Paper Info
Title
22.1 A 1.1v 16gb 640gb/S Hbm2e Dram With A Data-Bus Window-Extension Technique And A Synergetic On-Die Ecc Scheme
Abstract
Rapidly evolving artificial intelligence (Al) technology, such as deep learning, has been successfully deployed in various applications: such as image recognition, health care, and autonomous driving. Such rapid evolution and successful deployment of Al technology have been possible owing to the emergence of accelerators, such as GPUs and TPUs, that have a higher data throughput. This, in turn, requires an enhanced memory system with large capacity and high bandwidth [1]; HBM has been the most preferred high-bandwidth memory technology due to its high-speed and low-power characteristics, and 1024 IOs facilitated by 2.5D silicon interposer technology, as well as large capacity realized by through-silicon via (TSV) stack technology [2]. Previous-generation HBM2 supports 8GB capacity with a stack of 8 DRAM dies (i.e., 8-high stack) and 341GB/s (2.7Gb/s/pin) bandwidth [3]. The HBM industry trend has been a speed improvement of 15~20% every year, while capacity increases by 1.5-2x every two years. In this paper, we present a 16GB HBM2E with circuit and design techniques to increase its bandwidth up to 640GB/s (5Gb/s/pin), while providing stable bit-cell operation in the 2nd generation of a 10nm DRAM process: featuring (1) a data-bus window-extension technique to cope with reduced $t_{cco}$ , (2) a power delivery network (PDN) designed for stable operation at a high speed, (3) a synergetic on-die ECC scheme to reliably provide large capacity, and (4) an MBIST solution to efficiently test large capacity memory at a high speed.
Year
DOI
Venue
2020
10.1109/ISSCC19947.2020.9063110
2020 IEEE INTERNATIONAL SOLID- STATE CIRCUITS CONFERENCE (ISSCC)
DocType
ISSN
Citations 
Conference
0193-6530
0
PageRank 
References 
Authors
0.34
0
35
Name
Order
Citations
PageRank
Chi Sung Oh1938.94
Ki Chul Chun200.34
Young-Yong Byun300.34
Yong-Ki Kim422.12
Soyoung Kim516822.15
Yesin Ryu621.55
Jaewon Park711.73
Sinho Kim800.34
Sang-uhn Cha980.76
Dong-Hak Shin1051.46
Jungyu Lee1100.34
Jong-Pil Son12284.78
Byung-Kyu Ho1300.34
Seong Jin Cho1463.28
Beomyong Kil1500.34
Sungoh Ahn1611.05
Baekmin Lim1700.34
Yong-Sik Park18131.13
Kijun Lee1900.34
Myung-Kyu Lee2000.34
Seungduk Baek2100.34
Jun-yong Noh2238427.22
Jae-Wook Lee2326320.15
Seungseob Lee2400.34
Soo-Young Kim2503.72
Bo-Tak Lim2600.34
Seouk-Kyu Choi2710.71
Jin-Guk Kim28959.18
Hye-In Choi2901.35
Hyuk-Jun Kwon3001.01
Jun Jin Kong3100.34
Kyomin Sohn3200.34
Nam Sung Kim333268225.99
Kwang-Il Park3400.34
Jung-Bae Lee3517917.70