The IDE will regenerate these files automatically.
One quick way of seeing if compiler has optimized out the APIs in the files
would be to check list file for the f() calls present in the general module file.
If you identify a call you do not make look for it in the lst or map file. Note its
a bit complicated as that call may be used by an API you do use.
In the POC 3 Keil output there is a tech mapping section that shows removed
code.
If you are squeezed for code space, here are some suggestions, but not they were
for a 8 bit machine, so some items will not save as the native machine size is 32
bit.
*************************************************************************************************
These helped me in a similar experience -
1 - If any float math minimize the number of lines you do divides, if possible convert
to multiplies. Convert float to integer math where possible. Pay attention to factoring
of expressions, possible operation reduction, hence code reduction may result.
2 - Lines with function calls, minimize f(g()) compound typed expressions.
3 - Make sure you only use a variable type no larger than needed.
4 - Use unsigned variables wherever possible.
5 - Watchout for structures with mixed const and ram pointers within them,
some compilers choke on this.
6 - If you are heavy on Flash, light on RAM use, convert routines to RAM based
wherever possible.
7 - Try test cases of looping structures, to see what affects code size generation.
8 - Examine .lst file for code that looks wacky in bytes used, understand what
compiler did, and consider rewrite.
9 - Use inline ASM where .lst file C generation looks excessive.
10 - Look at module reuse, sharing, dual purpose, to eliminate # modules
needed, like counters/timers....Also look at data sheets of modules that could
serve function needed, and compare ROM/RAM requirements needed. Optimize
global HW, like clocks VC1/2/3/Sleep, to eliminate need for other timer/counters.
Use register routing control to "share" module from one task to another, one pin
to another.
11 - Extended library, functions within them are written to be perfectly general,
hence larger code size, you may be able to write one with less code needed for
your specific requirements that result in smaller code size.
12 – Look for approximations to compute transcendental functions if used.
13 - Although no longer supported by HiTech or Cypress, the HiTech Pro compiler
yielded on first try ~ 40% code reduction in my design when I first converted
to it. Then the prior comments yielded another 4 K later in design as I was up
against 32 K Flash limitation.
14 - Some compilers have a setting to optimize code size or speed, the latter
prone to larger code size. Also look at compiler vendors web site for ap notes
and suggestions on optimization, compilers from different vendors behave and
optimize differently.
15 - const data, strings, etc.., look for ability to reuse common string mnemonics,
text.
16 - Pointer usage can lessen code size, see url's below. Look for function calls
passing longs as value vs pointer, convert to latter. Compiler has to copy all these,
if not referenced. Do not pass longs or floats as values, keep always in mind native machine size.
17 - Most compilers will optimize when indexes, pointers, a power of 2, or divides,
divide becomes a shift.
18 - Look at how linker distributed code and data segments, sometimes you can discover
a poor decision by linker and force code/data into certain psects using pragma constructs,
thereby minimizing wasted ROM space.
19 – When you debug generally you want to turn off optimization, as compiler/linker will
remove code and make jumps that do not make “sense” but are the result of optimization.
When you are up to Flash boundary you may not be able to turn it off, otherwise
application will not load. Keep this in mind, that your debug strategy may have to change.
I also found if using ICE Cube that debugger may no longer report “watch” variables, this
occurred at ~ 31.5K bytes. In either case you may want to comment out large code sections
to effectively debug.
20 – f() calls take overhead, if you only call a f() once you might eliminate it as a f() call and
place code inline.
21 – Look for f() opportunities, wherever you are coding and repeating similar operations.
This is obvious, but sometimes missed.
22 – Check compiler on macros, to see if they are being optimized or just being used inline
using more code space vs a f() call solution.
23 – Examine compiler/linker parameter control. For example in HiTech there is the AUTOBANK
setting that controls where local variables are stored, in my case setting to 1 lowered code size by
~ 250 bytes. READ the MANUAL !
24 – Use inline variable declarations, vs pre declaration (compiler dependent) -
This void dosomething ( void ) {
for ( unsigned char I = 0;…..
}
Not This void dosomething ( void ) {
Unsigned char I = 0;
for ( I = 0;…..
}
Some help -
http://www.codeproject.com/Articles/6154/Writing-Efficient-C-and-C-Code-Optimization
http://www.eventhelix.com/realtimemantra/basics/optimizingcandcppcode.htm
http://www.azillionmonkeys.com/qed/optimize.html
By using these techniques I was able to regain ~ 4K Bytes of code space in a 32K design, which
I promptly then used up again 😞
Regards, Dana.
