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Memory Management Utilities · Awesome GitHub Repositories

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Awesome GitHub RepositoriesMemory Management Utilities

Tools for optimizing memory usage and data movement between compute devices and host systems.

Distinguishing note: Focuses on hardware-level memory offloading and state migration, distinct from general-purpose memory allocators.

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  • deepspeedai/DeepSpeed

    deepspeedai/DeepSpeed

    41,638View on GitHub↗

    DeepSpeed is a high-performance library designed to scale deep learning model training and inference across massive clusters of GPUs and compute nodes. It provides a comprehensive suite of tools for distributed training, enabling the execution of models that exceed the memory capacity of single devices through advanced parameter partitioning, pipeline-based model parallelism, and memory-efficient state offloading. The framework distinguishes itself through specialized communication-efficient optimizers and hardware-aware acceleration techniques. By utilizing gradient compression, quantization

    Memory-intensive states are dynamically moved between GPU memory and host CPU RAM to balance compute speed with available hardware capacity.

    Pythonbillion-parameterscompressiondata-parallelism
    41,638View on GitHub↗