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HARFSR: A Hardware-Accelerated Real-time Sound Field Rendering System for Large-scale Sound Environments

Research Project

Project/Area Number 19K12092
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 61020:Human interface and interaction-related
Research InstitutionInstitute of Physical and Chemical Research

Principal Investigator

TAN YIYU  国立研究開発法人理化学研究所, 計算科学研究センター, 研究員 (70743243)

Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2021: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
KeywordsSound field rendering / FPGA / FDTD / room acoustics / Sound Rendering / sound field rendering / sound rendering
Outline of Research at the Start

This research investigates a hardware-accelerated sound field rendering system by co-designing algorithm and architecture to offer real-time rendering, and explore the architecture extension to develop a generic accelerated platform to solve sound/wave propagation problems in other domains. The new hardware-oriented low-dispersion rendering algorithm is studied to reduce computations and memory demands, and the novel accelerated system is examined to speed up computations. The technology of achieving high-fidelity auditory perception in large-scale sound environments is explored.

Outline of Final Research Achievements

Realistic sound propagation significantly improves the sense of presence of users, and it is indispensable in human-computer interaction and realistic communication. This research investigated a hardware-accelerated sound field rendering system by co-designing algorithm and architecture, and explored the architecture extension to investigate a generic accelerated platform to solve sound/wave propagation problems in other domains. The new rendering algorithm was studied to reduce computations and memory demands, and the novel accelerated system was developed to speed up computations. In addition, the technology of achieving high-fidelity auditory perception in large-scale sound environments was explored.

Academic Significance and Societal Importance of the Research Achievements

大規模な音空間における音場レンダリングは計算負荷が高く、リアルタイムアプリケーションからオフラインアプリケーションまで多くのアプリケーションで重要である。本研究の成果は、高忠実度の聴覚を実現する音場レンダリングのソリューションを提供し、人間中心のコンピューティングの最先端技術を推進する。また,本研究の成果を発展させることで,バーチャルリアリティやヒューマンコンピュータのインタラクティブの新しい技術を創出する可能性がある。

Report

(4 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • Research Products

    (16 results)

All 2022 2021 2020 2019

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results) Presentation (15 results) (of which Int'l Joint Research: 10 results)

  • [Journal Article] FPGA-based Acceleration of FDTD Sound Field Rendering2021

    • Author(s)
      Yiyu Tan, Toshiyuki Imamura, and Masaaki Kondo
    • Journal Title

      Journal of the Audio Engineering Society

      Volume: 69 Issue: 7/8 Pages: 542-556

    • DOI

      10.17743/jaes.2021.0025

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] An FPGA-based Accelerator for Sound Field Rendering with High-order FDTD2022

    • Author(s)
      Yiyu Tan, Toshiyuki Imamura, and Masaaki Kondo
    • Organizer
      International Conference on High Performance Computing in Asia-Pacific Region
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] RIKEN CGRA: Reconfigurable Data-Driven Architecture for Future HPC2022

    • Author(s)
      Boma Adhi, Carlos Cortes, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano
    • Organizer
      International Conference on High Performance Computing in Asia-Pacific Region
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Initial Design and Evaluation of RIKEN CGRA: Data-Driven Architecture for Future HPC2022

    • Author(s)
      Boma Adhi, Carlos Cortes, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano
    • Organizer
      リコンフィギャラブルシステム研究会
    • Related Report
      2021 Annual Research Report
  • [Presentation] HPC向けRIKEN CGRAのためのコンパイル環境整備と予備評価2022

    • Author(s)
      小島拓也,・Carlos Cesar Cortes Torres,・Boma Adhi,・Yiyu Tan・佐野健太郎
    • Organizer
      リコンフィギャラブルシステム研究会
    • Related Report
      2021 Annual Research Report
  • [Presentation] FPGA-based Acceleration on Sound Field Rendering2022

    • Author(s)
      Yiyu Tan, Toshiyuki Imamura, and Masaaki Kondo
    • Organizer
      The 4th R-CCS International Symposium
    • Related Report
      2021 Annual Research Report
  • [Presentation] Parameterized environment for evaluating a CGRA for HPC2022

    • Author(s)
      Carlos Cesar Cortes Torres, Boma Anantasatya Adhi, Tan Yiyu, Takuya Kojima, Artur Podobas and Kentaro Sano
    • Organizer
      The 4th R-CCS International Symposium
    • Related Report
      2021 Annual Research Report
  • [Presentation] Exploration Framework for Synthesizable CGRAs Targeting HPC: Initial Design and Evaluation2022

    • Author(s)
      Boma Adhi, Carlos Cortes, Yiyu Tan, Takuya Kojima, Artur Podobas, Kentaro Sano
    • Organizer
      The First International Workshop on Coarse-Grained Reconfigurable Architectures for High-Performance Computing
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Architecture-Independent CGRA Compiler enabling OpenMP Applications2022

    • Author(s)
      Takuya Kojima, Carlos Cesar Cortes Torres,・Boma Adhi,・Yiyu Tan, and Kentaro Sano
    • Organizer
      The First International Workshop on Coarse-Grained Reconfigurable Architectures for High-Performance Computing
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] RIKEN CGRA: Data-Driven Architecture as an Extension of Multicore CPU for Future HPC2021

    • Author(s)
      Boma Adhi, Takuya Kojima, Yiyu Tan, Artur Podobas, Kentaro Sano
    • Organizer
      International Conference on High Performance Computing, Networking, Storage, and Analysis
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Design and Implementation of FPGA-based High-order FDTD Method for Room Acoustics2021

    • Author(s)
      Yiyu Tan, Toshiyuki Imamura, and Masaaki Kondo
    • Organizer
      The 3rd R-CCS International Symposium
    • Related Report
      2020 Research-status Report
  • [Presentation] An FPGA-based Sound Field Rendering System2020

    • Author(s)
      Yiyu Tan and Toshiyuki Imamura
    • Organizer
      IEEE Cluster
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Design and Implementation of High-order FDTD Method for Room Acoustics2020

    • Author(s)
      Yiyu Tan, Toshiyuki Imamura, Masaaki Kondo
    • Organizer
      the 41th Symposium on Ultrasonic Electronics (USE 2020)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Sound Rendering and its Acceleration Using FPGA2020

    • Author(s)
      Tan Yiyu and Toshiyuki Imamura
    • Organizer
      International Conference on High Performance Computing in Asia-pacific Region (HPC Asia)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] A FPGA-based Accelerator for Sound Field Rendering2019

    • Author(s)
      Tan Yiyu and Toshiyuki Imamura
    • Organizer
      the 22nd International Conference on Digital Audio Effects (DAFx-19)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research
  • [Presentation] High-order FDTD Method for Room Acoustic Simulation2019

    • Author(s)
      Tan Yiyu and Toshiyuki Imamura
    • Organizer
      the 40th Symposium on Ultrasonic Electronics (USE 2019)
    • Related Report
      2019 Research-status Report
    • Int'l Joint Research

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Published: 2019-04-18   Modified: 2023-01-30  

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