Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
shakedown.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A community for live music fans with roots in the jam scene. Shakedown Social is run by a team of volunteers (led by @clifff and @sethadam1) and funded by donations.

Administered by:

Server stats:

285
active users

shakedown.social: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.4

#openblas

0 posts0 participants0 posts today
Dr. Robert M Flight<p>At what point does setting more threads for OpenBLAS actually help?</p><p>For example, I have an SVD operation in <a href="https://mastodon.social/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RStats</span></a> on largish matrices (6000 rows and 6000 columns; doing an inverse), where default BLAS on Ubuntu is ~ 20 min. </p><p>OpenBLAS with 1 or 4 threads takes ~ 2 min (10X speedup!). With 4 threads, I can see the additional usage of cores, but overall time is the same as 1 thread. </p><p>Is there some magic size where using more threads for SVD will actually help?</p><p><a href="https://mastodon.social/tags/MultiThreading" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MultiThreading</span></a> <a href="https://mastodon.social/tags/OpenBLAS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenBLAS</span></a></p>
FCLC<p>Time for an <a href="https://mast.hpc.social/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>introduction</span></a>! <br>I'm a young Canuck with interests/experience in <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a>, <a href="https://mast.hpc.social/tags/Linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Linux</span></a>, <a href="https://mast.hpc.social/tags/BLAS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BLAS</span></a>, <a href="https://mast.hpc.social/tags/SYCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SYCL</span></a>, <a href="https://mast.hpc.social/tags/C" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>C</span></a>, <a href="https://mast.hpc.social/tags/AVX512" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AVX512</span></a>, <a href="https://mast.hpc.social/tags/Rust" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Rust</span></a>, heterogeneous compute &amp; other such things. </p><p>Currently my personal projects are bringing <a href="https://mast.hpc.social/tags/FP16" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FP16</span></a> to the <a href="https://mast.hpc.social/tags/OpenBLAS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenBLAS</span></a> library, working to standardize what Complex domain BLAS FP16 kernels/implementations should look like, and making sure <a href="https://mast.hpc.social/tags/SYCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SYCL</span></a> is available everywhere. </p><p>I also write every now and again. Here's the tail of AVX512 FP16 on Alderlake <br><a href="https://gist.github.com/FCLC/56e4b3f4a4d98cfd274d1430fabb9458" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gist.github.com/FCLC/56e4b3f4a</span><span class="invisible">4d98cfd274d1430fabb9458</span></a></p>
ExploreLive feeds
About