Adaptive runtime exploiting sparsity in tensor of deep learning on heterogeneous systems
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 105 === Heterogeneous computing achieves high performance by exploiting high parallelism and special type of computation (such as SIMD operations) available in applications on best fit computation devices. For example, massive and regular SIMD operations can be more ef...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46739294222658497904 |