Achieving Scalability in a k-NN Multi-GPU Network Service with Centaur

Centaur is a GPU-centric architecture for building a low-latency approximate k-Nearest-Neighbors network server. We implement a multi-GPU distributed data flow runtime which enables efficient and scalable network request processing on GPUs. The runtime eliminates GPU management overheads from the CP...

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Vydané v:	Proceedings / International Conference on Parallel Architectures and Compilation Techniques s. 245 - 257
Hlavní autori:	Watad, Amir, Libov, Alexander, Shacham, Ohad, Bortnikov, Edward, Silberstein, Mark
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2019
Predmet:	Approximation algorithms Clustering algorithms Computer architecture GPU Graphics processing units Kernel Parallel Computing Servers Throughput
ISSN:	2641-7936
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