Beschrijving
TensorInference, a package for exact probabilistic inference in discrete graphical models, capitalizes on recent tensor network advancements. Its tensor-based engine features optimized contraction ordering methods, an aspect vital to computational performance. Additionally, it incorporates optimized BLAS routines and GPU technology for enhanced efficiency. In a comparative evaluation with similar libraries, TensorInference demonstrates superior scalability for models of increasing complexity.| Periode | 10 jul. 2024 |
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| Evenementstitel | JuliaCon 2024 |
| Evenementstype | Congres |
| Locatie | Eindhoven, NederlandToon op kaart |
| Mate van erkenning | Internationaal |
Documenten & links
Gerelateerde inhoud
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Onderzoeksoutput
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TensorInference: A Julia package for tensor-based probabilistic inference
Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review