Rauchwerger receives TEES Senior Faculty Fellow Award

Lawrence RauchwergerEppright Professor Lawrence Rauchwerger was selected as a Texas A&M Engineering Experiment Station (TEES) Senior Faculty Fellow. Faculty selected as TEES Fellows for a third year receive the Senior Faculty designation. The principal purpose of the senior award is to recognize long-term outstanding research performance. Rauchwerger will be formally recognized at an awards ceremony this spring.

The TEES Fellows Program encompasses the TEES Select Young Faculty and the TEES Fellow/Senior Fellow awards and recognizes faculty members who have made continuous contributions in research for their department. TEES is an engineering research agency of the State of Texas and a member of The Texas A&M University System.

Rauchwerger joined the Department of Computer Science and Engineering at Texas A&M University in 1996. He holds a degree in electronic engineering from the Polytechnic Institute Bucharest, Romania, a master's in electrical engineering from Stanford University, and a doctoral degree in computer science from the University of Illinois at Urbana-Champaign. His research interests are in compilers for parallel and distributed computing, parallel and distributed C++ libraries, adaptive runtime optimizations, and architectures for parallel computing.

He is co-director of Parasol Lab, a research facility for the development of algorithms and applications, in which he manages the software and systems group. He is the deputy director and researcher of the Institute of Applied Mathematics and Computational Sciences at Texas A&M and assistant director of the Center for Large Scale Simulations.

He has been honored with several awards for his work in computer science including the Halliburton Fellowship Award, the TEES Select Young Faculty and TEES Fellow Awards (2002, 2005), an IBM Faculty Award, an Intel Faculty Award, and the NSF Faculty Early Career Development (CAREER) Award. He is an IEEE Fellow and ACM Distinguished Scientist. His research paper, "Adaptive Reduction Parallelization Techniques," was selected in 2014 for publication in the ACM International Conference on Supercomputing 25th Anniversary Volume.