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- W2896857054 abstract "Processing-In-Memory (PIM) is an increasingly popular architecture aimed at addressing the 'memory wall' crisis by prioritizing the integration of processors within DRAM. It promotes low data access latency, high bandwidth, massive parallelism, and low power consumption. The skyline operator is a known primitive used to identify those multi-dimensional points offering optimal trade-offs within a given dataset. For large multidimensional dataset, calculating the skyline is extensively compute and data intensive. Although, PIM systems present opportunities to mitigate this cost, their execution model relies on all processors operating in isolation with minimal data exchange. This prohibits direct application of known skyline optimizations which are inherently sequential, creating dependencies and large intermediate results that limit the maximum parallelism, throughput, and require an expensive merging phase." @default.
- W2896857054 created "2018-10-26" @default.
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- W2896857054 date "2018-11-01" @default.
- W2896857054 modified "2023-09-25" @default.
- W2896857054 title "Massively parallel skyline computation for processing-in-memory architectures" @default.
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- W2896857054 doi "https://doi.org/10.1145/3243176.3243187" @default.
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