#cublas

Live, measured metrics for the hashtag #cublas from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #cublas

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.

$520.70/ year · 6-character #name
Claim #cublas$520.70/yrBuy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
9
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 9
0
Avg reactions / post
Mastodon · last 9
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 04:01 UTC
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23
0
08-24

0 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 04:01 UTC

No related tags with measured usage found for #cublas.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 04:01 UTC

Everything below is measured over the latest 9 public posts (spanning ~17372 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (7) · Chinese (Taiwan) (1) · Russian (1)

Avg boosts / post: 0.1

Top of the latest posts

  • 🌗 奇怪的是,GPU 矩陣乘法在給予「可預測」資料時執行得更快! ➤ 揭開 GPU 效能與資料可預測性的意外關聯:動態功耗的幕後影響 ✤ https://www.thonking.ai/p/strangely-matrix-multiplications 作者在測試 GPU 上的矩陣乘法效能時,意外發現了令人費解的現象:當輸入資料「可預測」(例如全為零或全為一)時,運算速度竟然比輸入隨機資料更快。這項發現源於他將 CUTLASS 函式庫的效能評測結果,與透過 PyTorch

    GripNews@[email protected]002026-05-27 14:23 UTCView post →
  • Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs #Triton #CUDA #CUBLAS #LLM #Performance #Package https://hgpu.org/?p=30763

    HGPU group@[email protected]002026-05-03 21:01 UTCView post →
  • FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow #CUDA #CUBLAS https://hgpu.org/?p=30760

    HGPU group@[email protected]002026-05-03 20:58 UTCView post →

#cublas across platforms

every network with a public tag surface

Follow #cublas 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/cublas