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

全部综合其他(302)Weblate(212)Blender(37)KiCad(20)Krita(9)产品与服务(8)人工智能(7)Apache OFBiz(5)GIMP(4)笔试面试(2)

语言

全部英语(259)中文(简体)(24)中文(繁体)(10)zh(4)日语(3)[zh](1)韩语(1)

格式

全部PDF文档 PDF(181)其他文档 其他(121)
 
本次搜索耗时 0.039 秒,为您找到相关结果约 302 个.
  • 全部
  • 综合其他
  • Weblate
  • Blender
  • KiCad
  • Krita
  • 产品与服务
  • 人工智能
  • Apache OFBiz
  • GIMP
  • 笔试面试
  • 全部
  • 英语
  • 中文(简体)
  • 中文(繁体)
  • zh
  • 日语
  • [zh]
  • 韩语
  • 全部
  • PDF文档 PDF
  • 其他文档 其他
  • 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 Trends Artificial Intelligence

    but as a reachable threshold. If / when achieved, AGI would redefine what software (and related hardware) can do. Rather than executing pre-programmed tasks, AGI systems would understand goals, generate storage, but for real-time inference and model training workloads that require dense, high-power hardware. As AI moves from experimental to essential, so too do data centers. Per NVIDIA Co-Founder and the same time, the cost of applying/using these models – known as inference – is falling quickly. Hardware is improving – for example, NVIDIA’s 2024 Blackwell GPU consumes 105,000x less energy per token
    0 码力 | 340 页 | 12.14 MB | 4 月前
    3
  • pdf文档 2021 中国开源年度报告

    switch to another software after a period of use. In that case, they need to redeploy such as hardware and data, resulting in a high transfer cost, so when users select the use of closed source software Pitchbook, Yunqi Partners 附录 1 开源硬件 v.s. 开源软件 Appendix 1 Open Source Hardware v.s. Open Source Software 开源硬件,即 Open Source Hardware,是可以通过公开渠道获得的硬件设计,如电路图、 材料清单和开发板布局数据。并且硬件设计的源代码的特定的格式可以为其他人获得,以方便 Open Source Hardware is hardware designs such as circuit diagrams, BOMs, and development board layout data available through public channels. Furthermore, the source code of a hardware design is available
    0 码力 | 199 页 | 9.63 MB | 1 年前
    3
  • pdf文档 TVM: Where Are We Going

    ChenCurrent Deep Learning Landscape Frameworks and Inference engines DL Compilers Kenrel Libraries Hardware CuDNN NNPack MKL-DNN Hand optimized Open source, automated end-to- end optimization framework Optimization AutoTVM Device FleetExisting Deep Learning Frameworks High-level data flow graph Hardware Primitive Tensor operators such as Conv2D eg. cuDNN Offload to heavily optimized DNN operator graph and optimizations Directly generate optimized program for new operator workloads and hardware Hardware FrameworksWhy Automation is the Future Clear winner on emerging models in product Competitive
    0 码力 | 31 页 | 22.64 MB | 5 月前
    3
  • pdf文档 Deploy VTA on Intel FPGA

    INTERNATIONAL INDUSTRIES, INCORPORATED 8 Hardware Configure Chisel VTA for DE10-Nano DEPLOY VTA ON INTEL FPGA©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 9 Hardware Datapath of Chisel VTA DEPLOY VTA VTA ON INTEL FPGA©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 10 Hardware DEPLOY VTA ON INTEL FPGA©2019 HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED 11 Getting Started DEPLOY VTA ON INTEL FPGA vta/config/de10nano_config.json to vta_config.json Step 9: Go to vta/hardware/intel and run make command Step 10: Get the generated .sof file programmed into hardware Step 11: Evaluate the unit test script test_vta_insn
    0 码力 | 12 页 | 1.35 MB | 5 月前
    3
  • pdf文档 KiCad 6.0 Reference manual

    inspecting circuit behavior. KiCad runs on all major operating systems and a wide range of computer hardware. It supports PCBs with up to 32 copper layers and is suitable for creating designs of all complexities KiCad is capable of running on a wide variety of hardware and operating systems, but some tasks may be slower or more difficult on lower-end hardware. For the best experience, a dedicated graphics card (jagged lines) when rendering using a graphics card. Different methods may look better on different hardware, so you may want to experiment to find the one that looks best to you. Fallback graphics antialiasing:
    0 码力 | 24 页 | 602.68 KB | 1 年前
    3
  • pdf文档 KiCad 7.0 Reference manual

    inspecting circuit behavior. KiCad runs on all major operating systems and a wide range of computer hardware. It supports PCBs with up to 32 copper layers and is suitable for creating designs of all complexities KiCad is capable of running on a wide variety of hardware and operating systems, but some tasks may be slower or more difficult on lower-end hardware. For the best experience, a dedicated graphics card (jagged lines) when rendering using a graphics card. Different methods may look better on different hardware, so you may want to experiment to find the one that looks best to you. Fallback graphics antialiasing:
    0 码力 | 25 页 | 969.09 KB | 1 年前
    3
  • pdf文档 KiCad 8.0 Documentation

    inspecting circuit behavior. KiCad runs on all major operating systems and a wide range of computer hardware. It supports PCBs with up to 32 copper layers and is suitable for creating designs of all complexities KiCad is capable of running on a wide variety of hardware and operating systems, but some tasks may be slower or more difficult on lower-end hardware. For the best experience, a dedicated graphics card (jagged lines) when rendering using a graphics card. Different methods may look better on different hardware, so you may want to experiment to find the one that looks best to you. Fallback graphics antialiasing:
    0 码力 | 25 页 | 789.18 KB | 1 年前
    3
  • pdf文档 KiCad 8.0 イントロダクション

    inspecting circuit behavior. KiCad runs on all major operating systems and a wide range of computer hardware. It supports PCBs with up to 32 copper layers and is suitable for creating designs of all complexities KiCad is capable of running on a wide variety of hardware and operating systems, but some tasks may be slower or more difficult on lower-end hardware. For the best experience, a dedicated graphics card (jagged lines) when rendering using a graphics card. Different methods may look better on different hardware, so you may want to experiment to find the one that looks best to you. Fallback graphics antialiasing:
    0 码力 | 25 页 | 705.63 KB | 1 年前
    3
  • pdf文档 2024 中国开源开发者报告

    未来方向 在芯片开发中应用 AI 技术已成为主流方向。2024 年 Hot Chips 会议第一天专门组织 了一个主题为“AI Assisted Hardware Design-Will AI Elevate or Replace Hardware Engineers?”的教程,来自 UCSD、英伟达、Synopsys 的专家系统地介绍了当前 AI 辅助 硬件(芯片)设计的最新进展。 总体来看,除了传统的基于强化学习的 年图灵奖得主)的指导下开展如何方便且高效发挥 GPU 能力的研究。2004 年,Buck 发表 了一篇题为“Brook for GPUs:Stream Computing on Graphics Hardware”的论文[17], 为 GPU 设计了一套支持流编程(Stream Programming)语言的编译器和运行时系统 Brook,从而能让开发者像在通用 CPU 上那样进行编程。这项工作旋即得到英伟达的青睐, Siddharth Garg, Ramesh Karri, Hammond Pearce. Chip-chat: Challenges and opportunities in conversational hardware design [C]//2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD). IEEE, 2023: 1-6. [5]
    0 码力 | 111 页 | 11.44 MB | 8 月前
    3
  • pdf文档 The Weblate Manual 4.0

    already included. PostgreSQL is set up as the default database. Hardware requirements Weblate should run on all contemporary hardware without problems, the following is the minimal con- figuration required Greenhost, and many other providers. Installing on Debian and Ubuntu Hardware requirements Weblate should run on all contemporary hardware without problems, the following is the minimal con- figuration required The Weblate Manual, Release 4.0 Installing on SUSE and openSUSE Hardware requirements Weblate should run on all contemporary hardware without problems, the following is the minimal con- figuration required
    0 码力 | 362 页 | 3.58 MB | 1 年前
    3
共 302 条
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 31
前往
页
相关搜索词
TrendsArtificialIntelligence2021中国开源年度报告年度报告TVMWhereAreWeGoingDeployVTAonIntelFPGAKiCad6.0Referencemanual7.08.0Documentation2024开发开发者TheWeblateManual4.0
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