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Augur: An Online Learning-based Hardware Data Prefetcher using Reservoir Computing
By The Semiconductor Hub news desk ·
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Machine-learning-based hardware prefetchers can learn complex access patterns, but practical deployment demands online adaptation, low-latency inference, and modest hardware cost. We present Augur, a hardware delta prefetcher based on next-generation reservoir computing (NGRC) that meets all three requirements. Augur formulates delta prediction as a history-based regression problem. It constructs a fixed-size reservoir from hashed delta features over a short context window and predicts the next…
Read at arXiv cs.AR (Hardware Architecture)Source: arXiv cs.AR (Hardware Architecture), published . The summary is the Hub's own; the full story is at the source. Report a rights or accuracy concern