#BiCGSTAB

Live, measured metrics for the hashtag #BiCGSTAB 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 #bicgstab

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$110.68/ year · 8-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0.2
Avg reactions / post
Mastodon · last 5
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-01 15:07 UTC
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01

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 2026-08-01 15:07 UTC

No related tags with measured usage found for #bicgstab.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 15:07 UTC

Everything below is measured over the latest 5 public posts (spanning ~25385 hours).

Top of the latest posts

  • Although the focus of the paper is on #SmoothedParticleHydrodynamics, and the simulation of viscous fluids, the key finding is of more general interest: the numerical stability of #BiCGSTAB can be improved by rewriting the standard formulat

    Giuseppe Bilotta@[email protected]112022-07-07 14:56 UTCView post →
  • That first implementation didn't even support the multi-GPU and multi-node features of #GPUSPH (could only run on a single GPU), but it paved the way for the full version, that took advantage of the whole infrastructure of GPUSPH in multipl

    Giuseppe Bilotta@[email protected]002025-05-30 07:45 UTCView post →
  • Even now, Thrust as a dependency is one of the main reason why we have a #CUDA backend, a #HIP / #ROCm backend and a pure #CPU backend in #GPUSPH, but not a #SYCL or #OneAPI backend (which would allow us to extend hardware support to #Intel

    Giuseppe Bilotta@[email protected]002025-03-10 21:59 UTCView post →

#bicgstab across platforms

every network with a public tag surface

Follow #bicgstab 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/bicgstab