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There are jobs running on the GPU, and if I run another code on top of it, the code stops at the point of cudaDeviceSynchronize(). Why does this happen?
Currently only one process is allowed to use a GPU at a given point in time. There is no fairness nor quantum to kill a ''job'' in case it runs for hours in a GPU. The basic usage is first come first serve.
But you may use the CUDA Multi-Process Service (MPS). It basically allows multiple processes to share a single gpu
https://docs.nvidia.com/deploy/pdf/CUDA_Multi_Process_Service_Overview.pdf
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I was wondering how MySQL (and other databases for that matter) work under the hood. Do they use standard C I/O calls like fseek to find a record?
Here is the link to the source code. From a quick review of the file I can confirm that there are multiple check that is been done before and after an insert. It's actually a great idea to review the whole file very interesting.
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I have recently been thinking about one of my websites. It's getting big and gaining a community and I have realized; how would I implement new features. Would I code instantly on the website or would I have to pull a backup and code on it then put it back up on the server. Because both methods seem to be inefficient.
Would there be a way that I can do such a thing, like a version system (similar to apps)?
Create a duplicate, test your code until you're satisfied. Check the edge cases. Try to break it. Then, when you're sure it's solid, roll it out to your users during very light usage because you might need to turn off the whole site during the upgrade.
Testing, testing, testing is they key.
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What is messaging queue and why its required?
What will be advantage if we will use messaging queue ?
i have checked http://en.wikipedia.org/wiki/Message_queue.
To decouple front and backend processes in an asynchronous message.
Not something you need for a mom and pop eocommerce shop, but something you use when youa re amazon, for example
Order comes in, submit it to a queue for processing. Have other computers in the back process is async.
This gives ou scalability (multiple backend computers) and resilience (backend down you can still push things into the queue). You can not have scalability or high uptime in these scenarios without a queue based system.
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On Linux, can you ensure that MySQL leaves one core free?
(We have a small Python server that can become unresponsive when MySQL running on the same box is under load.)
3 ways I can think of...
Use the command taskset.
This command will "fix" specific core (or list of cores) to a specific process.
Consult the man page how to use it
Create Virtual machine on your "little" server and run the mysql on that VM.
This will promiss more stability to both services
Use the "nice" values to make sure the python priority is higher then the mysql priority.
(This solution is the least recommanded of all three, but in some cases it can be valid)
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Do any languages that support retry constructs in exception handling track and expose the number of times their catch/rescue (and/or try/begin) blocks have been executed in a particular run?
I find myself counting (and limiting) the number of times a code block is re-executed after an exception often enough that this would be a handy language built-in.
This is a really interesting question. I did a little research and apparently there is a design pattern called the circuit breaker pattern which was developed to handle such things. I have never heard of the pattern before and can't find much information about it.
There is a library which handles retrying an event for .NET available, might be worth a look. Heres a link to an article about it:
http://www.tobinharris.com/past/2009/1/26/net-circuit-breakers/