Luc Le Blanc wrote: > So far, the tests I have run on an actual device have not shown a > difference, but in principle, is computing on floats faster than > doubles, at least on some devices, given that there is no FPU?
If there is no FPU, it could be faster, slower or about the same. Assuming you are using C/C++, all floating point arithmetic /should/ be performed in double precision or better, so the code: float a, b, c; a = b+c; would compile to operations something like: load float b convert float to double load float c convert float to double add convert double to float store float a whereas the code double a, b, c; a = b+c; would compile to load double b load double c add store double a so there is an obvious tradeoff of the time taken to convert between float and double and the time taken to load/store 32 bits as opposed to 64 bits. Where there is no floating point hardware, some C/C++ compilers for slow embedded processors have switches to allow floating point arithmetic to be performed only to float precision where the operands and result are float, but I don't know if this is the case for any of the Palm compilers. -- Martin -- For information on using the PalmSource Developer Forums, or to unsubscribe, please see http://www.palmos.com/dev/support/forums/
