Tasks and Parallel Computing

# Tasks and Parallel Computing ## Tasks ```@docs Core.Task Base.current_task Base.istaskdone Base.istaskstarted Base.yield Base.yieldto Base.task_local_storage(::Any) Base.task_local_storage(::Any, ::Any) Base.task_local_storage(::Function, ::Any, ::Any) Base.Condition Base.notify Base.schedule Base.@schedule Base.@task Base.sleep Base.Channel Base.put!(::Channel, ::Any) Base.take!(::Channel) Base.isready(::Channel) Base.fetch(::Channel) Base.close(::Channel) Base.bind(c::Channel, task::Task) Base.asyncmap Base.asyncmap! ``` ## General Parallel Computing Support ```@docs Base.addprocs Base.nprocs Base.nworkers Base.procs() Base.procs(::Integer) Base.workers Base.rmprocs Base.interrupt Base.myid Base.pmap Base.RemoteException Base.Future Base.RemoteChannel(::Integer) Base.RemoteChannel(::Function, ::Integer) Base.wait Base.fetch(::Any) Base.remotecall(::Any, ::Integer, ::Any...) Base.remotecall_wait(::Any, ::Integer, ::Any...) Base.remotecall_fetch(::Any, ::Integer, ::Any...) Base.remote_do(::Any, ::Integer, ::Any...) Base.put!(::RemoteChannel, ::Any...) Base.put!(::Future, ::Any) Base.take!(::RemoteChannel, ::Any...) Base.isready(::RemoteChannel, ::Any...) Base.isready(::Future) Base.WorkerPool Base.CachingPool Base.default_worker_pool Base.clear!(::CachingPool) Base.remote Base.remotecall(::Any, ::Base.Distributed.AbstractWorkerPool, ::Any...) Base.remotecall_wait(::Any, ::Base.Distributed.AbstractWorkerPool, ::Any...) Base.remotecall_fetch(::Any, ::Base.Distributed.AbstractWorkerPool, ::Any...) Base.remote_do(::Any, ::Base.Distributed.AbstractWorkerPool, ::Any...) Base.timedwait Base.@spawn Base.@spawnat Base.@fetch Base.@fetchfrom Base.@async Base.@sync Base.@parallel Base.@everywhere Base.clear!(::Any, ::Any; ::Any) Base.remoteref_id Base.channel_from_id Base.worker_id_from_socket Base.cluster_cookie() Base.cluster_cookie(::Any) ``` ## Shared Arrays ```@docs Base.SharedArray Base.procs(::SharedArray) Base.sdata Base.indexpids Base.localindexes ``` ## Multi-Threading This experimental interface supports Julia's multi-threading capabilities. Types and functions described here might (and likely will) change in the future. ```@docs Base.Threads.threadid Base.Threads.nthreads Base.Threads.@threads Base.Threads.Atomic Base.Threads.atomic_cas! Base.Threads.atomic_xchg! Base.Threads.atomic_add! Base.Threads.atomic_sub! Base.Threads.atomic_and! Base.Threads.atomic_nand! Base.Threads.atomic_or! Base.Threads.atomic_xor! Base.Threads.atomic_max! Base.Threads.atomic_min! Base.Threads.atomic_fence ``` ## ccall using a threadpool (Experimental) ```@docs Base.@threadcall ``` ## Synchronization Primitives ```@docs Base.Threads.AbstractLock Base.lock Base.unlock Base.trylock Base.islocked Base.ReentrantLock Base.Threads.Mutex Base.Threads.SpinLock Base.Threads.RecursiveSpinLock Base.Semaphore Base.acquire Base.release ``` ## Cluster Manager Interface This interface provides a mechanism to launch and manage Julia workers on different cluster environments. There are two types of managers present in Base: `LocalManager`, for launching additional workers on the same host, and `SSHManager`, for launching on remote hosts via `ssh`. TCP/IP sockets are used to connect and transport messages between processes. It is possible for Cluster Managers to provide a different transport. ```@docs Base.launch Base.manage Base.kill(::ClusterManager, ::Int, ::WorkerConfig) Base.init_worker Base.connect(::ClusterManager, ::Int, ::WorkerConfig) Base.process_messages ```

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