{"title":"并行流水线STAP应用程序I/O策略的设计与评估","authors":"W. Liao, A. Choudhary, D. Weiner, P. Varshney","doi":"10.1109/IPDPS.2000.846050","DOIUrl":null,"url":null,"abstract":"This paper presents experimental results for a parallel pipeline STAP system with I/O task implementation using the parallel file systems on the Intel Paragon and the IBM SP. In our previous work, a parallel pipeline model was designed for radar signal processing applications on parallel computers. Based on this model, we implemented a real STAP application which demonstrated the performance scalability of this model in terms of throughput and latency. In this paper we study the effect on system performance when the I/O task is incorporated in the parallel pipeline model. There are two alternative for I/O implementation: embedding I/O in the pipeline or having a separate I/O task. From these two I/O implementations, we discovered that the latency may be improved when the structure of the pipeline is reorganized by merging multiple tasks into a single task. All the performance results shown in this paper demonstrated the scalability of parallel I/O implementation on the parallel pipeline STAP system.","PeriodicalId":206541,"journal":{"name":"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design and evaluation of I/O strategies for parallel pipelined STAP applications\",\"authors\":\"W. Liao, A. Choudhary, D. Weiner, P. Varshney\",\"doi\":\"10.1109/IPDPS.2000.846050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents experimental results for a parallel pipeline STAP system with I/O task implementation using the parallel file systems on the Intel Paragon and the IBM SP. In our previous work, a parallel pipeline model was designed for radar signal processing applications on parallel computers. Based on this model, we implemented a real STAP application which demonstrated the performance scalability of this model in terms of throughput and latency. In this paper we study the effect on system performance when the I/O task is incorporated in the parallel pipeline model. There are two alternative for I/O implementation: embedding I/O in the pipeline or having a separate I/O task. From these two I/O implementations, we discovered that the latency may be improved when the structure of the pipeline is reorganized by merging multiple tasks into a single task. All the performance results shown in this paper demonstrated the scalability of parallel I/O implementation on the parallel pipeline STAP system.\",\"PeriodicalId\":206541,\"journal\":{\"name\":\"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPS.2000.846050\",\"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 14th International Parallel and Distributed Processing Symposium. IPDPS 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPS.2000.846050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and evaluation of I/O strategies for parallel pipelined STAP applications
This paper presents experimental results for a parallel pipeline STAP system with I/O task implementation using the parallel file systems on the Intel Paragon and the IBM SP. In our previous work, a parallel pipeline model was designed for radar signal processing applications on parallel computers. Based on this model, we implemented a real STAP application which demonstrated the performance scalability of this model in terms of throughput and latency. In this paper we study the effect on system performance when the I/O task is incorporated in the parallel pipeline model. There are two alternative for I/O implementation: embedding I/O in the pipeline or having a separate I/O task. From these two I/O implementations, we discovered that the latency may be improved when the structure of the pipeline is reorganized by merging multiple tasks into a single task. All the performance results shown in this paper demonstrated the scalability of parallel I/O implementation on the parallel pipeline STAP system.