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Tandem Processor: Grappling with Emerging Operators in Neur..:

, In: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2,

Ghodrati, Soroush ; Kinzer, Sean ; Xu, Hanyang... - p. 1165-1182 , 2024

Link: https://dl.acm.org/doi/10.1145/3620665.3640365

RT 
T1 <cTitle>Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2</cTitle>: T1 <Title>Tandem Processor: Grappling with Emerging Operators in Neural Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3640365&Exemplar=1&LAN=DE
				
A1 Ghodrati, Soroush
A1 Kinzer, Sean
A1 Xu, Hanyang
A1 Mahapatra, Rohan
A1 Kim, Yoonsung
A1 Ahn, Byung Hoon
A1 Wang, Dong Kai
A1 Karthikeyan, Lavanya
A1 Yazdanbakhsh, Amir
A1 Park, Jongse
A1 Kim, Nam Sung
A1 Esmaeilzadeh, Hadi
PB ACM
YR 2024
K1 neural processing unit (NPU)
K1 domain specific architecture (DSA)
K1 accelerator
K1 deep neural networks (DNN)
K1 end-to-end acceleration
K1 non-gemm layers
K1 large language models (LLM)
K1 single instruction multiple data (SIMD)
K1 instruction set architecture (ISA)
K1 tandem processor
K1 Hardware
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
K1 Very large scale integration design
K1 Application-specific VLSI designs
K1 Application specific processors
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 Single instruction, multiple data
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
SP 1165
OP 1182
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3620665.3640365
DO https://dl.acm.org/doi/10.1145/3620665.3640365
SF ELIB - SuUB Bremen

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