Julia processes on a NUMA dual processor machine

General Usage
1

Hello,

I have a program that spawns a number of julia processes and runs some code on them. The code uses @async in a way that is similar to the sample pmap code in the julia documentation. The problem that I am seeing is that half the processes complete in the expected amount of time, but the other half take more than 5x the time. I am on a server machine with dual processors (each processor has 8 cores), NUMA enabled, hyperthreading disabled, and running Windows 10 (Hyper V host, no VMs running).

Are there any gotchas to using Julia and spawning Julia processes in a dual processor NUMA setting?

Thanks,

Ritchie

2

Ritchie! Welcome! Perhaps it’s best that you provide some actual code - a Minimum Working Example would help others help you.
Otherwise, it’s hard to know general gotchas.
Can you provide your Julia Version as well?
Also, consider using BenchmarkTools.jl for useful stats.

3

Thanks Miguel,

Turns out this is not Julia-related at all. It’s a hardware issue!

Ritchie

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