#gpu編程
Live, measured metrics for the hashtag #gpu編程 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #gpu編程
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-25 06:58 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-25 06:58 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-25 06:58 UTCEverything below is measured over the latest 3 public posts (spanning ~3271 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (2)
Avg boosts / post: 0
Used together with
Top of the latest posts
🌘 循環神經網路是否已足夠？GPU編程視角 ➤ 利用CUDA和並行掃描演算法加速GRU與LSTM ✤ https://dhruvmsheth.github.io/projects/gpu_pogramming_curnn/ 本文探討如何透過簡化循環神經網路（RNN）的門控機制（GRU與LSTM），將其遞歸關係轉化為可並行掃描（parallel scan）的線性遞歸，從而將傳統的序列處理時間複雜度從O(T)降低至O(log T)。作者透過CUDA實現了簡化的minGRU和mi
Ask HN: How to learn CUDA to professional level | Hacker News LinkAsk HN: How to learn CUDA to professional level | Hacker News https://news.ycombinator.com/item?id=35756489 📌 Summary: 本文集結多位程式開發者及CUDA使用者的經驗與建議，探討如何達到專業級的CUDA編程能力。學習CUDA的核心
🌕 GitHub - VictorTaelin/WebMonkeys：JavaScript 上的大規模並行 GPU 編程，簡潔易用 ➤ JavaScript 實現 GPU 並行計算的創新解決方案 ✤ https://github.com/VictorTaelin/WebMonkeys WebMonkeys 提供簡易 API 實現 JavaScript 環境的 GPU 大規模並行運算，支援瀏覽器與 Node.js，透過 GLSL 擴展語法實現高效能數值運算。 + 終於有能簡化
What “gpu編程” means
WikipediaA graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a component on a discrete graphics card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs are also increasingly being used for artificial intelligence (AI) processing and model training due to linear algebra acceleration, which is also used extensively in graphics processing.
“Graphics processing unit” on Wikipedia (CC BY-SA) →#gpu編程 across platforms
every network with a public tag surfaceFollow #gpu編程 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/gpu編程