HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks

Article Properties
  • DOI (url)
    10.1109/tc.2023.3329937
  • Publication Date
    2024/02/01
  • Journal
    IEEE Transactions on Computers
  • Indian UGC (journal)
  • Refrences
    45
  • Hongyi Li Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Songchen Ma Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Taoyi Wang Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Weihao Zhang Lynxi, Company, Ltd., Beijing, China ORCID (unauthenticated)
  • Guanrui Wang Lynxi, Company, Ltd., Beijing, China ORCID (unauthenticated)
  • Chenhang Song Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Huanyu Qu Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Junfeng Lin Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Cheng Ma Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Jing Pei Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
  • Rong Zhao Center for Brain-Inspired Computing Research, Optical Memory National Engineering Research Center, Tsinghua University-China Electronics Technology HIK Group Co., Joint Research Center for Brian-inspired Computing, IDG/McGovern Institute for Brain Research at Tsinghua University, Department of Precision Instrument, Tsinghua University, Beijing, China ORCID (unauthenticated)
Cite
Li, Hongyi, et al. “HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks”. IEEE Transactions on Computers, vol. 73, no. 2, 2024, pp. 366-79, https://doi.org/10.1109/tc.2023.3329937.
Li, H., Ma, S., Wang, T., Zhang, W., Wang, G., Song, C., Qu, H., Lin, J., Ma, C., Pei, J., & Zhao, R. (2024). HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks. IEEE Transactions on Computers, 73(2), 366-379. https://doi.org/10.1109/tc.2023.3329937
Li H, Ma S, Wang T, Zhang W, Wang G, Song C, et al. HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks. IEEE Transactions on Computers. 2024;73(2):366-79.
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