虫洞人工智能训练处理器

2022 IEEE International Solid- State Circuits Conference (ISSCC) Pub Date : 2022-02-20 DOI:10.1109/ISSCC42614.2022.9731633

Dragoljub Ignjatovic, Daniel W. Bailey, Ljubisa Bajić

{"title":"虫洞人工智能训练处理器","authors":"Dragoljub Ignjatovic, Daniel W. Bailey, Ljubisa Bajić","doi":"10.1109/ISSCC42614.2022.9731633","DOIUrl":null,"url":null,"abstract":"Deep-Learning Artificial Intelligence is a hot and growing field, requiring a challenging mix of performance, power efficiency, programmability, scalability, and low price. Wormhole is an AI training processor directly targeted at this field, designed for high performance (TOPS and TFLOPS), software enablement, extreme scalability, and high performance-per-watt-per-dollar.","PeriodicalId":6830,"journal":{"name":"2022 IEEE International Solid- State Circuits Conference (ISSCC)","volume":"12 1","pages":"356-358"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The Wormhole AI Training Processor\",\"authors\":\"Dragoljub Ignjatovic, Daniel W. Bailey, Ljubisa Bajić\",\"doi\":\"10.1109/ISSCC42614.2022.9731633\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Deep-Learning Artificial Intelligence is a hot and growing field, requiring a challenging mix of performance, power efficiency, programmability, scalability, and low price. Wormhole is an AI training processor directly targeted at this field, designed for high performance (TOPS and TFLOPS), software enablement, extreme scalability, and high performance-per-watt-per-dollar.\",\"PeriodicalId\":6830,\"journal\":{\"name\":\"2022 IEEE International Solid- State Circuits Conference (ISSCC)\",\"volume\":\"12 1\",\"pages\":\"356-358\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Solid- State Circuits Conference (ISSCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCC42614.2022.9731633\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Solid- State Circuits Conference (ISSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC42614.2022.9731633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

摘要

深度学习人工智能是一个热门且不断发展的领域，需要具有挑战性的性能，功率效率，可编程性，可扩展性和低价格的组合。Wormhole是一款直接针对该领域的人工智能训练处理器，专为高性能(TOPS和TFLOPS)、软件支持、极端可扩展性和高性价比而设计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Wormhole AI Training Processor

Deep-Learning Artificial Intelligence is a hot and growing field, requiring a challenging mix of performance, power efficiency, programmability, scalability, and low price. Wormhole is an AI training processor directly targeted at this field, designed for high performance (TOPS and TFLOPS), software enablement, extreme scalability, and high performance-per-watt-per-dollar.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 IEEE International Solid- State Circuits Conference (ISSCC)

自引率

0.00%

发文量