Julia 1.2.0 DEV Documentation| (_| | | Version 1.2.0-DEV.672 (2019-04-10) _/ |\__'_|_|_|\__'_| | Commit 18be616722 (1 day old master) |__/ | julia> 1 + 2 3 julia> ans 3 To exit the interac�ve session, type CTRL-D (press the Control/^ verify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the func�on Threads.threadid julia> Threads.threadid() 1 32.2 The @threads Array{Int64,1}: 2 3 33.3. DATA MOVEMENT 287 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automa�cally made available on the worker processes. Note0 码力 | 1252 页 | 4.28 MB | 1 年前3
Julia v1.2.0 Documentationverify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the func�on Threads.threadid julia> Threads.threadid() 1 31.2 The @threads Array{Int64,1}: 2 3 32.3. DATA MOVEMENT 285 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automa�cally made available on the worker processes. Note have realized, while memory associated with globals may be collected when they are reassigned on the master, no such ac�on is taken on the workers as the bindings con�nue to be valid. clear! can be used to0 码力 | 1250 页 | 4.29 MB | 1 年前3
Julia v1.1.1 Documentationverify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the func�on Threads.threadid julia> Threads.threadid() 1 31.2 The @threads Array{Int64,1}: 2 3 32.3. DATA MOVEMENT 285 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automa�cally made available on the worker processes. Note have realized, while memory associated with globals may be collected when they are reassigned on the master, no such ac�on is taken on the workers as the bindings con�nue to be valid. clear! can be used to0 码力 | 1216 页 | 4.21 MB | 1 年前3
Julia 1.1.0 Documentationverify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the func�on Threads.threadid julia> Threads.threadid() 1 31.2 The @threads Array{Int64,1}: 2 3 32.3. DATA MOVEMENT 283 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automa�cally made available on the worker processes. Note have realized, while memory associated with globals may be collected when they are reassigned on the master, no such ac�on is taken on the workers as the bindings con�nue to be valid. clear! can be used to0 码力 | 1214 页 | 4.21 MB | 1 年前3
Julia 1.7.0 DEV Documentation(_| | | Version 1.7.0-DEV.562 (2021-02-17) _/ |\__'_|_|_|\__'_| | Commit 55d7571a5d* (0 days old master) |__/ | julia> 1 + 2 3 julia> ans 3 To exit the interactive session, type CTRL-D (press the verify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the function Threads.threadid julia> Threads.threadid() 1 Note If you addprocs(2) 2-element Array{Int64,1}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is auto- matically made available on the worker processes.0 码力 | 1399 页 | 4.59 MB | 1 年前3
Julia 1.6.0 DEV Documentation(_| | | Version 1.6.0-DEV.1536 (2020-11-20) _/ |\__'_|_|_|\__'_| | Commit 5be3e27e02 (0 days old master) |__/ | julia> 1 + 2 3 julia> ans 3 To exit the interactive session, type CTRL-D (press the verify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the function Threads.threadid julia> Threads.threadid() 1 Note If you addprocs(2) 2-element Array{Int64,1}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is auto- matically made available on the worker processes.0 码力 | 1383 页 | 4.56 MB | 1 年前3
Julia 1.5.0 DEV Documentation(_| | | Version 1.5.0-DEV.631 (2020-04-15) _/ |\__'_|_|_|\__'_| | Commit fac1d57b79 (0 days old master) |__/ | julia> 1 + 2 3 julia> ans 3 To exit the interactive session, type CTRL-D (press the verify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the function Threads.threadid julia> Threads.threadid() 1 Note If you addprocs(2) 2-element Array{Int64,1}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is auto- matically made available on the worker processes.0 码力 | 1340 页 | 4.36 MB | 1 年前3
Julia 1.8.0 DEV Documentation(_| | | Version 1.8.0-DEV.1505 (2022-02-12) _/ |\__'_|_|_|\__'_| | Commit e422590151 (9 days old master) |__/ | julia> 1 + 2 3 julia> ans 3 To exit the interactive session, type CTRL-D (press the verify there are 4 threads at our disposal. julia> Threads.nthreads() 4 But we are currently on the master thread. To check, we use the function Threads.threadid 271 CHAPTER 24. MULTI-THREADING 272 julia> addprocs(2) 2-element Array{Int64,1}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is auto- matically made available on the worker processes.0 码力 | 1463 页 | 5.01 MB | 1 年前3
julia 1.10.10disposal. julia> Threads.nthreads() 4 300CHAPTER 24. MULTI-THREADING 301 But we are currently on the master thread. To check, we use the function Threads.threadid julia> Threads.threadid() 1 Note If you addprocs(2) 2-element Array{Int64,1}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automatically made available on the worker processes. Note realized, while memory associated with globals may be collected when they are reas- signed on the master, no such action is taken on the workers as the bindings continue to be valid. clear! can be used0 码力 | 1692 页 | 6.34 MB | 3 月前3
Julia 1.10.9disposal. julia> Threads.nthreads() 4 300CHAPTER 24. MULTI-THREADING 301 But we are currently on the master thread. To check, we use the function Threads.threadid julia> Threads.threadid() 1 Note If you addprocs(2) 2-element Array{Int64,1}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automatically made available on the worker processes. Note realized, while memory associated with globals may be collected when they are reas- signed on the master, no such action is taken on the workers as the bindings continue to be valid. clear! can be used0 码力 | 1692 页 | 6.34 MB | 3 月前3
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