Dynamic Kernel Consolidation and Scheduling: Improving Performance of Irregular Applications with Dynamic Parallelism on GPUs
博士 === 國立臺灣大學 === 資訊工程學研究所 === 105 === The demand of accelerating irregular applications, which often operate on unstructured data sets such as trees, graphs, or sparse matrices, and therefore have dynamic, workload-dependent nested thread-level parallelism with hard to predict parallelism degree, o...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/74345312688893284523 |