article · 2014
Hwu, “Gpu clusters for high-performance computing
Volodymyr V. Kindratenko, Jeremy J. Enos, Guochun Shi, Michael T. Showerman, Galen W. Arnold, John E. Stone, James C. Phillips, Wen-mei Hwu
Cited by 0Abstract and details only
Abstract
Abstract—Large-scale GPU clusters are gaining popularity in the scientific computing community. However, their deployment and production use are associated with a number of new challenges. In this paper, we present our efforts to address some of the challenges with building and running GPU clusters in HPC environments. We touch upon such issues as balanced cluster architecture, resource sharing in a cluster environment, programming models, and applications for GPU clusters. I.
Cite this paper
Kindratenko, V. V., Enos, J. J., Shi, G., Showerman, M. T., Arnold, G. W., Stone, J. E., Phillips, J. C., & Hwu, W.-M. (2014). Hwu, “Gpu clusters for high-performance computing.
Kindratenko, Volodymyr V., et al. “Hwu, “Gpu clusters for high-performance computing.” 2014.
Kindratenko, Volodymyr V., Jeremy J. Enos, Guochun Shi, Michael T. Showerman, Galen W. Arnold, John E. Stone, James C. Phillips, and Wen-mei Hwu. 2014. “Hwu, “Gpu clusters for high-performance computing.”
Kindratenko, V.V. et al. (2014) ‘Hwu, “Gpu clusters for high-performance computing’.
@article{kindratenko2014clusters,
title = {{Hwu, “Gpu clusters for high-performance computing}},
author = {Kindratenko, Volodymyr V. and Enos, Jeremy J. and Shi, Guochun and Showerman, Michael T. and Arnold, Galen W. and Stone, John E. and Phillips, James C. and Hwu, Wen-mei},
year = {2014}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.