@inproceedings{db5ec4a6132748af802769c57248203d,
title = "Monolithic 3D+-IC based massively parallel compute-in-memory macro for accelerating database and machine learning primitives",
abstract = "This paper demonstrates the first Monolithic 3D+-IC based Compute-in-Memory (CiM) Macro performing massively parallel beyond-Boolean operations targeting database and machine learning (ML) applications. The proposed CiM technique supports data filtering, sorting, and sparse matrix-matrix multiplication (SpGEMM) operations. Our system exhibits up to 272x speedup and 151x energy savings compared to the ASIC baseline.",
author = "Ramanathan, {Akshay Krishna} and Rangachar, {Srivatsa Srinivasa} and Hung, {Je Min} and Lee, {Chun Ying} and Xue, {Cheng Xin} and Huang, {Sheng Po} and Hsueh, {Fu Kuo} and Shen, {Chang Hong} and Shieh, {Jia Min} and Yeh, {Wen Kuan} and Ho, {Mon Shu} and Govindarajan, {Hariram Thirucherai} and Jack Sampson and Chang, {Meng Fan} and Vijaykrishnan Narayanan",
note = "Funding Information: ACKNOWLEDGMENT The authors would like to thank the support of TSRI, Taiwan. This work was supported in part by Semiconductor Research Corporation (SRC) Center for Research in Intelligent Storage and Processing in Memory (CRISP). Publisher Copyright: {\textcopyright} 2020 IEEE.; 66th Annual IEEE International Electron Devices Meeting, IEDM 2020 ; Conference date: 12-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "12",
doi = "10.1109/IEDM13553.2020.9372111",
language = "English (US)",
series = "Technical Digest - International Electron Devices Meeting, IEDM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "28.5.1--28.5.4",
booktitle = "2020 IEEE International Electron Devices Meeting, IEDM 2020",
address = "United States",
}