IEEE

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models

Abstract: Foundation models are in the process of becoming the dominant deep learning technology. Pretraining a foundation model is always time-consuming due to the large scale of both the model ...

Imec mitigates thermal bottleneck in 3D HBM-on-GPU architectures using a system-technology co-optimization approach

Imec mitigates thermal bottleneck in 3D HBM-on-GPU architectures using a system-technology co-optimization approach ...
IEEE

3D Shape Classification by Registration: Neural-Network-Free and Training-Free

Abstract: Point cloud classification, crucial for discriminative 3D shape analysis, has witnessed significant progress through the application of deep learning. A significant research focus has been ...
Business Wire

Stratasys Digital Anatomy™ Technology Powers First 3D-Printed Eyelid Surgery Training Models in Europe

Addion and the University of Innsbruck advance surgical education with life-like anatomical models that enhance the skill sets of medical professionals and improve patient outcomes Using Stratasys’ ...
GitHub

FastGS: Training 3D Gaussian Splatting in 100 Seconds

🚀 What Makes FastGS Special? FastGS is a general acceleration framework that supercharges 3D Gaussian Splatting training while maintaining Comparable rendering quality. Our method stands out with: ...