sbcl-lisp : 0.7s
racket-scheme : 0.7s
ccl-lisp : 6s
kawa-scheme : 14s
abcl-lisp : 45s
What is purpose of this? Optimize a function which uses a terrible algorithm? Why not use a good algorithm? In Racket for instance
(define (memoize/1 f) (define h (make-hasheqv)) (λ (a) (hash-ref! h a (thunk (f a))))) (define fib (memoize/1 (λ (x) (if (< x 2) 1 (+ (fib (- x 2)) (fib (- x 1)))))))
And now
> (time (fib 39)) cpu time: 0 real time: 0 gc time: 0 102334155 > (time (fib 50000)) cpu time: 77 real time: 88 gc time: 29 174387413787277868303885543...
(10,000 digit number, results are from cold Racket so memo table was empty initially.)
Is entertaining then to try to compute say
(log (fib 500000) 10)
. Bignums tend to get pretty slow then.You didn’t say on which machine you did your measurements… Here’s Gambit on a 5 year old intel based machine achieving 0.148 seconds:
$ ./configure --enable-single-host --enable-march=native CC=gcc-9 ; make -j8 ; sudo make install ... $ gsc -exe fib.scm $ ./fib (time (fib 39)) 0.147854 secs real time 0.147816 secs cpu time (0.147732 user, 0.000084 system) no collections 64 bytes allocated 3 minor faults no major faults 63245986 $ sysctl -n machdep.cpu.brand_string Intel(R) Core(TM) i7-8700B CPU @ 3.20GHz $ cat fib.scm (declare (standard-bindings) (fixnum) (not safe) (block) (not interrupts-enabled) (inlining-limit 1000) ) (define (fib n) (if (< n 2) n (+ (fib (- n 1)) (fib (- n 2))))) (println (time (fib 39)))
How many times do you calculate Fibonacci in a normal program?
For me the availability of libraries is more important.
Even the size of the executable is not important.How many times do you calculate Fibonacci
I you don’t memoize - everytime!
I’ll see myself out…
every quarter second, for example. Im check memory+mcu in some rt system.
Next question: SBCL type annotations and optimization levels?
This type of post doesn’t make sense without source code, hardware used, OS, distro, compiler/interpreter/runtime/library versions, virtualization, etc.
Medley: 11.4 (compiled)
(running online https://online.interlisp.org )
Thanks. Will have to look into switching our fibonacci-as-a-service over from ccl.
Benchmarking for the win.
Without type declarations I have CCL computing (fib 39) in 0.365 seconds and (fib 39) in 0.743 seconds. This is because CCL inlines the fixnum case for generic addition, and SBCL does not.
I had some fun with this a while back: https://gist.github.com/cellularmitosis/aa3001c8d5a961f7b382f6576978b644
Chez Scheme: 0.393200000s
At least with abcl you may want to consider using the builtin compiler for a considerable speedup, don’t know about the others:
C:\>abcl CL-USER(1): (defun fib (x) (if (< x 2) 1 (+ (fib (- x 2)) (fib (- x 1))))) FIB CL-USER(2): (time (fib 39)) 86.97 seconds real time 0 cons cells 102334155 CL-USER(3): (compile 'fib) FIB NIL NIL CL-USER(4): (time (fib 39)) 8.958 seconds real time 0 cons cells 102334155 CL-USER(5):
Indeed using compile the time reduced to 6s.
So one has to be careful before drawing conclusions.
Let’s see some Janet and Fennel times.