Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications-Reference-Cited by-同舟云学术

Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications

Published:2023-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
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Author:

Yuan Yifan¹,Huang Jinghan¹,Sun Yan¹,Wang Tianchen¹,Nelson Jacob²,Ports Dan R. K.²,Wang Yipeng³,Wang Ren³,Tai Charlie³,Kim Nam Sung¹

Affiliation:

1. University of Illinois at Urbana-Champaign

2. Microsoft Research

3. Intel Labs

Funder

National Science Foundation

Publisher

IEEE

Link

Reference180 articles.

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