3 citations · 4 across the 11 of their papers we have counts for
3 papers · 1 filter
DISORF: A Distributed Online 3D Reconstruction Framework for Mobile Robots
Chunlin Li, Hanrui Fan, Xiaorui Huang +3
We present a framework, DISORF, to enable online 3D reconstruction and visualization of scenes captured by resource-constrained mobile robots and edge devices. To address the limit…
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
Christina Giannoula, Peiming Yang, Ivan Fernandez +7
Graph Neural Networks (GNNs) are emerging ML models to analyze graph-structure data. Graph Neural Network (GNN) execution involves both compute-intensive and memory-intensive kerne…
ACS: Concurrent Kernel Execution on Irregular, Input-Dependent Computational Graphs
Sankeerth Durvasula, Adrian Zhao, Raymond Kiguru +3
GPUs are widely used to accelerate many important classes of workloads today. However, we observe that several important emerging classes of workloads, including simulation engines…