Go 1.4 runtime Gopher China 2015 1. Memory Allocator 2. Garbage Collector 3. Goroutine Scheduler 1. Memory Allocator 内存分配器 base on tcmalloc. 基于成熟方案，性能优秀。随着版本升级， 针对性改进，以期与垃圾回收器更好协作。 核心：自主管理，缓存复用，无锁分配。 阈值触发，并行标记，并发清理。 定期强制回收，释放物理内存。 版本升级，垃圾回收效率总是核心问题。 gogc. 阈值检查，或强制回收。 malloc next_gc 0 gogc runtime.gc() stop start mark sweep stop start mark sweep 0 2 2 1 forcegc 2m 1 mark. 暂停用户逻辑，并行标记。 scheduler thread processor goroutine max. 系统限制，允许调整。 runtime.GOMAXPROCS 调整 P 数量，会导致 G 任务队列重新分布。 M G P scheduler max = 10000 max = 256 runtime/debug.SetMaxThreads 超出限制，会导致进程崩溃。 newproc. 创建新并发任务。

Rust 异步 Runtime 的兼容层 施继成 @ DatenLord Introduce what’s rust async runtime # Rust async runtime Analyze the reason of runtime isolation # Async runtime binding # Compatible layer 1 Create a wheel 2 3 # Rust async runtime 1 Light-weight task • Language and compiler define tasks • How to run it? • When to run it? • How does it deal with the I/O? Rust async runtime Runtime responsibilities it’s multi-thread model Rust async runtime Available Runtimes • Tokio • Async-std • Smol • Monoio Rust async runtime # Async runtime binding 2 Which runtime to choose ? • More adopters • Rich

Designing an ultra low-overhead multithreading runtime for Nim Mamy Ratsimbazafy mamy@numforge.co Weave https://github.com/mratsim/weave Hello! I am Mamy Ratsimbazafy During the day blockchain/Ethereum multithreading: definitions and use-cases ◇ Parallel APIs ◇ Sources of overhead and runtime design ◇ Minimum viable runtime plan in a weekend 4 Understanding the design space Concurrency vs parallelism hardware threads The same distinctions can be done at a multithreaded language or multithreading runtime level. The problem 8 How to schedule M tasks on N hardware threads? Latency vs Throughput

company. Ⓡ © 2021 Apex.AI, Inc. Igor Bogoslavskyi Testing the compilability of the code at runtime© 2021 Apex.AI, Inc. Errors have a high cost, so rigorous testing is a must We use increasingly

with full support for hot code- language with full support for hot code- reloading at runtime reloading at runtime by Viktor Kirilov 1 Me, myself and I Me, myself and I my name is Viktor Kirilov - fine-tuning values interactive (REPL-like): very useful for exploration and teaching Runtime compilation - WHY Runtime compilation - WHY 33 replacing entire functions: using shared libraries OR hot-patching: https://github.com/ddovod/jet-live http://bit.ly/runtime-compilation-alternatives cling inspector Jupiter RCRL Runtime compilation for C/C++: HOW Runtime compilation for C/C++: HOW 34 Replace "compiling"

实现密码与安全协议的优势与现状 Introduction to Shangmi Algorithms and Protocols #2 国密算法与协议介绍 Huawei Ylong Rust Cryptographic Framework #4 华为 Ylong Rust 密码库 国密算法总览 Overview to Shangmi Cryptography Section #1 • 密码算法安全目标 • 智能指针 && RAII 生命周期 所有权系统 Channel 共享状态 所有权 Send && Sync Trait 编译器静态检查 高可靠 1 2 3 ü 无GC、无Runtime、无解释器 ü 零成本抽象 ü 后端LLVM优化 ü 支持C-ABI的FFI方式 ü 支持自定义内存分配器 Rust性能基本和C、C++持平，适用于系统级编程领域 ü 强大编译器 ü 社区中，对于下载量超过 1W 且 半年内有更新、在维护期的国密套件库，仅有 RustCrypto 和 libsm，未审核，且缺少安全协议功能支 持，在性能上也可以进一步优化。 华为 Ylong Rust 密码库 Huawei Ylong Rust Cryptographic Framework Section #4 • 使用 Rust 实现国密框架 • 国密算法在安全协议中的应用 使用 Rust 实现国密框架

Rust Runtime in Mobile Overview of asynchronous Rust #1 Rust 异步简介 Ylong async runtime #3 Ylong Runtime 并发框架 目录 Table of Contents #2 社区并发框架介绍以及与移动端的不适配性 Introduction to third party Runtime crates task Queue wake Worker Future.poll() Reactor fd fd listen listen find 现有并发框架 Third Party Runtime 目前 Rust 社区最广泛使用的事件 驱动型调度框架，擅长处理大量异 步 IO 的场景。具有非常强大的生 态。 tokio 第一个适配 Rust async/await 原语 的运行时库，与 只持有一个本地 FIFO 队列 移动端诉求：优先级 • 任务区分优先级： UI 显示 vs 后台下载 • 大小核调度 Incompatibility of the third party Runtime with Mobile 现有框架无法完美适配移动端（二） 移动端诉求：易用性 • IO 密集性任务与 CPU 密集型任务融合 异步并发框架如 tokio 大多用于处理大量 异步 IO 场景，而

2022 – 2023, Shanghai, China Rust China Conf 2022 – 2023, Shanghai, China Rust 与终端 HTTP 通信场景结合 我们 Ylong HTTP 客户端库当 前实现的基础功能： ✓ 支持同步逻辑和异步逻辑 ✓ 支持 HTTP/1.1、HTTP/2、 HTTP/3 协议及其组件 ✓ 支持 HTTPS ✓ 支持客户端代理 ✓

package data files 1.3.5. Checking runtime key periodically 1.3.6. Binding to many machines 1.3.7. Using outer file to store runtime key 1.3.8. Localization runtime error 1.3.9. Packing obfuscated scripts 4.7. Internationalization runtime error message 1.4.8. Generating cross platform scripts 1.4.9. Obfuscating scripts for multiple Python versions 1.4.10. Using shared runtime package 1.5. Customization Customization and Extension 1.5.1. Changing runtime package name 1.5.2. Appending assert functions and modules 1.5.3. Using plugin to fix loading issue in darwin 1.5.4. Using hook to bind script to docker id 1.5

object to protect constants and literal strings. Obfuscate co_code of each function (code object) in runtime. Clear f_locals of frame as soon as code object completed execution. Verify the license file of obfuscated PyUpdater Binding obfuscated scripts to Python interpreter Customizing cross protection code Storing runtime file license.lic to any location Register multiple pyarmor in same machine How to get license information config build info check banchmark register download runtime Understanding Obfuscated Scripts Global Capsule Obfuscated Scripts Bootstrap Code Runtime Package The License File for Obfuscated Script Key