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Software Transactional Memory for GPU Architectures

Yunlong Xu [et al.] - Nama Orang;

To make applications with dynamic data sharing among threads benefit from GPU acceleration, we propose a novel software transactional memory system for GPU architectures (GPU-STM). The major challenges include ensuring good scalability with respect to the massively multithreading of GPUs, and preventing livelocks caused by the SIMT execution paradigm of GPUs. To this end, we propose (1) a hierarchical validation technique and (2) an encounter-time lock-sorting mechanism to deal with the two challenges, respectively. Evaluation shows that GPU-STM outperforms coarse-grain locks on GPUs by up to 20x

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Judul Seri: COMPUTER ARCHITECTURE
No. Panggil: -
Penerbit: Sweden : IEEE Computer Architecture Letters., 2014
Deskripsi Fisik: IEEE COMPUTER ARCHITECTURE LETTERS, VOL. 13, NO. 1, JANUARY-JUNE 2014 49
Bahasa: English
ISBN/ISSN: Digital Object Ident
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: VOL. 13, NO. 1, JANUARY-JUNE 2014
Subjek: ARSITEKTUR KOMPUTER
Info Detail Spesifik: -
Pernyataan Tanggungjawab: deliza

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FULLTEXT:Software Transactional Memory for GPU Architectures

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