面向引擎——编写高效率JS
•
0 likes•412 views
This document summarizes key topics about optimizing JavaScript performance, including: 1. Variable scope management matters as the scope chain is used to locate variables during execution. 2. Data accessing performance depends on the type of data being accessed, with object properties and literal values being faster than arrays in most JavaScript engines today. 3. Loops and functions have little performance impact in modern engines, though normal for loops are faster than for-in loops. Function inlining can provide gains. 4. ASMJS is not ready for use yet and generally leads to worse performance than letting modern JavaScript engines like V8 optimize code without it. Simple, well-written code is best.
Report
Share
Report
Share
Download to read offline
Recommended
Perf onjs final
This document discusses performance considerations when writing JavaScript code. It covers variable scope management, data accessing, loops and functions, and ASMJS. Regarding variable scope, the scope chain matters less now due to just-in-time compilers. For data accessing, object properties and array items perform similarly. For loops, for-in loops should be avoided and while loops are preferred. When calling functions, using parameters rather than arguments is better. ASMJS is not recommended currently due to compilation overhead outweighing performance benefits. Overall, simple code that provides type hints is best for performance.
War of Native Speed on Web (SITCON2016)
This document discusses efforts to improve the performance of JavaScript for web applications. It introduces ASM.JS, a subset of JavaScript that can be optimized to perform closer to native machine code by taking advantage of static typing. It also discusses Native Client (NaCl) and Portable Native Client (PNaCl), which allow C and C++ code to be run securely in the browser by compiling to an intermediate representation. Finally, it introduces WebAssembly as a new binary format for code that aims to be faster than JavaScript, have an AST-like structure, and support being run directly in the browser or through just-in-time compilation. The document argues that while JavaScript will still be important for web pages, it may no longer
Load test REST APIs using gatling
Gatling can be used to load test REST APIs by writing Scala simulation scripts. The scripts define test scenarios by chaining together the steps of invoking APIs concurrently. Feeders can inject runtime values. Tests are run by executing the Scala scripts from sbt or triggered from Jenkins. Gatling generates test reports in the target directory with results like response times and errors.
Gatling
These slides will give you brief discription about issues with the traditional performance testing tools and how the gatling resolve issues?
Promise of a better future by Rahul Goma Phulore and Pooja Akshantal, Thought...
With the recent, vivid trend towards multicore hardware and the ever growing application requirements, concurrency is no more a niche area it used to be, and is slowly becoming a norm. In this talk, we will talk about promises/futures, one of the concurrency models that has risen to the occasion. We will look at what they are, how they're implemented and used in Java and Javascript. We will see how Scala, with its functional paradigm and greater abstraction capabilities, avoids "callback hell" typically associated with the model, allows writing of concurrent code in "direct style", and thereby greatly reduces the cognitive burden, allowing you to focus on application logic better.
Drilling the Async Library
Async library is an asynchronous programming facility for Scala that offers a direct API for working with Futures.
It was added in Scala version 2.10 and is implemented using macros. Its main constructs, async and await, are inspired by similar constructs introduced in C# 5.0.
Gatling @ Scala.Io 2013
Gatling 2 is planned for 2014 and will include significant refactoring and new features. Some key changes include:
1. A new expression API that uses Validation to handle errors and support different data types.
2. Improvements to the session API to make data access safer.
3. A new templating API that supports string interpolation and external EL templates for simple use cases.
4. Enhancements to checks like regex to support capturing multiple groups and different data types.
5. Support for fetching embedded resources in parallel to better simulate browser behavior during load tests.
Boost your App with Gatling
Performance Testing is a type of testing to ensure software applications will perform well under their expected workload.
It evaluates the quality or capability of a product. Take your Performance Tests to next level with Gatling!
Recommended
Perf onjs final
This document discusses performance considerations when writing JavaScript code. It covers variable scope management, data accessing, loops and functions, and ASMJS. Regarding variable scope, the scope chain matters less now due to just-in-time compilers. For data accessing, object properties and array items perform similarly. For loops, for-in loops should be avoided and while loops are preferred. When calling functions, using parameters rather than arguments is better. ASMJS is not recommended currently due to compilation overhead outweighing performance benefits. Overall, simple code that provides type hints is best for performance.
War of Native Speed on Web (SITCON2016)
This document discusses efforts to improve the performance of JavaScript for web applications. It introduces ASM.JS, a subset of JavaScript that can be optimized to perform closer to native machine code by taking advantage of static typing. It also discusses Native Client (NaCl) and Portable Native Client (PNaCl), which allow C and C++ code to be run securely in the browser by compiling to an intermediate representation. Finally, it introduces WebAssembly as a new binary format for code that aims to be faster than JavaScript, have an AST-like structure, and support being run directly in the browser or through just-in-time compilation. The document argues that while JavaScript will still be important for web pages, it may no longer
Load test REST APIs using gatling
Gatling can be used to load test REST APIs by writing Scala simulation scripts. The scripts define test scenarios by chaining together the steps of invoking APIs concurrently. Feeders can inject runtime values. Tests are run by executing the Scala scripts from sbt or triggered from Jenkins. Gatling generates test reports in the target directory with results like response times and errors.
Gatling
These slides will give you brief discription about issues with the traditional performance testing tools and how the gatling resolve issues?
Promise of a better future by Rahul Goma Phulore and Pooja Akshantal, Thought...
With the recent, vivid trend towards multicore hardware and the ever growing application requirements, concurrency is no more a niche area it used to be, and is slowly becoming a norm. In this talk, we will talk about promises/futures, one of the concurrency models that has risen to the occasion. We will look at what they are, how they're implemented and used in Java and Javascript. We will see how Scala, with its functional paradigm and greater abstraction capabilities, avoids "callback hell" typically associated with the model, allows writing of concurrent code in "direct style", and thereby greatly reduces the cognitive burden, allowing you to focus on application logic better.
Drilling the Async Library
Async library is an asynchronous programming facility for Scala that offers a direct API for working with Futures.
It was added in Scala version 2.10 and is implemented using macros. Its main constructs, async and await, are inspired by similar constructs introduced in C# 5.0.
Gatling @ Scala.Io 2013
Gatling 2 is planned for 2014 and will include significant refactoring and new features. Some key changes include:
1. A new expression API that uses Validation to handle errors and support different data types.
2. Improvements to the session API to make data access safer.
3. A new templating API that supports string interpolation and external EL templates for simple use cases.
4. Enhancements to checks like regex to support capturing multiple groups and different data types.
5. Support for fetching embedded resources in parallel to better simulate browser behavior during load tests.
Boost your App with Gatling
Performance Testing is a type of testing to ensure software applications will perform well under their expected workload.
It evaluates the quality or capability of a product. Take your Performance Tests to next level with Gatling!
The Future starts with a Promise
The document discusses performance optimization in computing systems and asynchronous programming. It introduces the concept of futures and promises as a way to write asynchronous and non-blocking code in a composable manner. Futures allow operations to be chained together and executed asynchronously without blocking threads. This approach prevents issues like callback hell and makes the code easier to read and maintain.
Lyonrb 12feb2014-sidekiq
What you need to know to start integrating Mike Perham's Sidekiq threaded work queue with your Rails app.
Introduction to Functional Reactive Programming
This document discusses functional reactive programming (FRP). It begins by defining FRP as combining functional programming with reactive programming, where signals emit values over time in a declarative rather than imperative style. It provides examples of how FRP can be used to search APIs reactively based on user input and start/stop timers based on user gestures. The document notes advantages of FRP like conciseness, readability, ease of asynchronous programming, and maintainability. It outlines some FRP concepts like observables, transformations, composition, and filtering. It acknowledges criticisms of FRP's complexity but argues that FRP is actually simple and that simplicity should be the goal. It predicts FRP will become increasingly important.
Top 10 RxJs Operators in Angular
This slides describes about Top 10 Rxjs Operators in Angular which can be quite useful in our day to day life
Javantura v4 - Java and lambdas and streams - are they better than for loops ...
Javantura v4 - Java and lambdas and streams - are they better than for loops ...HUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
This document compares the performance of for loops, iterators, and Java 8 streams for processing collections of objects. It describes benchmark tests performed on different collection sizes ranging from 10 to 1,000,000 objects. The tests focused on common collection operations like finding the youngest/highest paid object, filtering by a property, and grouping by a property. The results showed that streams were generally faster than for loops for larger collections (>1000 objects) but slower for smaller collections. Iterators had the best performance overall. The document concludes that while streams offer a functional programming style, traditional for loops may still be better for smaller collections or certain object types due to stream overhead.Javantura v4 - Java or Scala – Web development with Playframework 2.5.x - Kre...
Javantura v4 - Java or Scala – Web development with Playframework 2.5.x - Kre...HUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
This document compares Java and Scala for web development using the Playframework 2.5.x. It provides an overview of Scala and the Playframework, including how to set up a Play application with Scala. It demonstrates building a sample web application for a speaker database using Play and Scala, including setting up the project structure, models, database integration, JSON handling, testing, and deployment. The document aims to demonstrate how to develop a web application from start to finish using the Playframework and Scala.Intro to RxJS
This document introduces Functional Reactive Programming (FRP) using RxJS. FRP is a programming paradigm for reactive programming with asynchronous data streams. RxJS is a library for FRP in JavaScript that allows programming with asynchronous data streams from various sources like files, web services, and user events. The document provides an overview of RxJS, demonstrates its usage, and discusses why FRP is useful for creating cleaner and more maintainable code when dealing with asynchronous processes and events.
What’s expected in Spring 5
Reactive programming is gaining momentum for a while now using RxJava, Vert.x and other frameworks. By a short delay, spring finally adopts reactive programming to its core. During this presentation, we will briefly explore the changes in Spring 5 and will dedicate most of the time to discuss and demonstrate reactive programming using Spring 5.
Variables in Pharo5
This document discusses new developments in variable representation in Pharo5. It notes that everything used to be represented as objects, including variables, but variables were represented via associations. In Pharo5, variables are now represented as subclasses of objects called slots and literals. This allows variables to be annotated and have custom behavior via delegation to their metaobjects during code generation. It provides examples of using simple slots, weak slots, and property slots, and outlines the roadmap for further developing the slot system in Pharo6.
rx-java-presentation
RxJava is a library for composing asynchronous and event-based programs using observable sequences for the Java VM. It provides APIs for asynchronous programming with observable streams. Reactive Extensions (Rx) is a library that supports reactive programming with observable streams in many languages. Netflix adopted RxJava to address issues with its legacy API and improve performance of its services. RxJava uses Observables to build responsive and resilient applications in a reactive style.
Reactive Extensions for JavaScript
The Reactive Extensions allow developers to build composabile, asynchronous event driven methods over observable collections. In web applications, you can use this same model in client side processing using the RxJs framework. We'll show you how you can take advantage of this framework to simplify your complex asynchronous client side operations.
Powering machine learning workflows with Apache Airflow and Python
This document provides an overview of using Apache Airflow to power machine learning workflows with Python. It discusses Airflow concepts like DAGs, operators, relationships and visualizations. It also covers installing Airflow, common issues experienced like debugging and versioning, and using Airflow for machine learning tasks like model building and hyperparameter tuning. Examples of Airflow pipelines for data ingestion and machine learning are demonstrated. The presenter's background and the BBC Datalab team are briefly introduced.
Reactive java - Reactive Programming + RxJava
The document introduces reactive programming and RxJava. It defines reactive programming as working with asynchronous data streams using operators to combine, filter, and transform streams. It then discusses RxJava, a library that enables reactive programming in Java. It covers key reactive components like Observables, Operators, Schedulers, and Subjects. It provides examples of how to use various operators to transform, filter, combine streams and handle errors and backpressure. In conclusion, it discusses pros and cons of using reactive programming with RxJava.
Introducing Apache Airflow and how we are using it
This presentation is a brief introduction about Apache Airflow and how we implemented it. I explain how it can be used and some pros and cons.
Apollo server II
This document provides an overview of GraphQL basics and compares it to REST APIs. It discusses that GraphQL allows fetching multiple resources with a single query, while REST typically requires multiple requests. GraphQL also avoids over-fetching and under-fetching of data, and provides built-in type checking and documentation. The document outlines topics that will be covered in the next session, including GraphQL schemas, resolvers, and introspection.
Reactive programming with Rxjava
After explaining what problem Reactive Programming solves I will give an introduction to one implementation: RxJava. I show how to compose Observable without concurrency first and then with Scheduler. I finish the talk by showing examples of flow control and draw backs.
Inspired from https://www.infoq.com/presentations/rxjava-reactor and https://www.infoq.com/presentations/rx-service-architecture
Code: https://github.com/toff63/Sandbox/tree/master/java/rsjug-rx/rsjug-rx/src/main/java/rs/jug/rx
Apache Airflow
Introductory talk on Apache Airflow (Incubator) by Sumit Maheshwari at recent Bangalore Big Data Meetup.
Apache Airflow Introduction
Apache Airflow is a platform for authoring, scheduling, and monitoring workflows or directed acyclic graphs (DAGs). It allows defining and monitoring cron jobs, automating DevOps tasks, moving data periodically, and building machine learning pipelines. Many large companies use Airflow for tasks like data ingestion, analytics automation, and machine learning workflows. The author proposes using Airflow to manage data movement and automate tasks for their organization to benefit business units. Instructions are provided on installing Airflow using pip, Docker, or Helm along with developing sample DAGs connecting to Azure services like Blob Storage, Cosmos DB, and Databricks.
OASGraph LoopBack 4 Integration
Converting an OpenAPI specification to a GraphQL Schema, making a LoopBack 4 speak GraphQL automatically.
This is an amazing library built by the IBM Research group, special thanks to Erik Wittern, Jim Laredo and Alan Chan.
New in Spring Framework 5.0: Functional Web Framework
In Spring Framework 5.0, we introduced a new, functional web framework, next to the existing annotation-driven programming model. In this talk, we will discuss this new framework: how it is used, what its goals are, how it compares to the annotation model, and other related topics.
Presenter : Arjen Poutsma, Pivotal
Sr. Jorge Mujíca, Director de Tecnologías (CTO) de IBM Chile, "IBM Watson: e...
Este documento describe cómo la cocina cognitiva y el sistema Chef Watson de IBM pueden ayudar a reducir el desperdicio de alimentos y crear nuevas recetas personalizadas. Chef Watson utiliza una base de datos de 10,000 recetas y 30,000 ingredientes para generar recetas novedosas y sugerir sustitutos de ingredientes. El objetivo final es que las personas puedan inventar y modificar recetas de manera personalizada.
More Related Content
What's hot
The Future starts with a Promise
The document discusses performance optimization in computing systems and asynchronous programming. It introduces the concept of futures and promises as a way to write asynchronous and non-blocking code in a composable manner. Futures allow operations to be chained together and executed asynchronously without blocking threads. This approach prevents issues like callback hell and makes the code easier to read and maintain.
Lyonrb 12feb2014-sidekiq
What you need to know to start integrating Mike Perham's Sidekiq threaded work queue with your Rails app.
Introduction to Functional Reactive Programming
This document discusses functional reactive programming (FRP). It begins by defining FRP as combining functional programming with reactive programming, where signals emit values over time in a declarative rather than imperative style. It provides examples of how FRP can be used to search APIs reactively based on user input and start/stop timers based on user gestures. The document notes advantages of FRP like conciseness, readability, ease of asynchronous programming, and maintainability. It outlines some FRP concepts like observables, transformations, composition, and filtering. It acknowledges criticisms of FRP's complexity but argues that FRP is actually simple and that simplicity should be the goal. It predicts FRP will become increasingly important.
Top 10 RxJs Operators in Angular
This slides describes about Top 10 Rxjs Operators in Angular which can be quite useful in our day to day life
Javantura v4 - Java and lambdas and streams - are they better than for loops ...
Javantura v4 - Java and lambdas and streams - are they better than for loops ...HUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
This document compares the performance of for loops, iterators, and Java 8 streams for processing collections of objects. It describes benchmark tests performed on different collection sizes ranging from 10 to 1,000,000 objects. The tests focused on common collection operations like finding the youngest/highest paid object, filtering by a property, and grouping by a property. The results showed that streams were generally faster than for loops for larger collections (>1000 objects) but slower for smaller collections. Iterators had the best performance overall. The document concludes that while streams offer a functional programming style, traditional for loops may still be better for smaller collections or certain object types due to stream overhead.Javantura v4 - Java or Scala – Web development with Playframework 2.5.x - Kre...
Javantura v4 - Java or Scala – Web development with Playframework 2.5.x - Kre...HUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
This document compares Java and Scala for web development using the Playframework 2.5.x. It provides an overview of Scala and the Playframework, including how to set up a Play application with Scala. It demonstrates building a sample web application for a speaker database using Play and Scala, including setting up the project structure, models, database integration, JSON handling, testing, and deployment. The document aims to demonstrate how to develop a web application from start to finish using the Playframework and Scala.Intro to RxJS
This document introduces Functional Reactive Programming (FRP) using RxJS. FRP is a programming paradigm for reactive programming with asynchronous data streams. RxJS is a library for FRP in JavaScript that allows programming with asynchronous data streams from various sources like files, web services, and user events. The document provides an overview of RxJS, demonstrates its usage, and discusses why FRP is useful for creating cleaner and more maintainable code when dealing with asynchronous processes and events.
What’s expected in Spring 5
Reactive programming is gaining momentum for a while now using RxJava, Vert.x and other frameworks. By a short delay, spring finally adopts reactive programming to its core. During this presentation, we will briefly explore the changes in Spring 5 and will dedicate most of the time to discuss and demonstrate reactive programming using Spring 5.
Variables in Pharo5
This document discusses new developments in variable representation in Pharo5. It notes that everything used to be represented as objects, including variables, but variables were represented via associations. In Pharo5, variables are now represented as subclasses of objects called slots and literals. This allows variables to be annotated and have custom behavior via delegation to their metaobjects during code generation. It provides examples of using simple slots, weak slots, and property slots, and outlines the roadmap for further developing the slot system in Pharo6.
rx-java-presentation
RxJava is a library for composing asynchronous and event-based programs using observable sequences for the Java VM. It provides APIs for asynchronous programming with observable streams. Reactive Extensions (Rx) is a library that supports reactive programming with observable streams in many languages. Netflix adopted RxJava to address issues with its legacy API and improve performance of its services. RxJava uses Observables to build responsive and resilient applications in a reactive style.
Reactive Extensions for JavaScript
The Reactive Extensions allow developers to build composabile, asynchronous event driven methods over observable collections. In web applications, you can use this same model in client side processing using the RxJs framework. We'll show you how you can take advantage of this framework to simplify your complex asynchronous client side operations.
Powering machine learning workflows with Apache Airflow and Python
This document provides an overview of using Apache Airflow to power machine learning workflows with Python. It discusses Airflow concepts like DAGs, operators, relationships and visualizations. It also covers installing Airflow, common issues experienced like debugging and versioning, and using Airflow for machine learning tasks like model building and hyperparameter tuning. Examples of Airflow pipelines for data ingestion and machine learning are demonstrated. The presenter's background and the BBC Datalab team are briefly introduced.
Reactive java - Reactive Programming + RxJava
The document introduces reactive programming and RxJava. It defines reactive programming as working with asynchronous data streams using operators to combine, filter, and transform streams. It then discusses RxJava, a library that enables reactive programming in Java. It covers key reactive components like Observables, Operators, Schedulers, and Subjects. It provides examples of how to use various operators to transform, filter, combine streams and handle errors and backpressure. In conclusion, it discusses pros and cons of using reactive programming with RxJava.
Introducing Apache Airflow and how we are using it
This presentation is a brief introduction about Apache Airflow and how we implemented it. I explain how it can be used and some pros and cons.
Apollo server II
This document provides an overview of GraphQL basics and compares it to REST APIs. It discusses that GraphQL allows fetching multiple resources with a single query, while REST typically requires multiple requests. GraphQL also avoids over-fetching and under-fetching of data, and provides built-in type checking and documentation. The document outlines topics that will be covered in the next session, including GraphQL schemas, resolvers, and introspection.
Reactive programming with Rxjava
After explaining what problem Reactive Programming solves I will give an introduction to one implementation: RxJava. I show how to compose Observable without concurrency first and then with Scheduler. I finish the talk by showing examples of flow control and draw backs.
Inspired from https://www.infoq.com/presentations/rxjava-reactor and https://www.infoq.com/presentations/rx-service-architecture
Code: https://github.com/toff63/Sandbox/tree/master/java/rsjug-rx/rsjug-rx/src/main/java/rs/jug/rx
Apache Airflow
Introductory talk on Apache Airflow (Incubator) by Sumit Maheshwari at recent Bangalore Big Data Meetup.
Apache Airflow Introduction
Apache Airflow is a platform for authoring, scheduling, and monitoring workflows or directed acyclic graphs (DAGs). It allows defining and monitoring cron jobs, automating DevOps tasks, moving data periodically, and building machine learning pipelines. Many large companies use Airflow for tasks like data ingestion, analytics automation, and machine learning workflows. The author proposes using Airflow to manage data movement and automate tasks for their organization to benefit business units. Instructions are provided on installing Airflow using pip, Docker, or Helm along with developing sample DAGs connecting to Azure services like Blob Storage, Cosmos DB, and Databricks.
OASGraph LoopBack 4 Integration
Converting an OpenAPI specification to a GraphQL Schema, making a LoopBack 4 speak GraphQL automatically.
This is an amazing library built by the IBM Research group, special thanks to Erik Wittern, Jim Laredo and Alan Chan.
New in Spring Framework 5.0: Functional Web Framework
In Spring Framework 5.0, we introduced a new, functional web framework, next to the existing annotation-driven programming model. In this talk, we will discuss this new framework: how it is used, what its goals are, how it compares to the annotation model, and other related topics.
Presenter : Arjen Poutsma, Pivotal
What's hot (20)
Javantura v4 - Java and lambdas and streams - are they better than for loops ...
Javantura v4 - Java and lambdas and streams - are they better than for loops ...
Javantura v4 - Java or Scala – Web development with Playframework 2.5.x - Kre...
Javantura v4 - Java or Scala – Web development with Playframework 2.5.x - Kre...
Powering machine learning workflows with Apache Airflow and Python
Powering machine learning workflows with Apache Airflow and Python
Introducing Apache Airflow and how we are using it
Introducing Apache Airflow and how we are using it
New in Spring Framework 5.0: Functional Web Framework
New in Spring Framework 5.0: Functional Web Framework
Viewers also liked
Sr. Jorge Mujíca, Director de Tecnologías (CTO) de IBM Chile, "IBM Watson: e...
Este documento describe cómo la cocina cognitiva y el sistema Chef Watson de IBM pueden ayudar a reducir el desperdicio de alimentos y crear nuevas recetas personalizadas. Chef Watson utiliza una base de datos de 10,000 recetas y 30,000 ingredientes para generar recetas novedosas y sugerir sustitutos de ingredientes. El objetivo final es que las personas puedan inventar y modificar recetas de manera personalizada.
Dell PowerEdge Porfolio 2013
The document provides an overview of Dell PowerEdge server products, including their key features and benefits. It describes Dell PowerEdge rack, tower, and blade servers that are engineered to handle demanding workloads and maximize efficiency. The servers deliver performance, scalability, management advantages, and business continuity to power various applications.
Mapa planificación.
La planificación educativa requiere determinar los contenidos o temas que se enseñarán, las actividades de aprendizaje, los recursos necesarios y la evaluación. También se debe considerar el tiempo disponible y establecer indicadores claros para medir el logro de las competencias esperadas.
Bomba de veneno(3)
El documento describe un brote de cólera en Londres en 1854. Se discuten varias posibles causas, incluyendo una pelea donde alguien se infectó con sangre y luego contaminó una carnicería. Sin embargo, la conclusión más lógica fue que los barcos procedentes de la India trajeron el cólera a Londres a través del Río Támesis, contaminando el agua de la ciudad y causando la muerte de varias personas.
Reaching 100s of milllions at WWF
The #futureof WWF is using digital channels to reach 100s of milllions people around the world congregating around the digital campfires by David Drodge, Head of Digital
plus.google.com/+DavidDrodge
Incoterm
Este documento describe un acuerdo de comercio internacional entre Tequileros SA de CV en México y Licorería Mayorista SA de CV en Estados Unidos usando el INCOTERM DDU. Bajo este término, Tequileros entregará la mercancía en el lugar acordado en Estados Unidos sin incluir gastos de aduana o descargue, asumiendo los costos y riesgos del transporte. Licorería Mayorista será responsable de los derechos de importación y riesgos si no despacha la mercancía a tiempo para la importación.
Hader bustos vacation
i go to melgar tolima and dance in the partys with my famili in colombia, is a very good experience i am very happy with that
El rubi lectura y escritura
El documento presenta un proyecto pedagógico para mejorar el proceso de lectoescritura en estudiantes de tercero y cuarto grado en la escuela El Rubí. El proyecto identifica que los estudiantes tienen dificultades en lectura y escritura y propone desarrollar actividades lúdicas utilizando TIC para mejorar estas habilidades. El objetivo es contribuir al mejoramiento del proceso de enseñanza-aprendizaje en los estudiantes.
Technology & Social Interaction
Technology is defined as the application of scientific knowledge for practical purposes or machinery developed from such knowledge. Historically, humans have socialized around shared experiences like food, events, and dates, but technology has changed social interaction. While technology may change how often families eat together or attend events, it allows people to stay connected even when busy and gives introverts new ways of social expression through social media. In the future, technology will continue to enhance how humans express themselves and spend their leisure time, while fundamental human needs like relationships and community will remain.
Mapa de los recursos audiovisuales
El documento presenta un mapa conceptual de los recursos audiovisuales, incluyendo dispositivos como la pizarra, proyector, cámara de documentos, radio, video, TV, cine, cámara de fotos, retroproyector, e internet. Explica brevemente que la fotografía significa dibujar con luz, aunque la cámara de fotos moderna es un invento reciente, y que los comics combinan gráficos y textos siguiendo una secuencia temporal.
7. Mensaje de Emanuel Swedenborg
Comparte con nosotros su experiencia y mensaje al conocer Los Principios Divinos y el Pensamiento de Unificación.
También su aprecio y respeto por el Verdadero Padre Sun Myung Moon.
Birthday celebrators for the month of October- Tondo High School Teachers Tea...
The document discusses the results of a study on the impact of COVID-19 lockdowns on air pollution. Researchers analyzed data from dozens of countries and found that lockdowns led to an average decline of nearly 30% in nitrogen dioxide levels across major cities. However, they also observed that the reductions in air pollution were temporary and that levels began to rise again as restrictions eased and human activity increased.
Actividades de tercero y cuarto primaria
El documento contiene información sobre las células, tejidos, transporte de sustancias en plantas, clasificación de plantas, ecosistemas y rocas. Incluye actividades prácticas como observar el transporte de agua coloreada en tallos de apio, visitar jardines botánicos, construir terrarios y analizar muestras de rocas.
Chemical & hygiene systems pdf document aqua middle east fzc
Aqua is the Biggest Industrial Group swimming pool equipments in Middle East Dubai. we Deal swimming pool equipment and supplies swimming pool equipment and accessories in dubai.
Viewers also liked (17)
Sr. Jorge Mujíca, Director de Tecnologías (CTO) de IBM Chile, "IBM Watson: e...
Sr. Jorge Mujíca, Director de Tecnologías (CTO) de IBM Chile, "IBM Watson: e...
Birthday celebrators for the month of October- Tondo High School Teachers Tea...
Birthday celebrators for the month of October- Tondo High School Teachers Tea...
Chemical & hygiene systems pdf document aqua middle east fzc
Chemical & hygiene systems pdf document aqua middle east fzc
Similar to 面向引擎——编写高效率JS
Build Java Web Application Using Apache Struts
This document provides an introduction to building web applications using the Jakarta Struts framework. It discusses some of the challenges of building web applications and how Struts addresses these challenges through its implementation of the MVC pattern. It provides an overview of Struts' controller, model, and view components and how they work together. It also presents a case study of building an online poll application with Struts to demonstrate these concepts. Key benefits of Struts like separation of components and reusability are highlighted. The document concludes with tips on getting started quickly with Struts.
Understanding Framework Architecture using Eclipse
Talk on Framework architectures given at SAP Labs India for Eclipse Day India 2011 - Code attached Here: https://sites.google.com/site/anshunjain/eclipse-presentations
Flink Forward SF 2017: Malo Deniélou - No shard left behind: Dynamic work re...
The Apache Beam programming model is designed to support several advanced data processing features such as autoscaling and dynamic work rebalancing. In this talk, we will first explain how dynamic work rebalancing not only provides a general and robust solution to the problem of stragglers in traditional data processing pipelines, but also how it allows autoscaling to be truly effective. We will then present how dynamic work rebalancing works as implemented in the Google Cloud Dataflow runner and which path other Apache Beam runners link Apache Flink can follow to benefit from it.
Vue.js basics
This document provides an overview of key concepts in Vue.js, including:
- What Vue is and how it can be used as both a library and framework.
- The Vue lifecycle and lifecycle events.
- How to create reusable components with props, events, and a single root element.
- The differences between data, props, computed properties, and methods.
- Special properties like $root, $ref, $emit, and how to use @ and : bindings.
- The nextTick method for deferring code until after DOM updates.
- Common tools used with Vue like NPM, Babel, Webpack, and Vue CLI.
Scale up your thinking
This document discusses using reactive programming with Scala and Akka to build distributed, concurrent systems. It describes using the actor model and message passing between actors to develop scalable and resilient applications. Key points covered include using actors to build a web scraping system, handling failures through supervision strategies, and testing actor systems.
Testing Vue Apps with Cypress.io (STLJS Meetup April 2018)
Presented at the STLJS Meetup (St Louis, MO)
We dive into a Vue application used in semiconductor labs for transistor measurements. We discuss how get started with E2E testing with Cypress.io. And give a crash course into Vue applications.
Video: https://www.youtube.com/watch?v=dpB0YgnFyZQ
2015 01-17 Lambda Architecture with Apache Spark, NextML Conference
Lambda architecture is a data-processing architecture designed to handle massive quantities of data by taking advantage of both batch- and stream-processing methods. In Lambda architecture, the system involves three layers: batch processing, speed (or real-time) processing, and a serving layer for responding to queries, and each comes with its own set of requirements.
In batch layer, it aims at perfect accuracy by being able to process the all available big dataset which is an immutable, append-only set of raw data using distributed processing system. Output will be typically stored in a read-only database with result completely replacing existing precomputed views. Apache Hadoop, Pig, and HIVE are
the de facto batch-processing system.
In speed layer, the data is processed in streaming fashion, and the real-time views are provided by the most recent data. As a result, the speed layer is responsible for filling the "gap" caused by the batch layer's lag in providing views based on the most recent data. This layer's views may not be as accurate as the views provided by batch layer's views created with full dataset, so they will be eventually replaced by the batch layer's views. Traditionally, Apache Storm is
used in this layer.
In serving layer, the result from batch layer and speed layer will be stored here, and it responds to queries in a low-latency and ad-hoc way.
One of the lambda architecture examples in machine learning context is building the fraud detection system. In speed layer, the incoming streaming data can be used for online learning to update the model learnt in batch layer to incorporate the recent events. After a while, the model can be rebuilt using the full dataset.
Why Spark for lambda architecture? Traditionally, different
technologies are used in batch layer and speed layer. If your batch system is implemented with Apache Pig, and your speed layer is implemented with Apache Storm, you have to write and maintain the same logics in SQL and in Java/Scala. This will very quickly becomes a maintenance nightmare. With Spark, we have an unified development framework for batch and speed layer at scale. In this talk, an end-to-end example implemented in Spark will be shown, and we will
discuss about the development, testing, maintenance, and deployment of lambda architecture system with Apache Spark.
Camunda BPM 7.2: Performance and Scalability (English)
Executing hundreds or thousands of process instances per second? Yes, it's possible. This webinar is about best practices for high-load situations, and how to scale Camunda BPM horizontally.
Introducing spring
Spring Framework provides a comprehensive infrastructure to develop Java applications. It handles dependency injection and inversion of control so developers can focus on domain logic rather than plumbing. Spring promotes best practices like clean code, test-driven development, and design patterns. It includes aspects for cross-cutting concerns and supports web development through frameworks like Spring MVC. The document introduces Spring's lightweight and modular IoC container and AOP capabilities for separating concerns.
Java Serialization Facts and Fallacies
The document discusses Java serialization and common myths surrounding it. It summarizes that Java serialization allows for flexible evolution of classes while maintaining backwards compatibility through the use of serialVersionUID. It debunks common myths that Java serialization is slow, inflexible, or that changing private fields breaks compatibility. The document explains that serialization performance depends more on how streams are used rather than the underlying implementation.
apidays Paris 2022 - Of graphQL, DX friction, and surgical monolithectomy, Fr...
apidays Paris 2022 - APIs the next 10 years: Software, Society, Sovereignty, Sustainability
December 14, 15 & 16, 2022
Of graphQL, DX friction, and surgical monolithectomy
Francois Lascelles, CTO at Broadcom Software
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Deep dive into the API industry with our reports:
https://www.apidays.global/industry-reports/
Subscribe to our global newsletter:
https://apidays.typeform.com/to/i1MPEW
Erjang - A journey into Erlang-land
Here is the presentation I did at Trifork GeekNights, January 12+13.
The talk is about my journey into Erlang land, how we need to start thinking about threads and processes in a new way, and some aspects of the work I have done towards implementing Erlang on the JVM platform.
Follow-up discussion either at my blog: http://javalimit.com/ or at http://groups.google.com/group/erjang
Malo Denielou - No shard left behind: Dynamic work rebalancing in Apache Beam
http://flink-forward.org/kb_sessions/no-shard-left-behind-dynamic-work-rebalancing-in-apache-beam/
The Apache Beam (incubating) programming model is designed to support several advanced data processing features such as autoscaling and dynamic work rebalancing. In this talk, we will first explain how dynamic work rebalancing not only provides a general and robust solution to the problem of stragglers in traditional data processing pipelines, but also how it allows autoscaling to be truly effective. We will then present how dynamic work rebalancing works as implemented in Google Cloud Dataflow and which path other Apache Beam runners link Apache Flink can follow to benefit from it.
Java bytecode and classes
This document discusses Java classes and bytecode. It begins by explaining what classes are and how they are loaded and used. It then discusses classloaders and how classes can be loaded from different classloaders. The document explores aspects of aspect-oriented programming including Java proxies, Spring AOP, and AspectJ. It discusses how to write bytecode at runtime and instruments classes. Finally, it provides an overview of concepts related to aspects in AspectJ such as pointcuts, join points, and advice.
Java scriptforjavadev part2a
This document summarizes a presentation on JavaScript essentials for Java developers. It discusses JavaScript object literals, core objects like Array and Date, JSON, and JavaScript classes. Object literals allow creating objects without classes by using this and properties/methods. Core objects like Array, Date, Math and String are explored. JSON is introduced as a lightweight data interchange format. JavaScript classes are explained using the constructor function pattern and prototype properties to add methods to all objects.
Nodejs from zero to hero
Slides for Node.js Workshop. You can find all materials in this repo:
https://github.com/NickNaso/nodejs-tsw-2017
Pig on Tez - Low Latency ETL with Big Data
This document discusses Pig on Tez, which runs Pig jobs on the Tez execution engine rather than MapReduce. The team introduces Pig and Tez, describes the design of Pig on Tez including logical and physical plans, custom vertices and edges, and performance optimizations like broadcast edges and object caching. Performance results show speedups of 1.5x to 6x over MapReduce. Current status is 90% feature parity with Pig on MR and future work includes supporting Tez local mode and improving stability, usability, and performance further.
G pars
GPars (Groovy Parallel Systems) is an open-source concurrency and parallelism library for Java and Groovy that gives you a number of high-level abstractions for writing concurrent and parallel code in Groovy (map/reduce, fork/join, asynchronous closures, actors, agents, dataflow concurrency and other concepts), which can make your Java and Groovy code concurrent and/or parallel with little effort.
AJS UNIT-1 2021-converted.pdf
This document discusses jQuery selectors and DOM manipulation using jQuery. It begins with an introduction to jQuery, explaining that jQuery is a JavaScript library that simplifies HTML document traversal, event handling, animations and Ajax interactions. It then covers various jQuery selectors including element, ID, class and universal selectors. It provides examples of how to select and style elements using these selectors. The document also discusses jQuery's DOM manipulation methods for getting and setting attributes and traversing the DOM tree.
TorqueBox at DC:JBUG - November 2011
TorqueBox allows Ruby applications to leverage the Java Application Server and Java EE services by running Ruby code on JRuby and integrating it with the underlying Java platform. It provides services like messaging, caching, background jobs, and more to Ruby applications. TorqueBox handles the integration between Ruby frameworks/APIs and the corresponding Java APIs and services, allowing Ruby developers to build enterprise applications that scale.
Similar to 面向引擎——编写高效率JS (20)
Understanding Framework Architecture using Eclipse
Understanding Framework Architecture using Eclipse
Flink Forward SF 2017: Malo Deniélou - No shard left behind: Dynamic work re...
Flink Forward SF 2017: Malo Deniélou - No shard left behind: Dynamic work re...
Testing Vue Apps with Cypress.io (STLJS Meetup April 2018)
Testing Vue Apps with Cypress.io (STLJS Meetup April 2018)
2015 01-17 Lambda Architecture with Apache Spark, NextML Conference
2015 01-17 Lambda Architecture with Apache Spark, NextML Conference
Camunda BPM 7.2: Performance and Scalability (English)
Camunda BPM 7.2: Performance and Scalability (English)
apidays Paris 2022 - Of graphQL, DX friction, and surgical monolithectomy, Fr...
apidays Paris 2022 - Of graphQL, DX friction, and surgical monolithectomy, Fr...
Malo Denielou - No shard left behind: Dynamic work rebalancing in Apache Beam
Malo Denielou - No shard left behind: Dynamic work rebalancing in Apache Beam
Recently uploaded
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Digital Marketing Trends in 2024 | Guide for Staying Ahead
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
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.
HCL Notes and Domino License Cost Reduction in the World of DLAU
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
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
Skybuffer SAM4U tool for SAP license adoption
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.
Building Production Ready Search Pipelines with Spark and Milvus
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.
Azure API Management to expose backend services securely
How to use Azure API Management to expose backend service securely
Fueling AI with Great Data with Airbyte Webinar
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.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
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!
Recently uploaded (20)
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Azure API Management to expose backend services securely
Azure API Management to expose backend services securely
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
面向引擎——编写高效率JS
- 2. Briefing What's this topic about 杨琦 UCWEB 浏览器研发部
- 3. Topics Scope: – Single-page application – Ajax and Web 2.0 – Download and execute more code as you interact Topics: – Variable Scope Management – Data accessing – Loops & Functions – ASMJS
- 4. Variable Scope Management Scope Chain Matters?
- 5. Scope Chain ? How to find out a variable ? – Variable inside javascript: Data Reference. – How to locate a variable in functions: From Local to Global – What does the VM do before execution a function? 嗗 Create a stackframe before getting into functions 嗗 Reference all the outer function variables by pointers to array in stackframe 嗗 Referencing local variables in stackframe 嗗 Push stackframe into vm's execution context 嗗 All the stackframes => Scope Chain – What does the VM do during execution ?
- 7. Matters ? It really matters? – Testing cases: 嗗 scope chain lookups 嗗 Scope Chain 嗗 Simple Test – ResuIt: It does NOT matter ! Special cases – try/catch – try/catch with fail
- 8. Scope Chain ? Why ? – Just in time compiler! 嗗 All the variables is looked up inside the scope chain as less times as possible. 嗗 Once referenced, cached it! 嗗 Check the type & avaibilities on the fly with minus cost (usually assembly code) – The state of art javascript vm supporting jit! What matters ? – Calling slower routings (exception blow up) – Variable type changed during executions (delete a.b)
- 9. Data accessing Data accessing Matters?
- 10. Ways of data accessing Data variables for accessing – Literal value – Variable – Object property – Array item
- 11. The old report Data variables for accessing – Literal value – Variable – Object property – Array item
- 12. The latest report Data variables for accessing – Variable vs Object property 嗗 Nearly the same. Thanks to hidden class and jit. 嗗 A hidden class is some hint that provide the jit how to access the property data inside a object. – Array item vs Object property 嗗 Object is faster than array in dealing with sparse data.
- 13. Loop & Functions What Matters?
- 14. Loops for (a in b) / forEach – Loops tests – for (A in B )? 嗗 Same: – Pickout A from B each loop – Create reference on the fly 嗗 Diff: – foreach use iterator & generator – for-in track whether this property is enumable. – Using normal while/for loop will be better. For / While – For vs While – It is nearly the same
- 15. Functions Arguments/ Prameters – args vs params – Please using parameters. Function Costs – Function cost 嗗 Creating stackframes. 嗗 Maintaining local variables. 嗗 GC. – Try to inline something
- 16. ASMJS Not ready!
- 17. ASMJS ASMJS ? – an extraordinarily optimizable, low-level subset of JavaScript Performance Boost? – fib normal vs asm 嗗 Using asmjs slower! (Due to compilation overhead) 嗗 DFG etc is enough to find out the data types. – asm vs no-asm Conclusion – Better NOT use it now!
- 18. Rock & Roll Write simple code ! Do not use asmjs now! Use more hint to ignite the v8/squirrelfish !
- 19. Q&A
- 20. THANKS FOR YOUR LISTENING