twice the price ... what does : 2 GB x16 Memory with 64-bit Width mean ... 32Gb ? Expandable using 2GB sticks up to 16 ? If so ... wow ! ok at twice the price, I'll take that lol
and General Purpose GPU is new to me ... this is when I notice that I am only a physicist ... not a computer scientist ! I come from C then Visual Basic (3 to 6) (fast prototyping platform) and now from Python (just learning ... last 3 months ... spare time ... cool language by the way).
The goal of my project is to learn how to build a Beowulf (on a local network, distributed on all available machine on the network, or on a standalone cluster (my ultimate goal)).
I am therefore learning about R, Python, Fortran and C usage of distributed processing. I am now looking at CUDA because of your comment (even see CUDA for Python) ! I know that R and Python are interpreted languages but they are great for prototyping algorithms ... even thinking of doing my own load balancing and message passing interface ... but I digress ...
On the heat problem, I did read that when not using peripherals it is ok ... since I don't plan to on the standalone Beowulf cluster I should be ok ... Only ram, sd card and network (ok each one plugged into a KVM switch). I liked the L1 of 512K of fast memory ... this is where the GPGPU might be of importance but ... I lack knowledge 
All this started when I bought a raspberry Pi 2 ... and programmed the GPIO in python ... did my own security system ... I was impressed !
So now I am learning that SoC are very interesting, I just don't know much ... I do see a fruit boll (raspberry, banana, orange lol) and help is always welcome !