과제정보
연구 과제 주관 기관 : 충남대학교
참고문헌
- He, Bingsheng, et al. "Relational joins on graphics processors." Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM, 2008.
- Rui, Ran, Hao Li, and Yi-Cheng Tu. "Join algorithms on GPUs: A revisit after seven years." Big Data (Big Data), 2015 IEEE International Conference on. IEEE, 2015.
- 박준용, "다중 레벨 저장 시스템에서 해쉬 기반의 다중 공간 조인 기법", 인하대학교, 2005.
- Agbaria, Adnan, et al. "Overtaking CPU DBMSes with a GPU in Whole-Query Analytic Processing with Parallelism-Friendly Execution Plan Optimization." International Workshop on In-Memory Data Management and Analytics. Springer, Cham, 2016.
- Yabuta, Makoto, et al. "Relational Joins on GPUs: A Closer Look." IEEE Transactions on Parallel and Distributed Systems (2017).
- Devarajan, N., S. Navneeth, and S. Mohanavalli. "Gpu accelerated relational hash join operation." Advances in Computing, Communications and Informatics (ICACCI), 2013 International Conference on. IEEE, 2013.
- Shehab, Esraa, Alsayed Algergawy, and Amany Sarhan. "Accelerating relational database operations using both CPU and GPU co-processor." Computers & Electrical Engineering 57 (2017): 69-80. https://doi.org/10.1016/j.compeleceng.2016.12.014
- Wu, Haicheng, et al. "Red fox: An execution environment for relational query processing on gpus." Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization. ACM, 2014.
- NVIDIA , NVIDIA 차세대 CUDA 컴퓨팅 아키텍처, https://www.nvidia.co.kr/content/apac/pdf/tesla/nvidia-kepler-gk110-architecture-whitepaper-kr.pdf
- Sang-Won Ha and Tack-Don Han, "A Scalable Work-Efficient and Depth-Optimal Parallel Scan for the GPGPU Environment," Parallel and Distributed Systems, IEEE Transactions on, vol.24, no.12, pp.2324- 2333, Dec. 2013. https://doi.org/10.1109/TPDS.2012.336
- Ahn, Jung Ho, Mattan Erez, and William J. Dally. "Scatter-add in data parallel architectures," HighPerformance Computer Architecture, 2005. HPCA11. 11th International Symposium on. IEEE, pp.132-142, Feb. 12-16, 2005.
- Jong-Sub Lee, Sang-Back Lee and Kyu-Chul Lee, "A Study on the Improvement of Performance of Join Operations based on GPGPU Parallel Computing", Korean DataBase Conference 2017, Nov. 24-25, 2017.