老石谈芯的个人主页 - 老虎社区

老石谈芯

老石谈芯认证个人

老虎认证：探讨芯片问题的本质

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07-03

离开英特尔三年，他们竟在北京搞了个「博物馆」？！

离开英特尔三年，他们竟在北京搞了个「博物馆」？！

07-02

在德国参加RISC-V峰会，我看到芯片未来

在德国参加RISC-V峰会，我看到芯片未来

06-30

既然GPU这么牛，为什么不把所有芯片都换成它？揭秘AMD黑科技如何加速科学计算

既然GPU这么牛，为什么不把所有芯片都换成它？揭秘AMD黑科技如何加速科学计算

06-29

既然AI这么火，如何帮我们打工人挣钱？

既然AI这么火，如何帮我们打工人挣钱？

06-15

八巨头联手硬控英伟达！老黄慌了吗？

八巨头联手硬控英伟达！老黄慌了吗？

05-13

用大模型保存你的全部人生，你会接受吗：专访安克创新CEO阳萌 | 大咖谈芯第11期

用大模型保存你的全部人生，你会接受吗：专访安克创新CEO阳萌 | 大咖谈芯第11期

05-11

大模型解决不了英伟达的难题，AI新范式必将出现：专访安克创新CEO阳萌

大模型解决不了英伟达的难题，AI新范式必将出现：专访安克创新CEO阳萌

05-02

我花XX万买的顶级板卡，竟然过时了？！

我花XX万买的顶级板卡，竟然过时了？！

04-20

一颗CPU芯片卖十万！AMD到底凭什么？

一颗CPU芯片卖十万！AMD到底凭什么？

04-18

还不会联系导师？这样发邮件，建议直接录取！读研上岸必看

还不会联系导师？这样发邮件，建议直接录取！读研上岸必看

04-13

最适合初学者的FPGA？ZUBoard上手评测+保姆级教程+学习路线分享！

最适合初学者的FPGA？ZUBoard上手评测+保姆级教程+学习路线分享！

04-03

AMD又看到了一个新机会？「万能芯片」在AI时代的独特优势

AMD又看到了一个新机会？「万能芯片」在AI时代的独特优势

03-27

我采访了苏妈！| 专访AMD CEO Lisa Su【大咖谈芯09】

我采访了苏妈！| 专访AMD CEO Lisa Su【大咖谈芯09】

03-24

2023年改变我人生的四个思维方式，2024一切顺利！和下面的视频一起服用，效果更佳：改变我人生的10个思维 ... From Youtube: https://www.youtube.com/watch?v=UEVlcKeVfDA

病了一个月，我想明白了四件事

03-21

七万亿造芯！OpenAI能否成为下一个英伟达？

七万亿造芯！OpenAI能否成为下一个英伟达？

03-18

在深圳参加芯片大会，我看到芯片未来已来

在深圳参加芯片大会，我看到芯片未来已来

01-20

当AI开始设计芯片，阁下该如何应对？

当AI开始设计芯片，阁下该如何应对？

01-06

不是大模型卷不起，而是应用更有性价比 | 百度百舸/千帆深度解析

不是大模型卷不起，而是应用更有性价比 | 百度百舸/千帆深度解析

2023-12-15

老黄站台！「默默努力」的亚马逊云科技，像极了我的学霸同学

老黄站台！「默默努力」的亚马逊云科技，像极了我的学霸同学

2023-11-28

“科技永远充满机会”Kria SOM如何改变FPGA的工业应用：专访AMD高级总监Chetan Khona | 大咖谈芯第8期

“科技永远充满机会”Kria SOM如何改变FPGA的工业应用：专访AMD高级总监Chetan Khona | 大咖谈芯第8期

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Silicon的第一代产品：M1芯片。首批搭载M1芯片的Mac机器共有三款：MacBook Air、13寸MacBook Pro和MacMini。不管是发布会上公布的性能提升，还是这几天关于这几款机器的实际评测纷纷出炉，M1芯片的性能和功耗完全超出人们预期，用“颠覆”来形容也不为过。<a href=\"https://laohu8.com/S/AAPL\">$苹果(AAPL)$</a> 今天的文章就来聊聊苹果的M1芯片。我想从芯片设计的角度，和大家一起看看M1芯片为何如此牛逼的三个主要原因。 芯片设计的PPA优化 在设计芯片的时候，一个最重要的原则就是对PPA的优化，也就是尽可能的优化芯片的功耗（Power）、性能（Performance）和面积（Area）。通常情况下，这三点不能兼得。 比如，为了提升芯片的性能，我们可以加入多级流水线、增加总线宽度、或者增加各种硬核处理单元，但此时就很有可能会付出更高的功耗、以及更大的芯片面积作为代价。反之，如果我们想要设计低功耗的芯片，那也很有可能需要牺牲一部分芯片的性能。所以在实际工程实践中，功耗、性能和面积往往都是相互折中、互相平衡的关系。对于一个芯片来说，没有完美的设计，只有完美的平衡。这就像给你有限的预算去买食材做菜，那就很难既买到鱼，又买到熊掌。 但是这次苹果M1芯片的发布，给人最直观的感受就是，在预算不变的情况下，你可以鱼和熊掌，两者兼得。 苹果在发布会里放出了这张图，它比较的是M1芯片和某个笔记本的CPU，但苹果没说是谁。为了方便叙述，这里姑且叫它“张三芯片”。在这张图里，横轴是功耗，纵轴是性能。可以看到，对于一个给定的功耗标准，M1的性能是张三的两倍。对于一个给定的性能要求，M1的功耗是张三的四分之一。 也就是说，在高性能和低","listText":"11月11日，苹果今年的发布会三部曲终于落下了帷幕。这场压轴大戏上，发布了苹果自研芯片Apple Silicon的第一代产品：M1芯片。首批搭载M1芯片的Mac机器共有三款：MacBook Air、13寸MacBook Pro和MacMini。不管是发布会上公布的性能提升，还是这几天关于这几款机器的实际评测纷纷出炉，M1芯片的性能和功耗完全超出人们预期，用“颠覆”来形容也不为过。<a href=\"https://laohu8.com/S/AAPL\">$苹果(AAPL)$</a> 今天的文章就来聊聊苹果的M1芯片。我想从芯片设计的角度，和大家一起看看M1芯片为何如此牛逼的三个主要原因。 芯片设计的PPA优化 在设计芯片的时候，一个最重要的原则就是对PPA的优化，也就是尽可能的优化芯片的功耗（Power）、性能（Performance）和面积（Area）。通常情况下，这三点不能兼得。 比如，为了提升芯片的性能，我们可以加入多级流水线、增加总线宽度、或者增加各种硬核处理单元，但此时就很有可能会付出更高的功耗、以及更大的芯片面积作为代价。反之，如果我们想要设计低功耗的芯片，那也很有可能需要牺牲一部分芯片的性能。所以在实际工程实践中，功耗、性能和面积往往都是相互折中、互相平衡的关系。对于一个芯片来说，没有完美的设计，只有完美的平衡。这就像给你有限的预算去买食材做菜，那就很难既买到鱼，又买到熊掌。 但是这次苹果M1芯片的发布，给人最直观的感受就是，在预算不变的情况下，你可以鱼和熊掌，两者兼得。 苹果在发布会里放出了这张图，它比较的是M1芯片和某个笔记本的CPU，但苹果没说是谁。为了方便叙述，这里姑且叫它“张三芯片”。在这张图里，横轴是功耗，纵轴是性能。可以看到，对于一个给定的功耗标准，M1的性能是张三的两倍。对于一个给定的性能要求，M1的功耗是张三的四分之一。 也就是说，在高性能和低","text":"11月11日，苹果今年的发布会三部曲终于落下了帷幕。这场压轴大戏上，发布了苹果自研芯片Apple Silicon的第一代产品：M1芯片。首批搭载M1芯片的Mac机器共有三款：MacBook Air、13寸MacBook Pro和MacMini。不管是发布会上公布的性能提升，还是这几天关于这几款机器的实际评测纷纷出炉，M1芯片的性能和功耗完全超出人们预期，用“颠覆”来形容也不为过。$苹果(AAPL)$ 今天的文章就来聊聊苹果的M1芯片。我想从芯片设计的角度，和大家一起看看M1芯片为何如此牛逼的三个主要原因。 芯片设计的PPA优化 在设计芯片的时候，一个最重要的原则就是对PPA的优化，也就是尽可能的优化芯片的功耗（Power）、性能（Performance）和面积（Area）。通常情况下，这三点不能兼得。 比如，为了提升芯片的性能，我们可以加入多级流水线、增加总线宽度、或者增加各种硬核处理单元，但此时就很有可能会付出更高的功耗、以及更大的芯片面积作为代价。反之，如果我们想要设计低功耗的芯片，那也很有可能需要牺牲一部分芯片的性能。所以在实际工程实践中，功耗、性能和面积往往都是相互折中、互相平衡的关系。对于一个芯片来说，没有完美的设计，只有完美的平衡。这就像给你有限的预算去买食材做菜，那就很难既买到鱼，又买到熊掌。 但是这次苹果M1芯片的发布，给人最直观的感受就是，在预算不变的情况下，你可以鱼和熊掌，两者兼得。 苹果在发布会里放出了这张图，它比较的是M1芯片和某个笔记本的CPU，但苹果没说是谁。为了方便叙述，这里姑且叫它“张三芯片”。在这张图里，横轴是功耗，纵轴是性能。可以看到，对于一个给定的功耗标准，M1的性能是张三的两倍。对于一个给定的性能要求，M1的功耗是张三的四分之一。 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\n \n  【英特尔逆袭英伟达？用AI设计芯片？】极度硬核预警！本期视频里，我们一起看看两个芯片领域的最新进展。一个是人工智能芯片峰值算力和实际算力的对比，以及传统芯片针对AI应用进行的架构优化；另一个是如何使用强化学习技术，提升芯片设计EDA软件的性能。同时也介绍了一些我读论文的常用技巧和方法，希望能对大家有所帮助。本期视频时间线如下：0:00 Introduction0:20 芯片领域的科学研究1:16 可编程逻辑芯片领域的四大顶级学术会议2:34 读论文的方法与技巧分享3:14 AI芯片峰值算力和实际算力的研究4:58 多核神经处理单元NPU介绍7:12 研究团队介绍7:53 如何使用强化学习技术提升EDA软件的性能9:26 芯片布局过程的科普\n \n","listText":"【英特尔逆袭英伟达？用AI设计芯片？】极度硬核预警！本期视频里，我们一起看看两个芯片领域的最新进展。一个是人工智能芯片峰值算力和实际算力的对比，以及传统芯片针对AI应用进行的架构优化；另一个是如何使用强化学习技术，提升芯片设计EDA软件的性能。同时也介绍了一些我读论文的常用技巧和方法，希望能对大家有所帮助。本期视频时间线如下：0:00 Introduction0:20 芯片领域的科学研究1:16 可编程逻辑芯片领域的四大顶级学术会议2:34 读论文的方法与技巧分享3:14 AI芯片峰值算力和实际算力的研究4:58 多核神经处理单元NPU介绍7:12 研究团队介绍7:53 如何使用强化学习技术提升EDA软件的性能9:26 芯片布局过程的科普","text":"【英特尔逆袭英伟达？用AI设计芯片？】极度硬核预警！本期视频里，我们一起看看两个芯片领域的最新进展。一个是人工智能芯片峰值算力和实际算力的对比，以及传统芯片针对AI应用进行的架构优化；另一个是如何使用强化学习技术，提升芯片设计EDA软件的性能。同时也介绍了一些我读论文的常用技巧和方法，希望能对大家有所帮助。本期视频时间线如下：0:00 Introduction0:20 芯片领域的科学研究1:16 可编程逻辑芯片领域的四大顶级学术会议2:34 读论文的方法与技巧分享3:14 AI芯片峰值算力和实际算力的研究4:58 多核神经处理单元NPU介绍7:12 研究团队介绍7:53 如何使用强化学习技术提升EDA软件的性能9:26 芯片布局过程的科普","images":[],"top":1,"highlighted":1,"essential":2,"paper":1,"likeSize":36,"commentSize":2,"repostSize":6,"link":"https://laohu8.com/post/332200311","isVote":1,"tweetType":2,"object":{"id":"9e6e27fb80d9411ea3c0e0aad51aeaf0","tweetId":"332200311","title":"【芯片前沿】英特尔的这个AI芯片，性能如何超过英伟达20倍？[A Brief Literature Review on 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百度自动驾驶：商业化之前，如何保证安全？\n 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\n \n  片工程师眼中的苹果M1 Pro/Max：王炸是如何炼成的\n \n","listText":"片工程师眼中的苹果M1 Pro/Max：王炸是如何炼成的","text":"片工程师眼中的苹果M1 Pro/Max：王炸是如何炼成的","images":[],"top":1,"highlighted":2,"essential":2,"paper":1,"likeSize":11,"commentSize":10,"repostSize":6,"link":"https://laohu8.com/post/873051449","isVote":1,"tweetType":2,"object":{"id":"d8ccb2cb47cf4ec49166a042dab7fa3e","tweetId":"873051449","title":"芯片工程师眼中的苹果M1 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