Name:Nathan R. Tallent

Bio:

Nathan Tallent is a distinguished computer scientist within the Future Computing Technologies Group at Pacific Northwest National Laboratory. His research is motivated by emerging challenges in distributed systems, scientific workflows, machine learning, and data management. He leads activities in continuum computing and the Performance Lab for EXtreme Computing and daTa where his contributions have spanned the challenges of performance measurement, modeling, bottleneck diagnosis, and optimization; and includes special attention to bottlenecks in networks, storage, and memory. He has made notable contributions to performance tools, both for performance modeling and for parallel performance analysis. He has more than 80 peer-reviewed publications, serves on several reviewing committees, and received the DOE Early Career award. He is one of the original developers of HPCToolkit, a widely used suite of performance tools on supercomputers. He received a Ph.D. in 2010 from Rice University and is a member of IEEE and ACM.

Affiliation:Pacific Northwest National Laboratory

Research interests:scientific workflows, scalable AI systems, performance modeling, hardware/software co-design