应用的筛选条件

Intel® PCC for Scientific Rendering is to research and develop visualization techniques for Intel hardware.

In collaboration with NYU, LBNL, and Intel we propose to use energy physics experiments.

MegaMol was designed as a modular, GPU-centric visualization framework.

The aim of this project is to demonstrate the solving quantum chemistry problems.

Founded in 1896, Shanghai Jiao Tong University (SJTU) is the second oldest university in China.

Quantum Monte Carlo (QMC) has emerged as an important tool for extreme-scale calculations of complex material.

The Science of High Performance Computing Group at UT Austin works on fundamental aspects of computer science.

Molecular dynamics is a highly compute-intensive simulation tool for determining the thermodynamic.

CSC – IT Center Science will, in collaboration with researchers in atmospheric- and environmental science.

NERSC Big Data Center is to solve DOE’s leading data-intensive science problems.

Intel® PCC at the SDSC is led by Prof. Ross, Dr. Amit Majumdar and Dr. Andreas and focuses on distinct projects.

Biology and medicine are increasingly fueled by data, especially data from DNA sequencers.