Hi there, I am new to Spark, and would like to get some help to understand if Spark can utilize the underlying architectures for better performance. If so, how does it do it?
For example, assume there is a cluster built with machines of different CPUs, will Spark check the individual CPU information and use some machine-specific setting for the tasks assigned to that machine? Or is it totally dependent on the underlying JVM implementation to run the JAR file, and therefor the JVM is the place to check if certain CPU features can be used? Thanks, Boric
