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Advancements in cache management: a review of machine learning innovations for enhanced performance and security [PDF]
Frontiers in Artificial IntelligenceMachine learning techniques have emerged as a promising tool for efficient cache management, helping optimize cache performance and fortify against security threats.
Keshav Krishna
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Locality-Based Cache Management and Warp Scheduling for Reducing Cache Contention in GPU [PDF]
Micromachines, 2021 GPGPUs has gradually become a mainstream acceleration component in high-performance computing. The long latency of memory operations is the bottleneck of GPU performance. In the GPU, multiple threads are divided into one warp for scheduling and execution.
Juan Fang, Zelin Wei, Huijing Yang
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Don't make cache too complex: A simple probability-based cache management scheme for SSDs. [PDF]
PLoS ONE, 2017 Solid-state drives (SSDs) have recently become a common storage component in computer systems, and they are fueled by continued bit cost reductions achieved with smaller feature sizes and multiple-level cell technologies.
Seungjae Baek +2 more
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RCM: A Remote Cache Management Framework for Spark
Applied Sciences, 2022 With the rapid growth of Internet data, the performance of big data processing platforms is attracting more and more attention. In Spark, cache data are replaced by the Least Recently Used (LRU) Algorithm.
Yixin Song +6 more
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DyCache: Dynamic Multi-Grain Cache Management for Irregular Memory Accesses on GPU
IEEE Access, 2018 GPU utilizes the wide cache-line (128B) on-chip cache to provide high bandwidth and efficient memory accesses for applications with regularly-organized data structures.
Hui Guo +4 more
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In-DRAM Cache Management for Low Latency and Low Power 3D-Stacked DRAMs [PDF]
Micromachines, 2019 Recently, 3D-stacked dynamic random access memory (DRAM) has become a promising solution for ultra-high capacity and high-bandwidth memory implementations.
Ho Hyun Shin, Eui-Young Chung
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Future InternetInformation-Centric Networking (ICN) typically utilizes DRAM (Dynamic Random Access Memory) to build in-network cache components due to its high data transfer rate and low latency. However, DRAM faces significant limitations in terms of cost and capacity,
Yichao Chao, Rui Han
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An NDN Cache Management for MEC
Applied Sciences, 2020 To enhance network performance, the named data networking architecture (NDN) caches data-packets in the network nodes on a downstream network path. Then it uses such cached requested data-packets to respond to new request-packets.
DaeYoub Kim, Jihoon Lee
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Implementation and Optimization of Apache Spark Cache System Based on Mixed Memory [PDF]
Jisuanji kexue, 2023 With increasing data scale in the “big data era”,in-memory computing frameworks have grown significantly.The mainstream in-memory computing framework Apache Spark uses memory to cache intermediate results,which greatly improves data processing ...
WEI Sen, ZHOU Haoran, HU Chuang, CHENG Dazhao
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Cache of cryptographic key based on query popularity
网络与信息安全学报, 2023 In the current HDFS (Hadoop Distributed File System) key management system, the encryption zone keys are all loaded into the memory during startup of key service.With the increase of the key resource, the occupied memory space also grows, bringing the ...
Wei JIN +4 more
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