{"title":"元计算中的一个实例研究:湍流对流混合的分布式模拟","authors":"A.E. Klietzt, A. V. Malevsky, K. Chin-Purcell","doi":"10.1109/WHP.1993.664373","DOIUrl":null,"url":null,"abstract":"Recent trends towards real-time visualization of large, 3-0 datasets have created extraordinary demands on CPU, memory, and 1/0 resources. In this paper we describe how a metacomputing environment was used to perform a volumetric analysis of mixing in thermal convection. This application was judged the “Best of the Best” in the Heterogeneous Computing Challenge competition held at Supercomputing ’92. In this paper we show how the winning application was designed and implemented. We conclude with a discussion of some future issues that researchers and vendors need to address in order to provide better environments for large heterogeneous HPC applications.","PeriodicalId":235913,"journal":{"name":"Proceedings. Workshop on Heterogeneous Processing,","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"A Case Study in Metacomputing: Distributed Simulations of Mixing in Turbulent Convection\",\"authors\":\"A.E. Klietzt, A. V. Malevsky, K. Chin-Purcell\",\"doi\":\"10.1109/WHP.1993.664373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent trends towards real-time visualization of large, 3-0 datasets have created extraordinary demands on CPU, memory, and 1/0 resources. In this paper we describe how a metacomputing environment was used to perform a volumetric analysis of mixing in thermal convection. This application was judged the “Best of the Best” in the Heterogeneous Computing Challenge competition held at Supercomputing ’92. In this paper we show how the winning application was designed and implemented. We conclude with a discussion of some future issues that researchers and vendors need to address in order to provide better environments for large heterogeneous HPC applications.\",\"PeriodicalId\":235913,\"journal\":{\"name\":\"Proceedings. Workshop on Heterogeneous Processing,\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Workshop on Heterogeneous Processing,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WHP.1993.664373\",\"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. Workshop on Heterogeneous Processing,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHP.1993.664373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Case Study in Metacomputing: Distributed Simulations of Mixing in Turbulent Convection
Recent trends towards real-time visualization of large, 3-0 datasets have created extraordinary demands on CPU, memory, and 1/0 resources. In this paper we describe how a metacomputing environment was used to perform a volumetric analysis of mixing in thermal convection. This application was judged the “Best of the Best” in the Heterogeneous Computing Challenge competition held at Supercomputing ’92. In this paper we show how the winning application was designed and implemented. We conclude with a discussion of some future issues that researchers and vendors need to address in order to provide better environments for large heterogeneous HPC applications.
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