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arXiv · 1904.08762

Memory and Parallelism Analysis Using a Platform-Independent Approach

Stefano Corda·Gagandeep Singh·Ahsan Javed Awan·Roel Jordans·Henk Corporaal
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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.

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Stefano Corda, Gagandeep Singh, Ahsan Javed Awan, Roel Jordans, Henk Corporaal. 2019-04-18. Memory and Parallelism Analysis Using a Platform-Independent Approach. https://doi.org/10.1145/3323439.3323988

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