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CUDA optimization knowledge is translated into architecture‑native MLX strategies rather than copying instruction‑for‑instruction K-Search optimizes CUDA kernels by using existing CUDA kernel knowledge as a starting point NVIDIA uses the CUDA platform for preprocessing and embedding generation in its GPU‑accelerated search pipeline Infineon uses Synopsys software Infineon uses Sentaurus Device Infineon uses NVIDIA CUDA libraries (NVIDIA CUDA‑X)· Graphiti 生成的实体摘要

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7关系
CURRENT
7当前有效
EVENTS
3相关事件
REPORTS
4来源报道
KNOWLEDGE ATLAS0 个实体 · 0 条关系
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关系变化

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  1. CUDAUSESNVIDIA CUDA-X libraries

    Infineon uses NVIDIA CUDA libraries (NVIDIA CUDA‑X)

    当前有效1 条来源NVIDIA CUDA-X libraries
  2. CUDAUSESNVIDIA Cosmos

    Infineon uses Synopsys software

    当前有效1 条来源NVIDIA Cosmos
  3. CUDAUSESNVIDIA Cosmos

    Infineon uses Sentaurus Device

    当前有效1 条来源NVIDIA Cosmos
  4. NVIDIAUSESCUDA

    NVIDIA uses the CUDA platform for preprocessing and embedding generation in its GPU‑accelerated search pipeline

    当前有效1 条来源NVIDIA
  5. RTX SparkDELIVERSCUDA

    NVIDIA RTX Spark delivers CUDA technologies.

    当前有效1 条来源RTX Spark
  6. K-SearchOPTIMIZESCUDA

    K-Search optimizes CUDA kernels by using existing CUDA kernel knowledge as a starting point

    当前有效1 条来源K-Search
  7. CUDATRANSLATES TOMLX

    CUDA optimization knowledge is translated into architecture‑native MLX strategies rather than copying instruction‑for‑instruction

    当前有效1 条来源MLX

关系是 Graphiti 从报道中提取的事实陈述,不是原文引述;失效时间表示后来的报道显示这条关系已不成立。