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Inference Optimization of Foundation Models on AI Accelerat..:

, In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,

Park, Youngsuk ; Budhathoki, Kailash ; Chen, Liangfu... - p. 6605-6615 , 2024

Link: https://dl.acm.org/doi/10.1145/3637528.3671465

RT 
T1 <cTitle>Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Inference Optimization of Foundation Models on AI Accelerators</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3671465&Exemplar=1&LAN=DE
				
A1 Park, Youngsuk
A1 Budhathoki, Kailash
A1 Chen, Liangfu
A1 Kübler, Jonas M.
A1 Huang, Jiaji
A1 Kleindessner, Matthäus
A1 Huan, Jun
A1 Cevher, Volkan
A1 Wang, Yida
A1 Karypis, George
PB ACM
YR 2024
K1 foundation models
K1 inference optimization
K1 llms
K1 transformer
K1 General and reference
K1 Document types
K1 Surveys and overviews
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Software and its engineering
K1 Software notations and tools
K1 General programming languages
K1 Language types
K1 Parallel programming languages
K1 Development frameworks and environments
K1 Machine learning
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
K1 Compilers
K1 Hardware
K1 Communication hardware, interfaces and storage
K1 Signal processing systems
K1 System description languages
SP 6605
OP 6615
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3637528.3671465
DO https://dl.acm.org/doi/10.1145/3637528.3671465
SF ELIB - SuUB Bremen

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