D. Thompson, S. Jourdain, A. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, P. O’leary
{"title":"用VTK-m进行原位总结","authors":"D. Thompson, S. Jourdain, A. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, P. O’leary","doi":"10.1145/3144769.3144777","DOIUrl":null,"url":null,"abstract":"Summarization and compression at current and future scales requires a framework for developing and benchmarking algorithms. We present a framework created by integrating existing, production-ready projects and provide timings of two particular algorithms that serve as exemplars for summarization: a wavelet-based data reduction filter and a generator for creating image-like databases of extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization of the summary for decision-making. A study of their weak-scaling on a distributed multi-GPU system is included.","PeriodicalId":107517,"journal":{"name":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"In Situ Summarization with VTK-m\",\"authors\":\"D. Thompson, S. Jourdain, A. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, P. O’leary\",\"doi\":\"10.1145/3144769.3144777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summarization and compression at current and future scales requires a framework for developing and benchmarking algorithms. We present a framework created by integrating existing, production-ready projects and provide timings of two particular algorithms that serve as exemplars for summarization: a wavelet-based data reduction filter and a generator for creating image-like databases of extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization of the summary for decision-making. A study of their weak-scaling on a distributed multi-GPU system is included.\",\"PeriodicalId\":107517,\"journal\":{\"name\":\"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3144769.3144777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3144769.3144777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Summarization and compression at current and future scales requires a framework for developing and benchmarking algorithms. We present a framework created by integrating existing, production-ready projects and provide timings of two particular algorithms that serve as exemplars for summarization: a wavelet-based data reduction filter and a generator for creating image-like databases of extracted features (isocontours in this case). Both support browser-based, post-hoc, interactive visualization of the summary for decision-making. A study of their weak-scaling on a distributed multi-GPU system is included.
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