How did 8 bit processors such as the Z80 and 8080 perform 16 bit arithmetic? They have an 8 bit data bus, so how does the ALU perform 16 bit arithmetic on the register pairs?
Z80 architecture diagram (from Wikipedia):
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In the case of the Z80, the ALU is only 4 bits wide. That's no problem, since the internals of the CPU are controlled by a program internal to the processor, called the microprogram (or microcode), which is responsible for piping data around in the necessary way to execute some instruction. So if the Z80 gets an instruction like
ADD HL, BC, the microprogram probably goes something like this:
Hflag; carry-out to
Cflag; carry-out to
Hflag; carry-out to
The result is a 16-bit addition, just that it's done four bits at a time. Some Z80 compatibles had microcode that did what I describe, but microcode is not the only way to achieve this. The same procedure could have been controlled by a finite state machine or some other kind of sequencer.
Another example of an 8-bit processor is the 6502. It doesn't do any 16-bit arithmetic for you; the software needs to explicitly do a 16-bit operation in two halves; perhaps like this:
; Add $BEEF to a 16-bit variable stored at address $40 clc ; Clear carry lda $40 ; load first half of the 16-bit variable into memory adc #$ef ; Add the first half of the number sta $40 ; save it lda $41 ; load the other half adc #$be ; Add the other half of the constant, plus the carry sta $41 ; and save it
The principle extends to any width of ALU and any width of data. So the PDP-8 is a 12-bit computer. There's an implementation called PDP-8/S, which has a 1-bit ALU, and the hardware performs all 12-bit operations one bit at a time. Needless to say, it was much slower, and I believe it was rather unsuccessful commercially.
How did 8 bit processors such as the Z80 and 8080 perform 16 bit arithmetic?
Same way one adds multiple digit numbers on paper. One digit (-pair) at a time and iterating over all digits while incooperating any carry. With(in) a CPU the chunks are ALU sized units like 4/8/16 or 32 bit.
As with paper based addition this method can be used for numbers of arbitary length (number of digits). The difference between an 8 bit CPU processing 64 bit numbers and a 32 bit CPU doing 64 bit (*1) is just the number of iterations needed.
They have an 8 bit data bus, so how does the ALU perform 16 bit arithmetic on the register pairs?
As above. But I guess the question you wanted to ask is rather
"How can a 8 bit ALU do 16 bit operations in a single instruction"
Still as above, as two operations of 8 bit each, the second minding any carry of the first. Just now the iteration (with a count of 2) is hard coded within the CPU, thus only one instruction is needed. Again, still the same for any other CPU with hard coded operation for operands wider than its ALU size.
The Wiki article about Arbitrary Precision Arithmetic offers a wider view on this topic, including some historic information.
*1 - Or a 1 bit CPU - Best granuality, worst performance :))
by using CARRY flag. Bignum (its common name for any large number lib like arbitrary size integer/fixed point/floating point numbers) algorithms do the same thing (compute
m*n bit operations using only
n bit operations) for more info see
So operations like
+,- are done by sequencing from LSW to MSW (where word is the ALU bitwidth).
+: add,adc,adc,adc... -: sub,sbc,sbc,sbc...
so for example if we have 8 bit ALU and want compute 16 bit
C = A + B it would be like this (sequencing 2 times 8 bit opeartion):
C.L = A.L + B.L C.H = A.H + B.H + Carry
C = A - B it would look like this:
C.L = A.L - B.L C.H = A.H - B.H - Carry
other operations like
*,/,... are a bit more complicated for more info see these:
Now if you want to implement it inside CPU than that is done in microcode (the stuff in CPU controls how are its parts used and in which order it is like a small program for each instruction). Some HW architectures might even nest smaller ALU blocks for speed ...
Conceptually, this is a lot like how we (humans) do add, subtract, multiply, etc multi-digit numbers. An 8-bit processor has 8-bit "digits" that it can concentrate on one at a time.
If we want to add 1234+5678, we do as follows: we add the two lowest digits (4+8=12), we write down the 2 in the 1s column of the answer, carry the 1. We add 7+3, plus the carried 1, to get 11. We write down the 1 (second digit of 11) in the 10s column of our answer, carry the 1... and so forth.
Note: in the following paragraph, all numbers are base 10; when broken down into bytes, the high byte is first, and they are still shown in decimal; they are in brackets to keep them together, separated by a comma. So (4,211) means a high byte with the decimal value 4, and a low byte with decimal 211. 4*256+211=1235.
An 8-bit processor can do the same, but it has 256 digits, which we would call 1 through 255, and 0. Don't be confused by bytes being written as 2 hex digits; this just saves us by needing only 16 different digits; an 8-bit computer has 256 different digits – each byte is one digit.
If it wants to add 1235 + 5678, each stored as 2 bytes (4, 211) + (22,46), it would add the "1s column", which here is 211+46=257. Since it's an 8-bit processor, only the lowest 8 bits are kept; this comes out as 1. The processor does remember that there is a "carry" by setting the carry flag.
The sum (without carry) is stored as the lowest byte of the answer.
It then adds the 2 "digits" (bytes) in the "tens column" (256s column). 4+22=26, don't forget to add the carry, making 27.
So the answer should be two bytes: (27,1). 27*256+1=6913, which is correct.
A similar process can be applied by subtraction (possibly with "borrow"), multiplication, and division. If you think how you might do these yourself, for long numbers, an 8-bit processor might do a similar thing for larger numbers.
Note that this does not just apply to 16-bit arithmetic, but can be extended to any size number (of a fixed size).
These steps, of course, are part of the (machine code) program. Adding a multi-byte number would take several instructions.
Note that the above only applies to integers; floating point (e.g. 0.1) is more complicated.