Prime Path

[应用]Primetime时序分析流程与方法PrimeTime是Synopsys的一个单点的全芯片、门级静态时序分析器。

它能分析大规模、同步、数字ASICS的时序。

PrimeTime工作在设计的门级层次,并且和Synopsys其它工具整吅得很紧密。

基本特点和功能:时序检查方面:建立和保持时序的检查，Setup and hold checks，重新覆盖和去除检查，Recovery and removal checks，时钟脉冲宽度检查(Clock pulse width checks) 时钟门锁检查(Clock-gating checks)设计检查方面:没有时钟端的寄存器没有时序约束的结束点，endpoint，主从时钟分离，Master-slave clock separation，有多哥时钟的寄存器对层次敏感的时钟，Level-sensitive clocking，组吅电路的反馈环，Combinational feedback loops，设计规刕检查,包括最大电容(maximum capacitance)、最大传输时间(maximum transition)和最大扇出(maximum fanout)PrimeTime 时序分析流程和方法:在时序分析之前需要做的步骤:1、建立设计环境- 建立搜索路径，search path，和链接路径，link path，- 读入设计和库- 链接顶层设计- 建立迈作条仪、违线负载模型、端口负载、驱动和传输时间 2、说明时序声明，约束，- 定义时钟周期、波形、不确定性(uncertainty)和滞后时间(latency) - 说明输入、输出端口的延时3、说明时序例外情况，timing exceptions，- 多周期路径，multicycle paths，- 不吅法路径(false paths)- 说明最大和最小延时、路径分割，path segmentation，和失效弧，disabled arcs， 4、进行分析和生成报告- 检查时序- 生成约束报告- 生成路径时序报告开始先建立目录并将PrimeTime本身所带的一个例子拷到新建的目录下,在下面的内容中将要用到这个例子。

Garden Path SentencesBelow are some ‘garden path’ sentences. They are alike in that, when one readsthem, one frequently experiences some confusion and has to restart the parse; the metaphor is ‘being led down the garden path’. This can happen in several ways.1.The prime number few.2.Fat people eat accumulates.3.The cotton clothing is usually made of grows in Mississippi.4.Until the police arrest the drug dealers control the street.5.The man who hunts ducks out on weekends.6.When Fred eats food gets thrown.7.Mary gave the child the dog bit a bandaid.8.The girl told the story cried.9.I convinced her children are noisy.10.Helen is expecting tomorrow to be a bad day.11.The horse raced past the barn fell.12.I know the words to that song about the queen don't rhyme.13.She told me a little white lie will come back to haunt me.14.The dog that I had really loved bones.15.That Jill is never here hurts.16.The man who whistles tunes pianos.17.The old man the boat.18.Have the students who failed the exam take the supplementary.19.The raft floated down the river sank.20.We painted the wall with cracks.21.The tycoon sold the offshore oil tracts for a lot of money wanted to kill JR. For each sentence, describe the problem and the structures that contribute to it.Do the sentences fall into classes based on structural characteristics?Be sure to notice in each case whether the garden-path phenomenon is restricted to reading, or whether it is also present when the sentence is spoken aloud.I.e, how much of this phenomenon is automatically disambiguated by intonation, stress, and rhythm in ordinary speech?。

Charles Darwin was a rigorous, meticulous scientist. He spent nearly 20 years honing his analysis and polishing his prose before publishing his groundbreaking work, On the Origin of Species, in November 1859.Darwin’s slim volume was what we would call a “game changer,” a revolutionary work that fundamentally altered the way human beings see themselves and the natural world. Today most of us are familiar with his theory of “natural selection”—the foundation of modem evolutionary biology. But 150 years ago, Darwin was sailing into choppy waters. The Church of England had set rigid boundaries, and his thesis was clearly a challenge to the orthodox view that humans were a separate, unique part of God’s creation and that all life was divinely created and unchan geable.The establishment of the time mocked him. There was intense public debate. But Darwin was unflinching. Today his core idea that all animals and plants evolve and adapt through natural selection is the bedrock of modern life sciences. He opened the door to a new world—a door which religious fundamentalists and “intelligent design” proponents are still trying to close.Darwin’s long battle has disturbing echoes today. We, too, are trapped in the same sort of false illusion that stymied critical thought before his radical breakthrough, except that the myth that envelops us is more dangerous and even more deeply rooted.Our great sustaining myth is economic growth: faith that the economy can grow forever, that there are no limits to the wealth we can create from Earth’s natural resources. Growth, measured by an increasing Gross Domestic Product (GDP), is what drives government policy worldwide.The equation has been drummed into us for so long that it’s received wisdom. Growth equals prosperity and job s. Growth equals progress.Yet this is a relatively recent turn of events. Using the GDP as a tool to measure growth has only been around since the late 1940s when the UN System of National Accounts was developed. For most of human history, economic growth was a mere blip. Only the last eight generations of humans have experienced consistent growth. As the father of green economics, Herman Daly, points out: “Historically, steady state is the normal condition; growth is an aberration.” By “steady state,” Daly means an economy with a constant population and “the lowest feasible flows of matter and energy from the first stage of production to the last stage of consumption.”The latest global economic slump underlines our reliance on growth. What happens when the economy stumbles? Financial markets crash, property values plummet, bankruptcies pile up, unemployment soars, and social pathologies multiply. Thus the resurgence of Keynesian economics. Prime the pump with billions in government funds. Pray that tax breaks and fiscal stimulus will boost investment, production, and jobs.Yet the world already produces far too much stuff, a lot of it unnecessary and much of it useless. We go on churning out mountains of consumer goods because it’s good for growth. As long as the economy keeps growing, things will be okay. Growth keeps people employed, investment profitable, and the endless cycle of production and consumption spinning. Increases in productivity and the restless search for profits drive the process.Endless accumulation and expansion is the core of capitalism.Consider this: the world economy grew more than seven-fold from 1950 to 2000. It’s projected to do the same again by 2050. At current rates of growth (before the recent global meltdown), the economy was doubling every 15 years, a breathtaking number when you consider that it took all of human history to reach the $6 trillion world economy of 1950. As the US writers Fred Magdoff and John Bellamy Foster note: “No-growth capitalism is an oxymoron: when growth ceases, the system is in a state of crisis.” The upshot is that the natural environment, on which human life and the human economy depend, is sidelined—“not as a place with inherent boundaries within which human beings must live together with Eart h’s other species, but as a realm to be exploited in a process of growing economic expansion.”The uncomfortable and inconvenient truth is that the physical resources of the biosphere are finite. We’re not approaching the ecological limits to growth; we’r e well past them. And in the process we are fouling the planet with our wastes and threatening the natural systems on which humanity and all other species depend.The hard statistics of ecological decline could fill a library. We’re chewing through massiv e quantities of both renewable and non-renewable resources at a breakneck speed.In 2005, the UN Millennium Ecosystem Assessment, a collaborative work of more than 10,000 scientists, found that 60% of “ecosystem services”—things like climate regulation, the water cycle, pollination, global fisheries, natural waste treatment—were being degraded or used unsustainably. “Human activity is putting such a heavy strain on Earth’s natural functions,” the report warned, “that the ability of the planet’s ecosystems to sustain human endeavor can nolonger be taken for granted.”The new familiar Ecological Footprint model supports this conclusion. It’s a way of asking how much we’re extracting from the planet to live the way we do. Conventional economics tends to see the environment as a subset of the economy. The footprint approach does the reverse, comparing humanity’s ecological impact—resources consumed and waste produced—with the amount of productive land and water available to supply key ecosystem services. It deals in averages so the rich/poor divide is blurred. But the message is clear. It takes about 1.8 hectares to sustain the average person on Earth. Those of us in the rich world are way above the average: Canadians each use about eight hectares, and Americans use 10, more than five times the average.In 1961, human beings used about half of Earth’s biocapacity; by 2006 we were using 44% more than is available. Mathis Wackemagel, one of the founders of the ecological footprint system, says we will need the equivalent of two Earths by the late 2030s to keep up with our demands. Ecologists call this phenomenon “overshoot.” It’s a temporary state that becomes increasingly untenable as stocks of resources are depleted.Wackernagel again says: “Since the 1980s, we’ve been drawing down the biosphere’s principal rather than living off its annual interest. To support our consumption, we have been liquidating resource stocks and allowing carbon dioxide to accumulate in the atmosphere.”Oil is the main culprit. The burning of fossil fuels, especially petroleum, powers the global economy. Oil is an extraordinary feat of concentrated energy: three large teaspoons of crude contain about the same amount of energy as eight hours of human manual labor. Geologist Colin J. Camp bell hit the nail on the head: “It’s as if each one of us had a team of slaves working for us for next to nothing.”Napoleon said that an army marches on its stomach; our modern globalized economy marches on oil. But it’s a Faustian bargain. The costs now exceed the benefits. Take the climate system, a key “natural service” threatened by human-made greenhouse gas emissions, mostly CO2, the main by-product from the combustion of fossil fuels. The more oil and coal we bum, the more CO2 is pumped into the atmosphere and the more we tip the balance.Leading climate scientists say a target of 350 parts per million (ppm) of CO2 might avoid dangerous climate change. We’re currently at 390 ppm and projected to hit 650 ppm by the end of this century. This translate s into an average increase in global temperature of about 4°C. If this projection plays out, we’re in big trouble. Large parts of Africa, China, India, and Latin America would become desert. Have you heard the term “environmental refugees”? Keep it in mind, because you’re going to be hearing it a lot more in the years ahead.Even on its own terms, growth isn’t working. We avoid talking about the skewed distribution of the planet’s wealth and income, dreaming instead that we can grow our way out of the prob lem. So the richest 20% of the world’s population consumes the lion’s share of resources, while the poorest 80% have to get by on the crumbs. And the ratios are getting worse. Growth is an excuse for continued inequality. But, more importantly, countless studies show that beyond a certain point higher levels of material consumption do not lead to increased well-being or happiness.Per capita GDP has tripled in the United States since 1950, but the percentage of people who say they are happy has declined since the 1970s. Richard Wilkinson and Kate Pickett, in their book The Spirit Level, note that poor nations with lower inequality have higher levels of well-being than richer but more unequal nations. We place growth above equality and pay a price in what’s called “the hidden injuries of class.” Shorter, unhealthier, and unhappier lives addicted to a mindless consumerism that is depleting the planet’s resources.Free market cheerleaders believe that technology and human ingenuity will solve the problem. The economy can be “de-coupled” from material inputs, they claim, and improved technology will allow us to produce more wealth with less energy, materials, and waste. This is whistling in the dark. Between 1970 and 2000, rich countries saw impressive gains in energy efficiency of up to 40%; but average improvements of 2% a year were eclipsed by growth rates of 3% or more. Increased technical efficiency is swamped by increased consumption.A recent report by the New Economics Foundation found that, to stabilize carbon emissions at 350 ppm by 2050, the carbon intensity of the global economy would need to fall by 95%. Ramping up GDP without improving technological efficiency leads to more environmental damage. Yet improving efficiency leads to more growth, which leads to the same result.We’ve been captured by a myth far more alluring than the one that Charles Darwin confronted 150 years ago: the dream of perpetual economic growth. In the North we have been living beyond our ecological means for decades, consuming too much and producing more waste than the environment can absorb, while inequality grows.The global population is expected to jump by 3 billion in the next 40 years—more than the entire population in 1950.Most of that increase will be in the South, where poverty is entrenched and living standards desperate. How will those next three billion live? Justice demands that we in the rich countries ratchet back our growth and clear some space for those who need it. The fate of planet Earth may depend on it.Are we up to it?The economy is a human construct. It’s not an act of God. We made it, we can change it.。

Kafka学习笔记之kafka常见报错及解决⽅法（topic类、⽣产消费类、启动类）0x01 启动报错1.1 第⼀种错误2017-02-17 17:25:29,224] FATAL Fatal error during KafkaServer startup. Prepare to shutdown (kafka.server.KafkaServer)mon.KafkaException: Failed to acquire lock on file .lock in /var/log/kafka-logs. A Kafka instance in another process or thread is using this directory.at kafka.log.LogManager$$anonfun$lockLogDirs$1.apply(LogManager.scala:100)at kafka.log.LogManager$$anonfun$lockLogDirs$1.apply(LogManager.scala:97)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)at scala.collection.AbstractTraversable.map(Traversable.scala:104)at kafka.log.LogManager.lockLogDirs(LogManager.scala:97)at kafka.log.LogManager.<init>(LogManager.scala:59)at kafka.server.KafkaServer.createLogManager(KafkaServer.scala:609)at kafka.server.KafkaServer.startup(KafkaServer.scala:183)at io.confluent.support.metrics.SupportedServerStartable.startup(SupportedServerStartable.java:100)at io.confluent.support.metrics.SupportedKafka.main(SupportedKafka.java:49)解决⽅法：Failed to acquire lock on file .lock in /var/log/kafka-logs.--问题原因是有其他的进程在使⽤kafka，ps -ef|grep kafka，杀掉使⽤该⽬录的进程即可；1.2 第⼆种错误：对index⽂件⽆权限把⽂件的权限更改为正确的⽤户名和⽤户组即可；⽬录/var/log/kafka-logs/，其中__consumer_offsets-29是偏移量；1.3 第三种⽣产消费报错:jaas连接有问题kafka_client_jaas.conf⽂件配置有问题16环境上/opt/dataload/filesource_wangjuan/conf下kafka_client_jaas.confKafkaClient {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=truekeyTab="/home/client/keytabs/client.keytab"serviceName="kafka"principal="client/dcp@";};0x02 ⽣产者报错2.1 第⼀种：⽣产者向topic发送消息失败[2017-03-09 09:16:00,982] [ERROR] [startJob_Worker-10] [DCPKafkaProducer.java line:62] produceR向topicdf02211发送信息出现异常mon.KafkaException: Failed to construct kafka producerat org.apache.kafka.clients.producer.KafkaProducer.<init>(KafkaProducer.java:335)原因是配置⽂件：kafka_client_jaas.conf中配置有问题，keyTab的路径不对，导致的；2.2 第⼆种：⽣产消费报错： Failed to construct kafka producer报错关键信息：Failed to construct kafka producer解决⽅法：配置⽂件问题：KafkaClient中serviceName应该是kafka，之前配置成了zookeeper；重启后，就好了；配置⽂件如下：KafkaServer {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=trueuseTicketCache=falseserviceName=kafkakeyTab="/etc/security/keytabs/kafka.service.keytab"principal="kafka/dcp16@";};KafkaClient {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=trueserviceName=kafkakeyTab="/etc/security/keytabs/kafka.service.keytab"principal="kafka/dcp16@";};Client {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=trueuseTicketCache=falseserviceName=zookeeperkeyTab="/etc/security/keytabs/kafka.service.keytab"principal="kafka/dcp16@";};问题描述：[kafka@DCP16 bin]$ ./kafka-console-producer --broker-list DCP16:9092 --topic topicin050511 --producer.config ../etc/kafka/producer.propertiesmon.KafkaException: Failed to construct kafka producerat org.apache.kafka.clients.producer.KafkaProducer.<init>(KafkaProducer.java:335)at org.apache.kafka.clients.producer.KafkaProducer.<init>(KafkaProducer.java:188)at kafka.producer.NewShinyProducer.<init>(BaseProducer.scala:40)at kafka.tools.ConsoleProducer$.main(ConsoleProducer.scala:45)at kafka.tools.ConsoleProducer.main(ConsoleProducer.scala)Caused by: mon.KafkaException: ng.IllegalArgumentException: Conflicting serviceName values found in JAAS and Kafka configs value in JAAS file zookeeper, value in Kafka config kafkaat work.SaslChannelBuilder.configure(SaslChannelBuilder.java:86)at work.ChannelBuilders.create(ChannelBuilders.java:70)at org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:83)at org.apache.kafka.clients.producer.KafkaProducer.<init>(KafkaProducer.java:277)... 4 moreCaused by: ng.IllegalArgumentException: Conflicting serviceName values found in JAAS and Kafka configs value in JAAS file zookeeper, value in Kafka config kafkaat mon.security.kerberos.KerberosLogin.getServiceName(KerberosLogin.java:305)at mon.security.kerberos.KerberosLogin.configure(KerberosLogin.java:103)at mon.security.authenticator.LoginManager.<init>(LoginManager.java:45)at mon.security.authenticator.LoginManager.acquireLoginManager(LoginManager.java:68)at work.SaslChannelBuilder.configure(SaslChannelBuilder.java:78)... 7 more[kafka@DCP16 bin]$ ./kafka-console-producer --broker-list DCP16:9092 --topic topicin050511 --producer.config ../etc/kafka/producer.properties2.3 消费时报错: ERROR Unknown error when running consumer: (kafka.tools.ConsoleConsumer$)[root@DCP16 bin]# ./kafka-console-consumer --zookeeper dcp18:2181,dcp16:2181,dcp19:2181/kafkakerberos --from-beginning --topic topicout050511 --new-consumer --consumer.config ../etc/kafka/consumer.properties --bootstrap-server DCP16 [2017-05-07 22:24:37,479] ERROR Unknown error when running consumer: (kafka.tools.ConsoleConsumer$)mon.KafkaException: Failed to construct kafka consumerat org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:702)at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:587)at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:569)at kafka.consumer.NewShinyConsumer.<init>(BaseConsumer.scala:53)at kafka.tools.ConsoleConsumer$.run(ConsoleConsumer.scala:64)at kafka.tools.ConsoleConsumer$.main(ConsoleConsumer.scala:51)at kafka.tools.ConsoleConsumer.main(ConsoleConsumer.scala)Caused by: mon.KafkaException: javax.security.auth.login.LoginException: Could not login: the client is being asked for a password, but the Kafka client code does not currently support obtaining a password from the user at work.SaslChannelBuilder.configure(SaslChannelBuilder.java:86)at work.ChannelBuilders.create(ChannelBuilders.java:70)at org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:83)at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:623)... 6 moreCaused by: javax.security.auth.login.LoginException: Could not login: the client is being asked for a password, but the Kafka client code does not currently support obtaining a password from the user. not available to garner authentication inform at com.sun.security.auth.module.Krb5LoginModule.promptForPass(Krb5LoginModule.java:899)at com.sun.security.auth.module.Krb5LoginModule.attemptAuthentication(Krb5LoginModule.java:719)at com.sun.security.auth.module.Krb5LoginModule.login(Krb5LoginModule.java:584)at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)at ng.reflect.Method.invoke(Method.java:606)at javax.security.auth.login.LoginContext.invoke(LoginContext.java:762)at javax.security.auth.login.LoginContext.access$000(LoginContext.java:203)at javax.security.auth.login.LoginContext$4.run(LoginContext.java:690)at javax.security.auth.login.LoginContext$4.run(LoginContext.java:688)at java.security.AccessController.doPrivileged(Native Method)at javax.security.auth.login.LoginContext.invokePriv(LoginContext.java:687)at javax.security.auth.login.LoginContext.login(LoginContext.java:595)at mon.security.authenticator.AbstractLogin.login(AbstractLogin.java:69)at mon.security.kerberos.KerberosLogin.login(KerberosLogin.java:110)at mon.security.authenticator.LoginManager.<init>(LoginManager.java:46)at mon.security.authenticator.LoginManager.acquireLoginManager(LoginManager.java:68)at work.SaslChannelBuilder.configure(SaslChannelBuilder.java:78)衍⽣问题:kafka⽣产消息就会报错：[2017-05-07 23:17:16,240] ERROR Error when sending message to topic topicin050511 with key: null, value: 0 bytes with error: (org.apache.kafka.clients.producer.internals.ErrorLoggingCallback)mon.errors.TimeoutException: Failed to update metadata after 60000 ms.把KafkaClient更改为如下的配置，就可以了：KafkaClient {com.sun.security.auth.module.Krb5LoginModule requireduseTicketCache=true;};0x03消费者报错3.1 第⼀种错误：replication factor: 1 larger than available brokers: 0消费时报错：Error while executing topic command : replication factor: 1 larger than available brokers: 0解决办法：/confluent-3.0.0/bin 下重启daemon./kafka-server-stop -daemon ../etc/kafka/server.properties./kafka-server-start -daemon ../etc/kafka/server.properties然后zk重启;sh zkCli.sh -server ai186;/usr/hdp/2.4.2.0-258/zookeeper/bin/zkCli.sh --脚本的⽬录如果还报错，可以查看配置⽂件中下⾯的配置：zookeeper.connect=dcp18:2181/kafkakerberos； --是group名称3.2 第⼆种错误：TOPIC_AUTHORIZATION_FAILED./bin/kafka-console-consumer --zookeeper DCP185:2181,DCP186:2181,DCP187:2181/kafka --from-beginning --topic wangjuan_topic1 --new-consumer --consumer.config ./etc/kafka/consumer.properties --bootstrap-server DCP187:9092 [2017-03-02 13:44:38,398] WARN The configuration zookeeper.connection.timeout.ms = 6000 was supplied but isn't a known config. (org.apache.kafka.clients.consumer.ConsumerConfig)[2017-03-02 13:44:38,575] WARN Error while fetching metadata with correlation id 1 : {wangjuan_topic1=TOPIC_AUTHORIZATION_FAILED} (workClient)[2017-03-02 13:44:38,677] WARN Error while fetching metadata with correlation id 2 : {wangjuan_topic1=TOPIC_AUTHORIZATION_FAILED} (workClient)[2017-03-02 13:44:38,780] WARN Error while fetching metadata with correlation id 3 : {wangjuan_topic1=TOPIC_AUTHORIZATION_FAILED} (workClient)解决⽅法：配置⽂件中下⾯的参数中的User的U必须是⼤写；ers=User:kafka或者有可能是server.properties中的adver.listen的IP是不对的，有可能是代码中写死的IP；3.3 第三种错误的可能的解决⽅法：⽆法消费，则查看kafka的启动⽇志中的报错信息：⽇志⽂件的所属组不对，应该是hadoop；或者，查看kafka对应的zookeeper的配置后缀，是否已经更改，如果更改了，则topic需要重新⽣成才⾏；3.4 第四种错误：消费的tomcat报错[2017-04-01 06:37:21,823] [INFO] [Thread-5] [AbstractCoordinator.java line:542] Marking the coordinator DCP187:9092 (id: 2147483647 rack: null) dead for group test-consumer-group[2017-04-01 06:37:21,825] [WARN] [Thread-5] [ConsumerCoordinator.java line:476] Auto offset commit failed for group test-consumer-group: Commit offsets failed with retriable exception. You should retry committing offsets.更改代码中，tomcat的⼼跳超时时间如下：没有改之前的:;./webapps/web/WEB-INF/classes/com/ai/bdx/dcp/hadoop/service/impl/DCPKafkaConsumer.class;重启后，⽇志中显⽰：[2017-04-01 10:14:56,167] [INFO] [Thread-5] [AbstractCoordinator.java line:542] Marking the coordinator DCP187:9092 (id: 2147483647 rack: null) dead for group test-consumer-group[2017-04-01 10:14:56,286] [INFO] [Thread-5] [AbstractCoordinator.java line:505] Discovered coordinator DCP187:9092 (id: 2147483647 rack: null) for group test-consumer-group.0x04 创建topic时错误创建topic时报错：[2017-04-10 10:32:23,776] WARN SASL configuration failed: javax.security.auth.login.LoginException: Checksum failed Will continue connection to Zookeeper server without SASL authentication, if Zookeeper server allows it. (org.apache.zooke Exception in thread "main" org.I0Itec.zkclient.exception.ZkAuthFailedException: Authentication failureat org.I0Itec.zkclient.ZkClient.waitForKeeperState(ZkClient.java:946)at org.I0Itec.zkclient.ZkClient.waitUntilConnected(ZkClient.java:923)at org.I0Itec.zkclient.ZkClient.connect(ZkClient.java:1230)at org.I0Itec.zkclient.ZkClient.<init>(ZkClient.java:156)at org.I0Itec.zkclient.ZkClient.<init>(ZkClient.java:130)at kafka.utils.ZkUtils$.createZkClientAndConnection(ZkUtils.scala:75)at kafka.utils.ZkUtils$.apply(ZkUtils.scala:57)at kafka.admin.TopicCommand$.main(TopicCommand.scala:54)at kafka.admin.TopicCommand.main(TopicCommand.scala)问题定位：是jaas⽂件有问题：解决⽅法：server.properties⽂件中的er要和jaas⽂件中的keytab的principle⼀致；server.properties:ers=User:clientkafka_server_jaas.conf⽂件改为：KafkaServer {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=trueuseTicketCache=falseserviceName=kafkakeyTab="/data/data1/confluent-3.0.0/kafka.keytab"principal="kafka@";};KafkaClient {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=truekeyTab="/home/client/client.keytab"principal="client/DCP187@";};Client {com.sun.security.auth.module.Krb5LoginModule requireduseKeyTab=truestoreKey=trueuseTicketCache=falseserviceName=zookeeperkeyTab="/home/client/client.keytab"principal="client/DCP187@";};。

第一部分、计算机算法常用术语中英对照Data Structures 基本数据结构?Dictionaries 字典?Priority Queues 堆?Graph Data Structures 图?Set Data Structures 集合?Kd-Trees 线段树?Numerical Problems 数值问题?Solving Linear Equations 线性方程组?Bandwidth Reduction 带宽压缩?Matrix Multiplication 矩阵乘法?Determinants and Permanents 行列式?Constrained and Unconstrained Optimization 最值问题? Linear Programming 线性规划?Random Number Generation 随机数生成?Factoring and Primality Testing 因子分解/质数判定? Arbitrary Precision Arithmetic 高精度计算?Knapsack Problem 背包问题? Discrete Fourier Transform 离散Fourier变换? Combinatorial Problems 组合问题?Sorting 排序?Searching 查找?Median and Selection 中位数?Generating Permutations 排列生成? Generating Subsets 子集生成?Generating Partitions 划分生成?Generating Graphs 图的生成?Calendrical Calculations 日期?Job Scheduling 工程安排?Satisfiability 可满足性?Graph Problems -- polynomial 图论-多项式算法? Connected Components 连通分支? Topological Sorting 拓扑排序?Minimum Spanning Tree 最小生成树?Shortest Path 最短路径?Transitive Closure and Reduction 传递闭包?Matching 匹配?Eulerian Cycle / Chinese Postman Euler回路/中国邮路? Edge and Vertex Connectivity 割边/割点?Network Flow 网络流?Drawing Graphs Nicely 图的描绘?Drawing Trees 树的描绘?Planarity Detection and Embedding 平面性检测和嵌入? Graph Problems -- hard 图论-NP问题?Clique 最大团?Independent Set 独立集?Vertex Cover 点覆盖?Traveling Salesman Problem 旅行商问题? Hamiltonian Cycle Hamilton回路?Graph Partition 图的划分?Vertex Coloring 点染色?Edge Coloring 边染色?Graph Isomorphism 同构?Steiner Tree Steiner树? Feedback Edge/Vertex Set 最大无环子图? Computational Geometry 计算几何? Convex Hull 凸包?Triangulation 三角剖分?Voronoi Diagrams Voronoi图?Nearest Neighbor Search 最近点对查询? Range Search 范围查询?Point Location 位置查询?Intersection Detection 碰撞测试?Bin Packing 装箱问题?Medial-Axis Transformation 中轴变换? Polygon Partitioning 多边形分割? Simplifying Polygons 多边形化简?Shape Similarity 相似多边形?Motion Planning 运动规划?Maintaining Line Arrangements 平面分割? Minkowski Sum Minkowski和?Set and String Problems 集合与串的问题?Set Cover 集合覆盖?Set Packing 集合配置?String Matching 模式匹配?Approximate String Matching 模糊匹配?Text Compression 压缩?Cryptography 密码?Finite State Machine Minimization 有穷自动机简化? Longest Common Substring 最长公共子串? Shortest Common Superstring 最短公共父串? DP——Dynamic Programming——动态规划? recursion ——递归?第二部分、编程词汇?A2A integration A2A整合?abstract 抽象的?abstract base class (ABC)抽象基类?abstract class 抽象类?abstraction 抽象、抽象物、抽象性? access 存取、访问?access level访问级别?access function 访问函数?account 账户?action 动作?activate 激活?active 活动的?actual parameter 实参?adapter 适配器?add-in 插件?address 地址?address space 地址空间?address-of operator 取地址操作符?ADL (argument-dependent lookup)?ADO(ActiveX Data Object)ActiveX数据对象? advancedaggregation 聚合、聚集?algorithm 算法?alias 别名?align 排列、对齐?allocate 分配、配置?allocator分配器、配置器?angle bracket 尖括号?annotation 注解、评注?API (Application Programming Interface) 应用(程序)编程接口?app domain (application domain)应用域?application 应用、应用程序?application framework 应用程序框架?appearance 外观?append 附加?architecture 架构、体系结构?archive file 归档文件、存档文件?argument引数(传给函式的值)。

DATASHEET OverviewECO has become a critical and growing component of the chip implementation mainly driven by rapidly increasing signoff scenarios and physical complexity at advanced nodes. It is already consuming 25-50% of the overall design schedule. This is caused by high number of iterations between P&R tools and ECO tools due to poor Physical/ timing correlation. On the other hand the ECO runs are highly compute intensive requiring very large number of high-capacity machines.PrimeECO™ is the industry’s first signoff-driven ECO closure solution that achieves signoff closure in a single cockpit.Design Closure SystemPrimeECO™ enables 5X faster single-machine design closure by uniquely combining the efficiency to manage unlimited signoff scenario views with the scalability of incrementally enabled, integrated physical implementation and signoff capabilities, eliminating the costly iteration between implementation and signoff.Single-boxECOMachine LearningClient ServerRelationshipLayer Promotion Worst case IR-dropInstancePrimeECO is the only ECO closure system using Primetime STA and productionP&R engines that results in fewer ECO iterations PrimeECOSingle-Machine Multi-Scenario Closure with Hybrid Timing ViewThe PrimeECO solution features an innovative, machine-learning driven Hybrid Timing View technology that addresses the increasing signoff scenarios by predicting optimal trade-offs between required compute resource and desired timing accuracy. The Hybrid Timing View deploys PrimeTime® signoff engine for real-time updates on accuracy-critical scenarios, while ensuring complete visibility on coverage-critical scenarios through efficient static views. The outstanding efficiency of Hybrid Timing View enables thousands of timing scenarios to be loaded onto a single box, eliminating the need for large number of compute resources typically required for signoff coverage.Common Data Model with Fusion Design PlatformTo further eliminate design iterations, the PrimeECO solution is architected on the Synopsys Fusion Design™ Platform, the world’s first artificial-intelligence (AI) enhanced, cloud-ready design platform, with direct access to incrementally enabled placement, routing, extraction, physical verification and signoff technologies from Synopsys’ market-leading portfolio of solutions, includingIC Compiler™ II, Fusion Compiler™, IC Validator, StarRC™, PrimeTime, PrimePower, and PrimeYield. Within this single-environment design closure cockpit, not only is every change fully implemented and validated, but it also creates new opportunities for placement, routing, and timing co-optimization to achieve power, performance and area (PPA) results previously impossible in traditional design closure flows.Unique Graphical User Interface with Exclusive Signoff Timing OverlayThe PrimeECO solution is the industry’s only design closure solution with access to PrimeTime golden signoff results. An intuitive cockpit provides a unique graphical user interface to overlay Hybrid Timing View on design visualization for final touch-ups, including an open database interface available to custom scripts for user-driven optimization. The exclusive PrimeECO solution is available to all designers innovating on the Fusion Design Platform as well as industry-standard DEF databases.BenefitsThe PrimeECO solution is the only ECO closure solution with production timing and P&R engines. Here is the summary of benefits:• Signoff accuracy with access to PrimeTime golden signoff results• Full chip capacity—Can process blocks, subchips as well as chip level ECO• Support for signoff scenarios—Hundreds of scenarios handled efficiently with its Hybrid view feature• Complete ECO jobs with less compute resource—2-5X Less number of cores required and 2-5X less memory permachine required• Superior ECO QoR (fix-rates) with timing-P&R co-optimization capability• Fewer ECO iterations using production P&R engines• Incremental ECOOS Platform SupportPrimeECO supports:• RHEL 6.6+, 7.x, 8+• CentOS 6.6+, 7.1.1503+, 8+• SLES 12+, 15+See the Synopsys Release Specific Support documents for further details.©2020 Synopsys, Inc. All rights reserved. Synopsys is a trademark of Synopsys, Inc. in the United States and other countries. A list of Synopsys trademarks isavailable at /copyright.html . All other names mentioned herein are trademarks or registered trademarks of their respective owners.10/23/20.CS583528002-DG-PrimeECO DS.。

1 各个文件夹的关系说明图下图中设计到的文件夹最好都手动创建。

特别是switch 下的二级目录不要忘了手动创建。

logrunlogsabg运行monitor 工作目录运行sla 工作目录runloglogfilelogbak bg运行switch 工作目录ftpbaklogslalogslogbbggbg每6分钟分发探测任务monitor 运行结束Sla 运行结束Switch 运行结束Slatasklist.txtbg一小时运行一次调用关系生成的目标文件原始文件变形移动不用的文件输入的数据源原始文件的拷贝图 1 Monitor ，switch ，sla 的调用关系及各文件夹之间的关系2 monitor v3.0 prime体系目录配置说明为了方便查看，minitor ，switch，sla 最好都配置在/fgn/primebench目录下，需要上传的数据的目录是，1 /fgn/primebench/monitor/log/a目录下后缀为.log文件。

2.. /fgn/primebench/switch/ftp目录下后缀名为.slalog文件。

3. /fgn/primebench/sla/selfcdn/b/目录下后缀为.sla文件。

4. /fgn/primebench/switch/baklog/b目录下.log.bak文件总的目录结构如下图2所示，各级目录下的分目录参照上图1所示。

primebenchmonitor switch sla各目录下的配置参照图 1图 2 Self_service_cdn 目录配置结构2.1 monitor 配置文件说明elenum=10log_path=/fgn/primebench/monitor/loglog_name=CNC-BJ-1runlogs=/fgn/primebench/monitor/runlogswebsite_file=/fgn/primebench/monitor/urllist.txtslatask_file=/fgn/primebench/monitor/slatask.txtslatask_url=/module/sitemanage/slashowtask.phpwork_path=/fgn/primebench/monitornode_name=beijing_cncconfig_url=/module/sitemanage/showsite4.php?n=beijing_cnc timeout=10runtimeout=330max_thread_num=82.2 switch 配置文件说明<minute>6</minute><dns_percent>5</dns_percent><dns_file>/fgn/switch1.1/instantdns/instant.dig</dns_file><region>rg_BeiJing_CNC</region><idc_type>CNC</idc_type><src_log_path>/fgn/primebench/monitor/log/b</src_log_path><src_log_grouppath>/fgn/primebench/monitor/log/g</src_log_grouppath><log_path_b>/fgn/primebench/switch/log/b/</log_path_b><log_path_g>/fgn/primebench/switch/log/g</log_path_g><ftp_path>/fgn/primebench/switch/ftp</ftp_path><baklog_path_b>/fgn/primebench/switch/baklog/b</baklog_path_b><baklog_path_g>/fgn/primebench/switch/baklog/g</baklog_path_g><last_switch_file_b>/fgn/primebench/switch/b_history.log</last_switch_file_b><last_switch_file_g>/fgn/primebench/switch/g_history.log</last_switch_file_g><server_ip>116.213.92.68</server_ip><server_port>8010</server_port><runlog_file_prefix>fgn_switch</runlog_file_prefix><runlog_error_file_prefix>fgn_switch_error</runlog_error_file_prefix><slalog_path>/fgn/primebench/switch/slalog/</slalog_path><slatask_path>/fgn/primebench/monitor/slatask.txt</slatask_path><runlog_path>/fgn/primebench/switch/</runlog_path>2.3 sla配置文件说明log_path_b=/fgn/primebench/switch/slalog/b/log_path_g=/fgn/primebench/switch/slalog/g/sla_runlog_path=/fgn/primebench/sla/runlog/logbak_path_b=/fgn/primebench/sla/logbak/b/logbak_path_g=/fgn/primebench/sla/logbak/g/sla_log_path_b=/fgn/primebench/sla/selfcdnlog/b/sla_log_path_g=/fgn/primebench/sla/selfcdnlog/g/node_name=CNC-BEIJING-1minute=6log_b_suffix=slalog_g_suffix=log3 monitor v3 21vianet体系目录配置说明为了方便查看，minitor ，switch 都配置在/fgn/21vinetbench/目录下，需要上传的数据目录是： 1 /fgn/21vianetbench/monitor/log/a目录下后缀为.log文件。

Prime算法的简述前⾯在介绍并查集时顺便提了Kruskal算法，既然已经说到了最⼩⽣成树问题，就没有道理不把Prime算法说了。

这⾥⾯先补充下Kruskal算法的⼤概意思，Kruskal算法通过把所有的边从⼩到⼤排列后，不断取权值最⼩的边加⼊最⼩⽣成树（起初可能是离散的多个树，最终连成⼀个整体），并通过并查集来舍弃形成回路的边。

Prime算法有所不同，Prime算法先将⼀个起点加⼊最⼩⽣成树，之后不断寻找与最⼩⽣成树相连的边权最⼩的边能通向的点，并将其加⼊最⼩⽣成树，是⼀种更符合⼈的主观直觉的最⼩⽣成树算法。

需要注意的是，Kruskal和Prime都仅适⽤于⽆向图。

#include <algorithm>const int MAX_V = 100;const int INF = 1000000;int cost[MAX_V][MAX_V];//图int V;bool path[MAX_V][MAX_V];//记录结果int res;bool used[MAX_V];//表⽰是否访问过int mincost[MAX_V];//表⽰到此点消耗值void Prime(){res = 0;//统计最⼩消耗for (int i = 0;i < V;++i)//初始化{used[i] = false;mincost[i] = INF;for (int j = 0;j < V;++j){path[i][j] = false;}}mincost[0] = 0;//从0点开始int prev = 0;//记录路径while (true){int visited = -1;for (int i = 0;i < V;++i){if (!used[i] && (visited == -1 || mincost[i] < mincost[visited])) visited = i;//贪婪寻找最短边}if (visited == -1) break;used[visited] = true;if (visited){path[prev][visited] = true;prev = visited;}res += mincost[visited];for (int i = 0;i < V;++i){mincost[i] = std::min(mincost[i], cost[visited][i]);}}}下⾯给出⼀组Kruskal和Prime的测试数据及结果：测试代码：void mstTest(){cin >> V;for (int i = 0;i < V;++i)for (int j = 0;j < V;++j){cin >> cost[i][j];}for (int i = 0;i < V;++i) d[i] = INF;cout << "Kruskal:" << endl;Kruskal();for (int i = 0;i < V;++i){for (int j = 0;j < V;++j){if (path[i][j]) cout << i << "" << j << endl;}}cout << res << endl;cout << endl;cout << "Prime" << endl;Prime();for (int i = 0;i < V;++i){for (int j = 0;j < V;++j){if (path[i][j]) cout << i << "" << j << endl;}}cout << res << endl;}测试结果：91000000 1 5 7 4 1000000 1000000 1000000 10000001 1000000 1000000 1000000 1000000 3 10 1000000 10000005 1000000 1000000 1000000 1000000 2 1000000 2 10000007 1000000 1000000 1000000 1000000 1000000 1 1000000 10000004 1000000 1000000 1000000 1000000 1000000 1000000 3 1000000 1000000 3 2 1000000 1000000 1000000 1000000 1000000 21000000 10 1000000 1 1000000 1000000 1000000 1000000 91000000 1000000 2 1000000 3 1000000 1000000 1000000 51000000 1000000 1000000 1000000 1000000 2 9 5 1000000Kruskal:0 10 31 52 52 73 64 75 821Prime0 11 52 73 64 35 27 88 421请按任意键继续. . .可以看到，两种算法⽣成了拥有相同最⼩消耗的两颗完全不同的最⼩⽣成树。

中央文献重要术语译文发布区域协同发展coordinated development betweenregions城乡发展一体化urban-rural integration物质文明和精神文明协调发展ensure that cultural-ethical andmaterial development progress together 军民融合发展战略military-civilian integration strategy经济建设和国防建设融合发展integrated development of the economyand national defense京津冀协同发展coordinated development of the Beijing,Tianjin, and Hebei region综合立体交通走廊multimodal transport corridor居住证制度residence card system财政转移支付同农业转移人口市民化挂钩机制mechanism linking the transfer payments a local government receives to the number of former rural residents granted urban residency in its jurisdiction城镇建设用地增加规模同吸纳农业转移人口落户数量挂钩机制mechanism linking increases in the amount of land designated for urban development in a locality to the number of former rural residents granted urban residency there中国特色新型智库new type of Chinese think tanks马克思主义理论研究和建设工程Marxist Theory Research and DevelopmentProject哲学社会科学创新工程initiative to promote innovation inphilosophy and the social sciences网络内容建设工程initiative to enrich online content 农村人居环境整治行动rural living environment improvementinitiative历史文化名村名镇towns and villages with rich historicaland cultural heritage美丽宜居乡村 a countryside that is beautiful andpleasant to live in中文英文全面建成小康社会决胜阶段theprosperous society in all respects欢迎您的下载，资料仅供参考！致力为企业和个人提供合同协议，策划案计划书，学习资料等等打造全网一站式需求。