References
- Beaumont, O., Boudet, V., Legrand, A., Rastello, F., & Robert, Y. (2001). Heterogeneous matrix-matrix multiplication or partitioning a square into rectangles: Np-completeness and approximation algorithms//Parallel and Distributed processing, 2001. Proceedings Ninth EuromicroWorkshop (pp. 298–13). IEEE.
- Clarke, D., Lastovetsky, A., & Rychkov, V. (2012). Column-based matrix partitioning for parallel matrix multiplication on heterogeneous processors based on functional performance models. Euro-par 2011: parallel processing Workshops (pp. 450–459). Springer.
- DeFlumere, A. (2014). Optimal partitioning for parallel matrix computation on a small number of abstract heterogeneous processors [PhD thesis]. University College Dublin. P. 161.
- DeFlumere, A., & Lastovetsky, A. (2014). Optimal data partitioning shape for matrix multiplication on three fully connected heterogeneous processors, Euro-Par 2014WS, HeteroPar 2014. Twelfth International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (pp. 201–214.
- Lastovetsky, A. L. (2007). On grid-based matrix partitioning for heterogeneous processors//ISPDC.
- Zhong, Z., Rychkov, V., & Lastovetsky, A. (2011). Data partitioning on heterogeneous multicore platforms//Cluster Computing (CLUSTER). 2011 IEEE International Conference (pp. 580–584). IEEE.
- Zhong, Z., Rychkov, V., & Lastovetsky, A. (2012). Data partitioning on heterogeneous multicore and multi-GPU systems using functional performance models of data-parallel applications. Cluster Computing (CLUSTER), 2012 IEEE International Conference (pp. 191–199). IEEE.