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1 Ergebnisse
1
Characterizing Training Performance and Energy for Foundati..:
, In:
Proceedings of the 4th Workshop on Machine Learning and Systems
,
Espenshade, Connor
;
Peng, Rachel
;
Hong, Eumin
... - p. 47-55 , 2024
Link:
https://dl.acm.org/doi/10.1145/3642970.3655830
RT T1 <cTitle>Proceedings of the 4th Workshop on Machine Learning and Systems</cTitle>: T1 <Title>Characterizing Training Performance and Energy for Foundation Models and Image Classifiers on Multi-Instance GPUs</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3655830&Exemplar=1&LAN=DE A1 Espenshade, Connor A1 Peng, Rachel A1 Hong, Eumin A1 Calman, Max A1 Zhu, Yue A1 Parida, Pritish A1 Lee, Eun Kyung A1 Kim, Martha A. PB ACM YR 2024 K1 GPU K1 energy measurement K1 fine-tuning K1 image classifiers K1 large language models K1 multi-instance GPU (MIG) K1 transformers K1 Computer systems organization K1 Architectures K1 Parallel architectures K1 Computing methodologies K1 Machine learning K1 Hardware K1 Power and energy K1 Impact on the environment SP 47 OP 55 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3642970.3655830 DO https://dl.acm.org/doi/10.1145/3642970.3655830 SF ELIB - SuUB Bremen
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