KV-CSD: A Hardware-Accelerated Key-Value Store for Data-Intensive Applications-Reference-Cited by-同舟云学术

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KV-CSD: A Hardware-Accelerated Key-Value Store for Data-Intensive Applications

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Cluster Computing (CLUSTER)
language:
Short-container-title:

Author:

Park Inhyuk¹,Zheng Qing²,Manno Dominic²,Yang Soonyeal¹,Lee Jason²,Bonnie David²,Settlemyer Bradley³,Kim Youngjae⁴,Chung Woosuk¹,Grider Gary²

Affiliation:

1. SK Hynix

2. Los Alamos National Laboratory

3. NVIDIA

4. Sogang University

Funder

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319881/10319941/10319961.pdf?arnumber=10319961

Reference90 articles.

1. LANL, NERSC, SNL;Crossroads Workflows,2018

2. Active disks

3. On the role of burst buffers in leadership-class storage systems

4. Parallel I/O, analysis, and visualization of a trillion particle simulation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. BandSlim: A Novel Bandwidth and Space-Efficient KV-SSD with an Escape-from-Block Approach;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

2. Enhancement of Convolutional Neural Network Hardware Accelerators Efficiency Using Sparsity Optimization Framework;IEEE Access;2024

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