sincron | Concurrency tools for Scala , with equivalents | Functional Programming library

1. There is nothing incorrect about using both, as long as rand is not called concurrently.

2. It's unclear what you consider as "fine" or "a good idea". It's fine in the sense that you will get different random number sequences produced for each seed. It's a bit nonsensical in that you only generate a single random number from each seed (which means the generated numbers will all likely follow a very predictable pattern, as do your seeds).

3. There are no race conditions, so it is safe. Parallelization for < 100 calls of a (presumably) simple arithmetic method is not going to be worth it from a performance perspective, but that's not what you're asking about.

All in all, this code has no formal correctness problems. Whether it fulfills whatever purpose you would like it to fulfill is a different question. Take note that rand (and rand_r) tend to be only very superficially random¹, so the predictability mentioned in point 2 is just more of the same. See also Why is rand()%6 biased? for yet another quality-of-randomness issue in the code. In other words, be aware that the randomness you are producing here is lacking for many applications.

^{1Assuming that unsigned int has 32 bits, there are only 32 bits of state for the PRNG, so it will repeat after (at most) 232 calls anyway (which is trivial to brute-force).}

In order to do zoom interaction you have placed an invisible rectangle over your plot area:

I have updated your StackBlitz example here.

Here are the key steps:

1. Import the Angular RouterModule into your app:

You can consider something like this:

You need to perform the serialization task into another thread.

Explanation:

1. Here you will first create a backgroundworker (global or local your choice).
2. you will call PerformSerialize() from the place where you are calling serialize() as of now which will call bgworker_dowork which will initiate a separate thread.
3. you need to change structure of your UpgradeProgress method structure as I have shown to make it thread safe(Read this).

here is sample code which may help you

Try this changes:

Change Your Root layout To LinearLayout or Coordinator Layout-- As framelayout sometimes consume the click event of items under it.

1.in onCreateOptionsMenu()

Can threadfence and volatile help the compiler to flush the data and release the registers?

Probably in some cases. You seem to be already suggesting in your question that you have confirmed that this is the case. I would generally consider this not a vary productive form of optimization (fighting against the compiler) but that's just an opinion or a personal preference. There's not enough here to actually pose an experiment or provide a concrete answer.

"releasing" registers in this fashion is just exchanging register use for some form of data load/store traffic. That is normally not a win, and the compiler generally tries to avoid that. You may have found a case where you can do slightly better. This kind of compiler optimization process can be fairly complex, and the current state of the art does not guarantee optimality. It only tries to achieve that in a reasonable amount of computation time. If you think you have found an egregious counter-example, then you may want to file a bug at developer.nvidia.com, with a full compilable code necessary to witness the issue, along with both cases identified for comparison. Of course you're welcome to file a bug under any circumstances, but I'm not sure a 5% observation will garner much attention.

If the shared memory is used only as a thread cache (no data is exchanged using SMEM among threads), it is safe to rely in the execution order? I mean, if one instruction change the SMEM in a specific address, and some other instruction latter in the code read it in the very same thread without any global call, is necessary to worry about fences/sincronization?

It is is not necessary to worry about fences or synchronization, if the shared memory usage is restricted to a single thread (i.e. no use of shared memory to share data between threads.) In that case, the single threaded C/C++ programming model applies, and you can be confident that if the thread saves a value to shared memory and then loads that value later, it will get the correct value.

Amazon RDS's Multi-AZ feature works at the instance-level only. It's not possible to selectively sync at the database level or the table level.

If this is a big concern, you could separate such tables onto a different RDS instance that is not Multi-AZ.

I think you would be best using a VLOOKUP instead of the search.