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Collective Communication Algorithms for Gradient Synchronization- Scatter: Distributes distinct chunks of data from one rank to all others. Gather: Collects data from all ranks to a single destination rank. Reduce: Aggregates data from all ranks using an operation (like sum) and sends the result to one rank. All-Reduce: Combines data from all ranks and distributes the result back to every rank. Broadcast: Sends the same data from one rank to all other ranks. All-Gather: Each rank sends its
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Fully Sharded Data Parallel (FSDP)FSDP is an advanced form of data parallelism designed to significantly reduce the memory footprint on each GPU. Instead of replicating everything in DP, FSDP shards (partitions) the model's parameters, gradients, and optimizer states across the data-parallel processes (GPUs). Each GPU only holds of slice of these components, lowering per-GPU memory requirements.
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