| /openbsd/src/gnu/llvm/llvm/lib/Target/AMDGPU/ |
| D | R600Subtarget.cpp | 25 R600Subtarget::R600Subtarget(const Triple &TT, StringRef GPU, StringRef FS, in R600Subtarget() argument 27 : R600GenSubtargetInfo(TT, GPU, /*TuneCPU*/ GPU, FS), AMDGPUSubtarget(TT), in R600Subtarget() 30 TLInfo(TM, initializeSubtargetDependencies(TT, GPU, FS)), in R600Subtarget() 31 InstrItins(getInstrItineraryForCPU(GPU)) { in R600Subtarget() 36 StringRef GPU, in initializeSubtargetDependencies() argument 40 ParseSubtargetFeatures(GPU, /*TuneCPU*/ GPU, FullFS); in initializeSubtargetDependencies()
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| D | R600TargetMachine.cpp | 68 StringRef GPU = getGPUName(F); in getSubtargetImpl() local 71 SmallString<128> SubtargetKey(GPU); in getSubtargetImpl() 80 I = std::make_unique<R600Subtarget>(TargetTriple, GPU, FS, *this); in getSubtargetImpl()
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| D | AMDGPUSubtarget.cpp | 65 StringRef GPU, StringRef FS) { in initializeSubtargetDependencies() argument 95 ParseSubtargetFeatures(GPU, /*TuneCPU*/ GPU, FullFS); in initializeSubtargetDependencies() 169 GCNSubtarget::GCNSubtarget(const Triple &TT, StringRef GPU, StringRef FS, in GCNSubtarget() argument 172 AMDGPUGenSubtargetInfo(TT, GPU, /*TuneCPU*/ GPU, FS), in GCNSubtarget() 176 InstrItins(getInstrItineraryForCPU(GPU)), in GCNSubtarget() 177 InstrInfo(initializeSubtargetDependencies(TT, GPU, FS)), in GCNSubtarget()
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| D | AMDGPUFeatures.td | 46 Value#" GPU generation", Implies>;
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| D | R600Subtarget.h | 82 StringRef GPU, StringRef FS);
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| D | AMDGPUTargetMachine.cpp | 516 static StringRef getGPUOrDefault(const Triple &TT, StringRef GPU) { in getGPUOrDefault() argument 517 if (!GPU.empty()) in getGPUOrDefault() 518 return GPU; in getGPUOrDefault() 817 StringRef GPU = getGPUName(F); in getSubtargetImpl() local 820 SmallString<128> SubtargetKey(GPU); in getSubtargetImpl() 829 I = std::make_unique<GCNSubtarget>(TargetTriple, GPU, FS, *this); in getSubtargetImpl()
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| /openbsd/src/gnu/llvm/clang/lib/Basic/Targets/ |
| D | NVPTX.h | 62 CudaArch GPU; variable 79 Features[CudaArchToString(GPU)] = true; in initFeatureMap() 130 GPU = StringToCudaArch(Name); in setCPU() 131 return GPU != CudaArch::UNKNOWN; in setCPU()
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| D | NVPTX.cpp | 62 GPU = CudaArch::SM_20; in NVPTXTargetInfo() 172 switch (GPU) { in getTargetDefines()
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| /openbsd/src/gnu/llvm/llvm/docs/ |
| D | UserGuides.rst | 240 This document describes using the NVPTX backend to compile GPU kernels. 243 This document describes using the AMDGPU backend to compile GPU kernels. 255 This document describes using the SPIR-V target to compile GPU kernels. 258 This document describes using the DirectX target to compile GPU code for the
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| D | CompileCudaWithLLVM.rst | 58 $ 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 [all …]
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| D | NVPTXUsage.rst | 13 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 369 The most common way to execute PTX assembly on a GPU device is to use the CUDA 370 Driver API. This API is a low-level interface to the GPU driver and allows for 371 JIT compilation of PTX code to native GPU machine code. 571 an explicit address space specifier. What is address space 1? NVIDIA GPU 594 program), or a `device` function (callable only from GPU code). You can think 595 of `kernel` functions as entry-points in the GPU program. To mark an LLVM IR 624 a real GPU device? The CUDA Driver API provides a convenient mechanism for 625 loading and JIT compiling PTX to a native GPU device, and launching a kernel. [all …]
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| D | AMDGPUInstructionSyntax.rst | 197 For detailed information about operands, follow *operand links* in GPU-specific documents. 208 may be found in GPU-specific documents.
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| D | Docker.rst | 136 preinstalled CUDA libraries and allows to access a GPU, installed on your 142 If you want to use CUDA libraries and have access to a GPU on your machine, 146 to have an access to GPU from a docker container that is running the built
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| /openbsd/src/gnu/llvm/llvm/docs/AMDGPU/ |
| D | gfx8_vdata_886702.rst | 15 *Size:* depends on GFX8 GPU revision:
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| D | gfx8_vdata_f2bf57.rst | 15 *Size:* depends on GFX8 GPU revision:
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| D | gfx8_vdata_4f639e.rst | 15 *Size:* depends on GFX8 GPU revision:
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| D | gfx8_vdst_6f591e.rst | 15 *Size:* depends on GFX8 GPU revision:
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| D | gfx8_vdst_d809e2.rst | 15 *Size:* depends on GFX8 GPU revision:
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| D | gfx8_vdst_c360a5.rst | 15 *Size:* depends on GFX8 GPU revision:
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| D | gfx8_vdst_b61114.rst | 15 *Size:* depends on GFX8 GPU revision and :ref:`tfe<amdgpu_synid_tfe>`:
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| D | gfx8_vdst_de9309.rst | 15 *Size:* depends on GFX8 GPU revision and :ref:`tfe<amdgpu_synid_tfe>`:
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| D | gfx8_vdst_2d89ba.rst | 15 *Size:* depends on GFX8 GPU revision and :ref:`tfe<amdgpu_synid_tfe>`:
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| /openbsd/src/gnu/llvm/clang/lib/Headers/cuda_wrappers/ |
| D | cmath | 33 // headers to parse, but would not allow accidental use of them on a GPU. 71 // which we can't handle on GPU. We need to forward those to CUDA-provided
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| /openbsd/src/gnu/llvm/clang/docs/ |
| D | ClangOffloadBundler.rst | 159 intermediate steps of the tool chain. Also used for AMD GPU 166 hipv4 Offload code object for the HIP language. Used for AMD GPU 257 *AMD GPU* 258 AMD GPU supports target ID and target features. See `User Guide for AMDGPU Backend
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| /openbsd/src/sys/dev/pci/drm/i915/gt/shaders/ |
| D | README | 21 IGT GPU tool scripts and the Mesa's i965 instruction assembler tool are used
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