EgorBo

Dynamic PGO in .NET 6.0

Dynamic PGO (Profile-guided optimization) is a JIT-compiler optimization technique that allows JIT to collect additional information about surroundings (aka profile) in tier0 codegen in order to rely on it later during promotion from tier0 to tier1 for hot methods to make them even more efficient.

What exactly PGO can optimize for us?

1. Profile-driving inlining - inliner relies on PGO data and can be very aggressive for hot paths and care less about cold ones, see dotnet/runtime#52708 and dotnet/runtime#55478. A good example where it has visible effects is this StringBuilder benchmark:

2. Guarded devirtualization - most monomorphic virtual/interface calls can be devirtualized using PGO data, e.g.:

void DisposeMe(IDisposable d)

mort3za

# Generate a new pgp key: (better to use gpg2 instead of gpg in all below commands)
gpg --gen-key
# maybe you need some random work in your OS to generate a key. so run this command: `find ./* /home/username -type d | xargs grep some_random_string > /dev/null`

# check current keys:
gpg --list-secret-keys --keyid-format LONG

# See your gpg public key:
gpg --armor --export YOUR_KEY_ID
# YOUR_KEY_ID is the hash in front of `sec` in previous command. (for example sec 4096R/234FAA343232333 => key id is: 234FAA343232333)

zmts

Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication

Last major update: 25.08.2020

• Что такое авторизация/аутентификация
• Где хранить токены
• Как ставить куки ?
• Процесс логина
• Процесс рефреш токенов
• Кража токенов/Механизм контроля токенов

dcode

GitHub Flavored Asciidoc (GFA)

lukas-h

Markdown License badges

Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.

Notes

• The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

• 🇫🇷 Cette liste en français

badboy

Original link: http://www.concentric.net/~Ttwang/tech/inthash.htm
Taken from: http://web.archive.org/web/20071223173210/http://www.concentric.net/~Ttwang/tech/inthash.htm
Reformatted using pandoc

Integer Hash Function

Thomas Wang, Jan 1997

last update Mar 2007

EvilFaeton

# CPU
for cpu in 1 2 ; do
   ( while true; do true; done ) &
done

# IO
for cpu in 1 2 ; do
   ( while true; do find / -type f -exec cp {} /dev/null \; ; done ) &
done

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real