GAMMA: Automating the HW Mapping of DNN Models on Accelerators via Genetic Algorithm

DNN layers are multi-dimensional loops that can be ordered, tiled, and scheduled in myriad ways across space and time on DNN accelerators. Each of these choices is called a mapping. It has been shown that the mapping plays an extremely crucial role in overall performance and efficiency, as it direct...

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Bibliographische Detailangaben
Veröffentlicht in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design S. 1 - 9
Hauptverfasser:	Kao, Sheng-Chun, Krishna, Tushar
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Association on Computer Machinery 02.11.2020
Schlagworte:	Computational modeling Computer architecture DNN accelerators DNN models domain-specific genetic algorithm GAMMA Genetic Algorithm genetic algorithms HW mapping ML accelerator multidimensional loops neural nets Optimization methods optimized mapping Parallel processing per-layer mappings Reconfigurable device search problems Space exploration Two dimensional displays
ISSN:	1558-2434
Online-Zugang:	Volltext
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