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nemequ
LZSSE-SIMDe
C++2017–2020
nemequ / LZSSE-SIMDe

LZSSE-SIMDe

LZSSE compression codec ported to SIMDe

2Distinct people
2Mentions
0Explicit recommenders
21GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

LZSSE compression codec ported to SIMDe

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 year2 dated mentions

Observed mentions: 2017-05-12 07:52:43 UTC to 2020-08-04 23:05:27 UTC.

012017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020

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.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101

What Hacker News says

2 sources
I hadn't seen that post before, thanks. This doesn't quite apply to SIMDe; the problem that post is talking about is really at a higher level… whether it is faster to do a bunch of shuffles or use some scalar code. Once SIMDe is called you've already made your decision, and at that level the hardware-based shuffles are much faster than scalar code. For example, see the decompression speed benchmarks for LZSSE-SIMDe (<https://github.com/nemequ/LZSSE-SIMDe>) (they're in the README). It sounds like what that post really needs is a fast 16-bit gather operation. AVX2 has some 32-bit gather functions which you may be usable (2 gathers + a blend could emulate 16-bit gathers). For NEON, you could probably use one of the `vtbl` functions; they're all 8-bit, but that just means you have separate index entries for high and low bytes… it's a bit
Read the rest
more code, but there shouldn't be any runtime overhead.
In SIMD Everywhere: 0.5.0

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