SystemRDL 2.0 language compiler front-end
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Updated
Apr 10, 2026 - C++
SystemRDL 2.0 language compiler front-end
high-performance modeling of beam dynamics in particle accelerators with collective effects
(R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")
A Method for efficiently processing SpMV using SIMD and load balancing
A parallel packed CSR data structure for large-scale dynamic graphs
Graph Reorder And Converter (e.g, Parallel OpenMP Implementation of Edge List to CSR with Sorted Neighbors) - by Yulin Che (https://github.com/CheYulin)
Secure unlocking over Wifi with a remote control
A multi-threaded implementation of vertex-centric graph processing for CPUs.
Comparison of PageRank algorithm using various datatypes.
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.
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.
Compute the graph minor when given the cluster configuration. Implemented in three versions using OpenMPI, pthreads and OpenCilk.
Benchmarks for the sparse matrix–vector multiplication (SpMV) with matrix formats in TNL.
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