[GitHub] [spark] mengxr commented on issue #24374: [SPARK-27366][CORE] Support GPU Resources in Spark job scheduling

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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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