11 citations · 11 across the 2 of their papers we have counts for
3 papers
Understanding and Reducing Metadata-Driven Host Overheads in Sampling-Based GNN Training
Yidong Gong, Saima Afrin, Yuchen Ma +3
Modern deep learning workloads increasingly exhibit dynamic, metadata-driven execution, where runtime-generated information determines memory provisioning and kernel launch decisio…
Optimizing 3D Gaussian Splattering for Mobile GPUs
Md Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh +5
Image-based 3D scene reconstruction, which transforms multi-view images into a structured 3D representation of the surrounding environment, is a common task across many modern appl…
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile
Wei Niu, Md Musfiqur Rahman Sanim, Zhihao Shu +5
This work is motivated by recent developments in Deep Neural Networks, particularly the Transformer architectures underlying applications such as ChatGPT, and the need for performi…