e-journal

GPGPU Footprint Models to Estimate Per-Core Power

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We explore the problem of how to easily estimate the per-core power distribution of GPGPUs from the total power of all cores. We show that the dynamic energy consumption of a core for a given kernel, represented by its work footprint, is approximately proportional to the total time taken by all work units executing on that core, and the static power, represented by its core footprint, is proportional to the time that the core has assigned work. Footprints can be easily tracked using two hardware counters per GPU core.We also show how per-core power estimates can be used to compute power-performance pareto frontiers that identify opportunities for saving power and energy in cases of non-uniform work distribution by exploiting per-core DVFS support for GPGPUs

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Ketersediaan

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Informasi Detail

Judul Seri

Computer Architecture

No. Panggil

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Penerbit

Sweden : IEEE Computer Architecture Letters., 2015

Deskripsi Fisik

EEE Computer Architecture Letters

Bahasa

English

ISBN/ISSN

DOI 10.1109/LCA.2015

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

ARSITEKTUR KOMPUTER

Info Detail Spesifik

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Pernyataan Tanggungjawab

deliza

Versi lain/terkait

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