The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Aplikasi DSP terkini mempunyai banyak isu penting seperti prestasi sistem yang lebih tinggi, penggunaan kuasa yang lebih rendah, fleksibiliti reka bentuk yang lebih tinggi, masa ke pasaran yang lebih pantas dan sebagainya. Baik ASIC konvensional mahupun DSP konvensional tidak semestinya dapat memenuhi semua keperluan sekaligus pada masa kini. Oleh itu, pengganti untuk aplikasi DSP diperlukan untuk melengkapkan kelemahan ASIC dan DSP. Kertas kerja ini memperkenalkan paradigma pengkomputeran baharu yang dipanggil pengkomputeran boleh dikonfigurasikan atau pengkomputeran boleh dikonfigurasikan semula, yang mempunyai lebih banyak potensi dari segi prestasi dan fleksibiliti. Platform silikon konvensional tidak akan memenuhi permintaan bercanggah produk standard dan penyesuaian. Walau bagaimanapun, platform silikon seperti FPGA untuk pengkomputeran boleh dikonfigurasi atau boleh dikonfigurasikan semula diseragamkan dalam pembuatan tetapi disesuaikan dalam aplikasi. Kertas kerja ini juga membentangkan tinjauan ringkas tentang platform silikon sedia ada yang menyokong konfigurasi atau konfigurasi semula dalam domain aplikasi pemprosesan isyarat digital seperti pemprosesan imej, pemprosesan komunikasi, pemprosesan audio dan pertuturan. Akhir sekali, kami menunjukkan beberapa seni bina boleh konfigurasi semula yang menjanjikan untuk pemprosesan isyarat digital dan membincangkan masa depan pengkomputeran boleh konfigurasi semula.
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Salinan
Toshinori SUEYOSHI, Masahiro IIDA, "Configurable and Reconfigurable Computing for Digital Signal Processing" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 3, pp. 591-599, March 2002, doi: .
Abstract: Recent DSP applications have many significant issues such as higher system performance, lower power consumption, higher design flexibility, faster time-to-market, and so on. Neither a conventional ASIC nor a conventional DSP can necessarily satisfy all the requirements at once nowadays. Therefore, an alternate for DSP applications will be needed to complement the drawbacks of ASICs and DSPs. This paper introduces a new computing paradigm called configurable computing or reconfigurable computing, which has more potential in terms of performance and flexibility. Conventional silicon platforms will not satisfy the conflicting demands of standard products and customization. However, silicon platforms such as FPGAs for configurable or reconfigurable computing are standardized in manufacturing but customized in application. This paper also presents a brief survey of the existing silicon platforms that support configuration or reconfiguration in the application domain of digital signal processing such as image processing, communication processing, audio and speech processing. Finally, we show some promising reconfigurable architectures for the digital signal processing and discuss the future of reconfigurable computing.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_3_591/_p
Salinan
@ARTICLE{e85-a_3_591,
author={Toshinori SUEYOSHI, Masahiro IIDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Configurable and Reconfigurable Computing for Digital Signal Processing},
year={2002},
volume={E85-A},
number={3},
pages={591-599},
abstract={Recent DSP applications have many significant issues such as higher system performance, lower power consumption, higher design flexibility, faster time-to-market, and so on. Neither a conventional ASIC nor a conventional DSP can necessarily satisfy all the requirements at once nowadays. Therefore, an alternate for DSP applications will be needed to complement the drawbacks of ASICs and DSPs. This paper introduces a new computing paradigm called configurable computing or reconfigurable computing, which has more potential in terms of performance and flexibility. Conventional silicon platforms will not satisfy the conflicting demands of standard products and customization. However, silicon platforms such as FPGAs for configurable or reconfigurable computing are standardized in manufacturing but customized in application. This paper also presents a brief survey of the existing silicon platforms that support configuration or reconfiguration in the application domain of digital signal processing such as image processing, communication processing, audio and speech processing. Finally, we show some promising reconfigurable architectures for the digital signal processing and discuss the future of reconfigurable computing.},
keywords={},
doi={},
ISSN={},
month={March},}
Salinan
TY - JOUR
TI - Configurable and Reconfigurable Computing for Digital Signal Processing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 591
EP - 599
AU - Toshinori SUEYOSHI
AU - Masahiro IIDA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2002
AB - Recent DSP applications have many significant issues such as higher system performance, lower power consumption, higher design flexibility, faster time-to-market, and so on. Neither a conventional ASIC nor a conventional DSP can necessarily satisfy all the requirements at once nowadays. Therefore, an alternate for DSP applications will be needed to complement the drawbacks of ASICs and DSPs. This paper introduces a new computing paradigm called configurable computing or reconfigurable computing, which has more potential in terms of performance and flexibility. Conventional silicon platforms will not satisfy the conflicting demands of standard products and customization. However, silicon platforms such as FPGAs for configurable or reconfigurable computing are standardized in manufacturing but customized in application. This paper also presents a brief survey of the existing silicon platforms that support configuration or reconfiguration in the application domain of digital signal processing such as image processing, communication processing, audio and speech processing. Finally, we show some promising reconfigurable architectures for the digital signal processing and discuss the future of reconfigurable computing.
ER -