Funder
National Research Foundation of Korea (NRF) grant funded by the Korea Government
ICT Research and Development Program of MSIP/IITP, developing system software technologies for emerging new memory that adaptively learn workload characteristics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Cited by
5 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. STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining;Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2;2023-01-27
2. Memory Access Characteristics of Neural Network Workloads and Their Implications;2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2022-12-18
3. Classification and Characterization of Memory Reference Behavior in Machine Learning Workloads;2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD);2022-12-07
4. Analyzing Memory Access Traces of Deep Learning Workloads for Efficient Memory Management;2022 12th International Conference on Information Technology in Medicine and Education (ITME);2022-11
5. Reducing the Overhead of Virtual Memory Swapping by Considering Application Characteristics and Memory Situations;2022 12th International Conference on Information Technology in Medicine and Education (ITME);2022-11