{"title":"MPIIMGEN——一个代码转换器，它将图像处理代码并行化，以便在工作站集群上运行","authors":"U. V. Vinod, P. K. Baruah","doi":"10.1109/CLUSTR.2004.1392596","DOIUrl":null,"url":null,"abstract":"An enormous body of image and video processing software has been written for conventional (sequential) desktop computers. These implement a wide range of operations, such as convolution, histogram equalization and template matching. These applications usually have a tremendous potential for parallelism. However a significant barrier in exploiting such parallelism is the difficulty of writing parallel software. In this work, the design and implementation of MPIIMGEN -- a code transformer that automatically transforms these sequential image processing codes into parallel codes that are capable of running on a cluster of workstations is presented. This tool uses a pattern driven approach to parallelize the sequential codes.","PeriodicalId":123512,"journal":{"name":"2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MPIIMGEN - a code transformer that parallelizes image processing codes to run on a cluster of workstations\",\"authors\":\"U. V. Vinod, P. K. Baruah\",\"doi\":\"10.1109/CLUSTR.2004.1392596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An enormous body of image and video processing software has been written for conventional (sequential) desktop computers. These implement a wide range of operations, such as convolution, histogram equalization and template matching. These applications usually have a tremendous potential for parallelism. However a significant barrier in exploiting such parallelism is the difficulty of writing parallel software. In this work, the design and implementation of MPIIMGEN -- a code transformer that automatically transforms these sequential image processing codes into parallel codes that are capable of running on a cluster of workstations is presented. This tool uses a pattern driven approach to parallelize the sequential codes.\",\"PeriodicalId\":123512,\"journal\":{\"name\":\"2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTR.2004.1392596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTR.2004.1392596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MPIIMGEN - a code transformer that parallelizes image processing codes to run on a cluster of workstations
An enormous body of image and video processing software has been written for conventional (sequential) desktop computers. These implement a wide range of operations, such as convolution, histogram equalization and template matching. These applications usually have a tremendous potential for parallelism. However a significant barrier in exploiting such parallelism is the difficulty of writing parallel software. In this work, the design and implementation of MPIIMGEN -- a code transformer that automatically transforms these sequential image processing codes into parallel codes that are capable of running on a cluster of workstations is presented. This tool uses a pattern driven approach to parallelize the sequential codes.
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