Accelerating Linked-list Traversal Through Near-Data Processing

Author:

Hong Byungchul1,Kim Gwangsun1,Ahn Jung Ho2,Kwon Yongkee3,Kim Hongsik3,Kim John1

Affiliation:

1. Korea Advanced Institute of Science and Technology, Daejeon, South Korea

2. Seoul National University, Seoul, South Korea

3. SK Hynix, Icheon, South Korea

Publisher

ACM

Reference48 articles.

Cited by 26 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. MVC: Enabling Fully Coherent Multi-Data-Views through the Memory Hierarchy with Processing in Memory;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

2. Affinity Alloc: Taming Not-So Near-Data Computing;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

3. An Integrated Solution to Improve Performance of In-Memory Data Caching With an Efficient Item Retrieving Mechanism and a Near-Memory Accelerator;IEEE Access;2023

4. Towards Hardware Accelerated Garbage Collection with Near-Memory Processing;2022 IEEE High Performance Extreme Computing Conference (HPEC);2022-09-19

5. HybriDS;Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures;2022-07-11

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