An in-depth analysis of the slingshot interconnect
Daniele De Sensi, Salvatore Di Girolamo, Kim H. McMahon, Duncan Roweth, Torsten Hoefler
摘要
The interconnect is one of the most critical components in large scale computing systems, and its impact on the performance of applications is going to increase with the system size. In this paper, we will describe SLINGSHOT, an interconnection network for large scale computing systems. SLINGSHOT is based on high-radix switches, which allow building exascale and hyper-scale datacenters networks with at most three switch-to-switch hops. Moreover, SLINGSHOT provides efficient adaptive routing and congestion control algorithms, and highly tunable traffic classes. SLINGSHOT uses an optimized Ethernet protocol, which allows it to be interoperable with standard Ethernet devices while providing high performance to HPC applications. We analyze the extent to which SLINGSHOT provides these features, evaluating it on microbenchmarks and on several applications from the datacenter and AI worlds, as well as on HPC applications. We find that applications running on SLINGSHOT are less affected by congestion compared to previous generation networks.
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引用它的顶会 Paper26
- Chimera: efficiently training large-scale neural networks with bidirectional pipelinesShigang Li, Torsten HoeflerSC 2021 · 被引用 124 次
- Near-optimal sparse allreduce for distributed deep learningShigang Li, Torsten HoeflerPPoPP 2022 · 被引用 57 次
- Flare: flexible in-network allreduceDaniele De Sensi, Salvatore Di Girolamo, Saleh Ashkboos, Shigang Li 等SC 2021 · 被引用 49 次
- Swing: Short-cutting Rings for Higher Bandwidth AllreduceDaniele De Sensi, Tommaso Bonato, David Saam, Torsten HoeflerNSDI 2024 · 被引用 48 次
- A RISC-V in-network accelerator for flexible high-performance low-power packet processingSalvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu, Thomas Benz 等ISCA 2021 · 被引用 37 次
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