On memory traffic and optimisations for low-order finite element assembly algorithms on multi-core CPUs." ACM Trans. Math. Software 48, no. 2 (2022): 1-31."
Modeling cardiac mechanics using a cell-based framework In Yokohama, Japan. 15th World Congress on Computational Mechanics (WCCM-XV), 2022.
Resource-efficient use of modern processor architectures for numerically solving cardiac ionic cell models." Frontiers in Physiology 13 (2022)."
Automated Code Generation for GPU-Based Finite Element Computations in FEniCS. SIAM Conference on Computational Science and Engineering (CSE21): SIAM, 2021.
Efficient numerical solution of the EMI model representing the extracellular space (E), cell membrane (M) and intracellular space (I) of a collection of cardiac cells." Frontiers in Physics 8 (2021): 579461."
On the impact of heterogeneity-aware mesh partitioning and non-contributing computation removal on parallel reservoir simulations." Journal of Mathematics in Industry 11 (2021)."
iPUG for multiple Graphcore IPUs: Optimizing performance and scalability of parallel breadth-first search In 28th IEEE International Conference on High Performance Computing, Data, & Analytics (HiPC). Bangalore, India: IEEE, 2021.
Operator Splitting and Finite Difference Schemes for Solving the EMI Model." In Modeling Excitable Tissue: The EMI Framework, edited by A. Tveito, K. Mardal and M. E. Rognes, 44-55. Vol. 7. Cham: Springer International Publishing, 2021."
Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix–vector multiplication." Journal of Parallel and Distributed Computing 144 (2020): 189-205."
Efficient simulations of patient-specific electrical heart activity on the DGX-2. GPU Technology Conference (GTC) 2020, Silicon Valley, USA: Nvidia, 2020.
Towards detailed Organ-Scale Simulations in Cardiac Electrophysiology. GPU Technology Conference (GTC), Silicon Valley, San Jose, USA, 2020.
Balancing the numerical and parallel performance for reservoir simulations In SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA., 2019.
Combining algorithmic rethinking and AVX-512 intrinsics for efficient simulation of subcellular calcium signaling In International Conference on Computational Science (ICCS 2019). Springer, 2019.
Compiling finite element variational forms for GPU-based assembly In FEniCS‘19, Washington DC, USA., 2019.
Heterogeneous computing for cardiac electrophysiology In PREAPP workshop on Efficient Frameworks for Compute- and Data-intensive Computing (EFFECT), University of Tromsø, Norway., 2019.
Performance optimization and modeling of fine-grained irregular communication in UPC." Scientific Programming 2019 (2019): Article ID 6825728."
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia In Computing in Cardiology. Vol. 46. IEEE, 2019.
Towards Detailed Real-Time Simulations of Cardiac Arrhythmia. International Conference in Computing in Cardiology, Singapore, 2019.
Unstructured computational meshes and data locality In Fifth Workshop on Programming Abstractions for Data Locality (PADAL'19), Inria Bordeaux, France., 2019.
Education in HPC and Data Science at Simula Research Lab and UiO In SUPERDATA Workshop on curriculum development, Yunan, China., 2018.
Heterogeneous Computing: Programming, Performance and Applications In CoSaS 2018 Symposium, Erlangen, Germany., 2018.
Memory Bandwidth Contention: Communication vs Computation Tradeoffs in Supercomputers with Multicore Architectures In International Conference on Parallel and Distributed Systems (ICPADS), Edited by Y. Zou. Singapore: ACM/IEEE, 2018.
Quantifying data traffic of sparse matrix-vector multiplication in a multi-level memory hierarchy. London, UK, 2018.
Towards Detailed Organ-Scale Simulations in Cardiac Electrophysiology. International Symposium on Computational Science at Scale (CoSaS), Erlangen, Germany, 2018.
Unstructured mesh partitioning in the presence of strong coefficient heterogeneity In PDESoft 2018 Conference, Bergen, Norway., 2018.