b380f24181
License-Update: Copyright updated to 2.2.0.
Changelog:
==========
-Substantial improvement to threading performance across the board
-Mixed precision solves + iterative refinement when using CUDA or CPU based
dense linear solvers, or EIGEN_SPARSE as the sparse linear algebra library.
-Cuda based CGNR and preconditioner support
-Nested Dissection (NESDIS) is now supported as an ordering method in addition
to AMD.
-Power Bundle Adjustment is available as a linear solver and as a preconditioner
by the name of SCHUR POWER SERIES EXPANSION
-Generalized Euler Angle conversions
Signed-off-by: Wang Mingyu <wangmy@fujitsu.com>
Signed-off-by: Khem Raj <raj.khem@gmail.com>
(cherry picked from commit
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| lib/oeqa/selftest/cases | ||
| licenses | ||
| recipes-benchmark | ||
| recipes-bsp | ||
| recipes-connectivity | ||
| recipes-core | ||
| recipes-crypto | ||
| recipes-dbs | ||
| recipes-devtools | ||
| recipes-extended | ||
| recipes-gnome | ||
| recipes-graphics | ||
| recipes-kernel | ||
| recipes-multimedia | ||
| recipes-navigation | ||
| recipes-networking/cyrus-sasl | ||
| recipes-printing | ||
| recipes-security | ||
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| recipes-test | ||
| COPYING.MIT | ||
| README.md | ||
meta-oe
This layer depends on:
URI: git://github.com/openembedded/openembedded-core.git branch: nanbield
luajit recipe requires host compiler to be able to generate 32bit code when target is 32bit e.g. arm, so ensure that $CC -m32 is functional on build host, if building this recipe, needed packages to fullfit this might have different names on different host distributions e.g. on archlinux based distributions install prerequisites like below
pacman -S lib32-gcc-libs lib32-glibc
Ubuntu sudo apt-get install gcc-multilib linux-libc-dev:i386
Send pull requests to openembedded-devel@lists.openembedded.org with '[meta-oe][nanbield]' in the subject'
When sending single patches, please use something like: 'git send-email -M -1 --to openembedded-devel@lists.openembedded.org --subject-prefix="meta-oe][nanbield][PATCH"'
You are encouraged to fork the mirror on GitHub https://github.com/openembedded/meta-openembedded to share your patches, this is preferred for patch sets consisting of more than one patch.
Other services like GitLab, repo.or.cz or self-hosted setups are of course accepted as well, 'git fetch ' works the same on all of them. We recommend GitHub because it is free, easy to use, has been proven to be reliable and has a really good web GUI.
layer maintainer: Armin Kuster akuster808@gmail.com