O. Ulyanov, M. Plakhov, A. Shevtsova, A. Skoryk, V. N. Tkachev, O. O. Ulyanova
{"title":"使用NVIDIA显卡测试FFT/IFFT的速度","authors":"O. Ulyanov, M. Plakhov, A. Shevtsova, A. Skoryk, V. N. Tkachev, O. O. Ulyanova","doi":"10.1109/MSMW.2016.7538158","DOIUrl":null,"url":null,"abstract":"The article shows the limits in the processing speed which are achieved by the modern NVIDIA graphics cards (GPUs). Also the level of the computational errors that registered with FFT and inverse FFT at different plans of their implementation is considered and the absence of distortion type jitter is fixed. A comparison of the speed of the spectral analysis of large data sets using different plans and GPUs NVIDIA GeForce 660M and 680 was made.","PeriodicalId":6504,"journal":{"name":"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)","volume":"123 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Testing the speed of FFT/IFFT using the NVIDIA graphics cards\",\"authors\":\"O. Ulyanov, M. Plakhov, A. Shevtsova, A. Skoryk, V. N. Tkachev, O. O. Ulyanova\",\"doi\":\"10.1109/MSMW.2016.7538158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article shows the limits in the processing speed which are achieved by the modern NVIDIA graphics cards (GPUs). Also the level of the computational errors that registered with FFT and inverse FFT at different plans of their implementation is considered and the absence of distortion type jitter is fixed. A comparison of the speed of the spectral analysis of large data sets using different plans and GPUs NVIDIA GeForce 660M and 680 was made.\",\"PeriodicalId\":6504,\"journal\":{\"name\":\"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)\",\"volume\":\"123 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSMW.2016.7538158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSMW.2016.7538158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Testing the speed of FFT/IFFT using the NVIDIA graphics cards
The article shows the limits in the processing speed which are achieved by the modern NVIDIA graphics cards (GPUs). Also the level of the computational errors that registered with FFT and inverse FFT at different plans of their implementation is considered and the absence of distortion type jitter is fixed. A comparison of the speed of the spectral analysis of large data sets using different plans and GPUs NVIDIA GeForce 660M and 680 was made.