Name
Title | ||
|---|---|---|
A 1ynm 1.25V 8Gb, 16Gb/s/pin GDDR6-based Accelerator-in-Memory supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep-Learning Applications |
Abstract | ||
|---|---|---|
With advances in deep-neural-network applications the increasingly large data movement through memory channels is becoming inevitable: specifically, RNN and MLP applications are memory bound and the memory is the performance bottleneck [1]. DRAM featuring processing in memory (PIM) significantly reduces data movement [1]–[4], and the system performance is enhanced by the large internal parallel ba... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ISSCC42614.2022.9731711 | 2022 IEEE International Solid- State Circuits Conference (ISSCC) |
DocType | Volume | ISBN |
Conference | 65 | 978-1-6654-2800-2 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
31 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seongju Lee | 1 | 3 | 0.40 |
| Kyuyoung Kim | 2 | 3 | 0.40 |
| Sanghoon Oh | 3 | 3 | 0.40 |
| Joonhong Park | 4 | 3 | 0.40 |
| Gimoon Hong | 5 | 3 | 0.40 |
| Dongyoon Ka | 6 | 3 | 0.40 |
| Kyudong Hwang | 7 | 3 | 0.40 |
| Jeongje Park | 8 | 3 | 0.40 |
| Kyeongpil Kang | 9 | 3 | 0.40 |
| Jungyeon Kim | 10 | 3 | 0.40 |
| Junyeol Jeon | 11 | 3 | 0.40 |
| Nahsung Kim | 12 | 3 | 0.40 |
| Yongkee Kwon | 13 | 3 | 0.40 |
| Kornijcuk Vladimir | 14 | 3 | 0.40 |
| Woojae Shin | 15 | 3 | 0.40 |
| Jongsoon Won | 16 | 3 | 0.40 |
| Minkyu Lee | 17 | 3 | 0.40 |
| Hyunha Joo | 18 | 3 | 0.40 |
| Haerang Choi | 19 | 3 | 0.40 |
| Jaewook Lee | 20 | 735 | 50.24 |
| Donguc Ko | 21 | 3 | 0.40 |
| Younggun Jun | 22 | 3 | 0.40 |
| Keewon Cho | 23 | 3 | 0.40 |
| Ilwoong Kim | 24 | 3 | 0.40 |
| Choungki Song | 25 | 3 | 0.40 |
| Chunseok Jeong | 26 | 3 | 0.40 |
| Daehan Kwon | 27 | 3 | 0.40 |
| Jieun Jang | 28 | 3 | 0.40 |
| Il Park | 29 | 3 | 0.40 |
| Junhyun Chun | 30 | 3 | 0.40 |
| Joohwan Cho | 31 | 3 | 0.40 |