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Source channel @nextech666 · Post #310 · 8月30日

#H5游戏#cocos#pixi#layabox H5游戏客户端工程师 薪资待遇:面议,依资历谈薪 简历投递窗口:@jiesi997@nownow168@tung51688 工作职责: 职责一:开发工作 任务1、使用Egret进行项目相关功能模块的开发; 任务2、根据项目需求,进行游戏程序设计及开发工作; 职责二:协调工作 任务1、与服务器后端工程师沟通设计网络通信协议等; 任务2、与项目组策划、美术人员共同讨论开发需求及设计游戏实现细节,保证产品质量和进度; 任职要求 1、5年以上相关工作经验,1年以上Egret、Layabox、Coocs2d-js、pixi等其中一种或多种引擎开发经验,egret引擎优先; 2、熱练掌握 Javascript/Typescript语言、es6 语法,良好的OOP编程思想,熱悉各种前端调试工具,熱悉js性能优化: 3、熱悉 canvas和webgl图形学原理,熟悉CSS布局规苑等前端常规知识; 4、熟悉WebSocket 和 HTTP/HTTPS等网络协议,精通常用数据结构和算法: 5、熟悉H5游戏性能优化,善于解决跨浏览器和移动设备兼容性问题; 6、具有良好的编码规范,善于思考,具有极强的学习能力和独立解决问题的能力,能对团队代码质量负责;

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Android Broadcast

@android_broadcast · Post #8812 · 2025/03/15 08:23

Какие преимущества даст переход на Vulkan для отрисовки UI в Android? 🚀Производительность: Vulkan обеспечивает более эффективную работу с GPU и CPU, сокращая оверхед и повышая FPS. Лучше работает во множество поток 🔋Энергоэффективность: Снижение нагрузки на процессор ведёт к заметной экономии заряда аккумулятора. ⛏️Контроль и гибкость: Разработчики получают больше возможностей для тонкой настройки графического рендеринга и оптимизации приложений. ✅Кроссплатформенность: Vulkan поддерживается на многих платформах, что облегчает переносимость кода и улучшает совместимость приложений. Аналогичный переход сделала Apple, когда отказалась от OpenGL ES в iOS, заменив его на API Metal, которое призвано выполнять аналогичные функции, что и Vulkan. #android#vulkan

AzTV

@aztv_resmi · Post #44951 · 2026/02/25 08:03

🔴 Güclü partlayış baş verən palçıq vulkanından yeni görüntülər #AZTV#vulkan#palçıq

Android Broadcast

@android_broadcast · Post #8811 · 2025/03/15 06:00

‼️Vulkan станет основной технологий для рендеринга UI в Android Начиная, с Android 17 большая часть устройств перейдет на рендеринг UI с OpenGL ES на Vulkan, а поддержку OpenGL будет убрана и станет доступна через ANGLE для трансляции команд в Vulkan. #android#android17#vulkan#opengl

GitHub Trends

@githubtrending · Post #15604 · 2026/04/06 11:30

#java#minecraft#minecraft_mod#vulkan#vulkan_renderer VulkanMod is a Fabric mod that replaces Minecraft Java's old OpenGL renderer with a modern Vulkan 1.2 engine, cutting CPU overhead, boosting GPU performance, and adding features like Wayland support and chunk optimizations for much higher FPS and smoother gameplay. Install Fabric loader, download the .jar from Modrinth or CurseForge, and drop it in your .minecraft/mods folder to enjoy lag-free worlds and better hardware use right away—perfect for high-res packs or busy servers. https://github.com/xCollateral/VulkanMod

GitHub Trends

@githubtrending · Post #14810 · 2025/06/08 14:00

#rust#d3d12#gpu#hacktoberfest#metal#opengl#rust#vulkan#webgpu **wgpu** is a powerful graphics library for Rust that works on many platforms, including Windows, macOS, Linux, and the web. It supports various graphics APIs like Vulkan, Metal, and DirectX. This library is safe and portable, making it easy to create graphics and compute applications. Using **wgpu**, you can build fast and efficient graphics programs that run on different devices and browsers, which is beneficial for developers who want to create cross-platform applications. https://github.com/gfx-rs/wgpu

GitHub Trends

@githubtrending · Post #14766 · 2025/05/30 12:30

#cplusplus#best_practices#cpp#graphics#graphics_programming#khronos#tutorials#vulkan#vulkan_api#vulkan_samples Vulkan is a powerful tool for creating high-performance graphics and computing applications. It helps developers control the GPU better, which can lead to faster and more efficient performance compared to older systems like OpenGL. Vulkan is special because it works on many different platforms, such as Windows, Linux, and Android. This means developers can create applications that run smoothly across various devices. The Vulkan Samples provide resources and tutorials to help developers learn and optimize their applications, making it easier to create high-quality graphics and computing experiences. https://github.com/KhronosGroup/Vulkan-Samples

GitHub Trends

@githubtrending · Post #14659 · 2025/05/01 15:30

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN