andrew kelley <spam_OUTpiclistTakeThisOuT
mit.edu> wrote:
> How would automatic intelligent banking for call's and goto's work
> multiple code page PIC's (in a linker or assembler)? I mean, if
> you were to have a piece of code on the boundary that would be
> pushed onto the next page with the addition of banking
> instructions, how would the assembler know what to do for max
> efficiency?
Andrew:
The piclist.com list archive seems to be offline at the moment, so
I'll just copy an email I sent a few years ago...
------- Forwarded Message Follows ------
Steve Hardy <.....PICLISTKILLspam
@spam@MITVMA.MIT.EDU> wrote:
{Quote hidden}> Yes, the perennial phase error.
> ....
> I encountered this sort of problem when writing a Z80 assembler.
> The Z80 has two different flavours of branch: JR and JP. JR only
> had a short range (and takes 2 bytes) whereas JP could jump
> anywhere (3 byte instruction). I wanted to implement a pseudo-op
> called 'J' which used the shortest possible opcode JR or JP. It
> turned out that to optimally implement this, the assembler would
> potentially have to make a large number of passes, refining its
> estimate of the value of each label each time. It is also
> conceivable that the assembler could get stuck in an infinite
> loop.
Steve:
This is slightly off-topic, but there's a really simple algorithm
that solves the "branch/jump optimization" problem in linear time:
1. Start with all branches set to the shortest size.
2. Put all the branches on a stack.
3. Pull a branch off the stack; if it's out of range, increase
it to the next-larger size (some processors have 3 or more branch
sizes) and put all the branches that SPAN the just-increased
branch on the stack.
4. Repeat step 3 until everything's stable.
This algorithm was first shown to me by Dr. Cliff Click, who works in
Motorola's PowerPC compiler group. As I said, it runs in linear time
and is guaranteed not to get stuck in an infinite loop.
I can send you the rigorous mathematical proof if you're
interested... It depends on the fact that monotonic functions over
complete lattices have a unique minimal fixed point.
-Andy
------- End of Forwarded Message ------
=== Andrew Warren - fastfwd
KILLspamix.netcom.com