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1 Ergebnisse
1
Sparse Attention Acceleration with Synergistic In-Memory Pr..:
, In:
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO)
,
Yazdanbakhsh, Amir
;
Moradifirouzabadi, Ashkan
;
Li, Zheng
. - p. 744-762 , 2022
Link:
https://doi.org/10.1109/MICRO56248.2022.00059
RT T1 <cTitle>2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO)</cTitle>: T1 <Title>Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9923809&Exemplar=1&LAN=DE A1 Yazdanbakhsh, Amir A1 Moradifirouzabadi, Ashkan A1 Li, Zheng A1 Kang, Mingu YR 2022 K1 Runtime K1 Pairwise error probability K1 Computational modeling K1 Transforms K1 Parallel processing K1 Transformers K1 Data models K1 Transformer K1 Attention Mechanism K1 Self-Attention K1 Sparsity K1 Model Compression K1 In-Memory Computing K1 Neural Processing Units K1 ReRAM K1 Deep Learning K1 Hardware-Software Co-Design SP 744 OP 762 LK http://dx.doi.org/https://doi.org/10.1109/MICRO56248.2022.00059 DO https://doi.org/10.1109/MICRO56248.2022.00059 SF ELIB - SuUB Bremen
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