Abstract
Since 2013, China’s supercomputer has been ranked first in the global supercomputer rankings, and now the United States has returned to its peak, engineers at the US Department of Energy’s Oak Ridge National Laboratory released “Summit,” a supercomputer with powerful performance that surpasses the current record holder: China’s Shenwei·Taihu Light. AI has played an important role in recent development of supercomputer systems. In this paper, we discuss the opportunities and challenges of future supercomputer systems based on the thinking of AI.
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
References
Sykes, E.R., Mirkovic, A.: A fully parallel and scalable implementation of a Hopfield neural network on the SHARC-net supercomputer. In: 19th International Symposium on High Performance Computing Systems and Applications (HPCS 2005), Guelph, ON, Canada, pp. 103–109 (2005)
Miyano, S.: Revolutionizing cancer genomic medicine by AI and supercomputer with big data. In: 2018 IEEE Symposium on VLSI Technology, Honolulu, HI, pp. 7–11 (2018)
Meek, T., Barham, H., Beltaif, N., Kaadoor, A., Akhter, T.: Managing the ethical and risk implications of rapid advances in artificial intelligence: a literature review. In: 2016 Portland International Conference on Management of Engineering and Technology (PICMET), Honolulu, HI, pp. 682–693 (2016)
Kepner, J., et al.: TabulaROSA: tabular operating system architecture for massively parallel heterogeneous compute engines. In: 2018 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, pp. 1–8 (2018)
Keinan, S., Frush, E.H., Shipman, W.J.: Leveraging cloud computing for in-silico drug design using the quantum molecular design (QMD) framework. Comput. Sci. Eng. 20(4), 66–73 (2018)
Huang, Y., Wang, W., Wang, L., Tan, T.: Conditional high-order Boltzmann machines for supervised relation learning. IEEE Trans. Image Process. 26(9), 4297–4310 (2017)
Huang, Y., Wang, W., Wang, L.: Video super-resolution via bidirectional recurrent convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(4), 1015–1028 (2018)
Barnell, M., Raymond, C., Capraro, C., Isereau, D., Cicotta, C., Stokes, N.: High-performance computing (HPC) and machine learning demonstrated in flight using Agile Condor®. In: 2018 IEEE High Performance extreme Computing Conference (HPEC), Waltham, MA, pp. 1–4 (2018)
Kahle, J.A., Moreno, J., Dreps, D.: 2.1 summit and sierra: designing AI/HPC supercomputers. In: 2019 IEEE International Solid- State Circuits Conference - (ISSCC), San Francisco, CA, USA, pp. 42–43 (2019)
Hu, J.R., Chen, J., Liew, B., Wang, Y., Shen, L., Cong, L.: Systematic co-optimization from chip design, process technology to systems for GPU AI chip. In: 2018 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA), Hsinchu, pp. 1–2 (2018)
Hu, J.R., Chen, J., Liew, B., Wang, Y., Shen, L., Cong, L.: Systematic co-optimization from chip design, process technology to systems for GPU AI chip. In: 2018 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), Hsinchu, pp. 1–2 (2018)
Schaefers, L., Platzner, M.: Distributed Monte Carlo tree search: a novel technique and its application to computer go. IEEE Trans. Comput. Intell. AI Games 7(4), 361–374 (2015)
Codreanu, V., Podareanu, D., Saletore, V.: Large minibatch training on supercomputers with improved accuracy and reduced time to train. In: 2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC), Dallas, TX, USA, pp. 67–76 (2018)
IEEE 802 Nendica Report: The Lossless Network for Data Centers: IEEE 802 Nendica Report: The Lossless Network for Data Centers, pp. 1–29, 17 August 2018
Lee, J., Lee, C.Y., Kim, C., Kalchuri, S.: Micro bump system for 2nd generation silicon interposer with GPU and high bandwidth memory (HBM) concurrent integration. In: 2018 IEEE 68th Electronic Components and Technology Conference (ECTC), San Diego, CA, pp. 607–612 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Yujuan, J., Xiangyang, L., Binlai, A. (2020). AI Based Supercomputer: Opportunities and Challenges. In: Yu, Q. (eds) Space Information Networks. SINC 2019. Communications in Computer and Information Science, vol 1169. Springer, Singapore. https://doi.org/10.1007/978-981-15-3442-3_5
Download citation
DOI: https://doi.org/10.1007/978-981-15-3442-3_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3441-6
Online ISBN: 978-981-15-3442-3
eBook Packages: Computer ScienceComputer Science (R0)