Phase 42.2 Show & Tell — ShardManager: Data/Model Sharding Strategies

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ShardManager — Show & Tell

Share your implementations and benchmarks for data/model sharding strategies.

Topics for Discussion

• Data Parallelism: Consistent hashing, range partitioning, stratified sampling
• Tensor Parallelism: Megatron-style intra-layer splitting, communication patterns
• Pipeline Parallelism: GPipe micro-batching, bubble minimization, 1F1B schedules
• ZeRO Partitioning: Stage 1/2/3 trade-offs, CPU offloading benchmarks
• 3D Hybrid: Combining tensor × pipeline × data parallelism
• Load Balancing: Dynamic rebalancing strategies, live migration

Key Metrics to Share

• Load balance score across nodes
• Pipeline bubble ratio
• ZeRO memory reduction per stage
• Communication overhead percentage
• Rebalancing latency

Reference issue: #842 | Planning: #840