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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haigeng Wang Dutt, Nikil Nicolau, A. Kai-Yeung Sunny Siu |
| Copyright Year | 1993 |
| Description | Author affiliation: Department of Computer Science, University of California, Irvine, Irvine, CA (Haigeng Wang) |
| Abstract | We present a new technique for the high-level synthesis of scalable MCM-based architectures implementing infinite-impulse response(IIR) filters. Our technique is based on the regular schedules, a class of parallel schedules for computing mth-order IIR filters. The simplicity of the regular schedules facilitates characterization of their inter-processor communications, which is generally difficult to express for parallel algorithms. The characterization of inter-processor communications of the regular schedules enables us to generate instruction-level behavior of the design that can be easily mapped onto MCM-based architectures. We illustrate this mapping of the regular schedules onto an MCM-based architecture by designing a special-purpose processor for the fifth-order elliptic wave filter. Our design yields a scalable performance measured in the filter's sample rate, which is not known to have been achieved by previously published designs. This work differs significantly from "traditional" high-level synthesis techniques in its emphasis on synthesizing scalable, high-performance multichip designs. |
| Starting Page | 336 |
| Ending Page | 342 |
| File Size | 640056 |
| Page Count | 7 |
| File Format | |
| ISBN | 0897915771 |
| ISSN | 0738100X |
| DOI | 10.1109/DAC.1993.203971 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1993-06-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | High level synthesis IIR filters Multichip modules Processor scheduling Computer architecture Concurrent computing Difference equations Parallel processing Signal synthesis Signal processing |
| Content Type | Text |
| Resource Type | Article |
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