A. Recnik, K. Bandura, N. Denman, A. Hincks, G. Hinshaw, P. Klages, U. Pen, K. Vanderlinde
{"title":"CHIME探路者射电望远镜x引擎的高效实时数据管道","authors":"A. Recnik, K. Bandura, N. Denman, A. Hincks, G. Hinshaw, P. Klages, U. Pen, K. Vanderlinde","doi":"10.1109/ASAP.2015.7245705","DOIUrl":null,"url":null,"abstract":"The CHIME Pathfinder is a new interferometric radio telescope that uses a hybrid FPGA/GPU FX correlator. The GPU-based X-engine of this correlator processes over 819 Gb/s of 4+4-bit complex astronomical data from N=256 inputs across a 400MHz radio band. A software framework is presented to manage this real-time data flow, which allows each of 16 processing servers to handle 51.2 Gb/s of astronomical data, plus 8 Gb/s of ancillary data. Each server receives data in the form of UDP packets from an FPGA F-engine over the eight 10 GbE links, combines data from these packets into large (32MB-256MB) buffered frames, and transfers them to multiple GPU co-processors for correlation. The results from the GPUs are combined and normalized, then transmitted to a collection server, where they are merged into a single file. Aggressive optimizations enable each server to handle this high rate of data; allowing the efficient correlation of 25MHz of radio bandwidth per server. The solution scales well to larger values of N by adding additional servers.","PeriodicalId":6642,"journal":{"name":"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","volume":"22 1","pages":"57-61"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"An efficient real-time data pipeline for the CHIME Pathfinder radio telescope X-engine\",\"authors\":\"A. Recnik, K. Bandura, N. Denman, A. Hincks, G. Hinshaw, P. Klages, U. Pen, K. Vanderlinde\",\"doi\":\"10.1109/ASAP.2015.7245705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The CHIME Pathfinder is a new interferometric radio telescope that uses a hybrid FPGA/GPU FX correlator. The GPU-based X-engine of this correlator processes over 819 Gb/s of 4+4-bit complex astronomical data from N=256 inputs across a 400MHz radio band. A software framework is presented to manage this real-time data flow, which allows each of 16 processing servers to handle 51.2 Gb/s of astronomical data, plus 8 Gb/s of ancillary data. Each server receives data in the form of UDP packets from an FPGA F-engine over the eight 10 GbE links, combines data from these packets into large (32MB-256MB) buffered frames, and transfers them to multiple GPU co-processors for correlation. The results from the GPUs are combined and normalized, then transmitted to a collection server, where they are merged into a single file. Aggressive optimizations enable each server to handle this high rate of data; allowing the efficient correlation of 25MHz of radio bandwidth per server. The solution scales well to larger values of N by adding additional servers.\",\"PeriodicalId\":6642,\"journal\":{\"name\":\"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"volume\":\"22 1\",\"pages\":\"57-61\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.2015.7245705\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2015.7245705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An efficient real-time data pipeline for the CHIME Pathfinder radio telescope X-engine
The CHIME Pathfinder is a new interferometric radio telescope that uses a hybrid FPGA/GPU FX correlator. The GPU-based X-engine of this correlator processes over 819 Gb/s of 4+4-bit complex astronomical data from N=256 inputs across a 400MHz radio band. A software framework is presented to manage this real-time data flow, which allows each of 16 processing servers to handle 51.2 Gb/s of astronomical data, plus 8 Gb/s of ancillary data. Each server receives data in the form of UDP packets from an FPGA F-engine over the eight 10 GbE links, combines data from these packets into large (32MB-256MB) buffered frames, and transfers them to multiple GPU co-processors for correlation. The results from the GPUs are combined and normalized, then transmitted to a collection server, where they are merged into a single file. Aggressive optimizations enable each server to handle this high rate of data; allowing the efficient correlation of 25MHz of radio bandwidth per server. The solution scales well to larger values of N by adding additional servers.