First let me say thank you to anybody who can give me assistance with this build.
Background: I’m a psychiatrist with a background in physics/math (undergrad) and finishing up a masters in biomedical engineering.
Goal: looking for objective measures of psychiatric illness
Plan: would like to build a gpgpu system with at least 2 to 3 gpu’s; the point is not actually to get meaningful analysis to achieve the above stated goal, it is to learn the skills required to then in the future build a system to achieve the above stated goal. I am hoping to learn the basics of gpgpu computing from this build; how to program and coordinate calculation across the boards (will I need open MP across the 3 gpu’s or since they are connected to same motherboard that will only be needed when I add nodes to the network?).
Specifically: I plan on analyzing fMRI and dtMRI data that is coming out of the connectome project (www.humanconnectomeproject.org) eventually I would apply deep learning algorithms to the data to define “normal network” for processing. This would then be used as a metric to compare against scans of individuals with well documented psychiatric illness.
For a first baby system as a proof of concept what gpu’s would be best to use? I am hoping to not use Tesela cards to keep cost down since this initial build is going to be funded out of my pocket. Once I have something that is publishable and when I finish my engineering degree I hope to qualify for a grant to continue the work. Which motherboard and cpu would be recommended? Type and amount of ram that I should purchase? The plan is to use Linux so no cost will go into the OS. Any advice would be greatly appreciated!! Thank you everybody for your time and consideration.