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  • triton third_party amd lib TritonAMDGPUToLLVM DotOpToLLVM WMMA . . . - GitHub
    Development repository for the Triton language and compiler - triton third_party amd lib TritonAMDGPUToLLVM DotOpToLLVM WMMA cpp at main · triton-lang triton
  • AMD Load Store and Memory Operations - DeepWiki
    For AMD-specific shuffle and warp operations, see 5 7 3 Overview AMD memory operations in Triton are lowered through several specialized patterns in the TritonAMDGPUToLLVM conversion pass The implementation handles: Standard loads stores: Pointer-based global memory access with predication and cache modifiers
  • 使用Triton内核优化实现AMD GPU性能突破 - 知乎
    Triton 是 OpenAI 提出的一种专为简化高性能 GPU 内核开发而设计的编程语言，在主流的 LLM推理训练框架 中得到了广泛应用。作为开源项目，用户可以通过开发Python Triton 代码来实现GPU Kernel，无需关心底层的GPU架构细节，大大降低了GPU代码的开发难度，比使用 AMD HIP 或其他GPU编程方式能显著提高产品
  • AMD Load Store Operations | triton-lang Triton-to-tile-IR | DeepWiki
    Sources: third_party amd lib TritonAMDGPUToLLVM LoadStoreOpToLLVM cpp 173-216 third_party amd include Dialect TritonAMDGPU IR TritonAMDGPUOps td 371-414 Vectorization and Contiguity Analysis Vectorization is critical for achieving high memory bandwidth on AMD GPUs The system analyzes access patterns to determine optimal vector widths
  • triton-3. 2. 0-mi50 third_party amd lib TritonAMDGPUToLLVM . . .
    triton-3 2 0-mi50 third_party amd lib TritonAMDGPUToLLVM UpcastMXFPToLLVM cpp at main · zh-nj triton-3 2 0-mi50 · GitHub
  • AMD-Specific Optimizations and Passes | triton-lang triton - DeepWiki
    ConvertWarpPipeline Purpose: Lower warp pipeline operations to conditional barriers and inline execution regions Implementation: third_party amd lib TritonAMDGPUToLLVM ConvertWarpPipeline cpp Behavior: Converts ttag warp_pipeline operations Emits conditional __builtin_amdgcn_s_barrier calls Inlines scf execute_region bodies for warp
  • GitHub - Repeerc triton-amdgpu-windows: Development repository for the . . .
    This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives The aim of Triton is to provide an open-source environment to write fast code at higher productivity than CUDA, but also with higher flexibility than other existing DSLs The foundations of this project are described in the following MAPL2019 publication: Triton
  • GitHub - scottt triton-lshqqytiger: lshqqytigers Triton fork for AMD . . .
    lshqqytiger's Triton fork for AMD GPUs on Windows Contribute to scottt triton-lshqqytiger development by creating an account on GitHub


















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