Portable Development Environment Not that you’d want to run from a USB flash drive, but you can bundle Eclipse and the JDK all in one directory, as described here, to have a nicely self-contained development environment: How-to: Run Eclipse or Aptana from USB Drive You can toss in a few more tools too if needed: … Read more
In the (hopefully near) future, you’ll be You are now able to store stuff in chrome.storage.sync, and it will be synced automagically. Unless you need something right now, do consider putting all your configurations in an single object, sometime later you’ll be able to just sync it! Edit: now this is available in stable Chrome!
Actually you can use multiprocessing.Queue objects in select.select. i.e. que = multiprocessing.Queue() (input,[],[]) = select.select([que._reader],[],[]) would select que only if it is ready to be read from. No documentation about it though. I was reading the source code of the multiprocessing.queue library (at linux it’s usually sth like /usr/lib/python2.6/multiprocessing/queue.py) to find it out. With Queue.Queue … Read more
Because it doesn’t matter whether I pass String’s instance, Some random class’s instance to the synchronized block as the synchronized block works perfectly irrespective of the parameter being passed to the block. The purpose of the parameter is twofold: It makes it possible to synchronize other blocks on the same object, so that if you … Read more
Doing a = 28 (with a being an int) is an atomic operation. But doing a++ is not an atomic operation because it requires a read of the value of a, an incrementation, and a write to a of the result. As a result, if you used a++ to implement a thread-safe counter, you could … Read more
I like to beat dead horses! 🙂 The “lightest” way to increment the count from multiple threads is: Interlocked.Increment(ref count); But as others have pointed out: if you’re doing it inside Parallel.ForEach then you’re probably doing something wrong. I’m suspecting that for some reason you’re using ForEach but you need an index to the item … Read more
… or is there something I can do to fix it other telling people to disable Threaded “Optimization”? Yes. You can create custom “Application Profile” for your game using NVAPI and disable “Threaded Optimization” setting in it. There is a .PDF file on NVIDIA site with some help and code examples regarding NVAPI usage. In … Read more
Both Lock and synchronized allow a thread to give up the lock when waiting and another thread can obtain the lock. To stop waiting, a thread have to re-acquire the lock. Note: They don’t release it fully and if you take a stack trace you can have multiple threads which appear to be holding the … Read more
As others have mentioned, there is nothing in the C language that guarantees this, and it is dependent on your platform. On most contemporary desktop platforms, the read/write to a word-sized, aligned location will be atomic. But that really doesn’t solve your problem, due to processor and compiler re-ordering of reads and writes. For example, … Read more
All collective operations in MPI before MPI-3.0 are blocking, which means that it is safe to use all buffers passed to them after they return. In particular, this means that all data was received when one of these functions returns. (However, it does not imply that all data was sent!) So MPI_Barrier is not necessary … Read more