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2020 – today
- 2023
[j3]James D. Trotter
, Johannes Langguth, Xing Cai:
Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS. Parallel Comput. 118: 103051 (2023)- [c3]Konstantin Pogorelov, James D. Trotter, Johannes Langguth:
Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features. Euro-Par Workshops (1) 2023: 135-146 - [c2]James D. Trotter, Sinan Ekmekçibasi, Johannes Langguth, Tugba Torun, Emre Düzakin, Aleksandar Ilic, Didem Unat:
Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. SC 2023: 31:1-31:13 - [c1]Sergej Breiter, James D. Trotter, Karl Fürlinger:
Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX. SC Workshops 2023: 1334-1342 - 2022
- [j2]James D. Trotter, Xing Cai, Simon W. Funke:
On Memory Traffic and Optimisations for Low-order Finite Element Assembly Algorithms on Multi-core CPUs. ACM Trans. Math. Softw. 48(2): 19:1-19:31 (2022) - 2020
- [j1]James D. Trotter, Johannes Langguth, Xing Cai:
Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix-vector multiplication. J. Parallel Distributed Comput. 144: 189-205 (2020)
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