NDLI: Efficient GPU synchronization without scopes: saying no to complex consistency models

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Efficient GPU synchronization without scopes: saying no to complex consistency models

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Efficient GPU synchronization without scopes: saying no to complex consistency models

Content Provider	ACM Digital Library
Author	Alsop, Johnathan Sinclair, Matthew D. Adve, Sarita V.
Abstract	As GPUs have become increasingly general purpose, applications with more general sharing patterns and fine- grained synchronization have started to emerge. Unfortunately, conventional GPU coherence protocols are fairly simplistic, with heavyweight requirements for synchronization accesses. Prior work has tried to resolve these inefficiencies by adding scoped synchronization to conventional GPU coherence protocols, but the resulting memory consistency model, heterogeneous-race-free (HRF), is more complex than the common data-race-free (DRF) model. This work applies the DeNovo coherence protocol to GPUs and compares it with conventional GPU coherence under the DRF and HRF consistency models. The results show that the complexity of the HRF model is neither necessary nor sufficient to obtain high performance. DeNovo with DRF provides a sweet spot in performance, energy, overhead, and memory consistency model complexity. Specifically, for benchmarks with globally scoped fine-grained synchronization, compared to conventional GPU with HRF (GPU+HRF), DeNovo+DRF provides 28% lower execution time and 51% lower energy on average. For benchmarks with mostly locally scoped fine-grained synchronization, GPU+HRF is slightly better -- however, this advantage requires a more complex consistency model and is eliminated with a modest enhancement to DeNovo+DRF. Further, if HRF's complexity is deemed acceptable, then DeNovo+HRF is the best protocol.
Starting Page	647
Ending Page	659
Page Count	13
File Format	PDF
ISBN	9781450340342
DOI	10.1145/2830772.2830821
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-12-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cache coherence Data-race-free models Memory consistency models Synchronization Gpgpu
Content Type	Text
Resource Type	Article

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