#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.
Own #bicgstab
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.online (Mastodon public tags API) · fetched 2026-10-30 17:02 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-30 17:02 UTCNo related tags with measured usage found for #bicgstab.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-30 17:02 UTCEverything below is measured over the latest 5 public posts (spanning ~25385 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 0.6
Top of the latest posts
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
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
This, BTW, is why we developed a semi-implicit formulation that handles the viscous part (only) implicitly: https://www.sciencedirect.com/science/article/abs/pii/S002199911830593X https://www.sciencedirect.com/science/article/abs/pii/S00219
What “bicgstab” means
WikipediaIn numerical linear algebra, the biconjugate gradient stabilized method, often abbreviated as BiCGSTAB, is an iterative method developed by H. A. van der Vorst for the numerical solution of nonsymmetric linear systems. It is a variant of the biconjugate gradient method (BiCG) and has faster and smoother convergence than the original BiCG as well as other variants such as the conjugate gradient squared method (CGS). It is a Krylov subspace method. Unlike the original BiCG method, it doesn't requi
“Biconjugate gradient stabilized method” on Wikipedia (CC BY-SA) →#bicgstab across platforms
every network with a public tag surfaceFollow #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