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Hetherington et al., 2019 - Google Patents

Edge: Event-driven gpu execution

Hetherington et al., 2019

ViewPDF
Document ID
6572661228493479814
Author
Hetherington T
Lubeznov M
Shah D
Aamodt T
Publication year
Publication venue
2019 28th International Conference on Parallel Architectures and Compilation Techniques (PACT)

External Links

Snippet

GPUs are known to benefit structured applications with ample parallelism, such as deep learning in a datacenter. Recently, GPUs have shown promise for irregular streaming network tasks. However, the GPU's co-processor dependence on a CPU for task …
Continue reading atpeople.ece.ubc.ca (PDF) (other versions)

Classifications

The classifications are assigned by a computer and are not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the classifications listed.
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    • G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
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