Using advanced computing to solve complex problems.
Advances in computing technology have rapidly transformed the methodology of scientific investigation. Computation is now regarded as an equal and indispensable partner, along with theory and experiment, in the advance of scientific knowledge and engineering practice. Computational scientists and engineers can now solve large-scale problems that were once thought intractable. Furthermore, parallel computing is now making enormous impacts in medical imaging, in data analysis and visualization of complex laboratory experiments, and in extracting information from accumulated data sequences, such as DNA. UCLA faculty play a key role in addressing current and future crucial concerns for the nation. Their research, enabled by computational science, is already advancing the frontier of high-energy physics, achieving fusion energy, moving towards nanosystems in information technology, improving power generation efficiency, preventing corrosion of metals, and predicting the earth’s weather and climate.
Computational Resources for UCLA Researchers: