积分充值
 首页
前端开发
AngularDartElectronFlutterHTML/CSSJavaScriptReactSvelteTypeScriptVue.js构建工具
后端开发
.NetC#C++C语言DenoffmpegGoIdrisJavaJuliaKotlinLeanMakefilenimNode.jsPascalPHPPythonRISC-VRubyRustSwiftUML其它语言区块链开发测试微服务敏捷开发架构设计汇编语言
数据库
Apache DorisApache HBaseCassandraClickHouseFirebirdGreenplumMongoDBMySQLPieCloudDBPostgreSQLRedisSQLSQLiteTiDBVitess数据库中间件数据库工具数据库设计
系统运维
AndroidDevOpshttpdJenkinsLinuxPrometheusTraefikZabbix存储网络与安全
云计算&大数据
Apache APISIXApache FlinkApache KarafApache KyuubiApache OzonedaprDockerHadoopHarborIstioKubernetesOpenShiftPandasrancherRocketMQServerlessService MeshVirtualBoxVMWare云原生CNCF机器学习边缘计算
综合其他
BlenderGIMPKiCadKritaWeblate产品与服务人工智能亿图数据可视化版本控制笔试面试
文库资料
前端
AngularAnt DesignBabelBootstrapChart.jsCSS3EchartsElectronHighchartsHTML/CSSHTML5JavaScriptJerryScriptJestReactSassTypeScriptVue前端工具小程序
后端
.NETApacheC/C++C#CMakeCrystalDartDenoDjangoDubboErlangFastifyFlaskGinGoGoFrameGuzzleIrisJavaJuliaLispLLVMLuaMatplotlibMicronautnimNode.jsPerlPHPPythonQtRPCRubyRustR语言ScalaShellVlangwasmYewZephirZig算法
移动端
AndroidAPP工具FlutterFramework7HarmonyHippyIoniciOSkotlinNativeObject-CPWAReactSwiftuni-appWeex
数据库
ApacheArangoDBCassandraClickHouseCouchDBCrateDBDB2DocumentDBDorisDragonflyDBEdgeDBetcdFirebirdGaussDBGraphGreenPlumHStreamDBHugeGraphimmudbIndexedDBInfluxDBIoTDBKey-ValueKitDBLevelDBM3DBMatrixOneMilvusMongoDBMySQLNavicatNebulaNewSQLNoSQLOceanBaseOpenTSDBOracleOrientDBPostgreSQLPrestoDBQuestDBRedisRocksDBSequoiaDBServerSkytableSQLSQLiteTiDBTiKVTimescaleDBYugabyteDB关系型数据库数据库数据库ORM数据库中间件数据库工具时序数据库
云计算&大数据
ActiveMQAerakiAgentAlluxioAntreaApacheApache APISIXAPISIXBFEBitBookKeeperChaosChoerodonCiliumCloudStackConsulDaprDataEaseDC/OSDockerDrillDruidElasticJobElasticSearchEnvoyErdaFlinkFluentGrafanaHadoopHarborHelmHudiInLongKafkaKnativeKongKubeCubeKubeEdgeKubeflowKubeOperatorKubernetesKubeSphereKubeVelaKumaKylinLibcloudLinkerdLonghornMeiliSearchMeshNacosNATSOKDOpenOpenEBSOpenKruiseOpenPitrixOpenSearchOpenStackOpenTracingOzonePaddlePaddlePolicyPulsarPyTorchRainbondRancherRediSearchScikit-learnServerlessShardingSphereShenYuSparkStormSupersetXuperChainZadig云原生CNCF人工智能区块链数据挖掘机器学习深度学习算法工程边缘计算
UI&美工&设计
BlenderKritaSketchUI设计
网络&系统&运维
AnsibleApacheAWKCeleryCephCI/CDCurveDevOpsGoCDHAProxyIstioJenkinsJumpServerLinuxMacNginxOpenRestyPrometheusServertraefikTrafficUnixWindowsZabbixZipkin安全防护系统内核网络运维监控
综合其它
文章资讯
 上传文档  发布文章  登录账户
IT文库
  • 综合
  • 文档
  • 文章

无数据

分类

全部后端开发(114)C++(114)Conan(74)

语言

全部英语(104)中文(简体)(8)中文(繁体)(1)英语(1)

格式

全部PDF文档 PDF(113)PPT文档 PPT(1)
 
本次搜索耗时 0.026 秒,为您找到相关结果约 114 个.
  • 全部
  • 后端开发
  • C++
  • Conan
  • 全部
  • 英语
  • 中文(简体)
  • 中文(繁体)
  • 英语
  • 全部
  • PDF文档 PDF
  • PPT文档 PPT
  • 默认排序
  • 最新排序
  • 页数排序
  • 大小排序
  • 全部时间
  • 最近一天
  • 最近一周
  • 最近一个月
  • 最近三个月
  • 最近半年
  • 最近一年
  • pdf文档 Application of C++ in Computational Cancer Modeling

    predict the window of opportunity for screening) National Cancer Institute – What is Cancer 3A computational model for cancer initiation 4 A single cell • Consider a bunch of ‘pseudo’ cells. • Cells have a stochastic process (Markov process). Birth event Mutation event Random Time 𝑢12 𝜆1A computational model for cancer initiation 4 A single cell • Consider a bunch of ‘pseudo’ cells. • Cells have rnd_generator; std::exponential_distribution<> exp{rate}; double time = exp(rnd_generator); 𝑢12 𝜆1A computational model for cancer initiation 5 Healthy cell Cell that harbors a neutral mutation Cancerous
    0 码力 | 47 页 | 1.14 MB | 6 月前
    0.03
  • pdf文档 generic graph libraries

    [tile] DB libraries, and large-scale graph analytics. Open-source software projects resulting from his work include the Matrix Template Library, the Boost Graph Library and Open MPI. 。Phil Ratzloff *。Distinguished relationships between elements of a data set *,Without regard to what the data set actually is *。 Graph theoretical (abstract) results can be applied to many different practical (concrete) problems -theory cvMuNKCATIOWS 有二有 灿瑟必帮 和一是/第 手太则光大 A,训四 昱 站 -本| 厅 是,主 半一司、|全之体 ~ 对 /人-看 奋才全 和 全原 和 刁曾 The Future ls Big Graph: on meetalThngs soneaiadman MD] Basic Principles *。The C++ standard library (nee STL) provides
    0 码力 | 76 页 | 6.59 MB | 6 月前
    3
  • pdf文档 GraphBLAS: Building a C++ Matrix API for Graph Algorithms

    Scott, Principal Engineer at CMU SEI Graph/ML/AI algorithms for large- and small- scale parallel systems. Working on GBTL, a linear algebra-based C++ library for graph analytics.[DISTRIBUTION STATEMENT GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, graph library proposal? 4[DISTRIBUTION STATEMENT A] This material has been approved for public release GraphBLAS community, C API Overview of our draft C++ API How might this interoperate with standard C++, graph library proposal? 5[DISTRIBUTION STATEMENT A] This material has been approved for public release
    0 码力 | 172 页 | 7.40 MB | 6 月前
    3
  • pdf文档 Taro: Task graph-based Asynchronous Programming Using C++ Coroutine

    top-down task graph What is Task Graph-based Programming System (TGPS) Code 4• TGPS encapsulates function calls and their dependencies in a top-down task graph What is Task Graph-based Programming task graph What is Task Graph-based Programming System (TGPS) Code A B C D B A C D 6• TGPS encapsulates function calls and their dependencies in a top-down task graph What is Task Graph-based precede(task_d); 19 20 sched.schedule(); 21 sched.wait(); B A C D 1. Easy to write and express a task graph 2. Allow to implement irregular parallel decomposition strategies 8Existing TGPSs on Heterogenous
    0 码力 | 84 页 | 8.82 MB | 6 月前
    3
  • pdf文档 From Eager Futures/Promises to Lazy Continuations: Evolving an Actor Library Based on Lessons Learned from Large-Scale Deployments

    resulting type is the “computational graph”lazy continuations auto k = http::Post(url, body, /* k' */); k.Start(); ● resulting type is the “computational graph” ● the graph is lazy, i.e., nothing has resulting type is the “computational graph” ● the graph is lazy, i.e., nothing has started when we get it (tradeoff for dynamic allocation) and must be explicitly started ● the graph can be allocated on resulting type is the “computational graph” ● the graph is lazy, i.e., nothing has started when we get it (tradeoff for dynamic allocation) and must be explicitly started ● the graph can be allocated on
    0 码力 | 264 页 | 588.96 KB | 6 月前
    3
  • pdf文档 Algorithmic Complexity

    Complexity @ CppCon 2021 Computational Complexity Computational Complexity or simply Complexity of an algorithm is the amount of resources required to run it. - from Computational complexity in wikipedia The amount of time, storage, or any other resource. 15 Algorithmic Complexity @ CppCon 2021 Computational Complexity n → f(n) n - is size of input f(n) - is the amount of resources required to run Amount of memory required Often denoted by S(n) or s(n) 16Algorithmic Complexity @ CppCon 2021 Computational Complexity Worst-Case Complexity Maximum amount of resources needed over all inputs of size
    0 码力 | 52 页 | 1.01 MB | 6 月前
    3
  • pdf文档 COMPOSABLE C++

    in higher dimensions. This unlocks structural and computational composition by separating what from where. This unlocks structural and computational composition by separating what from where. We can
    0 码力 | 124 页 | 8.28 MB | 6 月前
    3
  • pdf文档 Modern C++ for Parallelism in High Performance Computing

    whether some parallelism models have other limitations that make them scale worse than others. Computational structure Our mini-app is the ‘power method’: an algorithm for computing the largest eigenvalue
    0 码力 | 3 页 | 91.16 KB | 6 月前
    3
  • pdf文档 Blazing Trails: Building the World's Fastest CameBoy Emulator in Modern C++

    within “Digital Arts and Entertainment” bachelor,r Game Development major • C++ • Algorithms • Computational System Fundamentals • *new* Retro Console and Emulator Programming • https://www.howest.be/en
    0 码力 | 91 页 | 8.37 MB | 6 月前
    3
  • pdf文档 Cache-Friendly Design in Robot Path Planning

    4 km deep 51The operating environment This is a spatial graph extracted from the map. 52The operating environment This is a spatial graph informs the robot about good "roadways" to travel along. 53The operating environment A robot could use this graph to make global plans to get around the warehouse. 54Why not just pre-compute all paths? 55Why not just pre-compute all paths? 56What do we (early stopping) 65Dijkstra's algorithm (early stopping) function Dijkstras(Graph, source, target): for each vertex v in Graph.Vertices: prev[v] ← UNDEFINED # predecessors
    0 码力 | 216 页 | 10.68 MB | 6 月前
    3
共 114 条
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 12
前往
页
相关搜索词
ApplicationofComputationalCancerModelinggenericgraphlibrariesGraphBLASBuildingC++MatrixAPIforGraphAlgorithmsTaroTaskbasedAsynchronousProgrammingUsingCoroutineFromEagerFuturesPromisestoLazyContinuationsEvolvinganActorLibraryBasedonLessonsLearnedfromLargeScaleDeploymentsAlgorithmicComplexityCOMPOSABLEModernParallelisminHighPerformanceComputingBlazingTrailstheWorldFastestCameBoyEmulatorCacheFriendlyDesignRobotPathPlanning
IT文库
关于我们 文库协议 联系我们 意见反馈 免责声明
本站文档数据由用户上传或本站整理自互联网,不以营利为目的,供所有人免费下载和学习使用。如侵犯您的权益,请联系我们进行删除。
IT文库 ©1024 - 2025 | 站点地图
Powered By MOREDOC AI v3.3.0-beta.70
  • 关注我们的公众号【刻舟求荐】,给您不一样的精彩
    关注我们的公众号【刻舟求荐】,给您不一样的精彩