当前的英特尔® 并行计算中心

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.

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

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

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

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

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

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

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

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