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[](https://www.bestpractices.dev/projects/8702)
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Apache Spark MLlib is a scalable machine learning library based on Spark unified platform. It seamlessly integrates with Spark SQL, Spark Streaming and other machine learning and deep learning frameworks without additional glue code for the entire pipeline.
However, JVM-based MLlib only has limited use of BLAS acceleration and Spark shuffle is also slow for communication during distributed training. Spark's original design is CPU-centric that can't leverage GPU acceleration. It doesn't fully utilize modern CPU and GPU capabilities to achieve best performance.
Repository on GitHub, which uses git. git is distributed.
警告:需要URL,但找不到URL。
Found all required security hardening headers.
警告:需要更长的理由。
后退