Study of Bandwidth Partitioning for Co-executing GPU Kernels
Co-executing GPU kernels on a partitioned GPU has been shown to improve utilization efficiency of poorly scaling tasks. While kernels can be executed in parallel, data transfers to the GPU are serial which can negatively impact parallelism and predictability of the kernels.In this work we implement...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2017
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-332806 |