From Gambit wiki
Marc Feeley has put together a collection of benchmarks, called the Gambit benchmarks. The performance of Gambit is compared to a number of other Scheme implementations on that page.
The "Programming Language Shootout" benchmarks
The Computer Language Benchmarks Game compares various computer languages by benchmarking similar algorithms to a number of small problems in a number of language implementations. Here are a number of Gambit implementations of the programs in the programming language shootout. Please feel free to propose improvements before they're submitted.
Some simple operations on large bignums
In a talk Paul Zimmermann defined a, b, and c to be (expt 3 2095903), (expt 7 1183294), and (expt 11 1920505), respectively, (presumably because a and b have roughly a million decimal digits, and c has roughly 2 million digits) and timed (* a b), (quotient c a), and (integer-sqrt c), and (gcd a b). With
heine:~/Desktop> gsi -v v4.4.4 20090618172941 x86_64-unknown-linux-gnu "./configure --enable-single-host --enable-multiple-versions"
running on the machine
Intel(R) Core(TM)2 Quad CPU Q8200 @ 2.33GHz
on Ubuntu 9.04 with FSF gcc-4.2.4 (and adding back -fmove-loop-invariants), we find the times
> (define d (time (* a b))) (time (* a b)) 157 ms real time 156 ms cpu time (144 user, 12 system) 3 collections accounting for 2 ms real time (0 user, 0 system) 26078656 bytes allocated 4314 minor faults no major faults > (define e (time (quotient c a))) (time (quotient c a)) 710 ms real time 704 ms cpu time (668 user, 36 system) 9 collections accounting for 11 ms real time (8 user, 0 system) 130659840 bytes allocated 19660 minor faults no major faults > (define f (time (integer-sqrt c))) (time (integer-sqrt c)) 698 ms real time 692 ms cpu time (656 user, 36 system) 21 collections accounting for 12 ms real time (4 user, 8 system) 160630392 bytes allocated 6332 minor faults no major faults > (define g (time (gcd a b))) (time (gcd a b)) 10167 ms real time 10137 ms cpu time (10105 user, 32 system) 810 collections accounting for 302 ms real time (320 user, 8 system) 5055362984 bytes allocated 10450 minor faults no major faults
With GMP 4.2.4 (compiled with the default system compiler gcc-4.3.3), these same operations take 44ms, 220ms, 168ms, and 6052ms, respectively; with GMP 4.3.1 they take 20ms, 88ms, 68ms, and 524ms, respectively.
When a, b, and c are replaced by (expt 3 20959032), (expt 7 11832946), and (expt 11 19205051), respectively, so a and b have about 10,000,000 decimal digits and c has about 20 million decimal digits, then the Gambit times are
> (define d (time (* a b))) (time (* a b)) 1421 ms real time 1416 ms cpu time (1288 user, 128 system) 3 collections accounting for 18 ms real time (0 user, 16 system) 209714208 bytes allocated 51312 minor faults no major faults > (define e (time (quotient c a))) (time (quotient c a)) 6300 ms real time 6292 ms cpu time (5988 user, 304 system) 8 collections accounting for 48 ms real time (8 user, 48 system) 1061819368 bytes allocated 121357 minor faults no major faults > (define f (time (integer-sqrt c))) (time (integer-sqrt c)) 6596 ms real time 6596 ms cpu time (6536 user, 60 system) 22 collections accounting for 23 ms real time (0 user, 16 system) 1291581376 bytes allocated 22536 minor faults no major faults > (define g (time (gcd a b))) (time (gcd a b)) 123296 ms real time 123256 ms cpu time (123156 user, 100 system) 1152 collections accounting for 529 ms real time (492 user, 16 system) 53377146424 bytes allocated 37776 minor faults no major faults
The GMP 4.2.4 times are 680ms, 3852ms, 3180ms, and 1008696ms, respectively; the GMP 4.3.1 times are 260ms, 1544ms, 1268ms, and 9992ms, respectively.
So, after the release of GMP 4.3.0 in April, 2009, GMP is decisively faster than Gambit (and Gambit is no longer a reproof to the permanent claim on GMP's home page that GMP is the "fastest bignum library on the planet!"). Some of the changes that went into GMP 4.3.0 are
- Vastly improved assembly code for x86-64 processors from AMD and Intel.
- Major improvements also for many other processor families, such as Alpha, PowerPC, and Itanium.
- New sub-quadratic mpn_gcd and mpn_gcdext, as well as improved basecase gcd code.
- The multiply FFT code has been slightly improved.
- Balanced multiplication now uses 4-way Toom in addition to schoolbook, Karatsuba, 3-way Toom, and FFT.
- Unbalanced multiplication has been vastly improved.
- Improved schoolbook division by means of faster quotient approximation.
- Several new algorithms for division and mod by single limbs, giving many-fold speedups.
- Improved nth root computations.
- The mpz_nextprime function uses sieving and is much faster.
- Countless minor tweaks.
Niels Möller introduced the new gcd algorithm; it was based on an algorithm of Schönhage that was never published but was reverse engineered by Brad Lucier for Gambit (after some hints from Schönhage in e-mail) in January 2004. In 2005 Lucier told Möller (who was working on a Schönhage-type gcd algorithm for GMP) about Schönhage's algorithm, and Möller integrated it into GMP's HGCD framework for gcd calculations (and got two publications out of it, too!). Now that it is actually part of released GMP, GMP's bignum code beats Gambit's bignum code for all relevant bignum operations.