高性能深度学习引擎ray-阿里云

继Spark之后，UC Berkeley 推出新一代高性能深度学习引擎——Ray（2）

应用层应用层包括三种类型的进程：驱动进程（Driver）：用来执行用户程序。工作进程（Worker）：用来执行 Driver 或者其他 Worker 指派的任务(remote functions，就是用户代码中装饰了`@ray.remote` 的那些函数)的无状...

继Spark之后，UC Berkeley 推出新一代高性能深度学习引擎——Ray（1）

导读继 Spark 之后，UC Berkeley AMP 实验室又推出一重磅高性能AI计算引擎——Ray，号称支持每秒数百万次任务调度。那么它是怎么做到的呢？在试用之后，简单总结一下：极简 Python API 接口：在函数或者类定义时加上 ray.remote 的装饰器并做一些微小改变，...

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更新时间 2022-12-16 11:22:57

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