Parallel processing for loops and pointer defined outside the loop

In summary, the concept of parallel processing for loops involves executing multiple iterations simultaneously to enhance performance, especially in computational tasks. When pointers are defined outside the loop, they can be used to reference data structures or arrays, allowing for efficient data access and manipulation within the parallelized loop. This approach maximizes resource utilization and reduces execution time, making it ideal for large-scale data processing.
  • #1
mertcan
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Hi everyone; hope you are well. I have a small question: As far as I have searched, for example we can make integer variable defined outside the for loop private for multiple threads, but is it also possible to apply this situation for an integer pointer defined outside the for loop? I mean if a integer pointer have defined outside the for loop, which is gonna be processed with multi thread, then can we make that pointer private for threads? (I am using visual studio 2022 community and include <omp> structures)
 
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  • #2
So you want a variable that is local to a loop accessible outside the loop (and indeed outside the process)? Why do you need one that is simultaneously local and not-local?
 
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  • #3
Not sure what you are asking, but it sounds like you might want a variable with thread local storage class (this one is for C++11, similar construct is available is many other languages). Not sure how that relates to OMP though.
 
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  • #4
Vanadium 50 said:
So you want a variable that is local to a loop accessible outside the loop (and indeed outside the process)? Why do you need one that is simultaneously local and not-local?
Thank you for your kind return, I asked because I try to comprehend the structure behind OMP for my project. Whenever I see, during the privatization for "for loop", an integer or double variable examples take place. I have not see an integer pointer example for privatization. So, is it possible to define a pointer in main function but privatize it just before the parallel processing of for loop?
 
  • #5
I don't understand what you wrote - if you are using an auto-translator, you might want to try a different one.

If your loop is changing the value of a variable, reading the contents of that variable outside the loop is undefined. If the loop is not changing the value of the variable, it should be defined and scoped outside that loop.
 
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mertcan said:
Thank you for your kind return, I asked because I try to comprehend the structure behind OMP for my project. Whenever I see, during the privatization for "for loop", an integer or double variable examples take place. I have not see an integer pointer example for privatization. So, is it possible to define a pointer in main function but privatize it just before the parallel processing of for loop?
If you simply declare the pointer as private, each thread will have its own pointer, but that pointer will point to a random place in memory. If you declare it as firstprivate, the address pointed to will be the same for all thread, i.e., each thread will have its own pointer, put all those pointer point to the same location (so that memory location will not be private).
 
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  • #7
Vanadium 50 said:
I don't understand what you wrote - if you are using an auto-translator, you might want to try a different one.

If your loop is changing the value of a variable, reading the contents of that variable outside the loop is undefined. If the loop is not changing the value of the variable, it should be defined and scoped outside that loop.
Thank you for your nice answer.
 
  • #8
DrClaude said:
If you simply declare the pointer as private, each thread will have its own pointer, but that pointer will point to a random place in memory. If you declare it as firstprivate, the address pointed to will be the same for all thread, i.e., each thread will have its own pointer, put all those pointer point to the same location (so that memory location will not be private).
Thank you DrClaude for your explanatory and kind return. Please correct me if I understand wrong: lets say we have created a pointer using "new" outside the parallel for loop, and you say during the privatization (without firstprivate) of that pointer, each thread will create that pointer regarding random place in memory. But pointers are created by "new" function, so the other threads use the "new" function that we have just employed above?
 
  • #9
mertcan said:
Thank you DrClaude for your explanatory and kind return. Please correct me if I understand wrong: lets say we have created a pointer using "new" outside the parallel for loop, and you say during the privatization (without firstprivate) of that pointer, each thread will create that pointer regarding random place in memory. But pointers are created by "new" function, so the other threads use the "new" function that we have just employed above?
Yes, each thread will create a new instance of the pointer.
 
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Thank you @DrClaude for your valuable return. May I ask a small question related to for loop during parallelization: Lets say we have a nested for loops consisting of 2 for loops (as you know OpenMP does not allow break or goto statements if the loop is parallelized) so if we just parallelize the outer loop, then we can use "break, goto" statements during the inner loop?
 
  • #11
PF is probably not the best resource for learning OpenMP from scratch, especially without seeing your source code or a description of the problem.

If you want to see what your code is actually doing, as opposed to what you think it is oir should be, print omp_get_thread_n.

If you want efficient code, you should use the OMP "collapse" directive. That will preclude jumping out of loops - which is usually not best practice anyway.
 
  • #12
mertcan said:
Lets say we have a nested for loops consisting of 2 for loops (as you know OpenMP does not allow break or goto statements if the loop is parallelized) so if we just parallelize the outer loop, then we can use "break, goto" statements during the inner loop?
I don't see a problem with breaking out of the inner loop or using a goto if the label it goes to is inside the outer loop. The reason you can't break out of a loop is that it is a linear process (it will stop the loop at a given value of the loop variable) that can't be parallelized.
 
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  • #13
DrClaude said:
I don't see a problem with breaking out of the inner loop or using a goto if the label it goes to is inside the outer loop.
Except that it will then only parallelize the outer loop. Usually this gives terrible performance.

Branches within parallel blocks are bad. Gotos and breaks are rarely what you want. Combing the two is a bad idea, especially for novices.
 
  • #14
Thhis is the trouble with "objectified C". If you want to do this in C, you would put this code in a separate module and declare the pointer as "static" (which means that only code in that module can access it).
 
  • #15
The OP seems to have gone, but I don't think he is likely to get good coding advice without some details. Why he wants a pointer (and he is unclear as to its scope) and the ability to break out of a loop is unclear.

If you want decent parallel performance, the 1st step is to clearly think about exactly what you are trying to do. This goes double for OpenMP. I've seen people littering their code with pragma omp statements and all they are doing is making a mess.

Its probably also worth pointing out the not all parallelism is created equal. If I want to go fropm a single threaded program to one that runs with two threads, that's a different kettle of fish than a GPU which could have hundreds.
 

FAQ: Parallel processing for loops and pointer defined outside the loop

1. What is parallel processing in the context of loops?

Parallel processing refers to the simultaneous execution of multiple computations or processes. In the context of loops, it allows iterations of a loop to be executed concurrently across multiple CPU cores or processors, which can significantly speed up the execution time for large datasets or complex calculations.

2. How do pointers defined outside the loop interact with parallel processing?

Pointers defined outside the loop can be shared among the parallel processes. However, care must be taken to ensure that these pointers do not lead to race conditions, where multiple processes attempt to modify the same data simultaneously, potentially causing data corruption or unexpected results.

3. What are the benefits of using parallel processing for loops?

The main benefits of using parallel processing for loops include improved performance and reduced execution time, especially for computationally intensive tasks. By distributing the workload across multiple processors, tasks can be completed more quickly, leading to better resource utilization and efficiency.

4. What are some common pitfalls when using parallel processing with loops and external pointers?

Common pitfalls include race conditions, where multiple threads or processes attempt to read or write to shared data simultaneously, leading to inconsistent results. Additionally, improper synchronization mechanisms can lead to deadlocks or performance bottlenecks. It is crucial to carefully manage data access and ensure that shared resources are properly synchronized.

5. How can I implement parallel processing for loops in programming languages?

Implementation of parallel processing for loops varies by programming language. In languages like Python, you can use libraries such as `multiprocessing` or `concurrent.futures`. In C/C++, you might use OpenMP or C++11 threads. Each of these provides constructs to easily parallelize loop iterations while managing threads or processes effectively.

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