Publications

Export 7 results:
Filters: Keyword is dense linear algebra  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
Baboulin, M., J. Dongarra, J. Herrmann, and S. Tomov, Accelerating Linear System Solutions Using Randomization Techniques,” ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013. DOI: 10.1145/2427023.2427025  (358.79 KB)
L
Luszczek, P., J. Kurzak, and J. Dongarra, Looking Back at Dense Linear Algebra Software,” Journal of Parallel and Distributed Computing, vol. 74, issue 7, pp. 2548–2560, July 2014. DOI: 10.1016/j.jpdc.2013.10.005  (1.79 MB)
S
Song, F., and J. Dongarra, A Scalable Approach to Solving Dense Linear Algebra Problems on Hybrid CPU-GPU Systems,” Concurrency and Computation: Practice and Experience, vol. 27, issue 14, pp. 3702-3723, September 2015. DOI: 10.1002/cpe.3403  (8.16 MB)
W
Wong, K., S. Tomov, D. Nichols, R. Febbo, F. Lopez, J. Halloy, and X. Ma, How to Build Your Own Deep Neural Network : PEARC20, July 2020.  (18.8 MB)
Wu, W., A. Bouteiller, G. Bosilca, M. Faverge, and J. Dongarra, Hierarchical DAG scheduling for Hybrid Distributed Systems,” 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.  (1.11 MB)