#parallelcomputing
Live, measured metrics for the hashtag #parallelcomputing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #parallelcomputing
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 2026-10-14 18:36 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 2026-10-14 18:36 UTCNo related tags with measured usage found for #parallelcomputing.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-14 18:36 UTCEverything below is measured over the latest 40 public posts (spanning ~12636 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (35) · German (4) · Italian (1)
Avg boosts / post: 0.7
Top of the latest posts
We had a very productive F2F meeting last week at the Argonne Leadership Computing Facility, with many thanks to our great hosts at the Argonne National Lab. The main objective was to feature-freeze OpenMP API version 6.1 and we accomplishe
Sharing big R objects across processes shouldn’t mean copying them over and over. mori uses shared memory + ALTREP to give you zero-copy access—multiple processes, one underlying object. Fast, memory-efficient, and built for modern parallel
Join us at Supercomputing 2025 in St. Louis! We have a packed agenda at this year's show with BOFs and tutorials, and be sure to join us in booth #911 to meet with OpenMP experts to ask your toughest questions, enter the daily Book Drawing,
#parallelcomputing across platforms
every network with a public tag surfaceFollow #parallelcomputing 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/parallelcomputing