# [Haskell-cafe] Why is vector sort slower than list sort?

Holden Lee holdenlee at alum.mit.edu
Sat May 30 05:24:23 UTC 2015

```>From places like
and
http://stackoverflow.com/questions/3655329/how-does-one-sort-with-data-vector-generic-mutable
I'm led to believe that sorting mutable vectors is faster than sorting
lists. However, when running on my own computer, I'm seeing the opposite
effect. What's wrong with what I'm doing, or am I misunderstanding
something? What's the fastest way to sort?

Here's the code:

Sort0.hs (List version)

import System.Random
import qualified Data.Vector as IV
import qualified Data.Vector.Mutable as MV
import qualified Data.Vector.Generic as V
import qualified Data.Vector.Algorithms.Intro as VA
import qualified Data.List as L

randList :: IO [Int]
randList = sequence \$ replicate 1000000 (randomIO :: IO Int)

main = do
v <- randList
print \$ L.sort v

Here's Sort1.hs

import System.Random
import qualified Data.Vector as IV
import qualified Data.Vector.Mutable as MV
import qualified Data.Vector.Generic as V
import qualified Data.Vector.Algorithms.Intro as VA

randVector :: IO (MV.IOVector Int)
randVector = do
v <- MV.new 1000000
forM [0..999999] \$ \x -> do
r <- randomIO :: IO Int
MV.write v x r
return v

main = do
v <- randVector
VA.sort v
iv <- V.unsafeFreeze v :: IO (IV.Vector Int)
print . V.toList \$ iv

I'm compiling and running as follows:

ghc -prof -fprof-auto -rtsopts -o Sort0 Sort0.hs
./Sort0 +RTS -p -sstderr -K99999999 -RTS

Here are the traces; the first one is Sort0.hs (list version) and takes
~11s while the other takes ~17s:

Sat May 30 05:06 2015 Time and Allocation Profiling Report  (Final)

Sort0.exe +RTS -p -sstderr -K99999999 -RTS

total time  =       *11.43 secs*   (11434 ticks @ 1000 us, 1 processor)
total alloc = 1,966,669,596 bytes  (excludes profiling overheads)

COST CENTRE MODULE  %time %alloc

main        Main     61.4   49.4
randList    Main     38.6   50.6

individual
inherited
COST CENTRE  MODULE                     no.     entries  %time %alloc
%time %alloc

MAIN         MAIN                        41           0    0.0    0.0
100.0  100.0
CAF         GHC.IO.Encoding.CodePage    69           0    0.0    0.0
0.0    0.0
CAF         GHC.IO.Encoding             67           0    0.0    0.0
0.0    0.0
CAF         System.CPUTime              59           0    0.0    0.0
0.0    0.0
CAF         GHC.IO.Handle.FD            58           0    0.0    0.0
0.0    0.0
CAF         Data.Fixed                  54           0    0.0    0.0
0.0    0.0
CAF         Data.Time.Clock.POSIX       50           0    0.0    0.0
0.0    0.0
CAF         System.Random               49           0    0.0    0.0
0.0    0.0
CAF         Main                        48           0    0.0    0.0
100.0  100.0
randList   Main                        83           1    1.7    3.1
1.7    3.1
main       Main                        82           1   61.4   49.4
98.3   96.9
randList  Main                        84           0   36.9   47.6
36.9   47.6

Sat May 30 04:59 2015 Time and Allocation Profiling Report  (Final)

Sort1.exe +RTS -p -sstderr -K99999999 -RTS

total time  =      * 17.07 secs*   (17066 ticks @ 1000 us, 1 processor)
total alloc = 5,783,472,528 bytes  (excludes profiling overheads)

COST CENTRE  MODULE  %time %alloc

main         Main     71.9   81.5
randVector.\ Main     25.0   16.5
randVector   Main      3.1    2.0

individual
inherited
COST CENTRE      MODULE                     no.     entries  %time %alloc
%time %alloc

MAIN             MAIN                        60           0    0.0    0.0
100.0  100.0
CAF             GHC.IO.Encoding.CodePage   108           0    0.0    0.0
0.0    0.0
CAF             GHC.IO.Encoding            106           0    0.0    0.0
0.0    0.0
CAF             System.CPUTime              98           0    0.0    0.0
0.0    0.0
CAF             GHC.IO.Handle.FD            95           0    0.0    0.0
0.0    0.0
CAF             Data.Fixed                  87           0    0.0    0.0
0.0    0.0
CAF             Data.Time.Clock.POSIX       82           0    0.0    0.0
0.0    0.0
CAF             System.Random               81           0    0.0    0.0
0.0    0.0
CAF             Main                        67           0    0.0    0.0
100.0  100.0
randVector     Main                       121           1    0.0    0.0
0.0    0.0
main           Main                       120           1   71.9   81.5
100.0  100.0
randVector    Main                       122           0    3.1    2.0
28.1   18.5
randVector.\ Main                       123     1000000   25.0   16.5
25.0   16.5

Thanks,
Holden
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