O. Paker, Jens Sparsø, Niels Haandbæk, Mogens Isager, L. S. Nielsen
{"title":"用于低功耗音频信号处理应用的异构多处理器体系结构","authors":"O. Paker, Jens Sparsø, Niels Haandbæk, Mogens Isager, L. S. Nielsen","doi":"10.1109/IWV.2001.923139","DOIUrl":null,"url":null,"abstract":"This paper describes a low-power programmable DSP architecture that targets audio signal processing. The architecture can be characterized as a heterogeneous multiprocessor consisting of small and simple instruction set processors called mini-cores that communicate using message passing. The processors are tailored for different classes of filtering algorithms (FIR, IIR, N-LMS etc.), and in a typical system the communication among processors occurs at the sampling rate only. The processors are parameterized in word-size, memory-size, etc. and can be instantiated according to the needs of the application at hand using a normal synthesis based ASIC design flow. To give an impression of the size of a processor we mention that one of the FIR processors in a prototype design has 16 instructions, a 32 word/spl times/16 bit program memory, a 64 word/spl times/16 bit data memory and a 25 word/spl times/16 bit coefficient memory. Early results obtained from the design of a prototype chip containing filter processors for a hearing aid application, indicate a power consumption that is an order of magnitude better than current state of the art low-power audio DSPs implemented using full-custom techniques. This is due to: (1) the small size of the processors and (2) a smaller instruction count for a given task.","PeriodicalId":114059,"journal":{"name":"Proceedings IEEE Computer Society Workshop on VLSI 2001. Emerging Technologies for VLSI Systems","volume":"8 Suppl 10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A heterogeneous multiprocessor architecture for low-power audio signal processing applications\",\"authors\":\"O. Paker, Jens Sparsø, Niels Haandbæk, Mogens Isager, L. S. Nielsen\",\"doi\":\"10.1109/IWV.2001.923139\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a low-power programmable DSP architecture that targets audio signal processing. The architecture can be characterized as a heterogeneous multiprocessor consisting of small and simple instruction set processors called mini-cores that communicate using message passing. The processors are tailored for different classes of filtering algorithms (FIR, IIR, N-LMS etc.), and in a typical system the communication among processors occurs at the sampling rate only. The processors are parameterized in word-size, memory-size, etc. and can be instantiated according to the needs of the application at hand using a normal synthesis based ASIC design flow. To give an impression of the size of a processor we mention that one of the FIR processors in a prototype design has 16 instructions, a 32 word/spl times/16 bit program memory, a 64 word/spl times/16 bit data memory and a 25 word/spl times/16 bit coefficient memory. Early results obtained from the design of a prototype chip containing filter processors for a hearing aid application, indicate a power consumption that is an order of magnitude better than current state of the art low-power audio DSPs implemented using full-custom techniques. This is due to: (1) the small size of the processors and (2) a smaller instruction count for a given task.\",\"PeriodicalId\":114059,\"journal\":{\"name\":\"Proceedings IEEE Computer Society Workshop on VLSI 2001. Emerging Technologies for VLSI Systems\",\"volume\":\"8 Suppl 10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Computer Society Workshop on VLSI 2001. Emerging Technologies for VLSI Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWV.2001.923139\",\"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 IEEE Computer Society Workshop on VLSI 2001. Emerging Technologies for VLSI Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWV.2001.923139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A heterogeneous multiprocessor architecture for low-power audio signal processing applications
This paper describes a low-power programmable DSP architecture that targets audio signal processing. The architecture can be characterized as a heterogeneous multiprocessor consisting of small and simple instruction set processors called mini-cores that communicate using message passing. The processors are tailored for different classes of filtering algorithms (FIR, IIR, N-LMS etc.), and in a typical system the communication among processors occurs at the sampling rate only. The processors are parameterized in word-size, memory-size, etc. and can be instantiated according to the needs of the application at hand using a normal synthesis based ASIC design flow. To give an impression of the size of a processor we mention that one of the FIR processors in a prototype design has 16 instructions, a 32 word/spl times/16 bit program memory, a 64 word/spl times/16 bit data memory and a 25 word/spl times/16 bit coefficient memory. Early results obtained from the design of a prototype chip containing filter processors for a hearing aid application, indicate a power consumption that is an order of magnitude better than current state of the art low-power audio DSPs implemented using full-custom techniques. This is due to: (1) the small size of the processors and (2) a smaller instruction count for a given task.