Fit Fly
Author:
Affiliation:
1. Rensselaer Polytechnic Institute, Troy, NY, USA
2. Argonne National Laboratory, Lemont, IL, USA
Funder
U.S. Department of Energy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3316480.3325515
Reference35 articles.
1. {n. d.}. CODES: Enabling co-design of multilayer exascale storage architectures. {n. d.}. CODES: Enabling co-design of multilayer exascale storage architectures.
2. Slim Fly: A Cost Effective Low-Diameter Network Topology
3. ROSS: A high-performance, low-memory, modular Time Warp system
4. Efficient optimistic parallel simulations using reverse computation
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Evaluation of Link Failure Resilience in Multirail Dragonfly-Class Networks through Simulation;Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation;2020-06-06
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