Step 1 : Are the CAL programs faster? At a glance.
This chart shows 3 comparisons - Time-used, Memory-used and Code-used.
Each chart bar shows, for one unidentified benchmark, how much the fastest CAL program used compared to the fastest Java 6 -server program.
Step 2 : Are the CAL programs faster? Approximately.
This table shows 3 comparisons - Time-used, Memory-used and Code-used.
Each table row shows, for one named benchmark, how much the fastest CAL program used compared to the fastest Java 6 -server program.
| CAL used what fraction? used how many times more? | ||||
|---|---|---|---|---|
| Benchmark | Time | Memory | Code | Reduced N |
| recursive | ± | ± | 2× | |
| partial-sums | ± | 2× | ± | |
| binary-trees | ± | ± | ± | |
| mandelbrot | ± | ± | ± | |
| k-nucleotide | ± | ± | 2× | |
| nsieve | ± | ± | 3× | |
| regex-dna | ± | ± | ± | |
| nsieve-bits | ± | ± | 2× | |
| fannkuch | ± | 2× | 2× | |
| spectral-norm | ± | ± | 2× | |
| fasta | ± | ± | 2× | |
| n-body | ± | ± | 2× | |
| reverse-complement | 2× | ± | 3× | |
| sum-file | 2× | ± | ± | |
| pidigits | 6× | 2× | ± | |
± read the measurements and then read the program source code.
Step 3 : Are the CAL programs faster? Measurements.
This table shows 5 measurements - CPU Time, Elapsed Time, Memory, Code and ~ CPU Load.
For each named benchmark, measurements of the fastest CAL program are shown for comparison against measurements of the fastest Java 6 -server program.
| Program Source Code | CPU secs | Elapsed secs | Memory KB | Code B | ~ CPU Load |
|---|---|---|---|---|---|
| recursive | |||||
| CAL | 5.80 | 14,320 | 665 | ||
| Java 6 -server | 6.76 | 12,044 | 427 | ||
| partial-sums | |||||
| CAL | 9.41 | 13,672 | 699 | ||
| Java 6 -server | 9.15 | 8,488 | 474 | ||
| binary-trees | |||||
| CAL | 7.58 | 27,308 | 736 | ||
| Java 6 -server | 6.89 | 26,808 | 603 | ||
| mandelbrot | |||||
| CAL | 3.63 | 12,564 | 931 | ||
| Java 6 -server | 3.24 | 11,092 | 623 | ||
| k-nucleotide | |||||
| CAL | 17.84 | 51,044 | 1688 | ||
| Java 6 -server | 15.89 | 70,964 | 1052 | ||
| nsieve | |||||
| CAL | 2.56 | 17,784 | 751 | ||
| Java 6 -server | 2.25 | 20,592 | 296 | ||
| regex-dna | |||||
| CAL | 10.33 | 98,312 | 1334 | ||
| Java 6 -server | 7.81 | 75,892 | 921 | ||
| nsieve-bits | |||||
| CAL | 6.78 | 15,176 | 991 | ||
| Java 6 -server | 5.04 | 13,364 | 523 | ||
| fannkuch | |||||
| CAL | 14.91 | 13,616 | 1065 | ||
| Java 6 -server | 11.05 | 8,884 | 555 | ||
| spectral-norm | |||||
| CAL | 33.03 | 13,728 | 907 | ||
| Java 6 -server | 24.01 | 10,008 | 514 | ||
| fasta | |||||
| CAL | 29.65 | 13,216 | 1983 | ||
| Java 6 -server | 21.46 | 9,184 | 1240 | ||
| n-body | |||||
| CAL | 20.93 | 14,364 | 2356 | ||
| Java 6 -server | 14.75 | 11,524 | 1424 | ||
| reverse-complement | |||||
| CAL | 2.40 | 41,228 | 1643 | ||
| Java 6 -server | 1.30 | 58,932 | 592 | ||
| sum-file | |||||
| CAL | 7.64 | 13,592 | 301 | ||
| Java 6 -server | 4.10 | 9,972 | 226 | ||
| pidigits | |||||
| CAL | 12.48 | 20,172 | 751 | ||
| Java 6 -server | 1.92 | 8,992 | 938 | ||
| chameneos-redux | |||||
Measurements for all the accepted programs
CAL : lazy functional programming for jvm
1.7.0
Home Page: The Open Quark Framework for Java and the CAL Language
Download: Download Summary