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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195271
Abstract: Heterogeneous computing relies on collaboration among different types of processors on shared data. In systems with discrete accelerators (e.g., GP-GPU), data sharing requires transferring a large amount of data between CPU and accelerator memories and…
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Keywords:
overlapping computation;
data transfer;
heterogeneous computing;
demand memcpy ... See more keywords