In January 2022, CHP’s researchers Dr. Adam Woods and Dr. Aprinda Indahlastari participated in Georgia Tech’s GPU Hackathon seeking to optimize computational brain science applications, while teaming up with UF’s Artificial Intelligence Initiative partners at NVIDIA and OpenACC.
“During the hackathon, the UF-NVIDIA team worked to improve processing speed for a UF study that uses artificial intelligence technology to develop precision dosing for a non-pharmaceutical treatment aimed at preventing dementia. Using UF’s powerful supercomputer, the Hipergator, the team drastically improved the processing time for evaluating tens of thousands of data points collected from an individual brain. At the outset of the hackathon, the team’s algorithm took nearly 15 hours to analyze the data from one brain. After optimizing the code throughout the hackathon, the processing speed is now more than 40 times faster, dropping the run time to just half an hour per brain.”*
UF will host a virtual hackathon in March 2022 and encourages interested parties to apply.
UF team members included Adam Woods, Ph.D., an associate professor and associate director of the Center for Cognitive Aging and Memory at UF’s McKnight Brain Institute, Aprinda Indahlastari, Ph.D., a research assistant professor of Clinical and Health Psychology, Ruogu Fang, Ph.D., an assistant professor of Biomedical Engineering, and Alejandro Albizu, a doctoral student in Neuroscience.
NVIDIA team members included Oded Green, Ph.D., a solutions architect, Kaleb Smith, Ph.D., a senior data scientist, and Jingchao Zhang, Ph.D., NVIDIA’s resident scientist at the UF NVIDIA AI Technology Center.
*To view the full article visit this PHHP LINK.