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Bulat-Ziganshin
FastECC
C++2017–2022
Bulat-Ziganshin / FastECC

FastECC

Reed-Solomon coder computing one million parity blocks at 1 GB/s. O(N*log(N)) algo employing FFT.

3Distinct people
3Mentions
0Explicit recommenders
430GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Reed-Solomon coder computing one million parity blocks at 1 GB/s. O(N*log(N)) algo employing FFT.

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, 5:04:57 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 year3 dated mentions

Observed mentions: 2017-05-08 11:07:49 UTC to 2022-07-10 09:10:32 UTC.

012017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022

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 UTC110
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
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC110

What Hacker News says

3 sources
No and yes. For fast Reed-Solomon I'm aware of this: https://github.com/Bulat-Ziganshin/FastECC. It's kind of amazing how far Reed-Solomon has come, thanks to the fast fourier transform. At the very large problem sizes it does slow down more and more though. If cleverly applied (e.g. layering erasure codes) you can make it go very far indeed. I don't like how hardware support is essentially necessary to make the larger field sizes necessary for bigger instances fast. Wirehair is very interesting, and I hope to study it well and describe it more formally as part of my Master's thesis. I'm not aware of any academical analysis of it. I did look into it enough to diagnose it suffers from the same O(n sqrt n) issue that RaptorQ does, again for very large instances. The issue lies in having to do Gaussian Elimination for a submatrix (to solve t
Read the rest
he inactivated columns) near the end of decoding, and this submatrix can be on the order of O(sqrt n). I'm interested in 'very large instances' because ideally I'd be able to create an efficient fountain code with block sizes on the order of the size of a UDP packet, disk page or QR code, which has some very interesting applications.
In Ask HN: What weird or hard problems are you trying to solve?

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