#前綴和
Live, measured metrics for the hashtag #前綴和 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #前綴和
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 2026-08-24 21:54 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 2026-08-24 21:54 UTCNo related tags with measured usage found for #前綴和.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 21:54 UTCEverything below is measured over the latest 2 public posts (spanning ~4717 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (2)
Avg boosts / post: 0
Used together with
Top of the latest posts
🌗 利用 ARM NEON 指令集實現每秒數十 GB 的前綴和運算 ➤ 突破序列計算瓶頸，探究高效能向量化算法 ✤ https://lemire.me/blog/2026/03/08/prefix-sums-at-tens-of-gigabytes-per-second-with-arm-neon/ 在資料處理中，「前綴和」（Prefix Sum）是常見的需求，即計算序列的累加總和。傳統的 C 語言迴圈方法受限於逐項累加的序列依賴性，效能通常受限於處理器的時脈頻率。Dani
🌗 GPU前綴和演算法的CUDA、D3D12、Unity與WGPU實現 ➤ 跨平臺GPU前綴和演算法的全面實現與創新後援機制 ✤ https://github.com/b0nes164/GPUPrefixSums 此專案彙集了多種GPU前綴和（prefix sum，又稱scan）演算法，並以CUDA、DirectX 12、Unity及WebGPU（WGPU）等技術進行了實現。特別之處在於其提出的「解耦後援」（Decoupled Fallback）技術，能解決在缺乏前向線程進
#前綴和 across platforms
every network with a public tag surfaceFollow #前綴和 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/前綴和