| dc.contributor.author | Johansen, Joakim Foss | |
| dc.date.accessioned | 2022-10-05T22:00:12Z | |
| dc.date.available | 2022-10-05T22:00:12Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Johansen, Joakim Foss. Heterogeneous system-on-chip for AI computing. Master thesis, University of Oslo, 2022 | |
| dc.identifier.uri | http://hdl.handle.net/10852/97022 | |
| dc.description.abstract | The topic of research for this thesis has been to understand the architecture of the Nvidia Tegra Xavier system on chip for running deep learning inference with TensorRT. | eng |
| dc.language.iso | eng | |
| dc.subject | System-on-chip Tegra Xavier TensorRT Deep learning | |
| dc.title | Heterogeneous system-on-chip for AI computing | eng |
| dc.type | Master thesis | |
| dc.date.updated | 2022-10-05T22:00:12Z | |
| dc.creator.author | Johansen, Joakim Foss | |
| dc.type.document | Masteroppgave | |