{"title":"高性能洞察从GPU版本CatBoost","authors":"Vasily Ershov","doi":"10.32603/2071-2340-2022-2-59-73","DOIUrl":null,"url":null,"abstract":"In this paper we discus GPU implementation of open-sourced gradient boosting library CatBoost. This implementation shows the state-of-the-art performance among openly-available libraries and we want to share design insights and used algorithms.","PeriodicalId":319537,"journal":{"name":"Computer Tools in Education","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High performance Insights from GPU version CatBoost\",\"authors\":\"Vasily Ershov\",\"doi\":\"10.32603/2071-2340-2022-2-59-73\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we discus GPU implementation of open-sourced gradient boosting library CatBoost. This implementation shows the state-of-the-art performance among openly-available libraries and we want to share design insights and used algorithms.\",\"PeriodicalId\":319537,\"journal\":{\"name\":\"Computer Tools in Education\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Tools in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32603/2071-2340-2022-2-59-73\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Tools in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32603/2071-2340-2022-2-59-73","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High performance Insights from GPU version CatBoost
In this paper we discus GPU implementation of open-sourced gradient boosting library CatBoost. This implementation shows the state-of-the-art performance among openly-available libraries and we want to share design insights and used algorithms.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
