4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.PF2024
DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads
Qidong Zhao, Hao Wu, Yuming Hao +4
Effective performance profiling and analysis are essential for optimizing training and inference of deep learning models, especially given the growing complexity of heterogeneous c…
cs.DC2024★ 2 cited
FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing
Hao Wu, Junxiao Deng, Minchen Yu +5
Serverless computing has gained significant traction for machine learning inference applications, which are often deployed as serverless workflows consisting of multiple CPU and GP…
cs.CV2024★ 4 cited
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
Jing Zhang, Irving Fang, Juexiao Zhang +7
Lithic Use-Wear Analysis (LUWA) using microscopic images is an underexplored vision-for-science research area. It seeks to distinguish the worked material, which is critical for un…