Results 31 to 40 of about 1,063 (218)
THE IMPACT ANALYSIS OF PREFETCH IN THE CACHE ON THE MICROPROCESSOR PERFORMANCE
Российский технологический журнал, 2016 Memory access delay has been a major influence on microprocessor systems performance recently. On-chip cache memory application dramatically reduces this delay.
B. Z. Shmeylin
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Research progress of mobile video prefetching for mobile content distribution networks
Dianxin kexue, 2021 With the development of mobile internet and the popularization of video applications, the mobile content distribution network (MCDN) emerged as the times require.Prefetching technology is one of the key technologies for content distribution.It predicts ...
Shihang ZHANG +4 more
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Applied Sciences, 2021 The emergence of big data processing and machine learning has triggered the exponential growth of the working set sizes of applications. In addition, several modern applications are memory intensive with irregular memory access patterns.
Sae-Gyeol Choi +2 more
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Targeted Data Prefetching [PDF]
, 2005 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.
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Distributed Backup Data Deduplication System Based on Data Routing [PDF]
Jisuanji gongcheng, 2017 In big data scenarios,traditional data deduplication backup system faces with defects like large data backup storage space,insufficient data throughput and so on.Aiming at these defects,this paper designs a distributed backup data dedeplication system ...
YAO Min,YIN Jianwei,TANG Yan,LUO Zhiling
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Remote Sensing, 2022 The unprecedented availability of petascale analysis-ready earth observation data has given rise to a remarkable surge in demand for regional to global environmental studies, which exploit tons of data for temporal–spatial analysis at a much larger scale
Yan Ma, Jie Song, Zhixin Zhang
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Perceptron Based Data Prefetching
, 2023 <p>Machine Learning (ML) has shown its capacity for solving problems where prediction is a key factor, and the fact led us to start to explore ML in Data-prefetching, where prediction is also a key factor. Among various ML algorithms, Perceptron Learning caught our attention because of its simplicity that could make it fit well for ...
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Multi-core helper thread prefetching for irregular data intensive applications
Tongxin xuebao, 2014 Big data analysis applications often use sparse graph traversal algorithm which characterized by irregular data intensive memory access. For improving performance of memory access in sparse graph traversal algorithm, helper thread prefetching could ...
Jian-xun ZHANG +3 more
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IET Networks, 2015 Exploitation of smart sensor data has the potential to significantly improve the way in which content is wirelessly delivered to end user devices within visitor attractions.
Tim Farnham
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
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