{"title":"二维地震有限差分建模的超立方体性能","authors":"L. J. Baker","doi":"10.1145/63047.63068","DOIUrl":null,"url":null,"abstract":"Wave-equation seismic modeling in two space dimensions is computationally intensive, often requiring hours of supercomputer CPU time to run typical geological models with 500 × 500 grids and 100 sources. This paper analyzes the performance of ACOUS2D, an explicit 4th-order finite-difference program, on Intel's 16-processor vector hypercube computer. The conversion of the sequential version of ACOUS2D to run on hypercube was straightforward, but time-consuming. The key consideration for optimal efficiency is load balancing. On a fairly typical geologic model, the 16-processor Intel vector hypercube computer ran ACOUS2D at 1/3 the speed of a Cray-1S.","PeriodicalId":299435,"journal":{"name":"Conference on Hypercube Concurrent Computers and Applications","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Hypercube performance for 2-D seismic finite-difference modeling\",\"authors\":\"L. J. Baker\",\"doi\":\"10.1145/63047.63068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wave-equation seismic modeling in two space dimensions is computationally intensive, often requiring hours of supercomputer CPU time to run typical geological models with 500 × 500 grids and 100 sources. This paper analyzes the performance of ACOUS2D, an explicit 4th-order finite-difference program, on Intel's 16-processor vector hypercube computer. The conversion of the sequential version of ACOUS2D to run on hypercube was straightforward, but time-consuming. The key consideration for optimal efficiency is load balancing. On a fairly typical geologic model, the 16-processor Intel vector hypercube computer ran ACOUS2D at 1/3 the speed of a Cray-1S.\",\"PeriodicalId\":299435,\"journal\":{\"name\":\"Conference on Hypercube Concurrent Computers and Applications\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference on Hypercube Concurrent Computers and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/63047.63068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Hypercube Concurrent Computers and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/63047.63068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hypercube performance for 2-D seismic finite-difference modeling
Wave-equation seismic modeling in two space dimensions is computationally intensive, often requiring hours of supercomputer CPU time to run typical geological models with 500 × 500 grids and 100 sources. This paper analyzes the performance of ACOUS2D, an explicit 4th-order finite-difference program, on Intel's 16-processor vector hypercube computer. The conversion of the sequential version of ACOUS2D to run on hypercube was straightforward, but time-consuming. The key consideration for optimal efficiency is load balancing. On a fairly typical geologic model, the 16-processor Intel vector hypercube computer ran ACOUS2D at 1/3 the speed of a Cray-1S.
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