Examples of using Shared variables in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
This is achieved by using shared variables as little as possible.
We can use serialization to control access to shared variables.
This is achieved by using shared variables as rarely as possible.
The Java programming language allows threads to access shared variables.
This is achieved by using shared variables as rarely as possible.
Chapter 9 explains themore traditional aspects of concurrency based on shared variables.
This is achieved by using shared variables as little as possible.
Chapter 9 explains themore traditional aspects of concurrency based on shared variables.
Supporting general, read-write shared variables across tasks would be inefficient.
Shared variables must be carefully protected with locks or other synchronization mechanisms to ensure the correctness of your code.
Supporting general, read-write shared variables across tasks would be inefficient.
Cross-threaded shared variables have only final consistency, unless volatile is modified.
Mutually recursive subroutines must either use shared variables or pass state as parameters.
Although shared variables are fast and simple, they are also more fragile than direct messaging.
In effect, all the processes need to"wrap" their manipulation of the shared variables in acquire() and release() statements for that lock.
Supporting general, read-write shared variables across tasks would be inefficient.
However, Spark does provide two limited types of shared variables for two common usage patterns: broadcast variables and accumulators.
However, Spark does provide two limited types of shared variables for two common usage patterns: broadcast variables and accumulators.
However, Spark does provide two limited types of shared variables for two common usage patterns: broadcast variables and accumulators.
Since condition variables are usually associated with shared variables that determine whether or not the condition is true, they are offer acquire() and release() methods.
First, declare the shared variable to be volatile;
Sharing Variables in Tensorflow.
When you modify a shared variable, the change is not immediately reflected in all the sub-threads.
Consider the following code, where some_obj is a shared variable visible to multiple threads.
How do I use extern to share variables between source files in C?"?
Without those guarantees, lock-free programming would be impossible,since you could never let different threads manipulate a shared variable at the same time.
(c) What partial internalsynchronization can still be required within the shared variable's implementation?
Before an ordinary access to a shared variable is performed, all previous acquires done by the process must have completed successfully.