The University of Arizona

Peter Bailey

Contact Info:

Peter E. Bailey
(651) 808-4770

Email address:


I am a Ph.D. student in computer science at the University of Arizona, working with Professor David Lowenthal. I am interested in power-aware runtime systems, high-performance computing, GPUs, and machine learning.

Current project: Creating a runtime system and bounding performance for power-constrained parallel applications.

Curriculum Vitae:


External Links:

  • Google Scholar profile

  • Github code profile

  • Linkedin profile

  • I formerly worked here

  • Google code profile

  • Publications:

  • "Finding the Limits of Power-Constrained Application Performance"
    Presented at the International Conference for High Performance Computing, Networking, Storage and Analysis, 2015 (SC15).

  • "A Run-Time System for Power-Constrained HPC Applications"
    Accepted to the International Supercomputing Conference.

  • "Massively Parallel Simulations of Hemodynamics in the Primary Large Arteries of the Human Vasculature"
    Accepted to the 2015 International Conference on Computational Science.

  • "Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems"
    Presented at the 43rd annual International Conference on Parallel Processing.

  • "Quantitaive Trait Locus Analysis Using a Partitioned Linear Model on a GPU Cluster"
    Presented at the 11th IEEE International Workshop on High Performance Computational Biology.

  • "Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors"
    Presented at the 2009 International Conference on Parallel Processing (ICPP).