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A perspective on digital signal processor based leadership performance accelerator for AI and HPC

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Conclusion

Both HPC and AI applications are substantially motivating the development of processors with ultra-high performance and low power consumption. The software ecosystem plays a pivotal role in the exploitation of processors’ performance. This paper retrospects our practices in advancing DSPs and its software ecosystems into the domain of HPC, AI, and even beyond. We also provide promising research directions to motivate related studies for future high performance processors.

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Acknowledgements

This work was supported by the Natural Science Foundation of Hunan Province (No. 2022JJ10066) and the National Natural Science Foundation of China (Grant No. 62272477).

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Authors and Affiliations

  1. School of Computer, National University of Defense Technology, Changsha, 410073, China

    Yang Guo, Yaohua Wang & Sheng Ma

  2. Key Laboratory of Advanced Microprocessor Chips and Systems, National University of Defense Technology, Changsha, 410073, China

    Yang Guo, Yaohua Wang & Sheng Ma

Authors
  1. Yang Guo
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  2. Yaohua Wang
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Corresponding authors

Correspondence to Yang Guo or Yaohua Wang.

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Competing interests The authors declare that they have no competing interests or financial conflicts to disclose.

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Guo, Y., Wang, Y. & Ma, S. A perspective on digital signal processor based leadership performance accelerator for AI and HPC. Front. Comput. Sci. 19, 197109 (2025). https://doi.org/10.1007/s11704-024-40149-8

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  • DOI: https://doi.org/10.1007/s11704-024-40149-8