Lab Fellow, Advanced Computing, Math & Data
Lab Fellow, Advanced Computing, Math & Data


Andrew Lumsdaine is an internationally recognized expert in the area of high-performance computing who has made important contributions in many of the constitutive areas of HPC. In particular, he has contributed in the areas of HPC systems, programming languages, software libraries, and performance modeling. His work in HPC has been motivated by data-driven problems (large-scale graph analytics), as well as more traditional computational science problems. In addition, outside of the realm of HPC, he has done seminal work in the area of computational photography and plenoptic cameras. In his career, he has published more than 200 articles in top journals and conferences and holds 15 patents. Dr. Lumsdaine also has contributed important software artifacts to the research community, especially in the area of Message Passing Interface (MPI). He also is active in a number of standardization efforts with important contributions to the MPI specification, the C++ programming language, and the Graph 500.

Research Interest

  • High-performance Computing
  • Parallel and Distributed Computing
  • Visualization, Computer Vision, and Graphics
  • Computational Photography
  • Programming Languages
  • Graph Algorithms
  • Generic Programming


  • 1992, Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)
  • 1988, Electrical Engineering, MIT
  • 1986, S.M.E.E., MIT
  • 1984, S.B.E.E., MIT

Affiliations and Professional Service

  • The Association for Computing Machinery
  • The Institute of Electrical and Electronic Engineers
  • The Society for Industrial and Applied Mathematics

Awards and Recognitions

  • 2015, IEEE Senior Member
  • 1996, CSE Department Undergraduate Teaching Award
  • 1995, NSF CAREER Award
  • 1993, NASA-ASEE Summer Faculty Fellowship
  • 1987-1990, American Electronics Association/Dynatech Faculty Development Fellowship
  • 1984-1985, General Motors Graduate Fellowship



  • Kanewala Appuhamilage T.J., M.J. Zalewski, and A. Lumsdaine. 2017. "Distributed-Memory Fast Maximal Independent Set." In IEEE High Performance Extreme Computing Conference (HPEC 2017), September 12-14, 2017, Waltham, Massachusetts, 1-7. Piscataway, New Jersey:IEEE. PNNL-SA-129122. doi:10.1109/HPEC.2017.8091032
  • Kanewala Appuhamilage T.J., M.J. Zalewski, and A. Lumsdaine. 2017. "Families of Graph Algorithms: SSSP Case Study." In 23rd International Conference on Parallel and Distributed Computing (Euro-Par 2017), August 28-September 1, 2017, Santiago de Compostela, Spain. Lecture Notes in Computer Science, 10417, 428-441. Cham:Springer. PNNL-SA-125369.doi:10.1007/978-3-319-64203-1_31