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2020 – today
- 2024
[c3]Qidong Su
, Jiacheng Yang, Gennady Pekhimenko:
BOOM: Use your Desktop to Accurately Predict the Performance of Large Deep Neural Networks. PACT 2024: 284-296- [i6]Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si:
A Survey on Deep Learning for Theorem Proving. CoRR abs/2404.09939 (2024) - [i5]Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si:
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts. CoRR abs/2406.13161 (2024) - 2023
- [c2]Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si:
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. APLAS 2023: 310-331 - [i4]Qidong Su, Christina Giannoula, Gennady Pekhimenko:
The Synergy of Speculative Decoding and Batching in Serving Large Language Models. CoRR abs/2310.18813 (2023) - [i3]Qidong Su, Chuqin Geng, Gennady Pekhimenko, Xujie Si:
TorchProbe: Fuzzing Dynamic Deep Learning Compilers. CoRR abs/2310.20078 (2023) - 2021
- [i2]Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis:
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR abs/2112.15345 (2021) - 2020
- [c1]Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis:
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC 2020: 36-44 - [i1]Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis:
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR abs/2010.05337 (2020)
Coauthor Index
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