{"title":"面向数字人文、艺术和社会科学的高性能计算:适应大数据的学术高性能计算的需求和挑战","authors":"Kalev H. Leetaru","doi":"10.1109/eScience.2012.6404439","DOIUrl":null,"url":null,"abstract":"This paper examines the needs of emerging applications of High Performance Computing by the Humanities, Arts, and Social Sciences (HASS) disciplines and presents a vision for how the current academic HPC environment could be adapted to better serve this new class of “big data” research.","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":"107 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Towards HPC for the digital Humanities, Arts, and Social Sciences: Needs and challenges of adapting academic HPC for big data\",\"authors\":\"Kalev H. Leetaru\",\"doi\":\"10.1109/eScience.2012.6404439\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the needs of emerging applications of High Performance Computing by the Humanities, Arts, and Social Sciences (HASS) disciplines and presents a vision for how the current academic HPC environment could be adapted to better serve this new class of “big data” research.\",\"PeriodicalId\":6364,\"journal\":{\"name\":\"2012 IEEE 8th International Conference on E-Science\",\"volume\":\"107 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 8th International Conference on E-Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/eScience.2012.6404439\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 8th International Conference on E-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2012.6404439","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards HPC for the digital Humanities, Arts, and Social Sciences: Needs and challenges of adapting academic HPC for big data
This paper examines the needs of emerging applications of High Performance Computing by the Humanities, Arts, and Social Sciences (HASS) disciplines and presents a vision for how the current academic HPC environment could be adapted to better serve this new class of “big data” research.