зеркало из https://github.com/microsoft/msccl.git
Коммит
90af7c73ef
2
Makefile
2
Makefile
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@ -58,7 +58,7 @@ LIBSRCFILES := libwrap.cu core.cu all_gather.cu all_reduce.cu broadcast.cu reduc
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LIBNAME := libnccl.so
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VER_MAJOR := 1
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VER_MINOR := 0
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VER_PATCH := 0
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VER_PATCH := 2
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TESTS := all_gather_test all_reduce_test broadcast_test reduce_test reduce_scatter_test
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MPITESTS := mpi_test
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@ -0,0 +1,7 @@
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/*.debhelper.log
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/*.debhelper
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/*.substvars
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/tmp/
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/files
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/libnccl1/
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/libnccl-dev/
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@ -0,0 +1,17 @@
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nccl (1.0.2-2) trusty; urgency=medium
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* Packages are now libnccl1 and libnccl-dev
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-- Luke Yeager <lyeager@nvidia.com> Fri, 18 Dec 2015 13:45:16 -0800
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nccl (1.0.2) trusty; urgency=medium
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* Merged latest upstream changes.
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-- Boris Fomitchev <bfomitchev@nvidia.com> Tue, 15 Dec 2015 14:52:01 -0800
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nccl (1.0.1) trusty; urgency=medium
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* Initial release.
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-- Boris Fomitchev <bfomitchev@nvidia.com> Mon, 14 Dec 2015 09:52:01 -0800
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@ -0,0 +1 @@
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9
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@ -0,0 +1,31 @@
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Source: nccl
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Section: universe/libs
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Maintainer: Boris Fomitchev <bfomitchev@nvidia.com>
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Priority: optional
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Build-depends: debhelper(>=9), cuda-toolkit-7-0,
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cuda-curand-dev-7-0, cuda-cublas-dev-7-0, cuda-cudart-dev-7-0, cuda-ld-conf-7-0
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Standards-Version: 3.9.5
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Package: libnccl1
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Section: universe/libs
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Architecture: amd64
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Depends: ${misc:Depends}, ${shlibs:Depends},
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cuda-curand-7-0, cuda-cublas-7-0, cuda-cudart-7-0, cuda-ld-conf-7-0
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Description: NVIDIA Communication Collectives Library (NCCL) Runtime
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NCCL (pronounced "Nickel") is a stand-alone library of standard collective
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communication routines,such as all-gather, reduce, broadcast, etc., that have
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been optimized to achieve high bandwidth over PCIe. NCCL supports up to eight
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GPUs and can be used in either single- or multi-process (e.g., MPI)
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applications.
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Package: libnccl-dev
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Section: universe/libdevel
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Architecture: amd64
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Depends: ${misc:Depends}, ${shlibs:Depends}, libnccl1 (= ${binary:Version})
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Description: NVIDIA Communication Collectives Library (NCCL) Development Files
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NCCL (pronounced "Nickel") is a stand-alone library of standard collective
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communication routines,such as all-gather, reduce, broadcast, etc., that have
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been optimized to achieve high bandwidth over PCIe. NCCL supports up to eight
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GPUs and can be used in either single- or multi-process (e.g., MPI)
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applications.
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@ -0,0 +1 @@
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../LICENSE.txt
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@ -0,0 +1,2 @@
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include/nccl.h usr/include
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lib/libnccl.so usr/lib
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@ -0,0 +1,2 @@
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lib/libnccl.so.1 usr/lib
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lib/libnccl.so.1.0.2 usr/lib
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@ -0,0 +1,8 @@
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#!/usr/bin/make -f
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%:
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dh $@ --parallel
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override_dh_auto_install:
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PREFIX=debian/tmp dh_auto_install
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@ -0,0 +1 @@
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libcudart 7.0 cuda-cudart-7-0
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@ -0,0 +1 @@
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3.0 (native)
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