Dynamic Binary Vectorization in Enhanced HQEMU
碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 107 === Auto vectorization techniques have been adopted by compilers to exploit data-level parallelism in parallel processing for decades. However, since processor architectures have kept enhancing with new features to improve vector/SIMD performance, legacy applica...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/9mwuvj |