A fully hardware-managed scheduling architecture for AI accelerators
Abstract The proliferation of AI applications across diverse domains has driven the evolution of AI accelerators toward higher performance and energy efficiency. This paper addresses the critical challenge of task scheduling in AI accelerators by introducing a fully hardware-managed scheduling syste...
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| Hoofdauteurs: | , , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer
2026-02-01
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| Reeks: | Journal of King Saud University: Computer and Information Sciences |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1007/s44443-026-00513-z |
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