A 16-Kb 1T1C DRAM Supporting Conventional and Compute-in-Memory Access Modes

In this paper, we propose a 16-Kb 1T1C DRAM with compute-in-memory (CIM) access mode for applying in various DRAM-based CIM applications. Unlike conventional DRAM (CD) access mode, which accesses all 64-bit data in a row over several operation cycles, the CIM access mode can access all 64-bit data in a row in just one operation cycle. This DRAM model was designed using 28-nm CMOS technology. By using the CIM access mode, memory operation achieves 8x faster compute speeds than that in CD access mode.

Authors

Institutions

Publication Details

Published
2024-08-19
DOI
https://doi.org/10.1109/isocc62682.2024.10762116
Citations
1
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 16-Kb 1T1C DRAM Supporting Conventional and Compute-in-Memory Access Modes

Joo‐Hyung Chae, Hosung Lee, Jiwon Lee, Hyeonjun Cheon et al.
1 citations
Semiconductor materials and devices
0.21
article

A 16-Kb 1T1C DRAM Supporting Conventional and Compute-in-Memory Access Modes

Joo‐Hyung Chae, Hosung Lee, Jiwon Lee, Hyeonjun Cheon, Ik-Hyeon Jeon
article en
1 citations

Abstract

In this paper, we propose a 16-Kb 1T1C DRAM with compute-in-memory (CIM) access mode for applying in various DRAM-based CIM applications. Unlike conventional DRAM (CD) access mode, which accesses all 64-bit data in a row over several operation cycles, the CIM access mode can access all 64-bit data in a row in just one operation cycle. This DRAM model was designed using 28-nm CMOS technology. By using the CIM access mode, memory operation achieves 8x faster compute speeds than that in CD access mode.

Kwangwoon University (KR)
Affordable and clean energy
Openalex Percentile: Top 46%
Semiconductor materials and devices
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.