莫扎特:软件成熟度设计和芯片架构的下一个范例

2021 IEEE Hot Chips 33 Symposium (HCS) Pub Date : 2021-08-22 DOI:10.1109/HCS52781.2021.9567306

K. Sankaralingam, Tony Nowatzki, G. Wright, Poly Palamuttam, Jitu Khare, Vinay Gangadhar, Preyas Shah

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引用次数: 3

摘要

人工智能硬件/软件目前处于什么位置?1. 支持人工智能所需的计算多样性正在增加。用户对软件体验的期望越来越高。GPU软件成熟度*在完整性上是无与伦比的，因此在人工智能行业部署和研究人员中几乎完全占据主导地位。这种对模型多样性的支持正在推动这些趋势，并增加GPU的采用!* NVIDIA DL堆栈- cuDNN, TensorRT等。

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Mozart: Designing for Software Maturity and the Next Paradigm for Chip Architectures

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.

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2021 IEEE Hot Chips 33 Symposium (HCS)

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