Disaggregated Accelerator Management System for Cloud Data Centers

Author:

TAKANO Ryousei1,SUZAKI Kuniyasu1

Affiliation:

1. Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference14 articles.

1. [1] R. Takano, K. Suzaki, and H. Koie, “FlowOS-RM: Disaggregated resource management system,” ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (Poster), 2018.

2. [2] J. Gu, Y. Lee, Y. Zhang, M. Chowdhury, and K.G. Shin, “Efficient memory disaggregation with infiniswap,” 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI), pp.649-667, March 2017.

3. [3] Y. Shan, Y. Huang, Y. Chen, and Y. Zhang, “LegoOS: A disseminated, distributed OS for hardware resource disaggregation,” 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI), pp.69-87, Oct. 2018.

4. [4] K. Asanovic, “Firebox: A hardware building block for 2020 warehouse-scale computers,” 2014.

5. [5] K. Katrinis, D. Syrivelis, D. Pnevmatikatos, G. Zervas, D. Theodoropoulos, I. Koutsopoulos, K. Hasharoni, D. Raho, C. Pinto, F. Espina, S. Lopez-Buedo, Q. Chen, M. Nemirovsky, D. Roca, H. Klos, and T. Berends, “Rack-scale disaggregated cloud data centers: The dReDBox project vision,” Design, Automation Test in Europe Conference Exhibition (DATE), pp.690-695, March 2016. 10.3850/9783981537079_1014

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