| Reference: | 縮短集合競價秒數提升交易效能. (2013, May 28). TWSE 臺灣證券交易所. Retrieved March 14, 2014, from http://www.twse.com.tw/ch/about/press_room/tsec_news_detail.php?id=11972 [Reducing Cycle Time of Call Auction to Increase Performance. (2013, May 28). TWSE Taiwan Stock Exchange. Retrieved March 14, 2014, from http://www.twse.com.tw/ch/about/press_room/tsec_news_detail.php?id=11972]
Andonie, R., Chronopoulos, A. T., Grosu, D., & Galmeanu, H. (1998, October). Distributed backpropagation neural networks on a PVM heterogeneous system. In Parallel and Distributed Computing and Systems Conference (PDCS`98) (p. 555).
Dahl, G., McAvinney, A., & Newhall, T. (2008, February). Parallelizing neural network training for cluster systems. In Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks (pp. 220-225). ACTA Press.
Feng, A. (2013). Spark and Hadoop at Yahoo: Brought to you by YARN [Slides]. Retrieved March 21, 2014, from http://ampcamp.berkeley.edu/wp-content/uploads/2013/07/andy-feng-ampcamp-3-presentation-Spark_on_YARN.pdf
Ganeshamoorthy, K., & Ranasinghe, D. N. (2008, May). On the performance of parallel neural network implementations on distributed memory architectures. In Cluster Computing and the Grid, 2008. CCGRID`08. 8th IEEE International Symposium on (pp. 90-97). IEEE.
Grant, J. (2013, November 12). Asia stock exchanges and watchdogs grapple with HFT dilemma. Financial Times. Retrieved March 14, 2014, from http://www.ft.com/cms/s/0/5ff181f6-4b4c-11e3-8c4c-00144feabdc0.html
GTSM to Re-adjust Securities Matching Time to 15 seconds Starting July 1, 2013. (2013, June 28). GreTai Securities Market. Retrieved March 14, 2014, from http://hist.gretai.org.tw/en/about/news/otc_news/otc_news_detail.php?doc_id=783
Gu, R., Shen, F., & Huang, Y. (2013, October). A parallel computing platform for training large scale neural networks. In Big Data, 2013 IEEE International Conference on (pp. 376-384). IEEE.
Haldane, A. (2010). Patience and finance. Remarks at the Oxford China Business Forum, Beijing.
Jones, R. D., Lee, Y. C., Barnes, C. W., Flake, G. W., Lee, K., Lewis, P. S., & Qian, S. (1990, June). Function approximation and time series prediction with neural networks. In Neural Networks, 1990., 1990 IJCNN International Joint Conference on (pp. 649-665). IEEE.
Kaastra, I., & Boyd, M. (1996). Designing a neural network for forecasting financial and economic time series. Neurocomputing, 10(3), 215-236.
Kenett, D. Y., Ben-Jacob, E., & Stanley, H. E. (2013). How High Frequency Trading Affects a Market Index. Scientific reports, 3.
Kimoto, T., Asakawa, K., Yoda, M., & Takeoka, M. (1990, June). Stock market prediction system with modular neural networks. In Neural Networks, 1990., 1990 IJCNN International Joint Conference on (pp. 1-6). IEEE.
Kingsley, T., Phadnis, K., & Stone, G. (2013, June 11). HFT: Perspectives from Asia-Part I. Bloomberg Tradebook. Retrieved March 14, 2014, from http://www.bloombergtradebook.com/blog/hft-perspectives-from-asia-part-i/
Kwong, R. (2011, November 18). Taiwan Stock Exchange plans IT upgrade. Financial Times. Retrieved March 14, 2014, from http://www.ft.com/cms/s/0/f9803820-0fa4-11e1-a468-00144feabdc0.html
Liu, Z., Li, H., & Miao, G. (2010, August). MapReduce-based backpropagation neural network over large scale mobile data. In Natural Computation (ICNC), 2010 Sixth International Conference on (Vol. 4, pp. 1726-1730). IEEE.
Pethick, M., Liddle, M., Werstein, P., & Huang, Z. (2003, November). Parallelization of a backpropagation neural network on a cluster computer. In International conference on parallel and distributed computing and systems (PDCS 2003).
Popper, N. (2012, October 14). High-Speed Trading No Longer Hurtling Forward. The New York Times. Retrieved March 14, 2014, from http://www.nytimes.com/2012/10/15/business/with-profits-dropping-high-speed-trading-cools-down.html
Price, M. (2013, October 7). Asia Goes Slow on High-Speed Trading. MoneyBeat - The Wall Street Journal. Retrieved March 14, 2014, from http://blogs.wsj.com/moneybeat/2013/10/07/asia-goes-slow-on-high-speed-trading/
Ranasinghe, D. (2014, April 2). Are markets rigged? Asia experts weigh in on debate. CNBC. Retrieved April 6, 2014, from http://www.cnbc.com/id/101546147
Scala Documentation. (n.d.). Scala Documentation. Retrieved March 21, 2014, from http://docs.scala-lang.org/
Sudhakar, V., & Murthy, C. S. R. (1998). Efficient mapping of backpropagation algorithm onto a network of workstations. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 28(6), 841-848.
Suresh, S., Omkar, S. N., & Mani, V. (2005). Parallel implementation of back-propagation algorithm in networks of workstations. Parallel and Distributed Systems, IEEE Transactions on, 16(1), 24-34.
White, H. (1988, July). Economic prediction using neural networks: The case of IBM daily stock returns. In Neural Networks, 1988., IEEE International Conference on (pp. 451-458). IEEE.
Xin, R. S., Rosen, J., Zaharia, M., Franklin, M. J., Shenker, S., & Stoica, I. (2013, June). Shark: SQL and rich analytics at scale. In Proceedings of the 2013 international conference on Management of data (pp. 13-24). ACM.
Yoon, H., Nang, J. H., & Maeng, S. R. (1990, October). A distributed backpropagation algorithm of neural networks on distributed-memory multiprocessors. In Frontiers of Massively Parallel Computation, 1990. Proceedings., 3rd Symposium on the (pp. 358-363). IEEE.
Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J., McCauley, Franklin M. J., Shenker, S., & Stoica, I. (2012, April). Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. In Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation (pp. 2-2). USENIX Association. |
