Results 101 to 110 of about 12,875 (189)
Data prefetching is crucial for hiding long-latency memory access on modern high-performance processors. Machine learning (ML)-based data prefetchers have demonstrated superior address prediction performance compared with traditional rule-based ...
Chang Ho Ryu, Tae Hee Han
doaj +1 more source
Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware. [PDF]
Medvedev A +7 more
europepmc +1 more source
Targeted Data Prefetching [PDF]
Given the increasing gap between processors and memory, prefetching data into cache becomes an important strategy for preventing the processor from being starved of data. The success of any data prefetching scheme depends on three factors: timeliness, accuracy and overhead.
openaire +1 more source
Extended Buffer-referred Prefetching to Leverage Prefetch Coverage
Jinhyun So, Mi Lu
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Building method of distributed COW disk on network computing environment
Aiming to distributed computing and data centralizing storage in large-scale network computing environments and combining sparse and bursting characteristic of COW(copy-on-write) disk storing modified data blocks,the distributed COW network disk ...
Huai-liang TAN +3 more
doaj +2 more sources
Pickle Prefetcher: Programmable and Scalable Last-Level Cache Prefetcher
13 pages, 13 ...
Nguyen, Hoa +3 more
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Federated Deep Learning to More Reliably Detect Body Part for Hanging Protocols, Relevant Priors, and Workflow Optimization. [PDF]
Filice RW, Stein A, Pan I, Shih G.
europepmc +1 more source
Fast lightweight accurate xenograft sorting. [PDF]
Zentgraf J, Rahmann S.
europepmc +1 more source
Deep learning-based caching optimization for VR 360° videos in vehicular edge computing. [PDF]
Khan S +5 more
europepmc +1 more source
Off-chip prefetching based on Hidden Markov Model for non-volatile memory architectures. [PDF]
Lamela A +3 more
europepmc +1 more source

