The effectiveness of compiling the tree-recursive Fibonacci procedure
Carry out an analysis like the one in exercise 5.45 to determine the effectiveness of compiling the tree-recursive Fibonacci procedure
(define (fib n)
(if (< n 2)
n
(+ (fib (- n 1)) (fib (- n 2)))))
compared to the effectiveness of using the special-purpose Fibonacci machine of figure 5.12. (For measurement of the interpreted performance, see exercise 5.29
.) For Fibonacci, the time resource used is not linear in
n
; hence the ratios of stack operations will not approach a limiting value that is independent of
n
.
(controller
(assign continue (label fib-done))
fib-loop
(test (op <) (reg n) (const 2))
(branch (label immediate-answer))
;; set up to compute Fib(n - 1)
(save continue)
(assign continue (label afterfib-n-1))
(save n) ; save old value of n
(assign n (op -) (reg n) (const 1)); clobber n to n - 1
(goto (label fib-loop)) ; perform recursive call
afterfib-n-1 ; upon return, val contains Fib(n - 1)
(restore n)
(restore continue)
;; set up to compute Fib(n - 2)
(assign n (op -) (reg n) (const 2))
(save continue)
(assign continue (label afterfib-n-2))
(save val) ; save Fib(n - 1)
(goto (label fib-loop))
afterfib-n-2 ; upon return, val contains Fib(n - 2)
(assign n (reg val)) ; n now contains Fib(n - 2)
(restore val) ; val now contains Fib(n - 1)
(restore continue)
(assign val ; Fib(n - 1) + Fib(n - 2)
(op +) (reg val) (reg n))
(goto (reg continue)) ; return to caller, answer is in val
immediate-answer
(assign val (reg n)) ; base case: Fib(n) = n
(goto (reg continue))
fib-done)
Figure 5.12: Controller for a machine to compute Fibonacci numbers.