该run文件可以适用于linux系统下多种型号NVIDAI显卡驱动。
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pika数据库3.3.6版本压缩包，搬砖到国内，不用去github下载了

NVIDIA驱动包适用于linux，CUDAVersion:10.0及以上

NVIDIA-Linux-x86_64-390.67,NVIDIA-Linuxlatestupgratesource

使用kafka-log4j-appender可能会用到的jar包版本1.0.1

esp8266交叉编辑工具

Idealforgraduateandseniorundergraduatecoursesincomputerarithmeticandadvanceddigitaldesign,ComputerArithmetic:AlgorithmsandHardwareDesigns,SecondEdition,providesabalanced,comprehensivetreatmentofcomputerarithmetic.Itcoverstopicsinarithmeticunitdesignandcircuitimplementationthatcomplementthearchitecturalandalgorithmicspeeduptechniquesusedinhigh-performancecomputerarchitectureandparallelprocessing.Usingaunifiedandconsistentframework,thetextbeginswithnumberrepresentationandproceedsthroughbasicarithmeticoperations,floating-pointarithmetic,andfunctionevaluationmethods.Laterchapterscoverbroaddesignandimplementationtopics-includingtechniquesforhigh-throughput,low-power,fault-tolerant,andreconfigurablearithmetic.Anappendixprovidesahistoricalviewofthefieldandspeculatesonitsfuture.Anindispensableresourceforinstruction,professionaldevelopment,andresearch,ComputerArithmetic:AlgorithmsandHardwareDesigns,SecondEdition,combinesbroadcoverageoftheunderlyingtheoriesofcomputerarithmeticwithnumerousexamplesofpracticaldesigns,worked-outexamples,andalargecollectionofmeaningfulproblems.Thissecondeditionincludesanewchapteronreconfigurablearithmetic,inordertoaddressthefactthatarithmeticfunctionsareincreasinglybeingimplementedonfield-programmablegatearrays(FPGAs)andFPGA-likeconfigurabledevices.Updatedandthoroughlyrevised,thebookoffersnewandexpandedcoverageofsaturatingaddersandmultipliers,truncatedmultipliers,fusedmultiply-addunits,overlappedquotientdigitselection,bipartiteandmultipartitetables,reversiblelogic,dotnotation,modulararithmetic,Montgomerymodularreduction,divisionbyconstants,IEEEfloating-pointstandardformats,andintervalarithmetic.Features:*Dividedinto28lecture-sizechapters*Emphasizesboththeunderlyingtheoriesofcomputerarithmeticandactua

NVIDIA-Linux-x86_64-384.59，run文件ubuntu下安装，注意版本

docker1.7.1离线安装包及所需的依赖rpm-ivhlxc-libs-1.0.9-1.el6.x86_64.rpmrpm-ivhlua-alt-getopt-0.7.0-1.el6.noarch.rpmrpm-ivhlua-filesystem-1.4.2-1.el6.x86_64.rpmrpm-ivhlua-lxc-1.0.9-1.el6.x86_64.rpmrpm-ivhlxc-1.0.9-1.el6.x86_64.rpmrpm-ivhdocker-io-1.7.1-2.el6.x86_64.rpmrpm-ivhdevice-mapper-libs-1.02.117-12.el6.x86_64.rpm--force--nodepsservicedockerstart

IntroductionThisprogrammingmanualprovidesinformationforapplicationandsystem-levelsoftwaredevelopers.ItgivesafulldescriptionoftheSTM32F3andSTM32F4SeriesCortex®-M4processorprogrammingmodel,instructionsetandcoreperipherals.TheSTM32F3andSTM32F4SeriesCortex®-M4processorisahighperformance32-bitprocessordesignedforthemicrocontrollermarket.Itofferssignificantbenefitstodevelopers,including:•Outstandingprocessingperformancecombinedwithfastinterrupthandling•Enhancedsystemdebugwithextensivebreakpointandtracecapabilities•Efficientprocessorcore,systemandmemories•Ultra-lowpowerconsumptionwithintegratedsleepmodes•Platformsecurity

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。