#highperformancecomputing
Live, measured metrics for the hashtag #highperformancecomputing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #highperformancecomputing
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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-15 08:38 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-15 08:38 UTCNo related tags with measured usage found for #highperformancecomputing.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-15 08:38 UTCEverything below is measured over the latest 40 public posts (spanning ~59759 hours).
Posting hours (UTC) — busiest: 06:00
Languages: English (26) · German (9) · Swedish (3) · Italian (1)
Avg boosts / post: 1.2
Top of the latest posts
heise+ | Bit-Rauschen: Weckrufe für europäische IT-Souveränität Die US-Blockade eines KI-Modells für Ausländer verdeutlicht unsere Abhängigkeit. China hat den schnellsten Supercomputer und Firmware soll offener werden. https://www.heise.de/
The IWOCL 2026 program is live! The 14th International Workshop on OpenCL and SYCL is coming to Heilbronn, Germany this May 6–8, and the full conference program has just been published at iwocl.org. This year's lineup is packed. Whether you
China's LineShine Supercomputer: A Sense of Scale ⚡🖥️ China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than
#highperformancecomputing across platforms
every network with a public tag surfaceFollow #highperformancecomputing 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/highperformancecomputing