James D. Trotter

According to our database, James D. Trotter authored at least 11 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ucTrace: A Multi-Layer Profiling Tool for UCX-driven Communication.

Emir Gencer, Mohammad Kefah Taha Issa, Ilyas Turimbetov, James D. Trotter, Didem Unat

CoRR, February, 2026

Cache partitioning for sparse matrix-vector multiplication on the A64FX.

Sergej Breiter, James D. Trotter, Karl Fürlinger

Parallel Comput., 2026

Performance and Programmability of MPI+X Integration with CUDA, HIP, SYCL, OpenACC, and OpenMP Offloading for Supercomputing: A Case Study on Dense Matrix-Vector Multiplication.

Ezhilmathi Krishnasamy, James D. Trotter, Xing Cai, Dirk Pleiter, Leon Kos, Laura Saavedra, Pascal Bouvry

Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, 2026

2025

CPU- and GPU-initiated Communication Strategies for Conjugate Gradient Methods on Large GPU Clusters.

James D. Trotter, Sinan Ekmekçibasi, Dogan Sagbili, Johannes Langguth, Xing Cai, Didem Unat

Proceedings of the International Conference for High Performance Computing, 2025

Modelling Load Imbalance In Shared Memory Multicore Systems.

Johannes Langguth, James D. Trotter, Xing Cai

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

2023

Targeting performance and user-friendliness: GPU-accelerated finite element computation with automated code generation in FEniCS.

James D. Trotter, Johannes Langguth, Xing Cai

Parallel Comput., November, 2023

Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs.

James D. Trotter, Sinan Ekmekçibasi, Johannes Langguth, Tugba Torun, Emre Düzakin, Aleksandar Ilic, Didem Unat

Proceedings of the International Conference for High Performance Computing, 2023

Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX.

Sergej Breiter, James D. Trotter, Karl Fürlinger

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Performance Prediction for Sparse Matrix Vector Multiplication Using Structure-Dependent Features.

Konstantin Pogorelov, James D. Trotter, Johannes Langguth

Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023

2022

On Memory Traffic and Optimisations for Low-order Finite Element Assembly Algorithms on Multi-core CPUs.

James D. Trotter, Xing Cai, Simon W. Funke

ACM Trans. Math. Softw., 2022

2020

Cache simulation for irregular memory traffic on multi-core CPUs: Case study on performance models for sparse matrix-vector multiplication.

James D. Trotter, Johannes Langguth, Xing Cai

J. Parallel Distributed Comput., 2020