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.
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.
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.
Speech in Let'Swift conference on 23, Sep 2017.
This is about various concurrency APIs in swift and async/await, actor model and debugging option.
2017년 9월 23일에 Let'Swift에서 발표한 스위프트에서 동시성에 대한 자료입니다.
현재 사용할 수 있는 다양한 API에 대해 정리해보고 앞으로 나아갈길 그리고 디버깅에 대한 이야기를 했습니다.
This document discusses common concurrency problems in Java and how to address them. It covers issues that can arise from shared mutable data being accessed without proper synchronization between threads, as well as problems related to visibility and atomicity of operations. Specific problems covered include mutable statics, double-checked locking, volatile arrays, and non-atomic operations like incrementing a long. The document provides best practices for locking, wait/notify, thread coordination, and avoiding deadlocks, spin locks, and lock contention.
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?
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.
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.
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.
Speech in Let'Swift conference on 23, Sep 2017.
This is about various concurrency APIs in swift and async/await, actor model and debugging option.
2017년 9월 23일에 Let'Swift에서 발표한 스위프트에서 동시성에 대한 자료입니다.
현재 사용할 수 있는 다양한 API에 대해 정리해보고 앞으로 나아갈길 그리고 디버깅에 대한 이야기를 했습니다.
This document discusses common concurrency problems in Java and how to address them. It covers issues that can arise from shared mutable data being accessed without proper synchronization between threads, as well as problems related to visibility and atomicity of operations. Specific problems covered include mutable statics, double-checked locking, volatile arrays, and non-atomic operations like incrementing a long. The document provides best practices for locking, wait/notify, thread coordination, and avoiding deadlocks, spin locks, and lock contention.
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?
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 Java 5 concurrency features including locks, conditions, atomic variables, blocking queues, concurrent hash maps, synchronizers like semaphores and mutexes, and the executor framework. Key points include:
- Locks provide an alternative to synchronized blocks and methods, and allow more flexible locking behavior. ReentrantLock is a common lock implementation.
- Conditions (condition variables) allow threads to wait/signal and are used with locks rather than synchronized monitors.
- Atomic variables ensure thread-safe operations on single variables without locking.
This document discusses Java bytecode manipulation techniques using unsafe, instrumentation, and Java agents. It covers areas where bytecode manipulation is commonly used like mocking, persistence, and security. It analyzes techniques for defining and transforming classes at runtime and discusses challenges like injecting state and working with modules. The document also proposes ideas to standardize testing support and provide a unified dynamic code generation concept in Java.
The document discusses several programming languages and libraries that provide concurrency constructs for parallel programming. It describes features for concurrency in Ada 95, Java, and C/C++ libraries including pthreads. Key features covered include threads, mutual exclusion locks, condition variables, and examples of implementing a bounded buffer for inter-thread communication.
This presentation is about multitasking with std::future.
Presentation by Dmytro Gurin (Lead Software Engineer, GlobalLogic, Kyiv), delivered at GlobalLogic C++ TechTalk in Lviv, September 18, 2014.
More details -
http://www.globallogic.com.ua/press-releases/lviv-cpp-techtalk-coverage
Николай Папирный Тема: "Java memory model для простых смертных"Ciklum Minsk
This document provides an overview of the Java Memory Model (JMM). It begins by explaining why developers should learn about the JMM and covers key concepts like program order, sequential consistency, synchronization actions, synchronization order, happens-before relationships, and double checked locking. The document uses examples and diagrams to illustrate these concepts and how the JMM handles issues like visibility and atomicity in multithreaded programs. It aims to explain the essential aspects of the JMM in an accessible way for developers.
Blocks allow passing code as a parameter or return value from functions. They capture the context in which they are defined. Grand Central Dispatch (GCD) simplifies concurrent programming using dispatch queues, which can execute blocks asynchronously or synchronously, and dispatch sources which attach blocks to system events. Dispatch groups and semaphores help coordinate work across dispatch queues.
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.
The document summarizes the Deuce software transactional memory (STM) framework for Java. Deuce allows developers to add concurrency to Java applications using atomic blocks without changing code or using reserved keywords. It works by dynamically instrumenting bytecode to enable software transactions over shared fields. Benchmarks show it scales well on multi-core systems compared to other STM approaches like TL2 and LSA that require more intrusive changes.
How and why I turned my old Java projects into a first-class serverless compo...Mario Fusco
Mario Fusco discusses turning old Java rule engine projects into serverless components by refactoring them to run natively on GraalVM and integrate with Quarkus. He describes the limitations of ahead-of-time compilation with GraalVM, such as lack of dynamic classloading. He details refactoring Drools to use an executable model and removing dependencies on dynamic class definition. This allows Drools to natively compile on GraalVM. He also discusses integrating the refactored Drools with Quarkus.
An introduction to Rust: the modern programming language to develop safe and ...Claudio Capobianco
Rust is a young programming language developed by Mozilla with the open source community support. According to a survey of StackOverflow, in 2016 was the most loved among developers language! The goal of Rust is to combine control and performances, that is, operate at low level with high-level constructs. The actual applications vary from operating system to web development. Rust natively includes tools for Agile development, such as dependency management, testing and much more. The gap with other popular languages is filling up quickly thanks to the community, very active and fantastic :)
In this introductory presentation we will discuss the characteristics that make Rust unique, including the concepts of Ownership, Borrowing, and Lifetimes.
These slide has be presented for a talk in BIC Lazio Casilina, that has been also the first meetup of Rust Rome!
This presentation considers certain specific features of C++11 and additions to STL library (uniform initialization, new containers and methods, move semantics).
Presentation by Taras Protsiv (Software Engineer, GlobalLogic), Kyiv, delivered at GlobalLogic C++ TechTalk in Lviv, September 18, 2014.
More details -
http://www.globallogic.com.ua/press-releases/lviv-cpp-techtalk-coverage
This document summarizes key features introduced in Java SE 5.0 (Tiger) including generics, autoboxing/unboxing, enhanced for loops, type-safe enums, varargs, static imports, and annotations. It also discusses performance enhancements in the virtual machine as well as new concurrency utilities like Executors and ScheduledExecutorService that make multi-threaded programming easier and more robust.
This document discusses the Java Memory Model (JMM) and how it describes how threads interact through memory in Java. It covers key aspects of the JMM including happens-before ordering, memory barriers, visibility rules, and how final fields and atomic instructions interact with the memory model. It also discusses performance considerations and how different processor architectures implement memory ordering.
This session, delivered at Devoxx Poland, covers all the major changes to the Java platform between JDK 12 and JDK 17. All language features are covered, as well as many of the important API changes.
Making Java more dynamic: runtime code generation for the JVMRafael Winterhalter
While Java’s strict type system is a great help for avoiding programming errors, it also takes away some of the flexibility that developers appreciate when using dynamic languages. By using runtime code generation, it is possible to bring some of this flexibility back to the Java virtual machine. For this reason, runtime code generation is widely used by many state-of-the-art Java frameworks for implementing POJO-centric APIs but it also opens the door to assembling more modular applications. This presentation offers an introduction to the complex of runtime code generation and its use on the Java platform. Furthermore, it discusses the up- and downsides of several code generation libraries such as ASM, Javassist, cglib and Byte Buddy.
A long time ago in a galaxy far, far away...
Java open source developers managed to the see the previously secret plans to the Empire's ultimate weapon, the JAVA™ COLLECTIONS FRAMEWORK.
Evading the dreaded Imperial Starfleet, a group of freedom fighters investigate common developer errors and bugs to help protect their vital software. In addition, they investigate the performance of the Empire’s most popular weapon: HashMap. With this new found knowledge they strike back!
Pursued by the Empire's sinister agents, JDuchess races home aboard her JVM, investigating proposed future changes to the Java Collections and other options such as Immutable Persistent Collections which could save her people and restore freedom to the galaxy....
Slides from tech talk about the art of non-blocking waiting in Java with LockSupport.park/unpark and AbstractQueuedSynchronizer. Presented on JPoint 2016 Conference.
Node has captured the attention of early adopters by clearly differentiating itself as being asynchronous from the ground up while remaining accessible. Now that server side JavaScript is at the cutting edge of the asynchronous, real time web, it is in a much better position to establish itself as the go to language for also making synchronous, CRUD webapps and gain a stronger foothold on the server.
This talk covers the current state of server side JavaScript beyond Node. It introduces Common Node, a synchronous CommonJS compatibility layer using node-fibers which bridges the gap between the different platforms. We look into Common Node's internals, compare its performance to that of other implementations such as RingoJS and go through some ideal use cases.
The document summarizes changes and additions in Clojure 1.1 and beyond. Key changes include replacing watchers with add-watch/remove-watch, removing add-classpath, deprecating ^ in favor of meta, reworking clojure.parallel to use Java 7 fork-join, and replacing clojure.lang.Repl and clojure.lang.Script with clojure.main. Additions include primitive array generation/casting, chunked sequences, futures, promises, transients, pre-/post- conditions, and new namespaces like clojure.test. Future versions may include reify, deftype, defprotocol, fine-grained locals clearing, and agent
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 Java 5 concurrency features including locks, conditions, atomic variables, blocking queues, concurrent hash maps, synchronizers like semaphores and mutexes, and the executor framework. Key points include:
- Locks provide an alternative to synchronized blocks and methods, and allow more flexible locking behavior. ReentrantLock is a common lock implementation.
- Conditions (condition variables) allow threads to wait/signal and are used with locks rather than synchronized monitors.
- Atomic variables ensure thread-safe operations on single variables without locking.
This document discusses Java bytecode manipulation techniques using unsafe, instrumentation, and Java agents. It covers areas where bytecode manipulation is commonly used like mocking, persistence, and security. It analyzes techniques for defining and transforming classes at runtime and discusses challenges like injecting state and working with modules. The document also proposes ideas to standardize testing support and provide a unified dynamic code generation concept in Java.
The document discusses several programming languages and libraries that provide concurrency constructs for parallel programming. It describes features for concurrency in Ada 95, Java, and C/C++ libraries including pthreads. Key features covered include threads, mutual exclusion locks, condition variables, and examples of implementing a bounded buffer for inter-thread communication.
This presentation is about multitasking with std::future.
Presentation by Dmytro Gurin (Lead Software Engineer, GlobalLogic, Kyiv), delivered at GlobalLogic C++ TechTalk in Lviv, September 18, 2014.
More details -
http://www.globallogic.com.ua/press-releases/lviv-cpp-techtalk-coverage
Николай Папирный Тема: "Java memory model для простых смертных"Ciklum Minsk
This document provides an overview of the Java Memory Model (JMM). It begins by explaining why developers should learn about the JMM and covers key concepts like program order, sequential consistency, synchronization actions, synchronization order, happens-before relationships, and double checked locking. The document uses examples and diagrams to illustrate these concepts and how the JMM handles issues like visibility and atomicity in multithreaded programs. It aims to explain the essential aspects of the JMM in an accessible way for developers.
Blocks allow passing code as a parameter or return value from functions. They capture the context in which they are defined. Grand Central Dispatch (GCD) simplifies concurrent programming using dispatch queues, which can execute blocks asynchronously or synchronously, and dispatch sources which attach blocks to system events. Dispatch groups and semaphores help coordinate work across dispatch queues.
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.
The document summarizes the Deuce software transactional memory (STM) framework for Java. Deuce allows developers to add concurrency to Java applications using atomic blocks without changing code or using reserved keywords. It works by dynamically instrumenting bytecode to enable software transactions over shared fields. Benchmarks show it scales well on multi-core systems compared to other STM approaches like TL2 and LSA that require more intrusive changes.
How and why I turned my old Java projects into a first-class serverless compo...Mario Fusco
Mario Fusco discusses turning old Java rule engine projects into serverless components by refactoring them to run natively on GraalVM and integrate with Quarkus. He describes the limitations of ahead-of-time compilation with GraalVM, such as lack of dynamic classloading. He details refactoring Drools to use an executable model and removing dependencies on dynamic class definition. This allows Drools to natively compile on GraalVM. He also discusses integrating the refactored Drools with Quarkus.
An introduction to Rust: the modern programming language to develop safe and ...Claudio Capobianco
Rust is a young programming language developed by Mozilla with the open source community support. According to a survey of StackOverflow, in 2016 was the most loved among developers language! The goal of Rust is to combine control and performances, that is, operate at low level with high-level constructs. The actual applications vary from operating system to web development. Rust natively includes tools for Agile development, such as dependency management, testing and much more. The gap with other popular languages is filling up quickly thanks to the community, very active and fantastic :)
In this introductory presentation we will discuss the characteristics that make Rust unique, including the concepts of Ownership, Borrowing, and Lifetimes.
These slide has be presented for a talk in BIC Lazio Casilina, that has been also the first meetup of Rust Rome!
This presentation considers certain specific features of C++11 and additions to STL library (uniform initialization, new containers and methods, move semantics).
Presentation by Taras Protsiv (Software Engineer, GlobalLogic), Kyiv, delivered at GlobalLogic C++ TechTalk in Lviv, September 18, 2014.
More details -
http://www.globallogic.com.ua/press-releases/lviv-cpp-techtalk-coverage
This document summarizes key features introduced in Java SE 5.0 (Tiger) including generics, autoboxing/unboxing, enhanced for loops, type-safe enums, varargs, static imports, and annotations. It also discusses performance enhancements in the virtual machine as well as new concurrency utilities like Executors and ScheduledExecutorService that make multi-threaded programming easier and more robust.
This document discusses the Java Memory Model (JMM) and how it describes how threads interact through memory in Java. It covers key aspects of the JMM including happens-before ordering, memory barriers, visibility rules, and how final fields and atomic instructions interact with the memory model. It also discusses performance considerations and how different processor architectures implement memory ordering.
This session, delivered at Devoxx Poland, covers all the major changes to the Java platform between JDK 12 and JDK 17. All language features are covered, as well as many of the important API changes.
Making Java more dynamic: runtime code generation for the JVMRafael Winterhalter
While Java’s strict type system is a great help for avoiding programming errors, it also takes away some of the flexibility that developers appreciate when using dynamic languages. By using runtime code generation, it is possible to bring some of this flexibility back to the Java virtual machine. For this reason, runtime code generation is widely used by many state-of-the-art Java frameworks for implementing POJO-centric APIs but it also opens the door to assembling more modular applications. This presentation offers an introduction to the complex of runtime code generation and its use on the Java platform. Furthermore, it discusses the up- and downsides of several code generation libraries such as ASM, Javassist, cglib and Byte Buddy.
A long time ago in a galaxy far, far away...
Java open source developers managed to the see the previously secret plans to the Empire's ultimate weapon, the JAVA™ COLLECTIONS FRAMEWORK.
Evading the dreaded Imperial Starfleet, a group of freedom fighters investigate common developer errors and bugs to help protect their vital software. In addition, they investigate the performance of the Empire’s most popular weapon: HashMap. With this new found knowledge they strike back!
Pursued by the Empire's sinister agents, JDuchess races home aboard her JVM, investigating proposed future changes to the Java Collections and other options such as Immutable Persistent Collections which could save her people and restore freedom to the galaxy....
Slides from tech talk about the art of non-blocking waiting in Java with LockSupport.park/unpark and AbstractQueuedSynchronizer. Presented on JPoint 2016 Conference.
Node has captured the attention of early adopters by clearly differentiating itself as being asynchronous from the ground up while remaining accessible. Now that server side JavaScript is at the cutting edge of the asynchronous, real time web, it is in a much better position to establish itself as the go to language for also making synchronous, CRUD webapps and gain a stronger foothold on the server.
This talk covers the current state of server side JavaScript beyond Node. It introduces Common Node, a synchronous CommonJS compatibility layer using node-fibers which bridges the gap between the different platforms. We look into Common Node's internals, compare its performance to that of other implementations such as RingoJS and go through some ideal use cases.
The document summarizes changes and additions in Clojure 1.1 and beyond. Key changes include replacing watchers with add-watch/remove-watch, removing add-classpath, deprecating ^ in favor of meta, reworking clojure.parallel to use Java 7 fork-join, and replacing clojure.lang.Repl and clojure.lang.Script with clojure.main. Additions include primitive array generation/casting, chunked sequences, futures, promises, transients, pre-/post- conditions, and new namespaces like clojure.test. Future versions may include reify, deftype, defprotocol, fine-grained locals clearing, and agent
The document provides an overview of concurrency constructs and models. It discusses threads and locks, and some of the problems with locks like manually locking/unlocking and lock ordering issues. It then covers theoretical models like actors, CSP, and dataflow. Implementation details and problems with different models are discussed. Finally, it highlights some open problems and areas for further work.
The document discusses Intel Threading Building Blocks (TBB), a C++ template library for parallel programming. TBB provides features like parallel_for to simplify parallelizing loops across CPU cores without managing threads directly. It uses generic programming principles and provides common parallel algorithms, concurrent data structures, and synchronization primitives to make parallel programming more accessible. TBB aims to improve both correctness through avoiding race conditions and performance through efficient hardware utilization.
The document discusses Intel Threading Building Blocks (TBB), a C++ template library for parallel programming. TBB provides features like parallel_for to simplify parallelizing loops across CPU cores without needing expertise in threads. It uses generic programming principles and provides common parallel algorithms, concurrent data structures, and task scheduling to make parallel programming more accessible and scalable. The example shows converting a serial velocity update loop to parallel using TBB.
The document summarizes Software Transactional Memory (STM) and the Multiverse framework. STM provides an alternative to classic locking-based concurrency control using transactions on memory. Multiverse is an STM framework for Java that uses transactions to provide atomic, isolated and consistent access to shared memory without exposing locking details. It supports various programming models including POJO and managed reference based approaches.
The document discusses the future of server-side JavaScript. It covers various Node.js frameworks and libraries that support both synchronous and asynchronous programming styles. CommonJS aims to provide interoperability across platforms by implementing synchronous proposals using fibers. Examples demonstrate how CommonJS allows for synchronous-like code while maintaining asynchronous behavior under the hood. Benchmarks show it has comparable performance to Node.js. The author advocates for toolkits over frameworks and continuing development of common standards and packages.
These are the outline slides that I used for the Pune Clojure Course.
The slides may not be much useful standalone, but I have uploaded them for reference.
The Road To Reactive with RxJava JEEConf 2016Frank Lyaruu
This document introduces Reactive Programming with RxJava and how it can be used to create non-blocking applications. It discusses the limitations of blocking code and how RxJava uses Observables and Subscribers to implement reactive and asynchronous operations. It provides examples of converting blocking servlets and HTTP calls to non-blocking using RxJava. While non-blocking code is not always faster, it allows asynchronous operations to utilize threads more efficiently.
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.
Get into Functional Programming with ClojureJohn Stevenson
A brief guide on how to think in the way of Functional Programming, using Clojure as the example code.
Covers the main concepts and abstractions within Functional Programming & Clojure
Presented at several conferences and meetup events through 2016, with a video captured via GoPro at CeBIT Developer world 2016 on youtube at:
https://www.youtube.com/watch?v=mEfqULqChZs
This document provides an overview of Clojure and its features for concurrent programming. It discusses Clojure's support for immutable persistent data structures, functional programming, and hosting on the JVM. For concurrency, it explains Clojure's approach using vars, refs with software transactional memory, atoms, and agents. Vars allow mutable state in a thread-isolated way. Refs allow transactional updates to shared state. Atoms provide synchronous shared state updates. Agents enable asynchronous updates.
This document provides a summary of an introduction to the Clojure programming language. It discusses what Clojure is, its timeline and adoption, functional programming concepts, concurrency features using Software Transactional Memory, the Lisp ideology it is based on including homoiconicity and its macro system. It also provides an overview of getting started with Clojure including using the REPL, basic syntax like symbols and keywords, data types, sequences, functions, and Java interoperability. Resources for learning more about Clojure are also listed.
If You Think You Can Stay Away from Functional Programming, You Are WrongMario Fusco
The document discusses several key concepts in functional programming including:
- Immutable data and pure functions avoid side effects and allow for referential transparency.
- Higher order functions and avoiding mutable state enable concurrency and parallelism without data races.
- Programs can be designed with a pure functional core and push side effects to the outer layers for modularity.
This document discusses the history and evolution of functional programming in Java, including lambda expressions and streams. It describes how lambda expressions allow passing behaviors as arguments to methods like normal data. This improves API design, opportunities for optimization, and code readability. Streams encourage a lazy, pipelined style and can execute operations in parallel. Functional idioms like immutability and pure functions help enforce correctness and isolation of side effects.
This document discusses principles of the Play Framework. It emphasizes building APIs that are composable by avoiding side effects as much as possible. It introduces concepts like Enumerators and Iteratees to allow for asynchronous and reactive programming with streams of data. Enumerators produce data asynchronously while Iteratees consume data asynchronously. This allows streaming of data without blocking. The document provides examples of how to compose Enumerators and Iteratees to process streams of data in an asynchronous and non-blocking way. It emphasizes building APIs that are simple building blocks that can be easily composed together through functional composition rather than relying on side effects.
The document discusses various approaches for leveraging parallelism and concurrency including multithreading, fork/join, actors, dataflow, and software transactional memory. It notes that while multithreading is challenging, other approaches like actors, dataflow, and STM can allow for writing concurrency-agnostic code. It promotes the GPars library for its implementations of various parallel and concurrent programming abstractions in Java and Groovy.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
homoiconicity is a property of some programming languages, in which the primary representation of programs is also a data structure in a primitive type of the language itself, from the Greek words homo meaning the same and icon meaning representation. This makes metaprogramming easier than in a language without this property Each file generates a loader class of the same name with "__init" appended.