MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
Kiran Ranganath,
Joshua D. Suetterlein,
Joseph B. Manzano
et al.
Abstract:Multi-accelerator servers are increasingly being deployed in shared multi-tenant environments (such as in cloud data centers) in order to meet the demands of large-scale compute-intensive workloads. In addition, these accelerators are increasingly being inter-connected in complex topologies and workloads are exhibiting a wider variety of inter-accelerator communication patterns. However, existing allocation policies are ill-suited for these emerging use-cases. Specifically, this work identifies that multi-acce… Show more
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