University of Twente Student Theses
TrackScorer : Skyrmion Logic-In-Memory Accelerator for Document Ranking
Noorlander, M.S. (2024) TrackScorer : Skyrmion Logic-In-Memory Accelerator for Document Ranking.
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| Abstract: | Skyrmion racetrack memories have shown to have lower leakage power and higher density compared to traditional memories like DRAM/SRAM. The cost of these memories comes with the penalty of time to shift data to an access port. Logic-In-Memory can be used to perform operations on data in memory without first transferring the data to a CPU. In this paper, the popular document ranking algorithm Quickscorer is mapped onto Skyrmion racetrack memory to use the advantages of this new memory technology. This mapping uses a Logic-In-Memory accelerator to improve performance on Skyrmion racetrack memories. The results show a decrease in the number of read and write operations that are performed, and in some cases show a decrease in the time spent shifting during the document ranking process. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 53 electrotechnology, 54 computer science |
| Programme: | Embedded Systems MSc (60331) |
| Link to this item: | https://purl.utwente.nl/essays/99835 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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