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This chart shows 3 comparisons - Time-used, Memory-used and Code-used ~ speed and size.
Each chart bar shows, for one unidentified benchmark, how much the fastest Lisp SBCL program used compared to the fastest Java 7 -server program.
Look at speed another way - look at a box plot of Time-used data.
This table shows 3 comparisons - Time-used, Memory-used and Code-used ~ speed and size.
Each table row shows, for one named benchmark, how much the fastest Lisp SBCL program used compared to the fastest Java 7 -server program.
| Lisp SBCL used what fraction? used how many times more? | ||||
|---|---|---|---|---|
| Benchmark | Time | Memory | Code | |
| pidigits | 1/2 | 1/10 | 1/2 | |
| fannkuch-redux | ± | ± | ± | |
| spectral-norm | ± | 1/3 | ± | |
| n-body | ± | 2× | ± | |
| binary-trees | 2× | 1/2 | 1/2 | |
| regex-dna | 2× | ± | 2× | |
| fasta | 3× | 2× | ± | |
| mandelbrot | 3× | 1/2 | 3× | |
| reverse-complement | 3× | 1/2 | 1/2 | |
| fasta-redux | 5× | ± | ± | |
| k-nucleotide | 7× | 1/4 | ± | |
| Lisp SBCL used what fraction? used how many times more? | |||||||
|---|---|---|---|---|---|---|---|
| Time-used | |- | |--- | 25% | median | 75% | ---| | -| |
| (Elapsed secs) | 1/2 | 1/2 | ± | 2× | 3× | 5× | 7× |
± read the measurements and then read the program source code.
This table shows 5 measurements - CPU Time, Elapsed Time, Memory, Code and ≈ CPU Load ~ speed and size.
For each named benchmark, measurements of the fastest Lisp SBCL program are shown for comparison against measurements of the fastest Java 7 -server program.
| Program Source Code | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| pidigits | |||||
| Lisp SBCL | 2.78 | 2.78 | 4,772 | 1073 | 0% 0% 1% 100% |
| Java 7 -server | 12.36 | 5.16 | 47,348 | 1826 | 60% 61% 61% 54% |
| fannkuch-redux | |||||
| Lisp SBCL | 56.55 | 14.63 | 14,944 | 1518 | 99% 99% 94% 97% |
| Java 7 -server | 67.73 | 17.13 | 14,208 | 1282 | 98% 99% 99% 100% |
| spectral-norm | |||||
| Lisp SBCL | 15.75 | 3.98 | 4,496 | 906 | 99% 99% 100% 99% |
| Java 7 -server | 16.38 | 4.21 | 14,556 | 950 | 97% 97% 99% 98% |
| n-body | |||||
| Lisp SBCL | 35.81 | 35.82 | 30,464 | 1398 | 0% 0% 0% 100% |
| Java 7 -server | 24.37 | 24.34 | 13,932 | 1424 | 0% 0% 0% 100% |
| binary-trees | |||||
| Lisp SBCL | 21.00 | 21.03 | 231,912 | 649 | 0% 0% 0% 100% |
| Java 7 -server | 23.89 | 9.78 | 532,932 | 1007 | 61% 77% 45% 63% |
| regex-dna | |||||
| Lisp SBCL | 45.90 | 21.82 | 838,944 | 1948 | 42% 37% 41% 90% |
| Java 7 -server | 28.92 | 10.07 | 708,180 | 929 | 65% 64% 83% 76% |
| fasta | |||||
| Lisp SBCL | 12.94 | 12.95 | 30,268 | 1579 | 0% 0% 0% 100% |
| Java 7 -server | 4.95 | 4.86 | 14,976 | 1507 | 1% 0% 100% 1% |
| mandelbrot | |||||
| Lisp SBCL | 66.76 | 18.58 | 35,376 | 2459 | 99% 80% 98% 82% |
| Java 7 -server | 27.15 | 6.89 | 67,832 | 796 | 98% 99% 99% 99% |
| reverse-complement | |||||
| Lisp SBCL | 4.11 | 4.12 | 175,984 | 896 | 0% 0% 1% 100% |
| Java 7 -server | 2.88 | 1.52 | 294,656 | 1661 | 56% 74% 46% 16% |
| fasta-redux | |||||
| Lisp SBCL | 9.15 | 9.15 | 9,676 | 2005 | 0% 0% 0% 100% |
| Java 7 -server | 1.89 | 1.84 | 14,420 | 1443 | 1% 2% 3% 100% |
| k-nucleotide | |||||
| Lisp SBCL | 69.79 | 69.85 | 105,208 | 2301 | 0% 0% 100% 0% |
| Java 7 -server | 34.65 | 9.39 | 381,176 | 2431 | 92% 89% 97% 92% |
Remember - those are just the fastest Lisp SBCL and Java 7 -server programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for Lisp SBCL.
Maybe one of those other Lisp SBCL programs is fastest on a different OS/machine.
Remember - those are just the fastest Lisp SBCL and Java 7 -server programs measured on this OS/machine. Check if there are faster implementations of these benchmark programs for other programming languages.
Maybe one of those other programs is fastest on a different OS/machine.
online book Practical Common Lisp
This is SBCL 1.0.54, an implementation of ANSI Common Lisp.
Home Page: http://sbcl.sourceforge.net/
Download: http://sbcl.sourceforge.net/