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- W4312391286 abstract "A variety of high-performance computing devices opens up many opportunities for numerical simulation in science and industry. Therefore, there is a growing need to investigate approaches for heterogeneous programming that allow developing and using a single code for different devices, sometimes with minor modifications to improve performance. In this paper, we explore the efficiency of using SYCL (Data Parallel C++) and KOKKOS to develop portable codes solving the graph coloring problem. We employ the commonly used Catalyurek algorithm, implement it on C++/OpenMP, SYCL (DPC++) and KOKKOS, and evaluate performance on Intel CPUs and GPUs. The paper discusses approaches of optimization performance that allow getting portable codes that run efficiently on both CPUs and GPUs. It is shown that performance portability takes place for this algorithm. We hope that our results can be used by researchers who implement graph algorithms for high-performance computing devices of various architectures." @default.
- W4312391286 created "2023-01-04" @default.
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- W4312391286 date "2022-01-01" @default.
- W4312391286 modified "2023-10-16" @default.
- W4312391286 title "High-Performance Graph Coloring on Intel CPUs and GPUs Using SYCL and KOKKOS" @default.
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- W4312391286 doi "https://doi.org/10.1007/978-3-031-24145-1_21" @default.
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