overhead

It's the first time I am using Proguard, I've noticed that if you add many custom rules to proguard-project.txt it takes obviously much more time for building. That's cause Eclipse to crash reporting a GC overhead limit exceeded and then I have to force the shut down of java because the editor continues to pop out error and alert dialogs. Is there any way to avoid these continuous crashes on Eclipse and so fix the problem reported here too? Silvio Fixed, I read all the others forum posts about the problem but no one said how to fix it on Eclipse. I found the fix here EDIT: in case the link

A lot of literature talks about using inline functions to "avoid the overhead of a function call". However I haven't seen quantifiable data. What is the actual overhead of a function call i.e. what sort of performance increase do we achieve by inlining functions? On most architectures, the cost consists of saving all (or some, or none) of the registers to the stack, pushing the function arguments to the stack (or putting them in registers), incrementing the stack pointer and jumping to the beginning of the new code. Then when the function is done, you have to restore the registers from the

simple question, but its been nagging me for a while now.... what is "overhead" in MySQL, and should i be worried? does clicking "optimize table" fix it for real? It appears that the overhead is temporary diskspace that the database used to run some of the queries, so you should only worry if this gets really high. You can compare 'Optimizing the table' with the defragmenting of your hard drive. I quote: Every database will, over time, require some form of maintenance to keep it at an optimal performance level. Purging deleted rows, resequencing, compressing, managing index paths,

I thought about which factors would influence the static scheduling overhead in OpenMP. In my opinion it is influenced by: CPU performance specific implementation of the OpenMP run-time library the number of threads But am I missing further factors? Maybe the size of the tasks, ...? And furthermore: Is the overhead linearly dependent on the number of iterations? In this case I would expect that having static scheduling and 4 cores, the overhead increases linearly with 4*i iterations. Correct so far? EDIT: I am only interested in the static (!) scheduling overhead itself. I am not talking about

What is the memory layout of a .NET array? Take for instance this array: Int32[] x = new Int32[10]; I understand that the bulk of the array is like this: 0000111122223333444455556666777788889999 Where each character is one byte, and the digits corresponds to indices into the array. Additionally, I know that there is a type reference, and a syncblock-index for all objects, so the above can be adjusted to this: ttttssss0000111122223333444455556666777788889999 ^ +- object reference points here Additionally, the length of the array needs to be stored, so perhaps this is more correct:

Is there any overhead in Java for using a try/catch block, as opposed to an if block (assuming that the enclosed code otherwise does not request so)? For example, take the following two simple implementations of a "safe trim" method for strings: public String tryTrim(String raw) { try { return raw.trim(); } catch (Exception e) { } return null; } public String ifTrim(String raw) { if (raw == null) { return null; } return raw.trim(); } If the raw input is only rarely null , is there any performance difference between the two methods? Furthermore, is it a good programming pattern to use the