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Studying Inter-Warp Divergence Aware Execution on GPUs Chulian

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This letter quantitatively studies the benefits of inter-warp divergence aware execution on GPUs. To that end, the letter first proposes a novel approach to quantify the inter-warp divergence by measuring the temporal similarity in execution progress of concurrent warps, which we call Warp Progression Similarity (WPS). Based on the WPS metric, this letter proposes a WPS-aware Scheduler (WPSaS) to optimize GPU throughput. The aim is to manage inter-warp divergence to hide memory access latency and minimize resource conflicts and temporal under-utilization in compute units allowing GPUs to achieve their peak throughput. Our results demonstrate that WPSaS improves throughput by 10% with a pronounced reduction in resource conflicts and temporal under-utilization.

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Ketersediaan

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Informasi Detail

Judul Seri

Computer Architecture Letters

No. Panggil

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Penerbit

Sweden : IEEE Computer Architecture Letters., 2015

Deskripsi Fisik

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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

Lampiran Berkas

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