Results 11 to 20 of about 1,063 (218)
Computer-language based data prefetching techniques [PDF]
, 2019 Data prefetching has long been used as a technique to improve access times to persistent data. It is based on retrieving data records from persistent storage to main memory before the records are needed. Data prefetching has been applied to a wide variety of persistent storage systems, from file systems to Relational Database Management Systems and ...
Rizkallah Touma
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Hardware-Assisted Low-Latency NPU Virtualization Method for Multi-Sensor AI Systems [PDF]
SensorsRecently, AI systems such as autonomous driving and smart homes have become integral to daily life. Intelligent multi-sensors, once limited to single data types, now process complex text and image data, demanding faster and more accurate processing ...
Jong-Hwan Jean, Dong-Sun Kim
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Movi: A fast and cache-efficient full-text pangenome index [PDF]
iScienceSummary: Pangenome indexes are promising tools for many applications, including classification of nanopore sequencing reads. Move structure is a compressed-index data structure based on the Burrows-Wheeler Transform (BWT).
Mohsen Zakeri +4 more
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Continuous prefetch for interactive data applications [PDF]
Proceedings of the VLDB Endowment, 2020 Interactive data visualization and exploration (DVE) applications are often network-bottlenecked due to bursty request patterns, large response sizes, and heterogeneous deployments over a range of networks and devices. This makes it difficult to ensure consistently low response times (< 100ms). Khameleon is a framework for DVE applications that uses
Mohammed, Haneen +3 more
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A Cross-Prefetcher Schedule Optimization Methodology
IEEE Access, 2022 Prefetching offers the potential to significantly improve performance by speculatively loading application data so that it is available before it is needed. By their very nature, prefetching techniques are application behavior dependant.
Razvan Nitu +2 more
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Hardware prefetching mechanism based on double step data stream [PDF]
Jisuanji gongcheng, 2019 Hardware data prefetching technology can effectively improve the memory access performance of processors,but the traditional stream prefetching strategy has the problem of untimely prefetching.Therefore,a double step stream prefetching strategy is ...
WANG Jinhan,LI Jun,LU Dongdong,ZHANG Hailong,ZHU Ying
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Multiple Level Hardware Prefetching Based on Stream Access Features [PDF]
Jisuanji gongcheng, 2016 Technique of hardware data prefetching loads data to Cache before they are actually referenced by processor,thus improves the system performance.Existing research and application focus on prefetching data only to the first level Cache.In this way,the ...
JIA Xun,WENG Zhiqiang,HU Xiangdong
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Future Internet, 2022 Over the past few years, increasing attention has been given to the health sector and the integration of new technologies into it. Cloud computing and storage clouds have become essentially state of the art solutions for other major areas and have ...
Chrysostomos Symvoulidis +4 more
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Efficient Large-Capacity Caching in Cloud Storage Using Skip-Gram-Based File Correlation Analysis
IEEE Access, 2023 Designing a high-capacity cache is an essential means of improving the accessibility of cloud storage. Compared with traditional data access, cloud storage data access presents new patterns, and traditional caching strategies cannot handle the ...
Fang Xiao, Siyuan Yu, Yuze Li
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Adaptive Regression Prefetching Algorithm by Using Big Data Application Characteristics
Applied Sciences, 2023 This paper presents an innovative prefetching algorithm for a hybrid main memory structure, which consists of DRAM and phase-change memory. To enhance the efficiency of hybrid memory hardware in serving big data technologies, the proposed design employs ...
Mengzhao Zhang +4 more
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