Publications

Some of our recent papers:¶
* Markidis, S. Physics-Informed Deep-Learning for Scientific Computing, submitted to Frontiers.
* Karp M, Podobas A, Jansson N, Kenter T, Plessl C, Schlatter P, Markidis S. High-Performance Spectral Element Methods on Field-Programmable Gate Arrays. Accepted at IPDPS 2021.
* Chien SW, Podobas A, Peng IB, Markidis S. tf-Darshan: Understanding Fine-grained I/O Performance in Machine Learning Workloads. Cluster 2020
* Markidis S, Peng I, Podobas A, Jongsuebchoke I, Bengtsson G, Herman P. Automatic Particle Trajectory Classification in Plasma Simulations. AI4S Workshop at SC20.
* Markidis S, Olshevsky V, Toth G, Chen Y, Peng I, Lapenta G, Gombosi T. Kinetic Modeling of Magnetospheres. AGU Book.
* Karp M, Jansson N, Podobas A, Schlatter P, Markidis S. Optimization of tensor-product operations in Nekbone on GPUs. Poster at SC20.