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Japanese Autotuning Research: Autotuning Languages and FFT

  • Published:2018-11 Issue:11 Volume:106 Page:2056-2067
  • ISSN:0018-9219
  • Container-title:Proceedings of the IEEE
  • language:
  • Short-container-title:Proc. IEEE

Author:

Katagiri TakahiroORCID,Takahashi Daisuke

Funder

Japan Society for the Promotion of Science

JSPS KAKENHI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parallelization of Automatic Tuning for Hyperparameter Optimization of Pedestrian Route Prediction Applications using Machine Learning;Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region;2023-02-27

2. Autotuning Power Consumption and Computation Accuracy using ppOpen-AT;2022 IEEE 15th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2022-12

3. Portability of Vectorization-aware Performance Tuning Expertise across System Generations;2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2021-12

4. Super Computing: Creation of Large-Scale and High-Performance Technology for Processes of MCA by Utilizing Supercomputers;Multidisciplinary Computational Anatomy;2021-12-01

5. An Auto-tuning with Adaptation of A64 Scalable Vector Extension for SPIRAL;2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2021-06
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