EDGE: Event-Driven GPU Execution

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 management, inefficiencies with fine-grained tas...

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Veröffentlicht in:	Proceedings / International Conference on Parallel Architectures and Compilation Techniques S. 337 - 353
Hauptverfasser:	Hetherington, Tayler Hicklin, Lubeznov, Maria, Shah, Deval, Aamodt, Tor M.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2019
Schlagworte:	Central Processing Unit GPU Graphics processing units Hardware Instruction sets Kernel Multiprogramming Networking Task analysis Throughput
ISSN:	2641-7936
Online-Zugang:	Volltext
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