Scholar
Patrick Diehl
Google Scholar ID: TapM4vAAAAAJ
Los Alamos National Laboratory
Citations & Impact
Citations
1,129
H-index
16
i10-index
27
Publications
20
Co-authors
132
list available
Publications
Resume (English only)
Academic Achievements
- Co-author of the book 'Parallel C++: Efficient and Scalable High-Performance Parallel Programming Using HPX'. Serves as a topic editor for the Journal of Open Source Software (JOSS). Actively contributes to the ISO C++ SG20 working group.
Research Experience
- Currently a research scientist specializing in Applied Computer Science at Los Alamos National Laboratory and an adjunct faculty member in the Department of Physics & Astronomy at Louisiana State University. Previously, he was a research scientist at the Center for Computation and Technology at LSU and a postdoctoral fellow at the Laboratory for Multiscale Mechanics at Polytechnique Montreal.
Education
- Diploma in Computer Science from the University of Stuttgart; Ph.D. in Applied Mathematics from the University of Bonn.
Background
- Research interests include quantum computing simulations, high-performance computing (especially asynchronous many-task systems like HPX and Kokkos), computational engineering (focusing on peridynamic material models for application in solids), and developing new numerical methods for non-local models. Passionate about advancing openness in science.
Miscellany
- Committed to teaching high-performance computing to both staff and students, with a broader focus on higher education.
