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Awesome GitHub RepositoriesMulti-Framework Job Runners
Runs batch jobs from popular data processing, ML, and streaming frameworks without requiring custom integration code.
Distinct from Distributed Computing Frameworks: More specific than Distributed Computing Frameworks: focuses on running jobs from pre-existing frameworks natively, not building new distributed systems.
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Awesome Multi-Framework Job Runners GitHub Repositories
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- volcano-sh/volcano
volcano-sh/volcano
5,337在 GitHub 上查看Volcano is a Kubernetes-native batch scheduler specialized for AI, machine learning, and high-performance computing workloads. It provides gang scheduling to atomically allocate resources for all tasks of a distributed job, preventing deadlocks from partial allocation, and supports hierarchical queue management for multi-tenant resource isolation with configurable quotas, borrowing, and preemption. Topology-aware placement optimizes communication-intensive workloads by modeling network hierarchy to minimize cross-switch latency. Volcano differentiates itself with automated orchestration of di
Runs batch jobs from popular data processing, ML, and streaming frameworks without custom integration.
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