#lcrq — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #lcrq, aggregated by home.social.
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Less than a week and we've got a minor point release for LCRQ.
Version 0.3.1 is now available from @Codeberg It's also already in @debian thanks to @vagrantc
https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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Less than a week and we've got a minor point release for LCRQ.
Version 0.3.1 is now available from @Codeberg It's also already in @debian thanks to @vagrantc
https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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Less than a week and we've got a minor point release for LCRQ.
Version 0.3.1 is now available from @Codeberg It's also already in @debian thanks to @vagrantc
https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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Less than a week and we've got a minor point release for LCRQ.
Version 0.3.1 is now available from @Codeberg It's also already in @debian thanks to @vagrantc
https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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Less than a week and we've got a minor point release for LCRQ.
Version 0.3.1 is now available from @Codeberg It's also already in @debian thanks to @vagrantc
https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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It's a new lcrq release with MOAR SPEED !
Version 0.3.0 is now available from @Codeberg
We have optimized lcrq for some of the AMD64 SIMD instruction sets which has achieved some large performance gains on some CPUs, especially those with
AVX512.https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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It's a new lcrq release with MOAR SPEED !
Version 0.3.0 is now available from @Codeberg
We have optimized lcrq for some of the AMD64 SIMD instruction sets which has achieved some large performance gains on some CPUs, especially those with
AVX512.https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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It's a new lcrq release with MOAR SPEED !
Version 0.3.0 is now available from @Codeberg
We have optimized lcrq for some of the AMD64 SIMD instruction sets which has achieved some large performance gains on some CPUs, especially those with
AVX512.https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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It's a new lcrq release with MOAR SPEED !
Version 0.3.0 is now available from @Codeberg
We have optimized lcrq for some of the AMD64 SIMD instruction sets which has achieved some large performance gains on some CPUs, especially those with
AVX512.https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
-
It's a new lcrq release with MOAR SPEED !
Version 0.3.0 is now available from @Codeberg
We have optimized lcrq for some of the AMD64 SIMD instruction sets which has achieved some large performance gains on some CPUs, especially those with
AVX512.https://lists.sr.ht/~librecast/librecast-announce/%[email protected]%3E
This was funded by #NGICore thanks to @NGIZero for funding these optimizations of our RaptorQ FEC Library!
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In previous versions, it was necessary to build from source on the target machine to achieve optimal performance. However, most users of linux and *BSDs install their software from binary packages provided by their distribution. These packages need to run on the lowest common denominator in their CPU family e.g for x86_64 binary packages target a CPU released in 2004 (20 Years ago)!
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It's a new release of lcrq!
lcrq now makes use of a CPU dispatcher to detect the available SIMD instruction sets at runtime, ensuring that the code runs as fast as possible on the target machine.
Thanks to @nlnet and #NGIAssure for funding this work.