OLCF users employ Titan supercomputer to understand circulating tumor cells, sickle cell anemia, drug delivery

15 Oct 2015 - Eric Gedenk reports on the OLCF site on a team of researchers from Brown University and ETH Zurich, the Universita da Svizzera Italiana (USI) and Consiglio Nazionale delle Ricerche (CNR) are using America's largest, most powerful supercomputer to help understand and fight diseases affecting some of the body's smallest building blocks. Researcher Yu-Hang Tang and his collaborators exploited Titan's GPU accelerators and developed uDeviceX, a GPU-driven particle solver - an important part of the team's code that helps plot individual particles in the simulation. Tang's new solver showed a forty-five-fold decrease in time to solution compared with competing state-of-the-art methods. Gedenk continues: "Moreover, Tang's extensive work with GPUs has led to the team's newest computational tool - the multiscale universal interface (MUI). The team's research interests require a variety of different codes, with certain computing architectures working better with certain codes and different architectures benefitting other codes. It also gives the team freedom to focus specific solvers for different scales simultaneously."
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