true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow disposal. 318CHAPTER 25. MULTI-THREADING 319 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 automatically made available on the worker processes.CHAPTER

true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow disposal. 318CHAPTER 25. MULTI-THREADING 319 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 automatically made available on the worker processes.CHAPTER

true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow disposal. 318CHAPTER 25. MULTI-THREADING 319 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 automatically made available on the worker processes.CHAPTER

(_| | | Version 1.13.0-DEV.639 (2025-05-25) _/ |\__'_|_|_|\__'_| | Commit 925d504ade4 (1 day old master) |__/ | julia> 1 + 2 3 julia> ans 3 To exit the interactive session, type CTRL-D (press the true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow 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

true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow 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 Vector{Int64}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automatically made available on the worker processes.CHAPTER

true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow 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 Vector{Int64}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automatically made available on the worker processes.CHAPTER

true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow 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 Vector{Int64}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automatically made available on the worker processes.CHAPTER

true Arithmetic operations with Julia's integer types inherently perform modular arithmetic, mirroring the char- acteristics of integer arithmetic on modern computer hardware. In scenarios where overflow 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 Vector{Int64}: 2 3 Module Distributed must be explicitly loaded on the master process before invoking addprocs. It is automatically made available on the worker processes.CHAPTER

disposal. 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 used

disposal. 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 used