Finding Enclosures for Linear Systems Using Interval Matrix Multiplication in CUDA
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-55195-6_55
Reference11 articles.
1. Fujimoto, N.: Economical two-fold working precision matrix multiplication on consumer-level CUDA GPUs. In: 2011 Second Workshop on Architecture and Multi-Core Applications (WAMCA), pp. 24–29 (2011)
2. Hammer, R.: C++ Toolbox for Verified Computing. Springer, Heidelberg (1995)
3. Cui, X., Chen, Y., Mei, H.: Improving Performance of Matrix Multiplication and FFT on GPU. In: 2009 15th International Conference on Parallel and Distributed Systems (ICPADS), pp. 42–48 (2009)
4. LNCS;P-D Beck,2013
5. Jaulin, L., Kieffer, M., Didrit, O., Walter, E.: Applied Interval Analysis. Springer, London (2001)
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