Many emerging Artificial Intelligence (AI) applications require on-demand provisioning of large-scale computing, which can only be enabled by leveraging distributed computing services interconnected through networking. To address such increasing demand for networking to serve AI tasks, we investigate new scheduling strategies to improve communication efficiency and test them on a programmable testbed. We also show relevant challenges and research directions.
Poster: Flexible Scheduling of Network and Computing Resources for Distributed AI Tasks
Zhang, Qiaolun;Attarpour, Aryanaz;Tornatore, Massimo
2024-01-01
Abstract
Many emerging Artificial Intelligence (AI) applications require on-demand provisioning of large-scale computing, which can only be enabled by leveraging distributed computing services interconnected through networking. To address such increasing demand for networking to serve AI tasks, we investigate new scheduling strategies to improve communication efficiency and test them on a programmable testbed. We also show relevant challenges and research directions.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
SIGCOMM_Poster_v2.pdf
Accesso riservato
:
Pre-Print (o Pre-Refereeing)
Dimensione
2.09 MB
Formato
Adobe PDF
|
2.09 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
