GRNN-Reference-Cited by-同舟云学术

GRNN

Published:2019-03-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fourteenth EuroSys Conference 2019
language:
Short-container-title:

Author:

Holmes Connor¹,Mawhirter Daniel¹,He Yuxiong²,Yan Feng³,Wu Bo¹

Affiliation:

1. Department of Computer Science, Colorado School of Mines, Golden, Colorado

2. Microsoft Business AI and Research, Seattle, Washington

3. Department of Computer Science, University of Nevada, Reno, Nevada

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3302424.3303949

Reference42 articles.

1. Dense linear algebra on gpus. https://developer.nvidia.com/cublas. Accessed: 2018-10-1. Dense linear algebra on gpus. https://developer.nvidia.com/cublas. Accessed: 2018-10-1.

2. NVIDIA CUDA. http://www.nvidia.com/cuda. NVIDIA CUDA. http://www.nvidia.com/cuda.

3. The accelerated linear algebra compiler framework. https://www.tensorflow.org/performance/xla/ 2018. The accelerated linear algebra compiler framework. https://www.tensorflow.org/performance/xla/ 2018.

4. Nv-wavenet: Better speech synthesis using gpu-enabled wavenet inference. https://devblogs.nvidia.com/nv-wavenet-gpu-speech-synthesis/ 2018. Nv-wavenet: Better speech synthesis using gpu-enabled wavenet inference. https://devblogs.nvidia.com/nv-wavenet-gpu-speech-synthesis/ 2018.

5. Nvidia tensort - programmable inference accelerator. https://developer.nvidia.com/tensorrt 2018. Nvidia tensort - programmable inference accelerator. https://developer.nvidia.com/tensorrt 2018.

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