I went from numbers around 1000 ms to 950 ms to 900 ms. There was
variance around those numbers, but it was pretty consistent.

For more precise answers, there are a few things you can try. One is
to measure instructions instead of time (ie, with perf). Another is to
run it a bunch of times and take an average. The `hyperfine` tool is
good for that. But probably the best advice is to make the program
take longer so differences are more apparent -- variation usually
increases sub-linearly.

Sam

On Fri, Mar 19, 2021 at 12:17 PM Laurent <[email protected]> wrote:
>
> Sam: How do you accurately measure such small speed-ups? On my machines, if I 
> run the same program twice, I can sometimes see more than 10% time difference.
>
> On Fri, Mar 19, 2021 at 4:10 PM Sam Tobin-Hochstadt <[email protected]> 
> wrote:
>>
>> Use `#:authentic`, and `unsafe-vector*-{ref,set!}` saved about 50 more
>> ms on my machine.
>>
>> Then getting rid of `set!` and just re-binding the relevant variables
>> produced another 50 ms speedup.
>>
>> https://gist.github.com/7fc52e7bdc327fb59c8858a42258c26a
>>
>> Sam
>>
>> On Fri, Mar 19, 2021 at 7:21 AM Sam Tobin-Hochstadt
>> <[email protected]> wrote:
>> >
>> > One minor additional suggestion: if you use #:authentic for the struct, it 
>> > will generate slightly better code for the accessors.
>> >
>> > Sam
>> >
>> > On Fri, Mar 19, 2021, 6:18 AM Bogdan Popa <[email protected]> wrote:
>> >>
>> >> I updated the gist with some cleanups and additional improvements that
>> >> get the runtime down to a little over 1s (vs ~350ms for the optimized C
>> >> and Rust code) on my maxed-out 2019 MBP and ~600ms on my M1 Mac Mini.
>> >>
>> >> Pawel Mosakowski writes:
>> >>
>> >> > Hi Bogdan,
>> >> >
>> >> > This is a brilliant solution and also completely over my head. It 
>> >> > finishes
>> >> > in ~3.75s on my PC and is faster than the Python version which basically
>> >> > delegates all the work to C. I will need to spend some time on
>> >> > understanding it but I am looking forward to learning something new.
>> >> >
>> >> > Many thanks,
>> >> > Pawel
>> >> >
>> >> > On Thursday, March 18, 2021 at 7:22:10 PM UTC bogdan wrote:
>> >> >
>> >> >> I managed to get it about as fast as Python by making it really
>> >> >> imperative and rolling my own hash:
>> >> >>
>> >> >> https://gist.github.com/Bogdanp/fb39d202037cdaadd55dae3d45737571
>> >> >>
>> >> >> Sam Tobin-Hochstadt writes:
>> >> >>
>> >> >> > Here are several variants of the code:
>> >> >> > https://gist.github.com/d6fbe3757c462d5b4d1d9393b72f9ab9
>> >> >> >
>> >> >> > The enabled version is about the fastest I can get without using
>> >> >> > `unsafe` (which the rules said not to do). It's possible to optimize 
>> >> >> > a
>> >> >> > tiny bit more by avoiding sorting, but only a few milliseconds -- it
>> >> >> > would be more significant if there were more different words.
>> >> >> >
>> >> >> > Switching to bytes works correctly for the given task, but wouldn't
>> >> >> > always work in the case of general UTF8 input. But those versions
>> >> >> > appeared not be faster for me. Also, writing my own string-downcase
>> >> >> > didn't help. And using a big buffer and doing my own newline 
>> >> >> > splitting
>> >> >> > didn't help either.
>> >> >> >
>> >> >> > The version using just a regexp matching on a port (suggested by
>> >> >> > Robby) turned out not to be faster either, so my suspicion is that 
>> >> >> > the
>> >> >> > original slowness is just using regexps for splitting words.
>> >> >> >
>> >> >> > Sam
>> >> >> >
>> >> >> > On Thu, Mar 18, 2021 at 11:28 AM Sam Tobin-Hochstadt
>> >> >> > <[email protected]> wrote:
>> >> >> >>
>> >> >> >> Here's a somewhat-optimized version of the code:
>> >> >> >>
>> >> >> >> #lang racket/base
>> >> >> >> (require racket/string racket/vector racket/port)
>> >> >> >>
>> >> >> >> (define h (make-hash))
>> >> >> >>
>> >> >> >> (time
>> >> >> >> (for* ([l (in-lines)]
>> >> >> >> [w (in-list (string-split l))]
>> >> >> >> [w* (in-value (string-downcase w))])
>> >> >> >> (hash-update! h w* add1 0)))
>> >> >> >>
>> >> >> >> (define v
>> >> >> >> (time
>> >> >> >> (for/vector #:length (hash-count h)
>> >> >> >> ([(k v) (in-hash h)])
>> >> >> >> (cons k v))))
>> >> >> >> (time (vector-sort! v > #:key cdr))
>> >> >> >> (define p (current-output-port) #;(open-output-nowhere))
>> >> >> >> (time
>> >> >> >> (for ([pair (in-vector v)])
>> >> >> >> (write-string (car pair) p)
>> >> >> >> (write-string (number->string (cdr pair)) p)
>> >> >> >> (newline p)))
>> >> >> >>
>> >> >> >> It's much more imperative, but also pretty nice and compact. The
>> >> >> >> `printf` optimization is significant for that portion of the 
>> >> >> >> program,
>> >> >> >> but that isn't much of the running time. The overall running time 
>> >> >> >> for
>> >> >> >> 10 copies of the KJV is about 9 seconds on my laptop.
>> >> >> >>
>> >> >> >> I think the remaining difference between Racket and other languages 
>> >> >> >> is
>> >> >> >> likely the `string-split` and `string-downcase` functions, plus the
>> >> >> >> relatively-inefficient string representation that Racket uses.
>> >> >> >>
>> >> >> >> Sam
>> >> >> >>
>> >> >> >>
>> >> >> >> On Thu, Mar 18, 2021 at 10:28 AM Pawel Mosakowski 
>> >> >> >> <[email protected]>
>> >> >> wrote:
>> >> >> >> >
>> >> >> >> > Hi David,
>> >> >> >> >
>> >> >> >> > Yes, the 21 seconds includes the interpreter startup time. I have
>> >> >> done a simple test to see how long it takes:
>> >> >> >> >
>> >> >> >> > $ time racket -e '(displayln "Hello, world")'
>> >> >> >> > Hello, world
>> >> >> >> >
>> >> >> >> > real 0m0.479s
>> >> >> >> > user 0m0.449s
>> >> >> >> > sys 0m0.030s
>> >> >> >> >
>> >> >> >> > I have also put my code inside a main function and profiled it:
>> >> >> >> >
>> >> >> >> > Profiling results
>> >> >> >> > -----------------
>> >> >> >> > Total cpu time observed: 20910ms (out of 20970ms)
>> >> >> >> > Number of samples taken: 382 (once every 55ms)
>> >> >> >> > (Hiding functions with self<1.0% and local<2.0%: 1 of 12 hidden)
>> >> >> >> >
>> >> >> >> > ==============================================================
>> >> >> >> > Caller
>> >> >> >> > Idx Total Self Name+src Local%
>> >> >> >> > ms(pct) ms(pct) Callee
>> >> >> >> > ==============================================================
>> >> >> >> > [1] 20910(100.0%) 0(0.0%) [running body]
>> >> >> ...word-occurences-profile.rkt":##f
>> >> >> >> > profile-thunk [2] 100.0%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > [running body] [1] 100.0%
>> >> >> >> > [2] 20910(100.0%) 0(0.0%) profile-thunk
>> >> >> ...ket/pkgs/profile-lib/main.rkt:9:0
>> >> >> >> > run [3] 100.0%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > profile-thunk [2] 100.0%
>> >> >> >> > [3] 20910(100.0%) 0(0.0%) run
>> >> >> ...share/racket/pkgs/profile-lib/main.rkt:39:2
>> >> >> >> > main [4] 100.0%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > run [3] 100.0%
>> >> >> >> > [4] 20910(100.0%) 50(0.2%) main
>> >> >> ...cket/count-word-occurences-profile.rkt:5:0
>> >> >> >> > read-from-stdin-it [5] 98.5%
>> >> >> >> > ??? [6] 0.2%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > main [4] 100.0%
>> >> >> >> > [5] 20606(98.5%) 11796(56.4%) read-from-stdin-it
>> >> >> ...-occurences-profile.rkt:19:6
>> >> >> >> > internal-split [7] 42.8%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > main [4] 100.0%
>> >> >> >> > [6] 51(0.2%) 0(0.0%) ???
>> >> >> ...cket/collects/racket/private/sort.rkt:369:3
>> >> >> >> > generic-sort/key [8] 100.0%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > read-from-stdin-it [5]100.0%
>> >> >> >> > [7] 8810(42.1%) 3528(16.9%) internal-split
>> >> >> ...collects/racket/string.rkt:117:0
>> >> >> >> > regexp-split [9] 59.9%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > ??? [6] 100.0%
>> >> >> >> > [8] 51(0.2%) 0(0.0%) generic-sort/key
>> >> >> .../racket/private/sort.rkt:156:2
>> >> >> >> > copying-mergesort [10]100.0%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > internal-split [7] 100.0%
>> >> >> >> > [9] 5282(25.3%) 2810(13.4%) regexp-split
>> >> >> ...ts/racket/private/string.rkt:338:2
>> >> >> >> > loop [11] 46.8%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > generic-sort/key [8] 10.0%
>> >> >> >> > copying-mergesort [10] 90.0%
>> >> >> >> > [10] 51(0.2%) 51(0.2%) copying-mergesort
>> >> >> ...racket/private/sort.rkt:129:8
>> >> >> >> > copying-mergesort [10] 90.0%
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> > regexp-split [9] 100.0%
>> >> >> >> > [11] 2471(11.8%) 2471(11.8%) loop
>> >> >> ...t/collects/racket/private/string.rkt:169:7
>> >> >> >> > --------------------------------------------------------------
>> >> >> >> >
>> >> >> >> > Kind regards,
>> >> >> >> > Pawel
>> >> >> >> >
>> >> >> >> >
>> >> >> >> > On Thursday, March 18, 2021 at 2:09:35 PM UTC [email protected]
>> >> >> wrote:
>> >> >> >> >>
>> >> >> >> >> Hi Pawel,
>> >> >> >> >>
>> >> >> >> >> I'll take a look at the code later, but did that 21 seconds 
>> >> >> >> >> include
>> >> >> startup time for the interpreter?
>> >> >> >> >>
>> >> >> >> >> On Thu, Mar 18, 2021, 9:24 AM Pawel Mosakowski 
>> >> >> >> >> <[email protected]>
>> >> >> wrote:
>> >> >> >> >>>
>> >> >> >> >>> Hello,
>> >> >> >> >>>
>> >> >> >> >>> I am a Racket beginner and I have come across this article:
>> >> >> >> >>>
>> >> >> >> >>> https://benhoyt.com/writings/count-words/
>> >> >> >> >>>
>> >> >> >> >>> This is my attempt at solving the challenge:
>> >> >> >> >>>
>> >> >> >> >>> https://pastebin.com/kL16w5Hc
>> >> >> >> >>>
>> >> >> >> >>> However when I have benchmarked it, it takes ~21 seconds to run
>> >> >> compared to the Python and Ruby versions which take around 3-4 seconds.
>> >> >> >> >>>
>> >> >> >> >>> I understand that both Ruby and Python probably have the string
>> >> >> operations and hash tables implemented in optimized C but is there 
>> >> >> anything
>> >> >> I can do to improve performance of my program?
>> >> >> >> >>>
>> >> >> >> >>> Many thanks for all help and suggestions.
>> >> >> >> >>>
>> >> >> >> >>> --
>> >> >> >> >>> You received this message because you are subscribed to the 
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>> >> >> Groups "Racket Users" group.
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>> >> >> >> >>> it,
>> >> >> send an email to [email protected].
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>> >> >> .
>> >> >> >> >
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