Search Results for author:
Found 3 papers, 0 papers with code
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision
Homotopy Continuation (HC) can solve more complex problems without the stability issues, and with guarantees of a global solution, but they are known to be slow.
Integrating Deep Learning in Domain Sciences at Exascale
This paper discusses the necessities of an HPC deep learning framework and how those needs can be provided (e. g., as in MagmaDNN) through a deep integration with existing HPC libraries, such as MAGMA and its modular memory management, MPI, CuBLAS, CuDNN, MKL, and HIP.
On Deep Neural Networks for Detecting Heart Disease
To this end, we investigate the potential of using data analysis, and in particular the design and use of deep neural networks (DNNs) for detecting heart disease based on routine clinical data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
