÷

 Step 1 : Are the programs faster? At a glance.

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 program used compared to the fastest program.


 Step 2 : Are the programs faster? Approximately.

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 program used compared to the fastest program.

  used what fraction? used how many times more? 
Benchmark Time Memory Code

± read the measurements and then read the program source code.

 Step 3 : Are the programs faster? Measurements.

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 program are shown for comparison against measurements of the fastest program.

Program Source Code CPU secs Elapsed secs Memory KB Code B ≈ CPU Load
 binary-trees
   No programs
 chameneos-redux
   No programs
 fannkuch
   No programs
 fasta
   No programs
 k-nucleotide
   No programs
 mandelbrot
   No programs
 n-body
   No programs
 nsieve
   No programs
 nsieve-bits
   No programs
 partial-sums
   No programs
 pidigits
   No programs
 recursive
   No programs
 regex-dna
   No programs
 reverse-complement
   No programs
 spectral-norm
   No programs

 Step 4 : Are there other programs for these benchmarks?

Remember - those are just the fastest and programs measured on this OS/machine. Check if there are other implementations of these benchmark programs for .

Maybe one of those other programs is fastest on a different OS/machine.

 Step 5 : Are there other faster programs for these benchmarks?

Remember - those are just the fastest and 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.

  :  

 

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