Hardware-Efficient QR-Decomposition Using Bivariate Numeric Function Approximation
| Autor: | Jochen Rust, Steffen Paul, Pascal Seidel, Benjamin Knoop |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Hardware architecture
Signal processing business.industry Computer science 020206 networking & telecommunications Systolic array 02 engineering and technology 020202 computer hardware & architecture Matrix decomposition QR decomposition Function approximation 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business Computer hardware Energy (signal processing) Communication channel |
| Zdroj: | IEEE Transactions on Circuits and Systems I: Regular Papers. 64:3150-3159 |
| ISSN: | 1558-0806 1549-8328 |
| DOI: | 10.1109/tcsi.2017.2748380 |
| Popis: | Bivariate function approximation has proven its feasibility in terms of hardware-efficient arithmetic signal processing. However, its impact on high performance QR decomposition (QRD) has only been roughly studied so far. In this paper, a novel hardware architecture for Givens-Rotation-based QRD is proposed targeting hardware efficient signal processing. To this end, an ingenious triangular systolic array structure is considered. Complex-valued matrices are efficiently processed by means of a sophisticated bivariate numeric function approximation methodology. In order to get a comprehensive insight in the performance, exhaustive evaluation is carried out with a modern multi-antenna wireless communication system. In detail, the proposed QRD hardware architecture is used in a suitable channel pre-coding setup. For a meaningful proof-of-concept, our work is evaluated on several levels of the computing stack. In addition, our design is implemented and physically synthesized in a state-of-the-art 65-nm Taiwan Semiconductor Manufacturing Company technology and compared with other publications. The results indicate our approach to be a powerful solution for hardware-based QRD, especially in terms of energy and area requirements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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