TY - JOUR
T1 - A survey on processing-in-memory techniques
T2 - Advances and challenges
AU - Asifuzzaman, Kazi
AU - Miniskar, Narasinga Rao
AU - Young, Aaron R.
AU - Liu, Frank
AU - Vetter, Jeffrey S.
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2023/7
Y1 - 2023/7
N2 - Processing-in-memory (PIM) techniques have gained much attention from computer architecture researchers, and significant research effort has been invested in exploring and developing such techniques. Increasing the research activity dedicated to improving PIM techniques will hopefully help deliver PIM's promise to solve or significantly reduce memory access bottleneck problems for memory-intensive applications. We also believe it is imperative to track the advances made in PIM research to identify open challenges and enable the research community to make informed decisions and adjust future research directions. In this survey, we analyze recent studies that explored PIM techniques, summarize the advances made, compare recent PIM architectures, and identify target application domains and suitable memory technologies. We also discuss proposals that address unresolved issues of PIM designs (e.g., address translation/mapping of operands, workload analysis to identify application segments that can be accelerated with PIM, OS/runtime support, and coherency issues that must be resolved to incorporate PIM). We believe this work can serve as a useful reference for researchers exploring PIM techniques.
AB - Processing-in-memory (PIM) techniques have gained much attention from computer architecture researchers, and significant research effort has been invested in exploring and developing such techniques. Increasing the research activity dedicated to improving PIM techniques will hopefully help deliver PIM's promise to solve or significantly reduce memory access bottleneck problems for memory-intensive applications. We also believe it is imperative to track the advances made in PIM research to identify open challenges and enable the research community to make informed decisions and adjust future research directions. In this survey, we analyze recent studies that explored PIM techniques, summarize the advances made, compare recent PIM architectures, and identify target application domains and suitable memory technologies. We also discuss proposals that address unresolved issues of PIM designs (e.g., address translation/mapping of operands, workload analysis to identify application segments that can be accelerated with PIM, OS/runtime support, and coherency issues that must be resolved to incorporate PIM). We believe this work can serve as a useful reference for researchers exploring PIM techniques.
KW - Near memory computing
KW - Novel and emerging memory technologies
KW - Processing-in-memory
UR - http://www.scopus.com/inward/record.url?scp=85164277092&partnerID=8YFLogxK
U2 - 10.1016/j.memori.2022.100022
DO - 10.1016/j.memori.2022.100022
M3 - Article
AN - SCOPUS:85164277092
SN - 2773-0646
VL - 4
JO - Memories - Materials, Devices, Circuits and Systems
JF - Memories - Materials, Devices, Circuits and Systems
M1 - 100022
ER -