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- W2964104075 abstract "Nowadays, a growing number of servers and workstations feature an increasing number of GPUs. However, slow communication among GPUs can lead to poor application performance. Thus, there is a latent demand for efficient multi-GPU communication primitives on such systems. This paper focuses on the gather, scatter and all-to-all collectives, which are important operations for various algorithms including parallel sorting and distributed hashing. We present two distinct communication strategies (ring-based and flow-oriented) to generate transfer plans for their topology-aware implementation on NVLink-connected multi-GPU systems. We achieve a throughput of up to 526 GB/s for all-to-all and 148 GB/s for scatter/gather on a DGX-1 server with only a small memory overhead. Furthermore, we propose a cost-neutral alternative to the DGX-1 Volta topology that provides an expected higher throughput for the all-to-all collective while preserving the throughput in case of scatter/gather. Our Gossip library is freely available at https://github.com/Funatiq/gossip." @default.
- W2964104075 created "2019-07-30" @default.
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- W2964104075 date "2019-08-05" @default.
- W2964104075 modified "2023-10-17" @default.
- W2964104075 title "Gossip" @default.
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- W2964104075 doi "https://doi.org/10.1145/3337821.3337889" @default.
- W2964104075 hasPublicationYear "2019" @default.
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