Showing 2 open source projects for "memory read"

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    MXNet

    MXNet

    Lightweight, Portable, Flexible Distributed/Mobile Deep Learning

    Apache MXNet is a scalable, efficient open-source deep learning framework—offering a flexible hybrid programming model (symbolic + imperative) and supporting a wide array of languages—designed for training and deploying neural networks across heterogeneous systems. Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic...
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    TerarkDB

    TerarkDB

    A RocksDB compatible KV storage engine with better performance

    ...It aims to be drop-in compatible with existing RocksDB setups: you can migrate most RocksDB instances over to TerarkDB without rewriting your storage logic. Under the hood, TerarkDB employs advanced data structures and compression strategies to reduce I/O, memory usage, and latency variability — delivering higher throughput and more predictable performance under heavy load. Because of these optimizations, TerarkDB can be especially beneficial for services requiring fast read/write responses under variable workloads or those dealing with large datasets while aiming to keep resource usage efficient. ...
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