diff options
author | Brecht Van Lommel <brechtvanlommel@gmail.com> | 2014-04-30 12:54:17 +0400 |
---|---|---|
committer | Brecht Van Lommel <brechtvanlommel@gmail.com> | 2014-04-30 18:07:27 +0400 |
commit | 741f17f05b8272abfaf000a403e44b73692ba4c7 (patch) | |
tree | dafcf851ca51b51b56e947bfb3879d224381cd6d | |
parent | 4d1a109ddec02ad7e527d8b65a5cdc8d4a7528a9 (diff) |
Cycles CUDA: make CUDA toolkit 6.0 the official supported version.
This also updates the configurations to build kernels for compute capability
5.0 cards, when using and older CUDA toolkit version this will be skipped.
Also includes tweaks to improve performance with this version:
* Increase max registers on sm_30, sm_35 and sm_50
* No longer use texture storage on sm_30
-rw-r--r-- | CMakeLists.txt | 2 | ||||
-rw-r--r-- | build_files/buildbot/config/user-config-cuda-glibc211-i686.py | 2 | ||||
-rw-r--r-- | build_files/buildbot/config/user-config-cuda-glibc211-x86_64.py | 2 | ||||
-rw-r--r-- | build_files/scons/config/darwin-config.py | 2 | ||||
-rw-r--r-- | build_files/scons/config/linux-config.py | 2 | ||||
-rw-r--r-- | build_files/scons/config/win32-mingw-config.py | 4 | ||||
-rw-r--r-- | build_files/scons/config/win32-vc-config.py | 2 | ||||
-rw-r--r-- | build_files/scons/config/win64-mingw-config.py | 2 | ||||
-rw-r--r-- | build_files/scons/config/win64-vc-config.py | 2 | ||||
-rw-r--r-- | intern/cycles/device/device_cuda.cpp | 2 | ||||
-rw-r--r-- | intern/cycles/kernel/CMakeLists.txt | 10 | ||||
-rw-r--r-- | intern/cycles/kernel/SConscript | 8 | ||||
-rw-r--r-- | intern/cycles/kernel/kernel.cu | 8 | ||||
-rw-r--r-- | intern/cycles/kernel/kernel_compat_cuda.h | 2 |
14 files changed, 28 insertions, 22 deletions
diff --git a/CMakeLists.txt b/CMakeLists.txt index cb104149d33..53dcb0ce4ad 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -264,7 +264,7 @@ option(WITH_CYCLES_STANDALONE "Build cycles standalone application" OFF) option(WITH_CYCLES_STANDALONE_GUI "Build cycles standalone with GUI" OFF) option(WITH_CYCLES_OSL "Build Cycles with OSL support" OFF) option(WITH_CYCLES_CUDA_BINARIES "Build cycles CUDA binaries" OFF) -set(CYCLES_CUDA_BINARIES_ARCH sm_20 sm_21 sm_30 sm_35 CACHE STRING "CUDA architectures to build binaries for") +set(CYCLES_CUDA_BINARIES_ARCH sm_20 sm_21 sm_30 sm_35 sm_50 CACHE STRING "CUDA architectures to build binaries for") mark_as_advanced(CYCLES_CUDA_BINARIES_ARCH) unset(PLATFORM_DEFAULT) diff --git a/build_files/buildbot/config/user-config-cuda-glibc211-i686.py b/build_files/buildbot/config/user-config-cuda-glibc211-i686.py index 69053d7ff39..854f535398b 100644 --- a/build_files/buildbot/config/user-config-cuda-glibc211-i686.py +++ b/build_files/buildbot/config/user-config-cuda-glibc211-i686.py @@ -2,4 +2,4 @@ BF_BUILDDIR = '../blender-build/linux-glibc211-i686' BF_INSTALLDIR = '../blender-install/linux-glibc211-i686' BF_NUMJOBS = 1 -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] diff --git a/build_files/buildbot/config/user-config-cuda-glibc211-x86_64.py b/build_files/buildbot/config/user-config-cuda-glibc211-x86_64.py index c9b765f55ac..7e928948762 100644 --- a/build_files/buildbot/config/user-config-cuda-glibc211-x86_64.py +++ b/build_files/buildbot/config/user-config-cuda-glibc211-x86_64.py @@ -2,4 +2,4 @@ BF_BUILDDIR = '../blender-build/linux-glibc211-x86_64' BF_INSTALLDIR = '../blender-install/linux-glibc211-x86_64' BF_NUMJOBS = 1 -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] diff --git a/build_files/scons/config/darwin-config.py b/build_files/scons/config/darwin-config.py index 2f77c6be6e9..aac7ed4fa04 100644 --- a/build_files/scons/config/darwin-config.py +++ b/build_files/scons/config/darwin-config.py @@ -199,7 +199,7 @@ BF_BOOST_LIBPATH = '${BF_BOOST}/lib' WITH_BF_CYCLES_CUDA_BINARIES = False BF_CYCLES_CUDA_NVCC = '/usr/local/cuda/bin/nvcc' -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] #Freestyle WITH_BF_FREESTYLE = True diff --git a/build_files/scons/config/linux-config.py b/build_files/scons/config/linux-config.py index ce2d07f782c..8f2c5ca30f4 100644 --- a/build_files/scons/config/linux-config.py +++ b/build_files/scons/config/linux-config.py @@ -206,7 +206,7 @@ WITH_BF_CYCLES = WITH_BF_OIIO and WITH_BF_BOOST WITH_BF_CYCLES_CUDA_BINARIES = False BF_CYCLES_CUDA_NVCC = '/usr/local/cuda/bin/nvcc' -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] WITH_BF_OPENMP = True diff --git a/build_files/scons/config/win32-mingw-config.py b/build_files/scons/config/win32-mingw-config.py index 3a5a02fb385..a6d1a7d7996 100644 --- a/build_files/scons/config/win32-mingw-config.py +++ b/build_files/scons/config/win32-mingw-config.py @@ -145,7 +145,7 @@ BF_OPENCOLLADA_LIBPATH = '${BF_OPENCOLLADA}/lib/opencollada' WITH_BF_CYCLES = True WITH_BF_CYCLES_CUDA_BINARIES = False BF_CYCLES_CUDA_NVCC = "" # Path to the NVIDIA CUDA compiler -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] WITH_BF_OIIO = True BF_OIIO = LIBDIR + '/openimageio' @@ -175,7 +175,7 @@ WITH_BF_OPENMP = True #CUDA WITH_BF_CYCLES_CUDA_BINARIES = False #BF_CYCLES_CUDA_NVCC = "" # Path to the nvidia compiler -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] #Freestyle WITH_BF_FREESTYLE = True diff --git a/build_files/scons/config/win32-vc-config.py b/build_files/scons/config/win32-vc-config.py index bb9bcc310ab..16b105d188d 100644 --- a/build_files/scons/config/win32-vc-config.py +++ b/build_files/scons/config/win32-vc-config.py @@ -226,7 +226,7 @@ WITH_BF_CYCLES_CUDA_BINARIES = False if VC_VERSION == '11.0': BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30'] else: - BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] + BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] #Ray trace optimization WITH_BF_RAYOPTIMIZATION = True diff --git a/build_files/scons/config/win64-mingw-config.py b/build_files/scons/config/win64-mingw-config.py index 6efbf5b7197..dcdea6583d7 100644 --- a/build_files/scons/config/win64-mingw-config.py +++ b/build_files/scons/config/win64-mingw-config.py @@ -144,7 +144,7 @@ BF_OPENCOLLADA_LIBPATH = '${BF_OPENCOLLADA}/lib/opencollada' WITH_BF_CYCLES = True WITH_BF_CYCLES_CUDA_BINARIES = False BF_CYCLES_CUDA_NVCC = "" # Path to the NVIDIA CUDA compiler -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] WITH_BF_OIIO = True BF_OIIO = LIBDIR + '/openimageio' diff --git a/build_files/scons/config/win64-vc-config.py b/build_files/scons/config/win64-vc-config.py index 9c32972572c..3ec284ed34a 100644 --- a/build_files/scons/config/win64-vc-config.py +++ b/build_files/scons/config/win64-vc-config.py @@ -224,7 +224,7 @@ BF_BOOST_LIBPATH = '${BF_BOOST}/lib' #CUDA WITH_BF_CYCLES_CUDA_BINARIES = False #BF_CYCLES_CUDA_NVCC = "" # Path to the nvidia compiler -BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35'] +BF_CYCLES_CUDA_BINARIES_ARCH = ['sm_20', 'sm_21', 'sm_30', 'sm_35', 'sm_50'] #Ray trace optimization WITH_BF_RAYOPTIMIZATION = True diff --git a/intern/cycles/device/device_cuda.cpp b/intern/cycles/device/device_cuda.cpp index 0d2f6cdfe19..72453e83864 100644 --- a/intern/cycles/device/device_cuda.cpp +++ b/intern/cycles/device/device_cuda.cpp @@ -222,7 +222,7 @@ public: /* In order to use full 6GB of memory on Titan cards, use arrays instead * of textures. On earlier cards this seems slower, but on Titan it is * actually slightly faster in tests. */ - use_texture_storage = (cuDevArchitecture < 350); + use_texture_storage = (cuDevArchitecture < 300); cuda_pop_context(); } diff --git a/intern/cycles/kernel/CMakeLists.txt b/intern/cycles/kernel/CMakeLists.txt index 1527d154c86..d18f4fa2998 100644 --- a/intern/cycles/kernel/CMakeLists.txt +++ b/intern/cycles/kernel/CMakeLists.txt @@ -146,11 +146,11 @@ if(WITH_CYCLES_CUDA_BINARIES) set(CUDA_VERSION "${CUDA_VERSION_MAJOR}${CUDA_VERSION_MINOR}") # warn for other versions - if(CUDA_VERSION MATCHES "50") + if(CUDA_VERSION MATCHES "60") else() message(WARNING "CUDA version ${CUDA_VERSION_MAJOR}.${CUDA_VERSION_MINOR} detected, " - "build may succeed but only CUDA 5.0 is officially supported") + "build may succeed but only CUDA 6.0 is officially supported") endif() # build for each arch @@ -162,8 +162,10 @@ if(WITH_CYCLES_CUDA_BINARIES) set(cuda_version_flags "-D__KERNEL_CUDA_VERSION__=${CUDA_VERSION}") set(cuda_math_flags "--use_fast_math") - - if(CUDA_VERSION LESS 50 AND ${arch} MATCHES "sm_35") + + if(CUDA_VERSION LESS 60 AND ${arch} MATCHES "sm_50") + message(WARNING "Can't build kernel for CUDA sm_50 architecture, skipping") + elseif(CUDA_VERSION LESS 50 AND ${arch} MATCHES "sm_35") message(WARNING "Can't build kernel for CUDA sm_35 architecture, skipping") else() add_custom_command( diff --git a/intern/cycles/kernel/SConscript b/intern/cycles/kernel/SConscript index 5316ec9926b..04e1bad7538 100644 --- a/intern/cycles/kernel/SConscript +++ b/intern/cycles/kernel/SConscript @@ -69,8 +69,8 @@ if env['WITH_BF_CYCLES_CUDA_BINARIES']: cuda_major_minor = re.findall(r'release (\d+).(\d+)', output)[0] cuda_version = int(cuda_major_minor[0])*10 + int(cuda_major_minor[1]) - if cuda_version != 50: - print("CUDA version %d.%d detected, build may succeed but only CUDA 5.0 is officially supported." % (cuda_version/10, cuda_version%10)) + if cuda_version != 60: + print("CUDA version %d.%d detected, build may succeed but only CUDA 6.0 is officially supported." % (cuda_version/10, cuda_version%10)) # nvcc flags nvcc_flags = "-m%s" % (bits) @@ -85,6 +85,10 @@ if env['WITH_BF_CYCLES_CUDA_BINARIES']: # add command for each cuda architecture for arch in cuda_archs: + if cuda_version < 60 and arch == "sm_50": + print("Can't build kernel for CUDA sm_50 architecture, skipping") + continue + cubin_file = os.path.join(build_dir, "kernel_%s.cubin" % arch) if env['BF_CYCLES_CUDA_ENV']: diff --git a/intern/cycles/kernel/kernel.cu b/intern/cycles/kernel/kernel.cu index d91c6d97123..636e48b5456 100644 --- a/intern/cycles/kernel/kernel.cu +++ b/intern/cycles/kernel/kernel.cu @@ -49,8 +49,8 @@ /* tunable parameters */ #define CUDA_THREADS_BLOCK_WIDTH 16 -#define CUDA_KERNEL_MAX_REGISTERS 32 -#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 40 +#define CUDA_KERNEL_MAX_REGISTERS 63 +#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 63 /* 5.0 */ #elif __CUDA_ARCH__ == 500 @@ -61,8 +61,8 @@ /* tunable parameters */ #define CUDA_THREADS_BLOCK_WIDTH 16 -#define CUDA_KERNEL_MAX_REGISTERS 32 -#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 40 +#define CUDA_KERNEL_MAX_REGISTERS 63 +#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 63 /* unknown architecture */ #else diff --git a/intern/cycles/kernel/kernel_compat_cuda.h b/intern/cycles/kernel/kernel_compat_cuda.h index 15e7353ec38..e4c20d26ff1 100644 --- a/intern/cycles/kernel/kernel_compat_cuda.h +++ b/intern/cycles/kernel/kernel_compat_cuda.h @@ -60,7 +60,7 @@ typedef texture<uchar4, 2, cudaReadModeNormalizedFloat> texture_image_uchar4; /* In order to use full 6GB of memory on Titan cards, use arrays instead * of textures. On earlier cards this seems slower, but on Titan it is * actually slightly faster in tests. */ -#if __CUDA_ARCH__ < 350 +#if __CUDA_ARCH__ < 300 #define __KERNEL_CUDA_TEX_STORAGE__ #endif |