high-performance modeling of beam dynamics in particle accelerators with collective effects
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Updated
Apr 3, 2026 - C++
high-performance modeling of beam dynamics in particle accelerators with collective effects
High-performance parallel bi-directional BFS implementation optimized for large-scale graphs using OpenMP, achieving sub-40ms traversal on million-node datasets with adaptive direction switching and lock-free frontier construction.
SystemRDL 2.0 language compiler front-end
Benchmarks for the sparse matrix–vector multiplication (SpMV) with matrix formats in TNL.
A high-performance implementation of Sparse Matrix-Vector Multiplication in C++ with serial, parallel (OpenMP), and GPU-accelerated (CUDA) versions, demonstrating the performance benefits of parallelism across different architectures.
Comparison of PageRank algorithm using various datatypes.
Template repository for custom backends in MS Annika.
Compute the graph minor when given the cluster configuration. Implemented in three versions using OpenMPI, pthreads and OpenCilk.
Secure unlocking over Wifi with a remote control
(R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")
A parallel packed CSR data structure for large-scale dynamic graphs
A Method for efficiently processing SpMV using SIMD and load balancing
Graph Reorder And Converter (e.g, Parallel OpenMP Implementation of Edge List to CSR with Sorted Neighbors) - by Yulin Che (https://github.com/CheYulin)
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