Name:Jeff Hammond

Bio:

Jeff Hammond is a Research Scientist in the Parallel Computing Lab at Intel Labs. His research interests include: one-sided and global view programming models, load-balancing for irregular algorithms, and shared- and distributed-memory tensor contractions. He has a long-standing interest in enabling the simulation of physical phenomena - primarily the behavior of molecules and materials at atomistic resolution - with massively parallel computing.

Prior to joining Intel, Jeff was an Assistant Computational Scientist at the Argonne Leadership Computing Facility and a Fellow of the University of Chicago Computation Institute. He was a Director’s Postdoctoral Fellow at Argonne from 2009 to 2011. In 2009, Jeff received his PhD in chemistry from the University of Chicago as a Department of Energy Computational Science Graduate Fellow. He graduated from the University of Washington with degrees in chemistry and mathematics in 2003.

The IEEE Technical Committee on Scalable Computing named Jeff a Young Achiever in Scalable Computing in 2014 for his work on massively parallel scientific applications and runtime systems.

Affiliation:Intel Labs

Research interests:parallel computing, programming models, computational science, quantum chemistry, tensors