Research on Vectorization Technology for Irregular Data Access

Author:

Qi Wang,Lin Han,Jinyang Yao,Hui Liu

Publisher

Springer Singapore

Reference13 articles.

1. Wei, G., Cai, Z.R., Lin, H., et al.: Research on SIMD Auto-vectorization compiling optimization. J. Softw. 26(6), 1265–1284 (2015)

2. Song, D., Chen, S.: Exploiting SIMD for complex numerical predicates. In: IEEE, International Conference on Data Engineering Workshops, pp. 143–149. IEEE Computer Society (2016)

3. Tian, X., Saito, H., Preis, S.V., et al.: Effective SIMD vectorization for intel Xeon Phi coprocessors. Sci. Program. 2015, 1–14 (2015)

4. Diken, E.E., Jordans, R.R., O’Riordan, M.: MoviCompile: an LLVM based compiler for heterogeneous SIMD code generation (2015)

5. Kansal, R., Kumar, S.: A vectorization framework for constant and linear gradient filled regions. Vis. Comput. 31(5), 717–732 (2015)

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