RISE 项目：推进 RISC-V 软件.pdf

1、The RISE Project:Advancing RISC-V SoftwareLudovic Henry,RISE TSCNathan Egge,RISE TSCMay 2025Mobilizing Software Ecosystem for GrowthCollaboration&Community EngagementContinuous Software Porting and OptimizationInvesting in the Software StackFundamentals2How:Working Upstream,TransparentlyOpen and Tra

2、nsparent OrganizationCoordinating contributionsBringing open source communities togetherRaise RISC-V platform qualityEnsure RISC-V is tier 1 for tools and librariesAlign Ecosystem partners efforts for adoptionCollaboration:RISE(RISC-V Software Ecosystem)3RISE MembersPremier MembersGeneral MembersAdd

3、itional Information:https:/riseproject.dev/4Coordination and collaboration among the RISE members is across an array of software areas to deliver high quality and high performance implementations for RISC-V software Check out the RISE Wiki:https:/wiki.riseproject.dev/RISE Software Focus Areas5Compil

4、ers&ToolchainsLLVM,GCC,GLIBCSystem LibrariesFFmpeg,OpenBLAS,oneDAL,XNNPACK,oneDNNKernel&VirtualizationLinux,AndroidLanguage RuntimesPython,Java/OpenJDK,Go,JavaScript/V8,WebAssembly,Rust,.NETLinux Distro IntegrationUbuntu,Debian,RedHat,Fedora,Alpine,RockyLinux,AlmaLinux,GentooDebug&Profiling ToolsPer

5、formance Profiles,DynamoRIO,ValgrindSimulators/EmulatorsQEMU,SPIKESystem FirmwareUEFI,U-Boot,Coreboot,TF-MDeveloper InfrastructureBuild Farm,Board Farm,Developer ToolsSecurity SoftwareSecure Root-of-Trust,Confidential ComputeAI/Machine LearningPyTorch,TensorFlow,TFLite,Llama.cppOpen source accelerat

6、es AI development and ensures a transparent RISC-V ecosystemRISE AI/ML Working Group drives collaboration on PyTorch,TensorFlow,TFLite and Llama.cppEnhancing AI software performance strengthens RISC-Vs position as a competitive AI PlatformRecent RFPs Focus on:AI/ML Working GroupOptimization of PyTor