread states, priorities, and ensuring thread-safe access to shared resources through synchronization.
This document discusses Java multithreading. It explains that multithreading allows an application to have multiple points of execution within the same memory space. It outlines how Java supports multithreading through the Thread class and Runnable interface. It also describes concurrency issues that can arise from multithreading, such as race conditions, and how to address them using techniques like synchronized access and locking.
This document discusses multithreading in Java. It explains that multithreading allows an application to have multiple points of execution within the same memory space. This improves responsiveness by allowing tasks to be performed concurrently rather than sequentially. The document outlines how threads are implemented in Java using the Thread class and Runnable interface, and discusses issues like concurrency, shared resources, thread states, priorities and synchronization.
Threads allow multiple tasks to run concurrently within a single process. Each thread has its own call stack and shares resources like memory with other threads in the same process. There are two main ways to implement threads in Java - by extending the Thread class or implementing the Runnable interface. Synchronization is needed when multiple threads access shared resources to prevent data corruption. Common methods like start(), join(), sleep() and priority help control thread execution and behavior.
This presentation will give a brief idea about threads.
This presentation gives you what is required if you are a starter.
This has the lifecycle, multithreading and differences between multithreadind and normal threading.
This presentation even have example programs.
This document discusses multithreading in Java. It defines threads as lightweight processes that exist within a process and share its resources. The main thread is executed when a Java program begins. Additional threads can be created by implementing the Runnable interface or extending the Thread class. Synchronization is needed when threads access shared resources to prevent interference. Methods can be synchronized to allow only one thread to access them at a time. The wait(), notify(), and notifyAll() methods allow threads to communicate about locked resources. Deadlocks can occur when threads have a circular dependency on locks. The Java concurrency utilities provide additional tools for multithreaded programming.
The document discusses multithreading concepts in Java, including:
- Multithreading allows multiple tasks in a program to run concurrently by using threads. Threads are lightweight sub-processes that can run tasks independently and in parallel.
- There are two main ways to create threads in Java: by extending the Thread class or implementing the Runnable interface. The run() method specifies the task to be performed by the thread.
- Thread states include new, ready, running, blocked, and terminated. Thread methods like start(), join(), sleep(), yield(), interrupt() control thread execution and synchronization.
This document discusses multithreading and generic programming in Java. It covers thread concepts like thread life cycle, creating threads by extending Thread class and implementing Runnable interface. It provides examples of multithreading in applications. Generic programming concepts like generic classes and methods are also briefly introduced. The key outcomes are to develop Java applications using threads and generics.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
2. All content
1. Basic thread management
2. Thread synchronization mechanisms
3. Thread creation and management
delegation with executors
4. Fork/Join farmework to enhance the
performance of your application
5. Data structures for concurrent programs
6. Adapting the default behavior of some
concurrency classes to your needs
7. Testing Java concurrency applications
3. In this chapter, we will cover:
● Creating and running a thread
● Getting and setting thread information
● Interrupting a thread
● Controlling the interruption of a thread
● Sleeping and resuming a thread
● Waiting for the finalization of a thread
● Creating and running a daemon thread
● Processing uncontrolled exceptions in a
thread
● Using local thread variables
4. ● Grouping threads into a group
● Processing uncontrolled exceptions in a
group of threads
● Creating threads through a factory
5. Creating and running a thread
Threads are Objects. We have two ways of
creating a thread in Java:
● Extending the Thread class and overriding
the run() method
● Building a class that implements the
Runnable interface and then creating an
object of the Thread class passing the
Runnable object as a parameter
6. Creates and runs 10 threads.
Each thread calculates and prints the
mutiplication table of a number between 1 and
10.
11. There’s more...
You can implement a class that extends
Thread class and overrides the run()
method of this class.
Call the start() method to have a new
execution thread.
12. Getting and setting thread
information
The Thread class saves some infomation
attributes that can help us to identify a thread:
● ID: A unique identifier for each Thread.
● Name
● Proiority: The priority of the Thread
objects.
value ∈ [1, 10] (low-->high)
IllegalArgumentException
Not recommended to change, but you can use
if you want.
13. ● Status: Thread can be in one of these six
states (new, runnable, blocked,
waiting, time watiing,
terminated)
You can’t modify the ID and stauts of a thread.
14. Develop a program that establishes the name
and priority for 10 threads, and then show
information about their status until they finish.
22. Interrupting a thread
Finish a program:
● All its non-daemon threads end its
execution.
● One of the threads use the System.exit()
method.
Interruption mechanism
23. Interruption mechanism
Thread has to:
● Check if it has been interrupted or not.
● Decide if it responds to the finalization
request or not.
Thread can ignore it and continue with its
execution.
24. Develop a program that creates Thread and,
after 5 seconds, will force its finalization using
the interruption mechanism.
28. There’s more...
The Thread class has another method to
check whether Thread has been interrupted or
not.
Thread.interrupted()
29. Difference: isInterrupted() and
interrupted()
● interrupted() is static and checks the
current thread.
● isInterrupted() is an instance method
which checks the Thread object that it is
called on.
NOTE:
The second one doesn’t change the
interrupted attribute value, but the first one
set it to false.
33. Controlling the interruption of a
thread
InterruptedException: A better
mechanism to control the interruption of the
thread.
Detect and throw this exception and catch in
the run() method.
34. We will implement Thread that looks for files
with a determined name in a
folder and in all its subfolders to show how to
use the InterruptedException exception
to control the interruption of a thread.
42. Sleeping and resuming a thread
A thread in a program checks a sensor state
once per minute. The rest of the time, the
thread does nothing.
● Thread.sleep()
● TimeUnit.SECONDS.sleep()
43. We will develop a program that uses the
sleep() method to write the actual
date every second.
47. When Thread is sleeping and is interrupted,
the method throws an
InterruptedException
exception immediately and doesn't wait until the
sleeping time finishes.
48. Waiting for the finalization of a
thread
We can use the join() method of the Thread
class.
When we call this method using a thread
object, it suspends the execution of the calling
thread until the object called finishes its
execution.
49. join()
public final void join()
throws InterruptedException
Waits for this thread to die.
join() ==> join(0)
Throws:
InterruptedException - if any thread has
interrupted the current thread. The interrupted
status of the current thread is cleared when this
exception is thrown.
54. If the object thread1 has the code, thread1.
join(1000), the thread2 suspends its
execution until one of these two conditions is
true:
● thread1 finishes its execution
● 1000 milliseconds have been passed
When one of these two conditions is true, the
join() method returns.
57. Creating and running a daemon
thread
Java has a special kind of thread called
daemon thread.
What is daemon thread?
58. Daemon thread
● Very low priority.
● Only executes when no other thread of the
same program is running.
● JVM ends the program finishing these
threads, when daemon threads are the only
threads running in a program.
59. What does daemon thread used for...
Normally used as service providers for normal
threads.
Usually have an infinite loop that waits for the
service request or performs the tasks of the
thread.
They can’t do important jobs.
Example: The java garbage collector.
60. Developing an example with two threads:
● One user thread that writes events on a
queue.
● One daemon thread that cleans the queue,
removing the events which were generated
more than 10 seconds age.
67. How it works...
If you analyze the output of one execution of
the program, you can see how the queue
begins
to grow until it has 30 events and then, its size
will vary between 27 and 30 events until the
end of the execution.
71. How to find out the reason...
● Modify the run() method of WriteTask,
make it easy to distinguish each element.
● Add a scanner, list all element of this deque.
76. Find out the reason...
● ArrayDeque: Not thread-safe
● We can use LinkedBlockingDeque…
Deque<Event> deque = new
LinkedBlockingDeque<Event>();
77. There’s more...
● You only call the setDaemon() method
before you call the start() method. Once
the thread is running, you can’t modify its
daemon status.
● Use isDaemon() method to check if a
thread is a daemon thread or a user thread.
78. Difference between Daemon and
Non Daemon thread in Java :
● JVM doesn't wait for any daemon thread to
finish before existing.
● Daemon Thread are treated differently than
User Thread when JVM terminates, finally
blocks are not called, Stacks are not
unwounded and JVM just exits.
79. Processing uncontrolled exceptions
in a thread
There are two kinds of exceptions in Java:
● Checked exceptions
IOException
ClassNotFoundException
URLReferenceException
● Unchecked exceptions
NumberFormatException
ClassCastException
NullPointException
80. Exceptions in run() method:
● Checked exception:
We have to catch and treat them, because
the run() method doesn't accept a throws
clause.
● Unchecked exception:
A mechanism to catch and treat the
unchecked exceptions.
The default behaviour is to write the stack
trace in the console and exit the program.
87. When an uncaught exception is
thrown in Thread...
JVM looks for…
1. The uncaught exception handler of the
Thread objects.
2. The uncaught exception handler for
ThreadGroup of the Thread objects.
3. The default uncaught exception handler.
None handlers…
The JVM writes the stack trace of the exception
and exits.
88. Using local thread variables
One of the most critical aspects of a concurrent
application is shared data.
If you change an attribute in a thread, all the
threads will be affected by this change.
The Java Concurrency API provides a clean
mechanism called thread-local variables with a
very good performance.
89. We will develop a program that has the
problem and another program using the thread-
local variables mechanism.
96. There’s more...
● protected T initialValue()
● public T get()
● public void set(T value)
● public void remove()
● InheritableThreadLocal
● childValue()
97. InheritableThreadLocal
It provides inheritance of values for threads
created from a thread.
You can override the childValue() method
that is called to initialize the value of the child
thread in the thread-local variable.
101. Grouping threads into a group
ThreadGroup: The threads of a group as a
single unit.
A threadGroup object can be formed by
Thread objects and by another ThreadGroup
object.
A tree structure of threads.
102. Simulating a search...
We will have 5 threads sleeping during a
random period of time, when one of them
finishes, we are going to interrupt the rest.
110. Processing uncontrolled exceptions
in a group of threads
Establish a method that captures all the
uncaught exceptions thrown by any Thread of
the ThreadGroup class.
116. Creating threads through a factory
The factory pattern in OO is a creational
pattern.
Develop an object whose creating other objects
of one or servel classes.
Instead of using the new operator.
Centralize the creation of objects.
117. Some advantages:
● It's easy to change the class of the objects
created or the way we create these objects.
● It's easy to limit the creation of objects for
limited resources. For example, we can only
have n objects of a type.
● It's easy to generate statistical data about
the creation of the objects.
118. Java provides the ThreadFactory interface to
implement a Thread Object factory.
Well will implement a ThreadFactory
interface to create Thread objects with a
personalized name while we save statistics of
the Thread objects created.
123. There’s more...
If you implement a ThreadFactory interface
to centralize the creation of threads, you have
to review the code to guarantee that all threads
are created using that factory.