Earticle

초록

영어

The Processing-in-Memory (PIM) paradigm is a non-von Neumann computer architecture where processing and memory functions are combined in a single location to overcome the effects of the memory wall. Prefetching is a technique used to anticipate data access patterns and proactively bring data into the processor cache to reduce memory latency. In this paper, we aim to provide insights into applicable prefetch techniques for PIM by analyzing the performance of commonly applicable prefetch techniques in a simulated PIM system. We simulate PIM systems with (i) no prefetching, (ii) next-line prefetching, (iii) stream prefetching and (iv) the Variable Length Data Prefetcher (VLDP) using a custom-built PIM simulator and the STREAM benchmark as the workload and compare their performance.

목차

Abstract
1. Introduction
1.1. Processing-in-Memory
1.2. Prefetching
2. Objectives and Methodology
2.1. Dataset
2.2. Experiment setup
3. Experiment result
4. Conclusions
Acknowledgement
References

키워드

저자

• Ronald Say Kiat Lim [ Department of Computer Science and Artificial Intelligence Jeonbuk National University ]
• Jeong-Geun Kim [ Department of Computer Science Kyungpook National University ] Corresponding Author
• Su-Kyung Yoon [ Department of Computer Science and Artificial Intelligence, Center for Advanced Image Information Technology, Jeonbuk National University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004