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#float

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Ivan Enderlin 🦀<p>Taming Floating-Point Sums, <a href="https://orlp.net/blog/taming-float-sums/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">orlp.net/blog/taming-float-sum</span><span class="invisible">s/</span></a>.</p><p>The article explores how to sum an array of floats with two goals: (i) the lowest imprecision possible, (ii) as fast as possible.</p><p>It goes from 5.5Gb/s with a high imprecision to 112Gb/s with an acceptable imprecision.</p><p>It also presents the new `std::intrinsics::fadd_algebraic` Rust function the author has written.</p><p><a href="https://floss.social/tags/RustLang" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RustLang</span></a> <a href="https://floss.social/tags/performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>performance</span></a> <a href="https://floss.social/tags/float" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>float</span></a></p>

With permission I wore my festival outfit (甚平, jimbei) to give a presentation in Kyōto on "Gion Matsuri and Japanese Festivals"! After dressing professionally for 105 different academic presentations, this was the first time to cosplay! I love trying new or mischievous things. Cosplay was actually one of the discussion topics along with traditional Japanese clothing. There was a balance of lecture, group discussions, and many questions that I had welcomed. Many of the California college students, here briefly to study abroad, sincerely thanked me afterwards, with words like "awesome." I went all out to prepare the slideshow and to delight the audience with both depth and humor.

Slideshow: researchgate.net/publication/3
or academia.edu/130493544
or Japanese annotated (日本語の説明):
researchmap.jp/waoe/presentati

#Japan #Kyoto #festival #cosplay #clothing #California #study #presentation #religion #Shinto #float
@religion @japan

So I have both float->#minifloat and minifloat->#float conversion in my #CommonLisp minifloat library now. And a lot of constants—NaNs, infinities, most and least representable floats etc. It's basically ready, though severely untested. But hey, I didn't expect I can ever make a float decoding library, let alone in under one month!

I still have to find better algorithms. Some forgotten corners of the academic Internet have pearls of wisdom and I'll eventually find them. But, for now, my algorithms are alright too, running mostly in nanoseconds.

Find it at codeberg.org/aartaka/cl-minifl

Codeberg.orgcl-minifloatsImplementation of minifloats (<=8 bit floats) for Common Lisp