VectorizationBase.jl

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

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2Mentions

0Explicit recommenders

72GitHub stars

REPOSITORY AT A GLANCE

What to know before exploring

What it is

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week2 dated mentions

Observed mentions: 2020-10-10 20:12:54 UTC to 2020-12-14 23:44:17 UTC. Weeks start Monday, UTC.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges

UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
Period	Start (UTC)	End (exclusive, UTC)	Mentions	Comments
Oct 5	2020-10-05 00:00:00 UTC	2020-10-12 00:00:00 UTC	1	1
Oct 12	2020-10-12 00:00:00 UTC	2020-10-19 00:00:00 UTC	0	0
Oct 19	2020-10-19 00:00:00 UTC	2020-10-26 00:00:00 UTC	0	0
Oct 26	2020-10-26 00:00:00 UTC	2020-11-02 00:00:00 UTC	0	0
Nov 2	2020-11-02 00:00:00 UTC	2020-11-09 00:00:00 UTC	0	0
Nov 9	2020-11-09 00:00:00 UTC	2020-11-16 00:00:00 UTC	0	0
Nov 16	2020-11-16 00:00:00 UTC	2020-11-23 00:00:00 UTC	0	0
Nov 23	2020-11-23 00:00:00 UTC	2020-11-30 00:00:00 UTC	0	0
Nov 30	2020-11-30 00:00:00 UTC	2020-12-07 00:00:00 UTC	0	0
Dec 7	2020-12-07 00:00:00 UTC	2020-12-14 00:00:00 UTC	0	0
Dec 14	2020-12-14 00:00:00 UTC	2020-12-21 00:00:00 UTC	1	1

What Hacker News says

2 sources

celrod·Dec 14, 2020

Running on Rosetta (and looking like an x86 cpu without fma) is likely a contributing factor, but the M1 was much slower for sums and sums of squares than a Cascadelake (Intel, avx512) cpu here: https://github.com/chriselrod/VectorizationBase.jl/issues/22 I do a lot of SIMD optimization, so it'll be interesting to see how the M1 competes once there's native support in Julia.

In ARM MacBook vs. Intel MacBook

eigenspace·Oct 10, 2020

Ah I see, yeah I misunderstood you. > What I did't see was how I could use the AVX2 instructions myself. If you ever find yourself in a situation where you want manual control over vectorization, the package SIMD.jl [1] is pretty good for manual, handwritten vectorization. There's also VectorizationBase.jl [2] which LoopVectorization.jl uses. Which one of these two packages are most appropriate just kinda depends on what sort of interface you prefer. [1] https://github.com/eschnett/SIMD.jl [2] https://github.com/chriselrod/VectorizationBase.jl

In The unreasonable effectiveness of the Julia programming language