Parallel Algorithms and Data Structures for Sparse Matrices

Dear Colleagues,

Many scientific and engineering computations are based on the solution of large sparse-matrix problems. Though many efficient sparse matrix storage formats and corresponding parallel algorithms have been proposed, there are new challenges emerging in this research domain on a daily basis. Recent advances in HPC hardware and software may render the existing solutions ineffective. For example, the most powerful supercomputer is now based on the ARM CPU architecture and the fast HMB2 memory, emerging exascale supercomputers were announced to utilize new Nvidia A100 and AMD Radeon Instinct accelerators, and new software computational frameworks are being developed such as Intel oneAPI and AMD ROCm. This special issue is dedicated to the recent advances in sparse-matrix data structures and parallel algorithms, primarily those reflecting the actual and future changes in HPC environments.

Dr. Daniel Langr
Guest Editor

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• sparse matrix
• parallel algorithm
• data structure
• storage format
• high-performance computing