Shelby Lockhart
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Shelby Lockhart

PhD in Computer Science

University of Illinois at Urbana-Champaign

Bio

I am a recent PhD recipient from the CS Department at UIUC. I was advised by Luke Olson and additionally worked closely with Bill Gropp and Amanda Bienz.

My primary research interest is in the design of efficient strategies for large-scale data movement through the use of novel message passing algorithms to communicate data between distinct compute nodes within a distributed system.

My dissertation work primarily focused on designing efficient communication strategies within the context of scalable iterative solvers for emerging supercomputer architectures, however, these strategies are data type and application independent.

Recent technological advancements, such as cloud computing and trends within AI, necessitate the management and processing of data volumes at massive-scale. Data movement within these contexts can benefit from the same locality-aware strategies I designed within my dissertation work and plan to continue researching in the future.

Here, please find my full Curriculum Vitae.

Interests

  • High Performance Computing
  • Node-Aware/ Locality-Aware Distributed Communication
  • Parallel Computing
  • Scientific Computing
  • Scalable Iterative Solvers
  • Low Synchronization Numerical Algorithms

Education

  • PhD in Computer Science, 2023

    University of Illinois at Urbana-Champaign

  • BS in Mathematics/ Computer Science, 2016

    Wake Forest University

Committees

  • ExaMPI23: Workshop on Extreme Scale MPI

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