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1 Ergebnisse
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Rambda: RDMA-driven Acceleration Framework for Memory-inten..:
, In:
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
,
Yuan, Yifan
;
Huang, Jinghan
;
Sun, Yan
... - p. 499-515 , 2023
Link:
https://doi.org/10.1109/HPCA56546.2023.10071127
RT T1 <cTitle>2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)</cTitle>: T1 <Title>Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10071127&Exemplar=1&LAN=DE A1 Yuan, Yifan A1 Huang, Jinghan A1 Sun, Yan A1 Wang, Tianchen A1 Nelson, Jacob A1 Ports, Dan R. K. A1 Wang, Yipeng A1 Wang, Ren A1 Tai, Charlie A1 Kim, Nam Sung YR 2023 SN 2378-203X K1 Nonvolatile memory K1 Memory management K1 Random access memory K1 Prototypes K1 Throughput K1 Software K1 Hardware K1 cache-coherent interconnects and accelerators K1 RDMA K1 heterogeneous and disaggregated memory K1 datacenters SP 499 OP 515 LK http://dx.doi.org/https://doi.org/10.1109/HPCA56546.2023.10071127 DO https://doi.org/10.1109/HPCA56546.2023.10071127 SF ELIB - SuUB Bremen
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