Algorithm Harnesses Supercomputers to Speed Data Crunching

Most algorithms can take six weeks to two months to process the large, complicated data sets used in creating new vaccines, medications, and treatments. FIU researcher Fahad Saeed and his team have developed an algorithm that could shorten that timeframe significantly.

The algorithm compresses data and shares it across very large machines, high-performance supercomputers. It was created to help scientists that use mass spectrometry to study proteomics (i.e., proteins in a cell, tissue, or organism). While scientists are already able to produce vaccines quickly, with this algorithm that process could be even more streamlined.

View Related Expert Profiles: Go to Source

Keyword Search