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Dense lower–upper (LU) factorization (hereafter referred to as LU) is a critical kernel that is widely used to solve dense linear algebra problems. Hybrid LU algorithms have been well designed to exploit the full capacity of heterogeneous systems. However, existing heterogeneous implementations are typically CPU-centric, which rely highly on CPU cores and suffer from a large amount of data transfers...
Energy consumption is increasingly becoming a critical issue in HPC. There is a broad consensus that future exascale-computing will be strongly constrained by energy consumption. Heterogeneous systems usually feature higher energy efficiency than homogeneous ones since the former employ coprocessors that provide higher GFlops/Watt than CPUs. Thus, it is of great importance to better utilize the coprocessors...
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