Amanda: Unified Instrumentation Framework for Deep Neural Networks-Reference-Cited by-同舟云学术

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Amanda: Unified Instrumentation Framework for Deep Neural Networks

Published:2024-04-17 Issue: Volume:4 Page:1-18
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1
language:
Short-container-title:

Author:

Guan Yue¹²^ORCID,Qiu Yuxian¹²^ORCID,Leng Jingwen¹³^ORCID,Yang Fan⁴^ORCID,Yu Shuo¹^ORCID,Liu Yunxin⁵⁶^ORCID,Feng Yu⁷^ORCID,Zhu Yuhao⁷^ORCID,Zhou Lidong⁴^ORCID,Liang Yun⁸^ORCID,Zhang Chen¹^ORCID,Li Chao¹^ORCID,Guo Minyi¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Shanghai Qi Zhi Institute, Shanghai, China

3. Shanghai Qizhi Institute, Shanghai, China

4. Microsoft Research, Beijing, China

5. Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China

6. Shanghai Artificial Intelligence Laboratory, Shanghai, China

7. University of Rochester, New York, United States of America

8. Peking University, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China (NSFC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617232.3624864

Reference84 articles.

1. 2019. NVIDIA APEX. https://github.com/NVIDIA/apex.

2. 2021. TorchProfile. https://github.com/zhijian-liu/torchprofile.

3. 2022. OneFlow OpCounter. https://github.com/Oneflow-Inc/flow-OpCounter.

4. 2023. TensorBoard. https://tensorboard.dev/.

5. 2023. CUDA Profiling Tools Interface. https://docs.nvidia.com/cupti/.

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