🚀 Oh, look, another forked attempt at reinventing the wheel! 🛞 'Blacksky' tosses some #optimizations and caching into the mix, but who are we kidding? GitHub's got more bells and whistles than a parade of clowns, and this app is just another one of them. 🎪🙃
https://github.com/blacksky-algorithms/atproto #reinventingthewheel #Blacksky #GitHub #techhumor #appdevelopment #HackerNews #ngated
GitHub - blacksky-algorithms/atproto: Blacksky fork of bluesky-social/atproto with AppView performance optimizations, caching, and community features

Blacksky fork of bluesky-social/atproto with AppView performance optimizations, caching, and community features - blacksky-algorithms/atproto

GitHub
🤔 Ah, yes, let's dive into the magical realm of #PostgreSQL #optimizations where 'unconventional' means you missed the last update! 🧐 Instead of relying on proven methods, why not try your luck with these wild #ideas that sound like they were pulled from a developer's fever dream? 🎩✨
https://hakibenita.com/postgresql-unconventional-optimizations #Unconventional #Developer #Insights #Tech #Humor #HackerNews #ngated
Unconventional PostgreSQL Optimizations

Creative ideas for speeding up queries in PostgreSQL

Unconventional PostgreSQL Optimizations

Creative ideas for speeding up queries in PostgreSQL

🚀Welcome to "SIMD #City," where we auto-vectorize your boredom into an endless parade of buzzwords! 🤖 Matt Godbolt takes us on a riveting #journey through #compiler optimizations—because who needs excitement when you can have "sophisticated" math?🔢 Spoiler: it's really just big words for feeding numbers into arrays. 🌽👈
https://xania.org/202512/20-simd-city #SIMD #optimizations #tech #buzzwords #math #HackerNews #ngated
SIMD City: Auto-vectorisation — Matt Godbolt’s blog

Doing more with less: vectorising can speed your code up 8x or more!

🤡 In a shocking twist, we've discovered that using #Rust doesn't automatically make your code faster! 🚀 Who knew? Apparently, some #design #decisions and #optimizations might actually matter too. But hey, don't worry, we'll wade through a sea of linked talks and #tech jargon to explain the magic behind UV's speediness, all while pretending it's a groundbreaking revelation. 📚🔍
https://nesbitt.io/2025/12/26/how-uv-got-so-fast.html #Performance #Insights #HackerNews #ngated
How uv got so fast

uv’s speed comes from engineering decisions, not just Rust. Static metadata, dropping legacy formats, and standards that didn’t exist five years ago.

Andrew Nesbitt
📚🔬 Behold! Another riveting tale of matrix multiplication that promises to make your brain cells do backflips. 🤸‍♂️🎉 Multithreaded #FP32 #optimizations that require you to sacrifice your first-born to hyperparameters just to squeeze out a few extra bytes of performance. ⚙️🛠️ And if you want the actual code, here's a hint: #sgemm.c. Happy debugging! 🖥️💥
https://salykova.github.io/gemm-cpu #matrixmultiplication #multithreading #debugging #HackerNews #ngated
Advanced Matrix Multiplication Optimization on Modern Multi-Core Processors

A detailed blog post on optimizing multi-threaded matrix multiplication for x86 processors to achieve OpenBLAS/MKL-like performance. Tags: High-performance GEMM on CPU, Fast GEMM on CPU, High-performance matrix multiplication on CPU, Fast Matrix Multiplication on CPU, Matrix multiplication in C, GEMM in C, Matrix multiplication acceleration.

salykova

Features deployed for https://apply.coop!

- Main job listing paginates 25 jobs at time for faster page loads
- Atom/RSS/JSON item titles have working location, pay range, and workplace info
- Jobs/Workplaces sitemaps to help find jobs easier via search engines

#applycoop #Jobs #RSS #Optimizations #SEO

Find Meaningful Work at Values-Driven Organizations | apply.coop

apply.coop is where good people find great jobs. Looking for a career with impact? We connect you to jobs at co-ops, nonprofits, and public benefit organizations. Apply now!

Does it matter if we are compiling with optimizations off (O0) or optimizations on (O3) if the problem is memory bound? Let’s find out…

#optimizations #performance #instructionlevelparallelism #ilp #compiler #gcc #memorybound

https://johnnysswlab.com/an-optimizing-compiler-doesnt-help-much-with-long-instruction-dependencies/

An optimizing compiler doesn't help much with long instruction dependencies - Johnny's Software Lab

Does it matter if we are compiling with optimizations off (O0) or optimizations on (O3) if the problem is memory bound? Let's find out...

Johnny's Software Lab
Armbian Updates: OMV support, boot improvents, Rockchip optimizations - Armbian

This week, the Armbian development team pushed several noteworthy enhancements, with improvements spanning user experience, bootloader upgrades, and broader system support. Notably, this week saw the debut of OpenMediaVault in Armbian’s software installer, a move that brings plug-and-play NAS functionality to supported boards. OpenMediaVault is a feature-rich platform that enables users to turn single-board computers

Armbian - Linux for ARM development boards

Часть 3. Векторизация на Go: CGo, транзакции, компиляторы, поддержка, байтовые инструкции

В первой части статьи мы рассмотрели , как можно вручную ускорить Go-код с помощью векторизации и SIMD-инструкций, реализованных через Go-ассемблер. Написали простую, но показательно быструю реализацию sliceContains и увидели, что даже базовая векторизация может дать ускорение в 10–14 раз по сравнению со стандартной реализацией. Во второй части статьи погрузились в практическое применение SIMD в Go-ассемблере, реализовали функцию SliceContainsV1 и изучили, как с помощью VADD, VDUP и других инструкций можно добиться 10–14-кратного ускорения простых задач. Но возможности оптимизации Go-программ на этом не заканчиваются. В этой части мы пойдём дальше: рассмотрим другие техники низкоуровневой оптимизации — от использования C-кода и альтернативных компиляторов с поддержкой векторизации до работы с аппаратными транзакциями памяти на Intel. Поговорим о том, как внедрять ассемблер в продакшен-код, не боясь за его поддержку, и как обойти ограничения стандартного Go-компилятора. Привет, Хабр! Меня зовут Игорь Панасюк, я работаю в Яндекс, преподаю в ИТМО, а также в свободное время выступаю на конференциях, делюсь опытом в соцсетях и помогаю развитию Go-сообщества, веду телеграм-канал и youtube-канал. Если вы уже знакомы с базовыми техниками векторизации, эта часть поможет глубже понять, как устроены продвинутые способы ускорения Go-кода и на что стоит обратить внимание при работе с архитектурно-зависимыми оптимизациями.

https://habr.com/ru/companies/oleg-bunin/articles/905972/

#golang #optimizations #компилятор #gccgo #gollvm #ассемблер #word #byte #производительность

Часть 3. Векторизация на Go: CGo, транзакции, компиляторы, поддержка, байтовые инструкции

В первой части статьи мы рассмотрели , как можно вручную ускорить Go-код с помощью векторизации и SIMD-инструкций, реализованных через Go-ассемблер. Написали простую, но показательно быструю...

Хабр