Using the Microsoft Graph API to get Office 365 data in your mobile apps Alex Ziskind Technical Director @digitalix www.nuvious.com Hi, I’m Alex From + 750 Million 50 Million per month Problems

What can we cover today? oRise of "JavaScript-driven Native" oIntro to NativeScript oNativeScript core concepts o“Hello World” oExtending with plugins oDebugging JavaScript Why are we here? How did NativeScript APIs API Wrapper API Wrapper Plugin s Plugin s API Wrapper API Wrapper API Wrapper API Wrapper • Plugins created with JS/TypeScript • Angular Support (or not ?) • 100% Day 0 API Access Access • Everything Runs on UI Thread* • Plugins created with native code • React Support • API Access via Native Modules • UI Thread vs JS Thread • Angular/Vue/Vanilla vs React • Progress vs Facebook

Library Quick Reference  Founder of the Belgian C++ Users Group (BeCPP) C++204 Agenda  C++23 Core Language  Explicit Object Parameters  if consteval  Multidimensional Subscript Operator  Attributes Containers Heterogeneous Erasure  Removed Features  Garbage Collection SupportC++23 Core Language6 Agenda  C++23 Core Language  Explicit Object Parameters  if consteval  Multidimensional Subscript int n) { if (n < 2) { return n; } return self(n - 1) + self(n - 2); };12 Agenda  C++23 Core Language  Explicit Object Parameters  if consteval  Multidimensional Subscript Operator  Attributes

find_package(OpenCV REQUIRED COMPONENTS core videoio) • 查找名为 OpenCV 的包，找不到就报错，且必须具有 OpenCV::core 和 OpenCV::videoio 这 两个组件，如果没有这两个组件也会报错。 • find_package(OpenCV REQUIRED OPTIONAL_COMPONENTS core videoio) • 查找名为 OpenCV OpenCV 的包，找不到就报错，可具有 OpenCV::core 和 OpenCV::videoio 这两个 组件，没有这两组件不会报错，通过 ${OpenCV_core_FOUND} 查询是否找到 core 组件。 find_package 说是找“包”，到底是在找什么？ • find_package(OpenCV) 实际上是在找一个名为 OpenCVConfig.cmake 的文件。 • 注：出于历史兼容性考虑，除了 Qt5Config.cmake 是你安装 Qt5 时，随 libQt5Core.so 等实际的库文件，一起装到你的 系统中去的。以我的 Arch Linux 系统为例： • 包配置文件位于 /usr/lib/cmake/Qt5/Qt5Config.cmake 。 • 实际的动态库文件位于 /usr/lib/libQt5Core.so 。 find_package 说是找“包 (package)”

rock! ? TJ and Jen ? @tjvantoll @jenlooper What’s new in…. • Core ? • Tooling ? • Plugins ? • Community ? • Apps ? Core ? Core ? • CLI updates ? • Webpack ? • Threading ⛓ • Angular ? LiveSync single threaded, by default ? • Samples for background execution are now available. • WebWorkers API coming soon Angular ? • Angular 2 final—Now 100% more a thing ? @next builds npm install -g nativescript@next

Clarity • Image operation full capabilities • Batch operations Restful API • Complete API for integration • Swagger API doc Replication • Multiple filters support • Schedule, immediate and manual project and system scopes • Mark labels to image and chart Harbor Architecture API Routing API Routing Core Service (API/Auth/GUI) Image Registry Trusted Content Vulnerability Scanning Job Service Key/Value Storage Persistence components Local or Remote Storage (block, file, object) Users (GUI/API) Container Schedulers/Runtimes Consumers LDAP/Active Directory Supporting services Harbor Packaging

Who am I? Still at Microsoft, now on the .NET Core runtime team. • https://github.com/dotnet/runtimeWhat is interoperability? Enabling two or more disparate entities to work together. Don’t touch it with a Garbage Collector (GC). 1. Handles – Level of indirection. • Usually requires a “platform” API to use the memory. • .NET has GCHandle. • JVM, through JNI, exposes most memory as a handle – jobject

GA106 – RTX 3060, GA104 – RTX 3070, GA107 – RTX 3050, Quadro A10, Quadro A16, Quadro A40, A2 Tensor Core GPU https://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/ 更老的版本如 ，而又不希望导回数据到 CPU 导致强制同步影响性能。 这种模式被称为动态并行（ dynamic parallelism ）， OpenGL 有一 个 glDispatchComputeIndirect 的 API 和这个很像，但毕竟没有 CUDA 可以直接在核函数里调用核函数并指定参数这么方便…… 不过，这个功能同样需要开启 CUDA_SEPARABLE_COMPILATION 。 第 2 章：内存管理

of the box, it also provides the knobs needed to fine tune to different cases. Flexible Tokio Core Queue-Based Modules in Tokio • Channel • Scheduler • Tokio uses Channel for communication between Senders Senders Receive Receivers Perf Gaps: CAS(Compare And Swap) can't perfectly scale with core count. Tokio Channel • Each worker has own run queue • Steal when own run queue is empty From Adding new entries from any core or thread • Picking the next entry by any core or thread Conclusion: • DLB channel scales with core count much better than SW channels • Core count >2 shows advantage

能不如 Tokio smol Rayon 并非异步运行时。它通过同步 多线程模型提供了并行迭代器功能， 适用于处理 CPU 密集型计算任务 rayon 现有框架无法完美适配移动端（一） Core Thread Thread Worker Worker task task Local queue Local queue Tokio 采用了如右图这种 GMP 模式： • 一核可以绑定多线程，每个线程拥有一个 queue Core 高权重线程 Worker Worker 任务优先级调度 根据工作线程的优先级进行绑核（大小核） • 高优先级任务在大核执行，高性能 • 低优先级任务在小核执行，节省能耗 Task priority and quality of service Big Core Little Core 高优先级线程 低优先级线程 普通优先级线程 Set core-affinity