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multithreading    
多线程

多线程

multithreading
多(执行)路线(操作);多流(操作) M/T

multithreading
多线

Sharing a single {CPU} between multiple tasks (or
"threads") in a way designed to minimise the time required to
switch threads. This is accomplished by sharing as much as
possible of the program execution environment between the
different threads so that very little state needs to be saved
and restored when changing thread.

Multithreading differs from {multitasking} in that threads
share more of their environment with each other than do tasks
under multitasking. Threads may be distinguished only by the
value of their {program counters} and {stack pointers} while
sharing a single {address space} and set of {global
variables}. There is thus very little protection of one
thread from another, in contrast to multitasking.

Multithreading can thus be used for very fine-grain
multitasking, at the level of a few instructions, and so can
hide {latency} by keeping the processor busy after one thread
issues a long-latency instruction on which subsequent
instructions in that thread depend.

A {light-weight process} is somewhere between a thread and a
full process.

{TL0} is an example of a threaded machine language.
{Dataflow} computation (E.g. {Id} and {SISAL}) is an extreme
form of multithreading.

(1997-12-23)


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  • multithreading - What is a multithreaded application . . . - Stack Overflow
    Multithreading is a mechanism of programing that you can implement in order to gain a remarkable time so a Multithreading application is an application that uses more than two threads for two processor or more and it doesn't make sense to have more threads than processor it should be the same
  • What is multithreading? - IONOS
    In the case of multithreading, a higher degree of simultaneity is aimed for The technology primarily aims to speed up individual programs While multitasking enables different programs to run side-by-side, multithreading involves multiple threads from the same program The simultaneous processing of threads ensures that the software runs faster
  • multithreading - How do I use threading in Python? - Stack Overflow
    Since this question was asked in 2010, there has been real simplification in how to do simple multithreading with Python with map and pool The code below comes from an article blog post that you should definitely check out (no affiliation) - Parallelism in one line: A Better Model for Day to Day Threading Tasks I'll summarize below - it ends
  • How exactly does multithreading work? - Stack Overflow
    Multithreading lets run more than one thread at once On a multicore machine, this means two threads can really run in parallel, doing twice the work they'd do running one at a time Ideally, on a 4 core machine, with 4 threads you'll get almost 4 times as much work done as with a single thread
  • multithreading - Threading vs Parallelism, how do they differ? - Stack . . .
    Multithreading is a concrete implementation of the concept of parallel program execution The article RichardOD linked to seems to be mainly concerned with whether threads are actually executed in parallel on a concrete machine
  • multithreading - JavaScript and Threads - Stack Overflow
    Achieve multithreading in javascript 0 Multithreading javascript 0 How to use multiple threads in
  • python - multiprocessing vs multithreading vs asyncio - Stack Overflow
    Multithreading in Python does not offer true parallelism due to GIL limitation Asyncio Asyncio works on co-operative multitasking concepts Asyncio tasks run on the same thread so there is no parallelism, but it provides better control to the developer instead of the OS which is the case in multithreading
  • multithreading - How to Multi-thread an Operation Within a Loop in . . .
    First, in Python, if your code is CPU-bound, multithreading won't help, because only one thread can hold the Global Interpreter Lock, and therefore run Python code, at a time So, you need to use processes, not threads
  • multithreading - Threading Best Practices - Stack Overflow
    Multithreading also comes with disadvantages The biggest is that it can lead to vastly more complex programs Having multiple threads does not in itself create complexity; it's the interaction between the threads that creates complexity
  • Asynchronous vs Multithreading - Is there a difference?
    Does an asynchronous call always create a new thread? What is the difference between the two? Does an asynchronous call always create or use a new thread? Wikipedia says: In computer programming,





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