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Can atomic functions be placed inside if conditions or for loops in OpenCL. If possible can someone provide me with an example kernel?
Yes, they can.
There's no special lock-step requirement for atomic functions like there is for barriers.
It's common to reduce a group-wide result of a calculation, and then only one work-item from the group updates the global buffer with this sub-result.
if (get_local_id(0) == 0)
atomic_add(result_ptr, group_result);
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I apologize if the title is a little confusing, but hopefully that highlights the point of my question. If a method has recursively called itself multiple times and some base case is reached that causes all recursive calls to return/'undo', what would be a proper term to describe that?
Exiting, undoing, and unraveling recursion all come to mind, but I'm mostly wondering if there's an agreed upon term for it that I can use in comments. Thanks!
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When should one consider using a metamodel in place of an expensive analysis component? I haven't actually seen an example of an openMDAO project that uses metamodels yet, so I was wondering if they're recommended or whether it's still best to treat expensive analyses like normal ones.
Using a metamodel is a trade-off. You trade accuracy vs execution time so it is up to you in your context.
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I was doing RSA private key decrypt,but this big number always give me infinite or NaN,how to calculate it programmably?
Big integers are not primitives in most programming language, but many of them have a BigInt or BigInteger class.
Usually, there are specialized implementation for speeding up that power/modulus operation, rather than a simplistic implementation.
You have to specify the desired programming language for suggesting a complete bit integer library.
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What is the difference between function and procedure in PL/SQL?
No, it is not. In PL/SQL functions return data, procedures do not. In C for example both are called functions.
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Can you please provide a specific situation illustrating when a for loop might work more effectively than the more commonly cited apply suite of solutions?
If the results of the previous computation are used in the next computation, it is appropriate to use a for loop, since this behavior is difficult to replicate with lapply (you would have to use something like Reduce). R is not necessarily slow with for loops, merely with memory allocation (which is easy to get wrong with for loops). See Chapter 2 of the R Inferno.