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.

An In-Depth Analysis of the Slingshot Interconnect / De Sensi, D; Di Girolamo, S; Mcmahon, K; Roweth, D; Hoefler, T. - (2020). (Intervento presentato al convegno International Conference for High Performance Computing, Networking, Storage and Analysis (was Supercomputing Conference) tenutosi a Online) [10.1109/SC41405.2020.00039].

An In-Depth Analysis of the Slingshot Interconnect

De Sensi D;
2020

Abstract

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.
2020
International Conference for High Performance Computing, Networking, Storage and Analysis (was Supercomputing Conference)
dragonfly, exascale, interconnection network, congestion, datacenters
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
An In-Depth Analysis of the Slingshot Interconnect / De Sensi, D; Di Girolamo, S; Mcmahon, K; Roweth, D; Hoefler, T. - (2020). (Intervento presentato al convegno International Conference for High Performance Computing, Networking, Storage and Analysis (was Supercomputing Conference) tenutosi a Online) [10.1109/SC41405.2020.00039].
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1656245
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 63
  • ???jsp.display-item.citation.isi??? 34
social impact