#ngicore — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ngicore, 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!
-
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!
-
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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lcagent can be used to send and receive data over #multicast and to pipe data between programs on one computer and as many receivers as the multicast network can support simultaneously. We're currently using it now to run our own CI builds by multicasting the patch to multiple build servers simultaneously.
This could also be useful for monitoring and configuration management.
#librecast -
lcagent can be used to send and receive data over #multicast and to pipe data between programs on one computer and as many receivers as the multicast network can support simultaneously. We're currently using it now to run our own CI builds by multicasting the patch to multiple build servers simultaneously.
This could also be useful for monitoring and configuration management.
#librecast -
lcagent can be used to send and receive data over #multicast and to pipe data between programs on one computer and as many receivers as the multicast network can support simultaneously. We're currently using it now to run our own CI builds by multicasting the patch to multiple build servers simultaneously.
This could also be useful for monitoring and configuration management.
#librecast -
lcagent can be used to send and receive data over #multicast and to pipe data between programs on one computer and as many receivers as the multicast network can support simultaneously. We're currently using it now to run our own CI builds by multicasting the patch to multiple build servers simultaneously.
This could also be useful for monitoring and configuration management.
#librecast -
lcagent can be used to send and receive data over #multicast and to pipe data between programs on one computer and as many receivers as the multicast network can support simultaneously. We're currently using it now to run our own CI builds by multicasting the patch to multiple build servers simultaneously.
This could also be useful for monitoring and configuration management.
#librecast