frames on the CPU timeline. 4445 COROUTINE JOB SYSTEM isa::await_suspend Scheduler Worker Worker Worker Worker Job Queue Job Queue Job Queue Job coroutine_handle Job::Job *isa == initial_suspend_awaitable final_suspend And voila! This is our system. 4546 isa::await_suspend Scheduler Worker Worker Worker Worker Job Queue Job Queue Job Queue Job coroutine_handle Job::Job *isa == initial_suspend_awaitable glues our system and coroutine semantics together. 4647 isa::await_suspend Scheduler Worker Worker Worker Worker Job Queue Job Queue Job Queue Job Job::Job *isa == initial_suspend_awaitable get_return_object

C B HPQ LPQ Worker 1 GPU stream Worker 2 Block Poll Enqueue Steal Offload Callback Polling Wait Query • Assume two CPU threads (workers) and one GPU stream • Each worker has: High-priority the same worker as soon as possible to avoid another worker stealing the task 60Taro’s Scheduler Taro: https://github.com/dian-lun-lin/taro D A C B HPQ LPQ A Worker 1 GPU stream Worker 2 Block Offload Callback Polling Wait Query • Assume two CPU threads (workers) and one GPU stream • Each worker has: High-priority queue (HPQ): store suspended tasks Low-priority queue (LPQ): store

operation, tag match, stream27 典型的RDMA栈28 UCX 编程的一些基本概念 ●Context –收集机器资源（内存，网卡等)，在应用的各个部分共享 ●Worker –完成ucx的功能，可以在应用程序中调用的函数（不是单独执行的线程） ●Listener –接收连接请求 ●Ep –连接对象，在ep上请求发送和接收29 UCP 消息接口类型 ●Active –消息异步发送 ●Tag –MPI使用 ●Stream –官方不推荐30 WORKER ●worker是UCX通讯中的核心概念，它是一个进度引擎(progress engine) ●worker既不是协程也不是线程，而是一个状态机，可以通过不停地调用 ucp_worker_progress(worker)完成功能。如果你用过libuv或者libevent的evbuffer，它们有点 像 就可完成buffer自动读写。31 WORKER ●Busy poll –Busy poll可以有效降低时延，但是在空闲时浪费CPU ●Wait –会增加时延，但是节省CPU使用 ●通过ucp_worker_get_efd(*ucp_worker, efd)获得轮询文件句柄 ●调用poll(efd)等待有任务执行，然后再调用ucp_worker_progress() ●/dev/cpu_dma_latency

Loading Packages . . . . . . . . . . . . . . . . . . . . . . . . 312 25.2 Starting and managing worker processes . . . . . . . . . . . . . . . . . . . . . . . 314 25.3 Data Movement . . . . . . . . -t/--threads is propagated to worker processes that are spawned using the -p/--procs or --machine-file command line options. For example, julia -p2 -t2 spawns 1 main process with 2 worker processes, and all three three processes have 2 threads enabled. For more fine grained control over worker threads use addprocs and pass -t/--threads as exeflags. Multiple GC Threads The Garbage Collector (GC) can use multiple

Loading Packages . . . . . . . . . . . . . . . . . . . . . . . . 312 25.2 Starting and managing worker processes . . . . . . . . . . . . . . . . . . . . . . . 314 25.3 Data Movement . . . . . . . . -t/--threads is propagated to worker processes that are spawned using the -p/--procs or --machine-file command line options. For example, julia -p2 -t2 spawns 1 main process with 2 worker processes, and all three three processes have 2 threads enabled. For more fine grained control over worker threads use addprocs and pass -t/--threads as exeflags. Multiple GC Threads The Garbage Collector (GC) can use multiple

中需要 size 个元素，预先进行分配比仅仅 Vec::new 要稍微有效率一些， 因为 Vec::new 随着插入元素而重新改变大小。 如果再次运行 cargo check，它应该会成功。 Worker 结构体负责将代码从 ThreadPool 传递给线程 示例 21-14 的 for 循环中留下了一个关于创建线程的注释。这里，我们来看看如何实际创建 线程。标准库提供了 thread::spawn 据类型来管理这种新行为。这个数据结构称为 Worker，这是一个池实现中的常见概念。 Worker 会获取需要运行的代码，并在该 worker 的线程中运行该代码。 想象一下在餐馆厨房工作的员工：员工等待来自顾客的订单，他们负责接单并完成它们。 不同于在线程池中储存一个 JoinHandle<()> 实例的 vector，我们会储存 Worker 结构体的实 例。每一个 Worker 会储存一个单独的 JoinHandle<()> JoinHandle<()> 实例。接着会在 Worker 上实现一个方 法，该方法将闭包发送到已经运行的线程中执行。我们还会赋予每个 worker 一个 id，这样 就可以在日志和调试中区别线程池中的不同 Worker 的实例。 如下是创建 ThreadPool 时会发生的新过程。在通过如下方式设置完 Worker 之后，我们会实现 向线程发送闭包的代码： 1. 定义存放 id 和 JoinHandle<()>

Loading Packages . . . . . . . . . . . . . . . . . . . . . . . . 331 26.2 Starting and managing worker processes . . . . . . . . . . . . . . . . . . . . . . . 333 26.3 Data Movement . . . . . . . . -t/--threads is propagated to worker processes that are spawned using the -p/--procs or --machine-file command line options. For example, julia -p2 -t2 spawns 1 main process with 2 worker processes, and all three three processes have 2 threads enabled. For more fine grained control over worker threads use addprocs and pass -t/--threads as exeflags. Multiple GC Threads The Garbage Collector (GC) can use multiple

Loading Packages . . . . . . . . . . . . . . . . . . . . . . . . 331 26.2 Starting and managing worker processes . . . . . . . . . . . . . . . . . . . . . . . 333 26.3 Data Movement . . . . . . . . -t/--threads is propagated to worker processes that are spawned using the -p/--procs or --machine-file command line options. For example, julia -p2 -t2 spawns 1 main process with 2 worker processes, and all three three processes have 2 threads enabled. For more fine grained control over worker threads use addprocs and pass -t/--threads as exeflags. Multiple GC Threads The Garbage Collector (GC) can use multiple

Loading Packages . . . . . . . . . . . . . . . . . . . . . . . . 331 26.2 Starting and managing worker processes . . . . . . . . . . . . . . . . . . . . . . . 333 26.3 Data Movement . . . . . . . . -t/--threads is propagated to worker processes that are spawned using the -p/--procs or --machine-file command line options. For example, julia -p2 -t2 spawns 1 main process with 2 worker processes, and all three three processes have 2 threads enabled. For more fine grained control over worker threads use addprocs and pass -t/--threads as exeflags. Multiple GC Threads The Garbage Collector (GC) can use multiple

Loading Packages . . . . . . . . . . . . . . . . . . . . . . . . 335 26.2 Starting and managing worker processes . . . . . . . . . . . . . . . . . . . . . . . 337 26.3 Data Movement . . . . . . . . Starting Julia with multiple threads By default, Julia starts up with 2 threads of execution; 1 worker thread and 1 interactive thread. This can be verified by using the command Threads.nthreads(): MULTI-THREADING 322 Julia 1.12 Starting by default with 1 interactive thread, as well as the 1 worker thread, was made as such in Julia 1.12 If the number of threads is set to 1 by either doing -t1