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- W2940323710 abstract "Emerging computing architectures such as near-memory computing (NMC) promise improved performance for applications by reducing the data movement between CPU and memory. However, detecting such applications is not a trivial task. In this ongoing work, we extend the state-of-the-art platform-independent software analysis tool with NMC related metrics such as memory entropy, spatial locality, data-level, and basic-block-level parallelism. These metrics help to identify the applications more suitable for NMC architectures." @default.
- W2940323710 created "2019-04-25" @default.
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- W2940323710 date "2019-05-27" @default.
- W2940323710 modified "2023-09-23" @default.
- W2940323710 title "Memory and Parallelism Analysis Using a Platform-Independent Approach" @default.
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- W2940323710 doi "https://doi.org/10.1145/3323439.3323988" @default.
- W2940323710 hasPublicationYear "2019" @default.
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