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(105)C++(105)Conan(74)

语言

全部英语(103)中文(简体)(2)

格式

全部PDF文档 PDF(104)PPT文档 PPT(1)
 
本次搜索耗时 0.019 秒,为您找到相关结果约 105 个.
  • 全部
  • 后端开发
  • C++
  • Conan
  • 全部
  • 英语
  • 中文(简体)
  • 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 Can Data-Oriented-Design be Improved?

    programming • Modules • 2000s • Template metaprogramming • Concurrency • 2020s • ??? 3What is DoD about? • DoD (“Data oriented design”) • Not about cache lines, nor struct layout (at its core) • From wikipedia: 4Minimalist definition of DoD 𝐷𝑎𝑡𝑎!"#$"# = 𝐹(𝐷𝑎𝑡𝑎%&$"#) Transformation Input Data Output Data Specific transformation Previous transformation Next transformation 5How DoD is used in actual ChatGPT… 7 That’s cool, but it won’t get us very far…How can we improve it? (second try) • At its core DoD is just: 𝐷𝑎𝑡𝑎!"#$"# = 𝐹(𝐷𝑎𝑡𝑎%&$"#) • … With a heavy focus on the data. • What if we looked
    0 码力 | 39 页 | 1.18 MB | 6 月前
    3
  • pdf文档 Embracing an Adversarial Mindset for Cpp Security

    Malware Research # @ Endgame 0x40200B Malware Research # @ Fireeye 0x40201A Computer Forensics # @ DoD PREVIOUS 0x40D021 Blackhat, RSA, DEFCON, 0x40D02B 44Con, CanSecWest 0x40D02E BsidesSF, WiCys 0x40D032
    0 码力 | 92 页 | 3.67 MB | 6 月前
    3
  • pdf文档 Just-in-Time Compilation - J F Bastien - CppCon 2020

    carry much more semantic information implicitly. Here, think of examples where a single bytecode instruction might do a full matrix multiplication, or change the prototype of a class. There are much higher architecture on another architecture. Dynamic binary translation: execute the program from one Instruction Set Architecture in another (or the same) ISA, performing the translation dynamically. In other dynamic optimization system that is capable of transparently improving the performance of a native instruction stream as it executes on the processor. Focus its efforts on optimization opportunities that
    0 码力 | 111 页 | 3.98 MB | 6 月前
    3
  • pdf文档 C++ Memory Model: from C++11 to C++23

    www.linkedin.com/in/alexdathskovsky INO Execution • instruction fetch • if operands available execute it if not fetch them • The instruction is executed by the functional unit • The functional unit Scheduling • instruction fetched • instruction dispatched to instruction que • The instruction waits in the que untils its input operand are available • if operands available instruction is allowed to to leave the queue before other instructions • The instruction is issued to a functional unit • Only if all older instructions have completed the operation the result is written to register fileAlex
    0 码力 | 112 页 | 5.17 MB | 6 月前
    3
  • pdf文档 Branchless Programming in C++

    ● Data dependency: a = (v1 + v2)*(v1 – v2) ● Pipeline increases CPU utilization ● Multiple instruction streams run in parallel – Dependencies within each stream – No data dependencies between streams executed ● Conditional jumps (branches) disrupt that order ● CPU must wait until it knows which instruction to fetch next load:v1[i] load:v2[i] cmp[i]:v1[i]>v2[i] jump if true a[i]:a+=v2[i] jump a[i]:a+=v1[i] executed ● Conditional jumps (branches) disrupt that order ● CPU must wait until it knows which instruction to fetch next load:v1[i]...v3[i] cmp[i]:v3[i]==0 jump if true a[i]:a+=v1[i]+v2[i] jump a[i]:a+=v1[i]*v2[i]
    0 码力 | 61 页 | 9.08 MB | 6 月前
    3
  • pdf文档 How Meta Made Debugging Async Code Easier with Coroutines and Senders

    atomic topFrame; AsyncStackRoot* nextRoot; frame_ptr stackFramePtr; instruction_ptr returnAddress; };So what was that magic*? struct AsyncStackRoot { atomic atomic topFrame; AsyncStackRoot* nextRoot; frame_ptr stackFramePtr; instruction_ptr returnAddress; };So what was that magic*? struct AsyncStackRoot { atomic topFrame; nextRoot; frame_ptr stackFramePtr; instruction_ptr returnAddress; }; struct AsyncStackFrame { AsyncStackFrame* parentFrame; instruction_ptr instructionPointer; AsyncStackRoot* stackRoot;
    0 码力 | 131 页 | 907.41 KB | 6 月前
    3
  • pdf文档 Blazing Trails: Building the World's Fastest CameBoy Emulator in Modern C++

    completely memory mapped • Only 8080’s set of registers • Z80’s extended bit manipulation instruction set • Some aditional new instructionsCPU Block DiagramMemory & Memory mapped access • 8 KiB of the CPU. Emulators with T-cycle accuracy simulate the exact number of clock ticks for every instruction, providing the highest level of timing precision. • M-Cycle: Memory Cycle. An M-cycle represents represents a higher-level unit of time used by the Game Boy's CPU for executing instructions. Each instruction takes a specific number of M-cycles, with each M-cycle typically equating to 4 T-cycles. 21T-Cycle
    0 码力 | 91 页 | 8.37 MB | 6 月前
    3
  • pdf文档 To Int or to Uint, This is the Question

    as all numbers are represented in the binary form. Therefor using n/2 is equal to n>>1. •Each instruction that is fetched from the memory is pushed into a pipeline, one of the steps in the pipeline is as all numbers are represented in the binary form. Therefor using n/2 is equal to n>>1. •Each instruction that is fetched from the memory is pushed into a pipeline, one of the steps in the pipeline is as all numbers are represented in the binary form. Therefor using n/2 is equal to n>>1. •Each instruction that is fetched from the memory is pushed into a pipeline, one of the steps in the pipeline is
    0 码力 | 102 页 | 3.64 MB | 6 月前
    3
  • pdf文档 Back to Basics: Concurrency

    of execution ● One CPU core executes code sequentially ○ i.e. One instruction after the other. Instruction Execute ... Instruction ExecuteThis somewhat reflects how we write software (2/3) 12 ● one main, sequential thread of execution ● One CPU core executes code sequentially ○ i.e. One instruction after the other. ○ We can abstract our visualization, and just show the call stack. ■ (One function have one main, sequential thread of execution ● One CPU core executes code serially ○ i.e. One instruction after the other. ○ We can abstract our visualization, and just show the call stack. ■ (One function
    0 码力 | 141 页 | 6.02 MB | 6 月前
    3
  • pdf文档 Performance Engineering: Being Friendly to Your Hardware

    • Linear fetch • Incoming branch • Instruction alignment • Instruction fusingBranch prediction 42 Branching Fetch L1I • Governs fetching of next instruction blocks • A set of tables • Branch instructions is: - Complex - Serial - Slow • Fetch block size • Linear fetch vs incoming branch 44Instruction decoding 45 Branching Fetch Decode Queue ROM Cache L1I • Decoded operations may get cached Block-based cryptographic hash function. • Simple bitwise operations – many of them. • Instruction set equivalence may not be assumed. • Vertical vs horizontal data layout. 105 Latency Throughput
    0 码力 | 111 页 | 2.23 MB | 6 月前
    3
共 105 条
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 11
前往
页
相关搜索词
CanDataOrientedDesignbeImprovedEmbracinganAdversarialMindsetforCppSecurityJustinTimeCompilationBastienCppCon2020C++MemoryModelfrom11to23BranchlessProgrammingHowMetaMadeDebuggingAsyncCodeEasierwithCoroutinesandSendersBlazingTrailsBuildingtheWorldFastestCameBoyEmulatorModernToIntorUintThisisQuestionBackBasicsConcurrencyPerformanceEngineeringBeingFriendlyYourHardware
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