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Searched refs:GPU (Results 1 – 25 of 132) sorted by relevance

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/netbsd-src/external/apache2/llvm/dist/llvm/lib/Target/AMDGPU/
H A DAMDGPUSubtarget.cpp69 StringRef GPU, StringRef FS) { in initializeSubtargetDependencies() argument
72 ParseSubtargetFeatures(GPU, /*TuneCPU*/ GPU, FullFS); in initializeSubtargetDependencies()
82 StringRef GPU, StringRef FS) { in initializeSubtargetDependencies() argument
112 ParseSubtargetFeatures(GPU, /*TuneCPU*/ GPU, FullFS); in initializeSubtargetDependencies()
197 GCNSubtarget::GCNSubtarget(const Triple &TT, StringRef GPU, StringRef FS, in GCNSubtarget() argument
200 AMDGPUGenSubtargetInfo(TT, GPU, /*TuneCPU*/ GPU, FS), in GCNSubtarget()
205 InstrItins(getInstrItineraryForCPU(GPU)), in GCNSubtarget()
317 InstrInfo(initializeSubtargetDependencies(TT, GPU, FS)), in GCNSubtarget()
621 R600Subtarget::R600Subtarget(const Triple &TT, StringRef GPU, StringRef FS, in R600Subtarget() argument
623 R600GenSubtargetInfo(TT, GPU, /*TuneCPU*/GPU, FS), in R600Subtarget()
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H A DAMDGPUTargetMachine.cpp356 static StringRef getGPUOrDefault(const Triple &TT, StringRef GPU) { in getGPUOrDefault() argument
357 if (!GPU.empty()) in getGPUOrDefault()
358 return GPU; in getGPUOrDefault()
636 StringRef GPU = getGPUName(F); in getSubtargetImpl() local
639 SmallString<128> SubtargetKey(GPU); in getSubtargetImpl()
648 I = std::make_unique<R600Subtarget>(TargetTriple, GPU, FS, *this); in getSubtargetImpl()
705 StringRef GPU = getGPUName(F); in getSubtargetImpl() local
708 SmallString<128> SubtargetKey(GPU); in getSubtargetImpl()
717 I = std::make_unique<GCNSubtarget>(TargetTriple, GPU, FS, *this); in getSubtargetImpl()
/netbsd-src/external/apache2/llvm/dist/clang/lib/Basic/Targets/
H A DNVPTX.h61 CudaArch GPU; variable
78 Features[CudaArchToString(GPU)] = true; in initFeatureMap()
129 GPU = StringToCudaArch(Name); in setCPU()
130 return GPU != CudaArch::UNKNOWN; in setCPU()
H A DNVPTX.cpp74 GPU = CudaArch::SM_20; in NVPTXTargetInfo()
184 switch (GPU) { in getTargetDefines()
/netbsd-src/sys/external/gpl2/dts/dist/arch/arm/boot/dts/
H A Drk3288-veyron-mickey.dts86 * and don't let the GPU go faster than 400 MHz.
103 * the CPU and the GPU.
139 /* At very hot, don't let GPU go over 300 MHz */
180 /* After 1st level throttle the GPU down to as low as 400 MHz */
187 * Slightly after we throttle the GPU, we'll also make sure that
189 * throttle the CPU lower than 1.4 GHz due to GPU heat--we'll
200 /* When hot, GPU goes down to 300 MHz */
206 /* When really hot, don't let GPU go _above_ 300 MHz */
/netbsd-src/sys/external/gpl2/dts/dist/arch/arm64/boot/dts/qcom/
H A Dmsm8996-v3.0.dtsi13 * This revision seems to have differ GPU CPR
14 * parameters, GPU frequencies and some differences
16 * the GPU. Funnily enough, it's simpler to make it an
/netbsd-src/external/gpl3/gcc.old/dist/gcc/config/gcn/
H A Dgcn.opt26 GCN GPU type to use:
39 Specify the name of the target GPU.
43 Specify the name of the target GPU.
55 Enable OpenMP GPU offloading.
/netbsd-src/external/gpl3/gcc/dist/gcc/config/gcn/
H A Dgcn.opt26 GCN GPU type to use:
42 Specify the name of the target GPU.
46 Specify the name of the target GPU.
58 Enable OpenMP GPU offloading.
/netbsd-src/sys/external/bsd/drm2/dist/drm/amd/amdkfd/
H A DKconfig7 bool "HSA kernel driver for AMD GPU devices"
12 Enable this if you want to use HSA features on AMD GPU devices.
/netbsd-src/sys/external/bsd/drm2/dist/drm/virtio/
H A DKconfig3 tristate "Virtio GPU driver"
8 This is the virtual GPU driver for virtio. It can be used with
/netbsd-src/sys/external/bsd/drm2/dist/drm/qxl/
H A DKconfig3 tristate "QXL virtual GPU"
10 QXL virtual GPU for Spice virtualization desktop integration.
/netbsd-src/external/apache2/llvm/dist/clang/tools/amdgpu-arch/
H A DAMDGPUArch.cpp68 for (const auto &GPU : GPUs) in main() local
69 printf("%s\n", GPU.c_str()); in main()
/netbsd-src/sys/external/bsd/drm2/dist/drm/i915/
H A DKconfig.profile20 check the health of the GPU and undertake regular house-keeping of
23 May be 0 to disable heartbeats and therefore disable automatic GPU
42 Before sleeping waiting for a request (GPU operation) to complete,
57 the GPU, we allow the innocent contexts also on the system to quiesce.
H A DKconfig72 bool "Enable capturing GPU state following a hang"
76 This option enables capturing the GPU state when a hang is detected.
84 bool "Compress GPU error state"
90 selected and causes any error state captured upon a GPU hang
/netbsd-src/external/apache2/llvm/dist/llvm/lib/Support/
H A DTargetParser.cpp187 AMDGPU::IsaVersion AMDGPU::getIsaVersion(StringRef GPU) { in getIsaVersion() argument
188 AMDGPU::GPUKind AK = parseArchAMDGCN(GPU); in getIsaVersion()
190 if (GPU == "generic-hsa") in getIsaVersion()
192 if (GPU == "generic") in getIsaVersion()
/netbsd-src/external/apache2/llvm/dist/llvm/docs/
H A DCompileCudaWithLLVM.rst58 $ clang++ axpy.cu -o axpy --cuda-gpu-arch=<GPU arch> \
81 * ``<GPU arch>`` -- the `compute capability
82 <https://developer.nvidia.com/cuda-gpus>`_ of your GPU. For example, if you
83 want to run your program on a GPU with compute capability of 3.5, specify
101 GPU hardware allows for more control over numerical operations than most CPUs,
242 * For each GPU architecture ``arch`` that we're compiling for, do:
248 ``S_arch``, containing GPU machine code (SASS) for ``arch``.
262 * For each GPU architecture ``arch`` that we're compiling for, do:
288 host compilation and during device compilation for each GPU architecture.)
503 on a CPU isn't necessarily fast on a GPU. We've made a number of changes to
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H A DNVPTXUsage.rst13 To support GPU programming, the NVPTX back-end supports a subset of LLVM IR
14 along with a defined set of conventions used to represent GPU programming
367 The most common way to execute PTX assembly on a GPU device is to use the CUDA
368 Driver API. This API is a low-level interface to the GPU driver and allows for
369 JIT compilation of PTX code to native GPU machine code.
569 an explicit address space specifier. What is address space 1? NVIDIA GPU
592 program), or a `device` function (callable only from GPU code). You can think
593 of `kernel` functions as entry-points in the GPU program. To mark an LLVM IR
622 a real GPU device? The CUDA Driver API provides a convenient mechanism for
623 loading and JIT compiling PTX to a native GPU device, and launching a kernel.
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/netbsd-src/external/apache2/llvm/dist/llvm/docs/AMDGPU/
H A Dgfx8_data_buf_d16_96.rst15 *Size:* depends on GFX8 GPU revision:
H A Dgfx8_data_buf_d16_64.rst15 *Size:* depends on GFX8 GPU revision:
H A Dgfx8_data_buf_d16_128.rst15 *Size:* depends on GFX8 GPU revision:
H A Dgfx8_dst_buf_d16_96.rst15 *Size:* depends on GFX8 GPU revision and :ref:`tfe<amdgpu_synid_tfe>`:
H A Dgfx8_dst_buf_d16_128.rst15 *Size:* depends on GFX8 GPU revision and :ref:`tfe<amdgpu_synid_tfe>`:
H A Dgfx8_dst_buf_d16_64.rst15 *Size:* depends on GFX8 GPU revision and :ref:`tfe<amdgpu_synid_tfe>`:
/netbsd-src/external/apache2/llvm/dist/clang/docs/
H A DClangOffloadBundler.rst106 intermediate steps of the tool chain. Also used for AMD GPU
113 hipv4 Offload code object for the HIP language. Used for AMD GPU
204 *AMD GPU*
205 AMD GPU supports target ID and target features. See `User Guide for AMDGPU Backend
/netbsd-src/sys/external/bsd/drm2/dist/drm/ast/
H A DKconfig10 Say yes for experimental AST GPU driver. Do not enable

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