| 研究課題/領域番号 |
22K12123
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| 研究機関 | 岩手大学 |
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研究代表者 |
TAN Yiyu 岩手大学, 理工学部, 准教授 (70743243)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | Sound field auralization / FDTD / FPGA |
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| 研究実績の概要 |
This research investigates a real-time high precision sound field auralization platform through algorithm/architecture and software/hardware co-designs. During the second fiscal year, high performance sound field auralization platform was developed. More details and research results are shown as follows.
(1)dataflow analysis and hierarchical parallelism. Dataflow in sound field rendering with finite difference time domain (FDTD) methods was analyzed. Based on it, the processing element was designed, the spatial blocking and temporal blocking were optimized and applied to reduce the required memory bandwidth, buffer size, and reuse data.
(2)acceleration on sound field rendering and convolution. A sound field render based on the FDTD method was developed to compute the impulse response of a sound space. Furthermore, dedicated hardware support for convolution in sound auralization was investigated.
(3)architectural exploration and optimization. The systolic architecture and coarse-grained reconfigurable architecture were explored and optimized for the sound field auralization platform. Different stencil patterns were applied to compute the impulse response of a sound space in sound field renderer.
(4)development and evaluation of hardware prototype machine. The prototype machines based on different FDTD methods were designed using OpenCL programming language and implemented using the FPGA board DE10-Agilex. Their performances were evaluated and compared with the solutions on a desktop machine with an Intel Xeon Gold 6212U processor.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
According to the schedule, high performance sound field auralization platform will be investigated in the second fiscal year. As described in the research outcome, the processing element was designed based on the sound field rendering algorithm with the FDTD methods and analysis of their data flow. Dedicated sound field renderer was developed to compute impulse response of a sound space. Furthermore, different architectures for sound field auralization platform were explored and optimized. Prototype machines were developed using OpenCL and their performances were evaluated and compared with other solutions. The related results have already been presented in international conferences. Based on the above, the project progressed smoothly as we expected.
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| 今後の研究の推進方策 |
During the second fiscal year, the development of the sound field auralization platform was completed. In the coming year, a virtual concert hall will be developed to demonstrate the real performance, and the technology of high-fidelity auditory perception will be explored. To analyze sound propagation in a virtual concert hall, system optimization techniques will be investigated to speed up performance and improve sampling rate of the output sound.
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| 次年度使用額が生じた理由 |
In last year, many conferences could be attended remotely and the cost of business trips to present research works and collect research information was saved. Furthermore, since master students joining in this project were not available as I expected, the budget to buy computers for students was left. The remaining budget will be used to upgrade the development environment, attend conferences to present our research works, and buy the required equipment for system debugging and computers for new joining students in the coming fiscal year.
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