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Kilo TM: Hardware Transactional Memory for GPU Architectures

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4 Author(s)
Fung, W.W.L. ; Univ. of British Columbia, Vancouver, BC, Canada ; Singh, I. ; Brownsword, A. ; Aamodt, T.M.

Programming GPUs is challenging for applications with irregular fine-grained communication between threads. To improve GPUs' programmability and thus extend their usage to a wider range of applications, the authors propose to enable transactional memory (TM) on GPUs via Kilo TM, a novel hardware TM system that scales to thousands of concurrent transactions.

Published in:

Micro, IEEE  (Volume:32 ,  Issue: 3 )

Date of Publication:

May-June 2012

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