Mozart: Designing for Software Maturity and the Next Paradigm for Chip Architectures
Autor: | Poly Palamuttam, Vinay Gangadhar, Tony Nowatzki, Preyas Shah, Karu Sankaralingam, Greg Wright, Jitu Khare |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | HCS |
DOI: | 10.1109/hcs52781.2021.9567306 |
Popis: | Where does AI hardware/software stand today? 1. The computational diversity needed to support AI is increasing2. The software user experience expectations is increasing3. GPU software maturity* is unrivalled in completeness and hence allows near complete dominance among AI industry deployment and researchers.4. This support for model diversity is fuelling these trends and increasing GPU adoption!* NVIDIA DL stack - cuDNN, TensorRT, etc. |
Databáze: | OpenAIRE |
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