Professor Shantenu Jha and his collaborators have won the 2018 IEEE International Scalable Computing Challenge (SCALE) award. Each year, the IEEE recognizes a project that advances application development and supporting infrastructure to enable the large-scale, high-performance computing needed to solve such problems. This year’s winner, “Enabling Trade-off Between Accuracy and Computational Cost: Adaptive Algorithms to Reduce Time to Clinical Insight,” is the result of a collaboration between Professor Jha and his collaborators at Rutgers University, U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, and University College London. The team members were honored at the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing held in Washington DC.
Please see a nice article on Shantenu's accomplishment in HPCwire here.