🚀 Oh, look! Another riveting exploration of mathematical function #optimization that will surely redefine human existence. Apparently, the key to faster asin() was hiding in plain sight, and we bet it was right next to the cure for world hunger. 🙄 Let's all just take a moment to thank the gods of #trigonometry for this groundbreaking revelation. 🥳
https://16bpp.net/blog/post/even-faster-asin-was-staring-right-at-me/ #mathematics #innovation #tech #news #fun #HackerNews #ngated

Even Faster Asin() Was Staring Right at Me

https://16bpp.net/blog/post/even-faster-asin-was-staring-right-at-me/

#HackerNews #Even #Faster #Asin() #Was #Staring #Right #at #Me #hackernews #programming #optimization #math #algorithms

NVIDIA (@nvidia)

AI 추론 최적화의 모습에 관한 게시: Kimi K2.5 모델이 ArtificialAnlys 리더보드에서 빠르게 발전하는 모습을 보여주며, 추론 엔드포인트 제공자들이 NVIDIA Blackwell 아키텍처에서 맞춤 최적화와 NVFP4 등을 활용해 성능 한계를 밀어붙이고 있다는 내용입니다.

https://x.com/nvidia/status/2033281263872676189

#inference #optimization #kimi #nvidia #blackwell

[AWS] EC2とApplication Load Balancer(ALB)を作成する方法 (Part 1)
https://qiita.com/nhatcaofedev/items/b0ca18c7016516f5a7a8?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #AWS #performance #Optimization #loadbalancer #ALB

//go:fix inline and the source-level inliner

https://go.dev/blog/inliner

#HackerNews #go #fix #inline #inliner #source #code #optimization #programming

I'm a little surprised that Rust/LLVM doesn't optimize away certain atomic operations. See https://play.rust-lang.org/?version=stable&mode=release&edition=2024&gist=c9f0f10929e66817a7df54775eb46f52 (compile to assembly in release mode); an unused atomic load (with Relaxed or Acquire ordering) won't be elided, and an atomic swap with unused loaded value won't be downgraded to a store. I'm fairly confident that the atomic loads can be elided, but I'm willing to believe that the downgrading the RMW swap operation might affect e.g. release-acquire sequences. Perhaps these atomic operations are so rare (and usually, hopefully, done properly) that optimizing them is not worthwhile?

#programming #rust #llvm #optimization

Python: The Optimization Ladder

https://cemrehancavdar.com/2026/03/10/optimization-ladder/

#HackerNews #Python #Optimization #Ladder #Programming #Tips #Coding #BestPractices

Prefix sums at gigabytes per second with ARM NEON

https://lemire.me/blog/2026/03/08/prefix-sums-at-tens-of-gigabytes-per-second-with-arm-neon/

#HackerNews #PrefixSums #ARM #NEON #Performance #Optimization #TechBlog #DataProcessing

Website Optimization Measures, Part XXXVI:

In this action-packed episode, improvements around GitHub Actions, article headings, CDNs, spellchecking, stale branches, acronym handling, Bing authentication, Eleventy performance, and site searches.

https://meiert.com/blog/optimization-measures-36/

#webdev #optimization

The Cost of Indirection in Rust

https://blog.sebastiansastre.co/posts/cost-of-indirection-in-rust/

#HackerNews #CostOfIndirection #Rust #Programming #Performance #Optimization #SystemsProgramming

Faster Asin() Was Hiding in Plain Sight

https://16bpp.net/blog/post/faster-asin-was-hiding-in-plain-sight/

#HackerNews #Faster #Asin #Hiding #Plain #Sight #Optimization #Math #Performance

📰 LLVMに対する32ビット定数除算の改善 (👍 33)

🇬🇧 PR merged to LLVM improving 32-bit unsigned constant division optimization using 33-bit magic constants on 64-bit targets.
🇰🇷 64비트 타겟에서 33비트 매직 상수를 사용한 32비트 부호 없는 상수 나눗셈 최적화 개선 PR이 LLVM에 병합됨.

🔗 https://zenn.dev/herumi/articles/const-div-revised5

#LLVM #Optimization #Compiler #Zenn

📰 LLVMに対する32ビット定数除算の改善 (👍 28)

🇬🇧 LLVM optimization PR merged: improves 32-bit constant division using 33-bit magic constants on 64-bit targets, benefiting C/C++/Rust/Swift compilers.
🇰🇷 LLVM 최적화 개선: 64비트 타겟에서 33비트 매직 상수를 사용한 32비트 정수 나눗셈 최적화. C/C++/Rust/Swift 등에 적용.

🔗 https://zenn.dev/herumi/articles/const-div-revised5

#LLVM #Compiler #Optimization #Zenn

Test limits to find the sweet spot under damage: adaptation explodes there. From tanning to training to work—push hard, recover fully, repeat. https://hackernoon.com/the-sweet-spot-is-just-below-burnout #optimization

📰 LLVMに対する32ビット定数除算の改善 (👍 24)

🇬🇧 LLVM optimization improvement for 32-bit constant division merged to main - benefits C/C++/Rust/Swift compilers using 33-bit magic constants
🇰🇷 32비트 상수 나눗셈에 대한 LLVM 최적화 개선이 메인에 병합 - 33비트 매직 상수를 사용해 C/C++/Rust/Swift 컴파일러에 이점

🔗 https://zenn.dev/herumi/articles/const-div-revised5

#LLVM #Compiler #Optimization #Zenn

Dan McAteer (@daniel_mac8)

현재는 AI 모델 최적화가 중심이지만 곧 과학 연구, 신약 개발, 하드웨어 등 객관적 목표를 정량화하고 최적화할 수 있는 모든 분야로 확장될 것이며, 장기적으로는 인간의 '행복'까지도 최적화 대상이 될 수 있다는 전망을 제시합니다.

https://x.com/daniel_mac8/status/2031193113625001986

#aioptimization #drugdiscovery #scientificresearch #hardware #optimization

🚨 Riset terbaru baru saja dirilis!

"Unlock Peak Performance: How to Speed Up Your PC with Microsoft PC Manager"

🔗 Akses repositori/dokumentasi: https://dev.to/living_palace_033483e788f/unlock-peak-performance-how-to-speed-up-your-pc-with-microsoft-pc-manager-45mb

#windows #optimization #pcmasterrace

🚀 Wow, #ParadeDBCompany finally realized #Postgres can do more than just store data! 🎉 After a deep dive into buzzword soup 🍲, they claim to have "optimized" Top K—meaning they changed a few lines of code and hoped for the best. 🙃 Who knew #SQL needed a "Missing Manual" to find its way around a database? 😂
https://www.paradedb.com/blog/optimizing-top-k #Optimization #Buzzwords #Database #HackerNews #ngated

How we optimized Top K in Postgres

https://www.paradedb.com/blog/optimizing-top-k

#HackerNews #Postgres #Optimization #TopK #DatabasePerformance #DataEngineering

Robust estimation demands highly efficient computation, especially in streaming anomaly detection where latency budgets are tight.

While Rousseeuw & Croux's robust estimators ($Q_n$ and $S_n$), and Rousseeuw & Verboven's M-estimators of location and scale for very small samples, provide exceptional reliability, computing them requires intensive math.

robscale 0.1.5 is now on CRAN. It delivers a native C++17/Rcpp implementation designed for absolute speed. The package utilizes SIMD-vectorized $\tanh$ evaluation, Newton-Raphson iteration, and optimal sorting networks for cache-aware median selection.

The result? A 1.6x up to ~28x performance leap over pure-R implementations. The mathematical results remain identical; only the computational underpinnings change.

📦 CRAN: https://cran.r-project.org/package=robscale
💻 Code: https://github.com/davdittrich/robscale

#RStats #RobustStatistics #DataScience #Optimization