TE
TechEcho
Home24h TopNewestBestAskShowJobs
GitHubTwitter
Home

TechEcho

A tech news platform built with Next.js, providing global tech news and discussions.

GitHubTwitter

Home

HomeNewestBestAskShowJobs

Resources

HackerNews APIOriginal HackerNewsNext.js

© 2025 TechEcho. All rights reserved.

Evaluation of Bfloat16, Posit, and Takum Arithmetics in Sparse Linear Solvers

3 pointsby jobstijl4 months ago

2 comments

jobstijl4 months ago
<i>Our experiments demonstrate that tapered-precision arithmetic consistently outperforms IEEE 754 floating-point numbers in all tested scenarios. Among the tapered-precision formats, takums exhibited exceptional performance, outperforming bfloat16 in every case. While occasionally marginally less accurate than posits, takums delivered comparable results overall and demonstrated superior numerical stability. Notably, we successfully introduced the application of 8-bit posits and takums in mixed-precision iterative refinement, marking a possibly significant milestone in numerical computing. Additionally, GMRES exhibited particular benefit from tapered-precision formats, with takums delivering outstanding results, surpassing posits in all cases.</i><p>Impressive results from Takums (<a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2404.18603" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2404.18603</a>).<p>They also seem better then Posits for implementation in hardware. <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;2408.10594" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;pdf&#x2F;2408.10594</a>
fithisux4 months ago
Amazing.