Abstract
Recognizing the unsustainability in designing power hungry HPC systems, in the recent years an effort towards an energy and performance efficient HPC design is on the rise. Based on the available data on top green HPC systems, in this paper we analyze the main components of the HPC system with the attempt to provide an insight into the green efficiency in line with the technology development. Using global scale measurements, our goal is to discover the most promising designs and pinpoint on the existing main challenges that should direct future research efforts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kindratenko, V., Trancoso, P.: Trends in High-Performance Computing. In: Novel Architectures, Computing in Science and Engineering. IEEE (2011)
Feng, W., Cameron, K.W.: The Green500 List: Encouraging Sustainable Supercomputing. IEEE Computer, 50–55 (2007)
Feng, W., Lin, H.: The Green500 List: Year Two (2009), http://www.green500.org
Liu, Y., Zhu, H.: A survey of the research on power management techniques for high-performance systems. Soft. Pract. Exper. 40, 943–964 (2010)
Bortolotti, D., Carbone, A., Galli, D., Lax, I., Marconi, U., Peco, G., Perazzini, S., Vagnoni, V.M., Zangoli, M.: Comparison of UDP Transmission Performance Between IP-Over-InfiniBand and 10-Gigabit Ethernet. IEEE Tran. on Nuc. Sci. 58(4), 1606–1612 (2011)
Reano, C., Mayo, R., Quintana-Orti, E.S., Silla, F., Duato, J., Pena, A.J.: Influence of InfiniBand FDR on the performance of remote GPU virtualization. In: IEEE International Conference on Cluster Computing (CLUSTER), pp. 1–8 (2013)
Krieder, S.J., Raicu, I.: An Overview of Current and Future Computing Accelerator Architectures. In: 1st Greater Chicago Area System Research Workshop Poster Session (2012)
Jeong, H., et al.: Performance of Kepler GTX Titan GPUs and Xeon Phi System. Journal of Computational Physics, PoS (LATTICE 2013), 423 (2013)
Teodoro, G., Kurc, T., Kong, J., Cooper, L., Saltz, J.: Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU. In: Distributed, Parallel and Cluster Computing. Cornell University Library (2013)
Kindratenko, V.V., Enos, J.J., Shi, G., Showerman, M.T., Arnold, G.W., Stone, J.E., Phillips, J.C., Hwu, W.: GPU Clusters for High-Performance Computing. In: IEEE International Conference on Cluster Computing and Workshops (2009)
Hermmert, S.: Green HPC From Nice to Necessity. IEEE Comp. in Sci. and Eng. (2010)
Loken, C., et al.: SciNet: Lessons Learned from Building a Power-efficient Top-20 System and Data Centre. J. Phys. Conf. Ser. 256, 012026 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Filiposka, S., Mishev, A., Juiz, C. (2015). Opportunities and Challenges for Green HPC. In: Bogdanova, A., Gjorgjevikj, D. (eds) ICT Innovations 2014. ICT Innovations 2014. Advances in Intelligent Systems and Computing, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-319-09879-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-09879-1_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09878-4
Online ISBN: 978-3-319-09879-1
eBook Packages: EngineeringEngineering (R0)