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COMPRIZE: Assessing the Fusion of Quantization and Compression on DNN Hardware Accelerators
Patel, V. ; Shah, N. ; Krishna, A. ; Ronak, A. ; Issac, T. G.FZJ* ; Mekie, J.
2024
IEEE
20242024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID) : [Proceedings] - IEEE, 2024. - ISBN 979-8-3503-8440-6 - doi:10.1109/VLSID60093.2024.00048
2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID), KolkataKolkata, India, 6 Jan 2024 - 10 Jan 20242024-01-062024-01-10
IEEE 1-10 (2024) [10.1109/VLSID60093.2024.00048]2024
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Please use a persistent id in citations: doi:10.1109/VLSID60093.2024.00048
Contributing Institute(s):
- JARA Institut Green IT (PGI-10)
Research Program(s):
- 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
- BMBF 16ME0399 - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0399) (BMBF-16ME0399)
- BMBF 16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0398K) (BMBF-16ME0398K)
- BMBF 03ZU1106AB - NeuroSys: "Memristor Crossbar Architekturen (Projekt A) - B" (BMBF-03ZU1106AB) (BMBF-03ZU1106AB)
Appears in the scientific report
2024
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