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DataFunSummit
DataFunSummit
Nov 29, 2021 · Artificial Intelligence

Horovod Distributed Training Plugin: Design, Usage, and Deadlock Prevention

This article reviews Horovod, a popular third‑party distributed deep‑learning training plugin, explaining its simple three‑line integration, the challenges of deadlocks in all‑reduce operations, and the architectural components—including background threads, coordinators, and MPI/Gloo controllers—that enable scalable and efficient data‑parallel training.

Data ParallelGlooHorovod
0 likes · 8 min read
Horovod Distributed Training Plugin: Design, Usage, and Deadlock Prevention
360 Tech Engineering
360 Tech Engineering
May 10, 2019 · Artificial Intelligence

Distributed Training with MXNet: Data Parallel on Single and Multi‑Node GPUs and Integration with Kubeflow

This article explains how MXNet supports data‑parallel training on single‑machine multi‑GPU and multi‑machine multi‑GPU setups, describes KVStore modes, outlines the worker‑server‑scheduler architecture, and shows how to launch large‑scale distributed training using Kubeflow and the mxnet‑operator.

Data ParallelGPUKVStore
0 likes · 11 min read
Distributed Training with MXNet: Data Parallel on Single and Multi‑Node GPUs and Integration with Kubeflow