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GPU计算生态。","\u003Ch2 id=\"项目概述\">项目概述\u003C\u002Fh2>\u003Cp>ROCm Libraries 是一个超级仓库，汇集了多个 ROCm 相关库和共享组件，用于统一构建、测试和集成 AMD GPU 计算生态。\u003C\u002Fp>\n\u003Ch2 id=\"主要功能\">主要功能\u003C\u002Fh2>\u003Cul>\n\u003Cli>统一构建和测试工作流\u003C\u002Fli>\n\u003Cli>共享工具、CI 和贡献者体验\u003C\u002Fli>\n\u003Cli>改善 ROCm 库团队的集成、可见性和协作\u003C\u002Fli>\n\u003Cli>包含 composablekernel、hipblas、hipfft、rocblas、rocfft、rocsolver、miopen 等众多组件\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"适用人群\">适用人群\u003C\u002Fh2>\u003Cul>\n\u003Cli>使用 AMD GPU 进行高性能计算的开发者\u003C\u002Fli>\n\u003Cli>ROCm 生态系统的贡献者和维护者\u003C\u002Fli>\n\u003Cli>机器学习和科学计算工程师\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"快速上手\">快速上手\u003C\u002Fh2>\u003Cul>\n\u003Cli>参考 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FROCm\u002Frocm-libraries\u002Fblob\u002Fdevelop\u002FCONTRIBUTING.md\" target=\"_blank\" rel=\"noopener noreferrer\">CONTRIBUTING.md\u003C\u002Fa> 了解贡献指南\u003C\u002Fli>\n\u003Cli>通过 \u003Ccode>projects\u002F\u003C\u002Fcode> 目录下的各个组件进行开发和集成\u003C\u002Fli>\n\u003Cli>每个子项目保留其原始许可证\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"核心优势\">核心优势\u003C\u002Fh2>\u003Cul>\n\u003Cli>统一管理 ROCm 生态库\u003C\u002Fli>\n\u003Cli>简化开发和 CI 流程\u003C\u002Fli>\n\u003Cli>提升团队协作效率\u003C\u002Fli>\n\u003Cli>开源免费（各子项目保留原始许可证）\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2 id=\"系统要求\">系统要求\u003C\u002Fh2>\u003Cul>\n\u003Cli>操作系统：Linux（ROCm 主要支持平台）\u003C\u002Fli>\n\u003C\u002Ful>\n",1790699404509]