ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-Based Systems.
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Details
| Original language | Undefined |
|---|---|
| Pages (from-to) | 103691-103708 |
| Number of pages | 18 |
| Journal | IEEE access |
| Volume | 9 |
| Publication status | Published - 2021 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85111018516 |
|---|