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Path: ...!weretis.net!feeder9.news.weretis.net!news.quux.org!eternal-september.org!feeder3.eternal-september.org!news.eternal-september.org!eternal-september.org!.POSTED!not-for-mail From: Michael S <already5chosen@yahoo.com> Newsgroups: comp.arch Subject: Re: Cost of handling misaligned access Date: Thu, 6 Feb 2025 23:32:00 +0200 Organization: A noiseless patient Spider Lines: 77 Message-ID: <20250206233200.00001fc3@yahoo.com> References: <5lNnP.1313925$2xE6.991023@fx18.iad> <vnosj6$t5o0$1@dont-email.me> <2025Feb3.075550@mips.complang.tuwien.ac.at> <wi7oP.2208275$FOb4.591154@fx15.iad> <2025Feb4.191631@mips.complang.tuwien.ac.at> <vo061a$2fiql$1@dont-email.me> <20250206000143.00000dd9@yahoo.com> <2025Feb6.115939@mips.complang.tuwien.ac.at> <20250206152808.0000058f@yahoo.com> <vo2iqq$30elm$1@dont-email.me> <vo2p33$31lqn$1@dont-email.me> <20250206211932.00001022@yahoo.com> <vo36go$345o3$1@dont-email.me> MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: quoted-printable Injection-Date: Thu, 06 Feb 2025 22:32:03 +0100 (CET) Injection-Info: dont-email.me; posting-host="c56742e47efb69d8e4c2d1a3629b738b"; logging-data="3300746"; mail-complaints-to="abuse@eternal-september.org"; posting-account="U2FsdGVkX19SOe//7K58PVqCEedfcupQmteIBna6Kdk=" Cancel-Lock: sha1:mvzs1uJ4ohxTsKatWBml90619jc= X-Newsreader: Claws Mail 4.1.1 (GTK 3.24.34; x86_64-w64-mingw32) Bytes: 4343 On Thu, 6 Feb 2025 21:36:38 +0100 Terje Mathisen <terje.mathisen@tmsw.no> wrote: > Michael S wrote: > > On Thu, 6 Feb 2025 17:47:30 +0100 > > Terje Mathisen <terje.mathisen@tmsw.no> wrote: > > =20 > >> Terje Mathisen wrote: =20 > >>> Michael S wrote: =20 > >>>> The point of my proposal is not reduction of loop overhead and > >>>> not reduction of the # of x86 instructions (in fact, with my > >>>> proposal the # of x86 instructions is increased), but reduction > >>>> in # of uOps due to reuse of loaded values. > >>>> The theory behind it is that most typically in code with very > >>>> high IPC like the one above the main bottleneck is the # of uOps > >>>> that flows through rename stage. =20 > >>> > >>> Aha! I see what you mean: Yes, this would be better if the > >>> > >>> =C2=A0 VPAND reg,reg,[mem] > >>> > >>> instructions actually took more than one cycle each, but as the > >>> size of the arrays were just 1000 bytes each (250 keys + 250 > >>> locks), everything fits easily in $L1. (BTW, I did try to add 6 > >>> dummy keys and locks just to avoid any loop end overhead, but that > >>> actually ran slower.) =20 > >> > >> I've just tested it by running either 2 or 4 locks in parallel in > >> the inner loop: The fastest time I saw actually did drop a > >> smidgen, from 5800 ns to 5700 ns (for both 2 and 4 wide), with 100 > >> ns being the timing resolution I get from the Rust run_benchmark() > >> function. > >> > >> So yes, it is slightly better to run a stripe instead of just a > >> single row in each outer loop. > >> > >> Terje > >> =20 > >=20 > > Assuming that your CPU is new and runs at decent frequency (4-4.5 > > GHz), the results are 2-3 times slower than expected. I would guess > > that it happens because there are too few iterations in the inner > > loop. Turning unrolling upside down, as I suggested in the previous > > post, should fix it. > > Very easy to do in C with intrinsic. Probably not easy in Rust. =20 >=20 > I did mention that this is a (cheap) laptop? It is about 15 months > old, and with a base frequency of 2.676 GHz. You describe it different ways but omit the only one that will give us sufficient information - CPU model number. > I guess that would > explain most of the difference between what I see and what you > expected? >=20 > BTW, when I timed 1000 calls to that 5-6 us program, to get around > teh 100 ns timer resolution, each iteration ran in 5.23 us. >=20 > Terje >=20 > That measurement could be good enough on desktop. Or not. It certainly not good enough on laptop and even less so on server. On laptop I wouldn't be sutisfied before I lok my program to particualr core, then do something like 21 measurements with 100K calls in each measurement (~10 sec total) and report median of 21.