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 <sa...@cs.indiana.edu>
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
> <sa...@cs.indiana.edu> 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 <bog...@defn.io> 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
> >> >> > <sa...@cs.indiana.edu> 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 <
> pa...@mosakowski.net>
> >> >> 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
> david....@gmail.com
> >> >> 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 <
> pa...@mosakowski.net>
> >> >> 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.
> >> >> >> >>>
> >> >> >> >>> --
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