mengxr commented on issue #24374: [SPARK-27366][CORE] Support GPU Resources in Spark job scheduling URL: https://github.com/apache/spark/pull/24374#issuecomment-497790375 Discussed with @jiangxb1987 offline: 1. In `WorkOffer`, we put a copy of available addresses. Modification to it doesn't change actual booking. 2. At the same location where we update the booking of available CPU cores, we do the same for resources. 3. `ExecutorResourceInfo` will implement: ~~~scala def acquire(addrs: Seq[String]): Unit def release(addrs: Seq[String]): Unit def availableAddrs: Seq[String] ~~~ Internally we use `mutable.Map[String, Boolean]` to record whether an address is used or not. Later we will switch to OpenHashMap for performance optimization.
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