2023龍蜥操作系統(tǒng)大會(huì)全面進(jìn)化 一云多芯分論壇

2023龍蜥操作系統(tǒng)大會(huì)全面進(jìn)化多元共生：龍蜥邁向多芯世界玄鐵RISC-V&龍蜥社區(qū)李春強(qiáng)資深技術(shù)專家阿里巴巴達(dá)摩院RISC-V及生態(tài)安卓首次官方宣布支持RISC-VRISC安卓首次官方宣布支持RISC-VRISC-V進(jìn)入數(shù)據(jù)中心推理應(yīng)用新階段標(biāo)志著RISC-V開(kāi)始進(jìn)入服務(wù)器領(lǐng)域RISC-V首次適配生成式AI大模型全球RISC-V高性能領(lǐng)域生態(tài)大事記正式為正式為RISC-V進(jìn)入車載領(lǐng)域拉開(kāi)帷幕項(xiàng)項(xiàng)國(guó)際基金會(huì)標(biāo)準(zhǔn)制定的最新進(jìn)展InitialInitialsetofunprivilegedBitmanipulationCache-blockmanagementoperationsSvpbmt,Sv57Misalignedload/storeupdatesAI/MLunitsand$291BinAutomotive2025HighPerformanceComputingSignificantinvestmentsinmultiplegeographiesDataCenter&CloudRISC-V未來(lái)5年賽道從模糊變得清晰TelecomTelecom&Communications軟件成為RISC-V生態(tài)發(fā)展的關(guān)鍵路徑9大調(diào)試和性能測(cè)試工具阿里玄鐵RISC-V生態(tài)引領(lǐng)者安全安全性能成本計(jì)算增強(qiáng)能效人機(jī)交互、語(yǔ)音、視覺(jué)K無(wú)劍300、無(wú)劍600玄鐵9XX不斷豐富的玄鐵芯片生態(tài)不斷豐富的玄鐵芯片生態(tài)持續(xù)構(gòu)建基礎(chǔ)軟件生態(tài)積極拓展應(yīng)用伙伴生態(tài)OpenJDKNCNNJavaScript OS/軟件平臺(tái)YoC人機(jī)交互平臺(tái)應(yīng)用AIoT云服務(wù)HaasEA服務(wù)商有道youdaoYoC視覺(jué)平臺(tái)TEE安全框架Haiet厚重的軟件和全棧是走向復(fù)雜生態(tài)系統(tǒng)的必經(jīng)途徑豐富的豐富的OS生態(tài)RV兼容性測(cè)試OS基座：內(nèi)核&硬件抽象+基礎(chǔ)組件RTOS、Linux、圖形、存儲(chǔ)、JVM、JS、Docker…玄鐵RISC-V：C906、C907、C908、C910…視頻視覺(jué)應(yīng)用框架TEEOS、KP、鑒權(quán)…編譯、診斷、模擬器AI部署工具智能語(yǔ)音應(yīng)用平臺(tái)聚焦處理器基礎(chǔ)軟件套件推動(dòng)玄鐵RISC-V不斷融入主流OS生態(tài)玄鐵RISC-V+Android帶來(lái)無(wú)限想象空間用可商業(yè)化交付的玄鐵RISC-V安卓SDK控制命令分類檢測(cè)結(jié)構(gòu)化數(shù)據(jù)視頻輸入編譯部署工具cxVision視頻視覺(jué)pipeline引擎功能性能診斷工具彈性算力抽象庫(kù)OpenCV、CSI-NNTMedia控制命令分類檢測(cè)結(jié)構(gòu)化數(shù)據(jù)視頻輸入編譯部署工具cxVision視頻視覺(jué)pipeline引擎功能性能診斷工具彈性算力抽象庫(kù)OpenCV、CSI-NNTMedia媒體庫(kù)編解碼、變換、傳輸玄鐵RISC-VAI彈性算力（Scalar/Vector/Matrix等計(jì)算能力）端側(cè)人工智能全棧準(zhǔn)備就緒玄鐵多媒體AI軟硬件融合平臺(tái)大屏交互類產(chǎn)品完成打樣突破RISC-V在智能大屏WebOS及核心應(yīng)用的關(guān)鍵技術(shù)以玄鐵CPU為核心，多IP協(xié)同優(yōu)化能力 玄鐵RISC-V&OpenAnolis生態(tài)融合操作系統(tǒng)支持曳影編譯和語(yǔ)言Dragonwell),Python,Node.js等語(yǔ)言環(huán)境桌面應(yīng)用協(xié)同統(tǒng)信深度社區(qū)完善桌面數(shù)據(jù)來(lái)源：龍蜥社區(qū)社區(qū)應(yīng)用統(tǒng)信桌面芯片平臺(tái)RISC-VUOS桌面deepinPLCT、Fedora持續(xù)推進(jìn)玄鐵RISC-VOpenAnolis關(guān)鍵應(yīng)用生態(tài)DynamicDynamicftrace/CrashUtilisKdump/Kprobe/UprobeEBPFtoolsAddress/MemorySanitizerConcurrencySanitizerKFENCE,KGDB/KDB豐富的診斷工具系統(tǒng)編程語(yǔ)言NoSQL數(shù)據(jù)庫(kù)關(guān)系型數(shù)據(jù)庫(kù)Arm助力龍蜥倚天生態(tài)提供更優(yōu)云上選擇別再平安謀科技（ArmChina）高級(jí)軟件經(jīng)理RunsonArmAutomotiveAIAutonomous&SafetyArmCPUArchitectureprocessorMicro-architecture:processora?WhichoptionalfeTimerAuthAArch32AtomicsAArch64TimerAuthAArch32AtomicsAArch64CPUArchitecture:AnnualCadenceEvolvingArmv8.0-AArmv8.1-AArmv8.2-AArmv8.3-AArmv8.4-AArmv8.5-AArmv9.0-AArmv8.6-AArmv9.1-A.Area.Throughput..Area.Throughput.ThreadCountArmNeoversePlatformPPADesignPrinciples..V-Series:MaximumPerformance.WindowsPipelinestructuredandprovisionedtopushIPC–WIDERandDEEPERFloating-point.Vector/ScalarCache..N-Series:ScaleOutPerformance.ScalabilityFloating-point.Vector/ScalarCache.E-Series:EfficientThroughputVVRapidPaceofInnovationV2V1VOptimalTCO V-NNThroughputefficiency--AlibabaCustomSilicon-PoweredbyArmNeoverseBornforCloud–Alibaba’s1stGeneralPurposeChip●Armv9Architecture●128ArmNeoverse?Cores●DDR5andPCIE5.0supported●EnablingArm-basedAlibabaCloudInstances2●G8yInstances(Gene3ralPurpose)●C8yInstances(ComputeOptimized)●R8yInstances(MemoryOptimized)●TargetedforAI,HPC,BigData,andmanyothercloudworkloadsAlibabaYITIAN710AlibabaCloudECSG8YInstancesBestPricePerformance+Cost-effectiveness100%highervsseventh+Performanceupto40%higherthancomparablex86-basedinstancesLow-Carbonefficiencybenchmark:reducefootprintRobustSoftwareEcosystemOSsupport:Anolis3,AlibabaCloudLinux3,andothersContainerservices:AlibabaCloudContainerSource:AlibabaCloudECSG8yWebpageN2PerformanceData-CloudInstance(Yitian710)Armvalue-addComparingperformanceofECSG8Y(AlibabaYitian710based)versusG7instances(x86)Fordetailsvisit/arm-community-blogs/b/infrastructure-solutions-blogSoftwareDAYONEBRINGUPEarlysupportforArmDEVELOPERTOOLINGDevelopertoolsforperformanceanalysisandcompilationFunctionalityandperformancecontributionsOPEN-OPEN-SOURCELEADERSHIPcomponentsforthegoodofthewholeArmecosystemTelemetryDistrosDistrosReferenceStacksandReferenceStacksandModelsCloudLanguagesContainersMachineLearningStorageandStorageandDataArmRANZArmRANZX264/x265NetworkingOptimizedLibrariesandWorkloadsmwareWNDRVRArmSolutions…synopsysActionsetcd□LFEDGEelastcsearchAlmaLinuxALTIOSTARmwareWNDRVRArmSolutions…synopsysActionsetcd□LFEDGEelastcsearchAlmaLinuxALTIOSTARCommercialSupportSIEMENSArmSupportsOpenAnolisArmbelievesinavibrantopensourceecosystem&openinnovationplatformsArmMeetupstofosterlearnings&collaboration/o0sTzQjEnablingCloud-NativeConfidentialComputingandCommercialCryptography/confidentialComputingArmSoftwareLibraries+Armmathlibrarieswithbest-in-classperformance+FinetunedforArmNeoversefamilyofprocessors+ValidatedbyArmEngineersandsupportedbycommunity+DeliverssuperiorMLperformance+Over100machinelearningfunctionsforCPU&GPU+Micro-architectureoptimizationforkeyMLprimitivesAvailableatArmPerformanceLibrariesOptimizedBLAS,LAPACKandFFTforHPCapplicationsArmprovided64-bitArmv8-Amathlibraries●OptimizedBLAS,LAPACK,FFTandmath.hroutines●FFTWcompatibleinterfaceforFFTroutines●SparselinearalgebraandbatchedBLASsupportBest-in-classserialandparallelperformance●GenericArmv8-AoptimizationsbyArm●TunedforArmNeoversefamilyofprocessorsValidatedbyArmEngineers●ValidatedwithNAG’stestsuite,ade-factostandard●CommunitysupportedArmPerformanceLibrariesinOpenAnolisSuccessfullyinstalledapplicationstest.nextversion.OpenAnolis.CollaborateonAPLoptimization.PaddlePaddleXLA/MLIRLibraries/BackendsCustom+SMMUI/OBrPaddlePaddleXLA/MLIRLibraries/BackendsCustom+SMMUI/OBridgeMachineLearningonArmNeoverseFrameworks/ArmComputeLibrary(ACL)(viaoneDNNinsomecases)NeoverseAcceleratedNeoverseAcceleratedComputeOpenSourceAcceleratorVendorNVIDIAArm龍芯中科Java虛擬機(jī)團(tuán)隊(duì)負(fù)責(zé)人01LoongArch上的Java介紹02龍蜥適配歷程龍蜥支持情況下一步計(jì)劃龍芯?/zh/api/java?/loongson：jdk，jdk17u,jdk11u,jdk8ujava-1.8.0-openjdk/a8java-1.8.0-openjdk-portable/a8java-1.8.0-openjdk/a23java-11-openjdk/a8java-11-openjdk-portable/a8java-11-openjdk/a23java-17-openjdk/a8java-17-openjdk-portable/a8java-17-openjdk/a23云原生助力全鏈路信息化創(chuàng)新以一云多芯與主流操作系統(tǒng)為基礎(chǔ)實(shí)現(xiàn)云原生的創(chuàng)新突破徐運(yùn)元諧云副總裁01容器云底座關(guān)于諧云管理平臺(tái)關(guān)于諧云管理平臺(tái)管理模塊,是實(shí)現(xiàn)云原生架構(gòu)的必要條字化時(shí)代獲得持續(xù)的競(jìng)爭(zhēng)優(yōu)勢(shì)。全解耦底層基礎(chǔ)設(shè)施，為云原生創(chuàng)新注入動(dòng)力通過(guò)諧云容器云PaaS平臺(tái)實(shí)現(xiàn)多芯片、多架構(gòu)資源的統(tǒng)一管理，實(shí)現(xiàn)上層業(yè)務(wù)與底諧云容器云PaaS平臺(tái)諧云容器云PaaS平臺(tái)國(guó)內(nèi)芯片國(guó)內(nèi)芯片傳統(tǒng)虛擬機(jī)1傳統(tǒng)虛擬機(jī)2Spine傳統(tǒng)虛擬機(jī)N 傳統(tǒng)物理機(jī)1 Leaf 傳統(tǒng)物理機(jī)2 Leaf傳統(tǒng)物理機(jī)N Leaf LeafLeafLeafSpine...虛擬機(jī)2...物理機(jī)2傳統(tǒng)虛擬機(jī)1傳統(tǒng)虛擬機(jī)2Spine傳統(tǒng)虛擬機(jī)N 傳統(tǒng)物理機(jī)1 Leaf 傳統(tǒng)物理機(jī)2 Leaf傳統(tǒng)物理機(jī)N Leaf LeafLeafLeafSpine...虛擬機(jī)2...物理機(jī)2物理機(jī)N...信息技術(shù)應(yīng)用創(chuàng)新成本物理機(jī)1......... 缺乏統(tǒng)一的運(yùn)維界面和運(yùn)維標(biāo)準(zhǔn)環(huán)境投產(chǎn)性能不高復(fù)雜的配置管理和監(jiān)控管理跨平臺(tái)兼容性和快速迭代部署缺乏統(tǒng)一的運(yùn)維界面和運(yùn)維標(biāo)準(zhǔn)環(huán)境投產(chǎn)性能不高復(fù)雜的配置管理和監(jiān)控管理跨平臺(tái)兼容性和快速迭代部署每種中間件可能都有自己的管理界面和運(yùn)維標(biāo)準(zhǔn)。可能要求中間件數(shù)據(jù)庫(kù)具備更高的性能和可伸縮性，可能需要進(jìn)行額外的優(yōu)化信息技術(shù)應(yīng)用創(chuàng)不同的硬件配置和系統(tǒng)要求可能需要不同的中間件配置，監(jiān)控多個(gè)中間件實(shí)例中間件在不同平臺(tái)上的兼容性問(wèn)題可能導(dǎo)致部署和管理困難，快速迭代和部署新功能和應(yīng)用程序也是常見(jiàn)核心能力核心能力統(tǒng)一Portal：通過(guò)一個(gè)集成平臺(tái)即可管理和監(jiān)控企業(yè)中數(shù)量繁多的各種2.ElasticSearch性能例如crd定義(非云原生廠商不精通或不具備，需要云原生廠商賦能)運(yùn)維能力缺失支持，例如：消息隊(duì)列的切換能力的補(bǔ)充chart打包最佳實(shí)踐，包括監(jiān)控/日志對(duì)接，備份容災(zāi)等等存量虛擬機(jī)類數(shù)據(jù)庫(kù)/中間件納管控制層·集群層控制層·集群層），隔離效果器與容器云》行業(yè)領(lǐng)先著作行業(yè)領(lǐng)先著作權(quán)威認(rèn)證、獎(jiǎng)項(xiàng)與證書(shū)權(quán)威認(rèn)證、獎(jiǎng)項(xiàng)與證書(shū)1、獲可信云認(rèn)證、自研產(chǎn)品互認(rèn)證2、參與金融業(yè)首批信息技術(shù)應(yīng)用創(chuàng)新試點(diǎn)建設(shè)項(xiàng)目4、容器云、分布式云、云監(jiān)控、云安全等方向軟件著作近百項(xiàng)5、國(guó)家高新技術(shù)企業(yè)、省市級(jí)高新技術(shù)研發(fā)中心、準(zhǔn)《容器平臺(tái)性能測(cè)試方法》《分布式云容器服務(wù)能力標(biāo)準(zhǔn)》《研發(fā)運(yùn)營(yíng)（DevOps）解決方案能力分級(jí)要求》《研發(fā)運(yùn)營(yíng)一體化（DevOps）能力成熟度模型》《面向5G的MEC邊緣云發(fā)展研究報(bào)告》《邊緣智能發(fā)展與演進(jìn)白皮書(shū)》BlockchianasaService)》?信息技術(shù)應(yīng)用創(chuàng)新工委會(huì)成員單元?浙江省信息技術(shù)應(yīng)用創(chuàng)新聯(lián)盟成員單位?通過(guò)國(guó)家工業(yè)信息安全發(fā)展研究中心認(rèn)證?通過(guò)金融信息技術(shù)創(chuàng)新生態(tài)實(shí)驗(yàn)室認(rèn)證?信息技術(shù)應(yīng)用創(chuàng)新工委會(huì)成員單元?浙江省信息技術(shù)應(yīng)用創(chuàng)新聯(lián)盟成員單位?通過(guò)國(guó)家工業(yè)信息安全發(fā)展研究中心認(rèn)證?通過(guò)金融信息技術(shù)創(chuàng)新生態(tài)實(shí)驗(yàn)室認(rèn)證?入圍工信部2022信息技術(shù)應(yīng)用創(chuàng)新解決方案寶蘭德、東方通兼容性認(rèn)證?...諧云積極參與組織活動(dòng)和標(biāo)準(zhǔn)編寫(xiě)，推動(dòng)生態(tài)適配和試點(diǎn)落地要求》?費(fèi)州中安全技術(shù)有限公司龍蜥引領(lǐng)IntelSPR助力Envoy云上加速硬件加速器全球首發(fā)上云，實(shí)現(xiàn)云原生場(chǎng)景下Envoy網(wǎng)關(guān)硬件加速易興睿阿里云智能-操作系統(tǒng)-系統(tǒng)研發(fā)龍蜥社區(qū)-IntelArchSIGContributor01背景介紹?IntelSPR加速器?Envoy網(wǎng)關(guān)02方案設(shè)計(jì)02方案設(shè)計(jì)用戶體驗(yàn)性能測(cè)試?用戶態(tài)庫(kù)?KubernetesPlugin?Envoy兼容?可觀測(cè)性監(jiān)控?自適應(yīng)與Fallback?開(kāi)箱即用鏡像-顯著提升云計(jì)算、網(wǎng)絡(luò)、大數(shù)據(jù)和存儲(chǔ)解決方案的性能和效率Handshake!-顯著提升云計(jì)算、網(wǎng)絡(luò)、大數(shù)據(jù)和存儲(chǔ)解決方案的性能和效率Handshake!-顯著提升云計(jì)算、網(wǎng)絡(luò)、大數(shù)據(jù)和存儲(chǔ)解決方案的性能和效率-顯著提升云計(jì)算、網(wǎng)絡(luò)、大數(shù)據(jù)和存儲(chǔ)解決方案的性能和效率如過(guò)濾/分析/完整性校驗(yàn)（CRC64）等-大數(shù)據(jù)、內(nèi)存數(shù)據(jù)庫(kù)或者類似內(nèi)存頁(yè)面壓縮等數(shù)據(jù)場(chǎng)景可以發(fā)揮作用-提供了負(fù)載均衡的能力，內(nèi)部工作隊(duì)列可以原子的、有序的分ServiceServiceMesh/Gateway/WebserverOriginalBuild-inStaticLibraryAnolisCloud-KernelopenAnolisServiceServiceMesh/Gateway/WebserverOriginalBuild-inStaticLibraryStaticLibraryAnolisCloud-KernelAnolisCloud-KernelAnolisCloud-KernelServiceServiceMesh/Gateway/WebserverOriginalBuild-inStaticLibraryAnolisCloud-KernelAnolisCloud-KernelServiceServiceMesh/Gateway/WebserverOriginalBuild-inBuild-inStaticLibraryAnolisCloud-KernelAnolisCloud-KernelServiceServiceMesh/Gateway/WebserverOriginalBuild-inStaticLibraryAnolisCloud-KernelAnolisCloud-KernelServiceServiceMesh/Gateway/WebserverOriginalBuild-inStaticLibraryBuild-inStaticLibraryAnolisCloud-KernelOriginalBuild-inStaticLibraryAnolisCloud-KernelOriginallibdlbaccel-configServiceServiceMesh/Gateway/WebserverAPIServerScheduler3.資源信息被保存在etcdKubernetesAPIServerScheduler3.資源信息被保存在etcdKubernetesKubelet2.Kubelet通過(guò)APIServer1.Plugin周期性掃描Host上存在的加速器設(shè)備，并以向Kubelet上報(bào) APIServerKubernetes APIServerKubernetesKubeletKubelet2.Kubelet接收到請(qǐng)求后，分配相應(yīng)資2.Kubelet接收到請(qǐng)求后，分配相應(yīng)資源并mount加速器設(shè)備節(jié)點(diǎn)到Pod中相較于原生CPU處理速度相較于指令加速平均TLS握手處理能力001248437.49835.473988.422864.43375.692363.933610.69壓縮性能012482409.013192.646466.874323.146709.716930.766840.026700.67解壓縮性能在worker數(shù)量低的時(shí)候加速效果更好延遲分布50%延遲分布75%0DLBEnvoyexact_balance0DLBEnvoyexact_balance0DLBEnvoyexact_balance0DLBEnvoyexact_balance平均延遲下降在高并發(fā)場(chǎng)景加速效果更好5432104.574.194.564.27DLBEnvoyexact_balance吞吐量不同并發(fā)量下均有提升壓縮階段解壓縮階段TLS握手階段壓縮階段解壓縮階段TLS握手階段0originiaatlsqatziptls-qatzip-iaa2c容器聯(lián)合加速性能2c作為主流Envoy網(wǎng)關(guān)容器規(guī)格，聯(lián)合加速提升顯著0origindlbiaatlsqatziptls-qatzip-iaa-dlb16c大容器聯(lián)合加速性能16c作為大規(guī)格容器，聯(lián)合加速依有顯著成效加速器加速器Fallback機(jī)制/mirror/ExactConnectionBala們?nèi)ゴ蠓奶嵘齌LS的卸載性能。經(jīng)過(guò)測(cè)試驗(yàn)證，我們的性能可以大幅的提夠把這些技