Kathryn Mohror is a computer scientist on the Scalability Team at the Center for Applied Scientific
Computing at Lawrence Livermore National Laboratory (LLNL). Kathryn’s research on high-end
computing systems is currently focused on scalable fault tolerant computing and I/O for extreme
scale systems. Her other research interests include scalable performance analysis and tuning, and
parallel programming paradigms. Kathryn has been working at LLNL since 2010.
Kathryn’s current research focuses primarily on the Scalable Checkpoint/Restart Library (SCR), a
multilevel checkpointing library that has been shown to significantly reduce checkpointing
overhead. She also leads the Tools Working Group for the MPI Forum. Kathryn received her Ph.D.
in Computer Science in 2010, an M.S. in Computer Science in 2004, and a B.S. in Chemistry in
1999 from Portland State University (PSU) in Portland, OR.
Big Data Analytics
Performance Analysis and Optimization
System Software & Runtime Systems