▲ | amelius a day ago | ||||||||||||||||||||||||||||||||||
Can it run deep learning workloads? | |||||||||||||||||||||||||||||||||||
▲ | nxobject a day ago | parent | next [-] | ||||||||||||||||||||||||||||||||||
The PS3 was used a few time in clusters – some NN work was done on it back in the day. My understanding (somewhat echoed in TFA) is that when programming Cell, you really needed to think about communication patterns to avoid quickly running into memory bandwidth limitations, especially given memory hierarchy and bus quirks. | |||||||||||||||||||||||||||||||||||
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▲ | zorgmonkey a day ago | parent | prev | next [-] | ||||||||||||||||||||||||||||||||||
With enough effort you could definitely do it. Just remember it is a device that came out in 2006 and it has 256MB of system RAM and 256MB of VRAM, at best you're running a quite small model after a lot work trying to port some inference code to CELL processors. Honestly it does sound a cool excuse to write code for the CELL processors, but don't expect amazing performance or anything. | |||||||||||||||||||||||||||||||||||
▲ | duskwuff a day ago | parent | prev | next [-] | ||||||||||||||||||||||||||||||||||
It's a nearly 20 year old gaming console. Even if you could port a deep learning workload to run efficiently on the Cell architecture, it would be thoroughly outclassed by a modern cell phone (to say nothing of a desktop computer). | |||||||||||||||||||||||||||||||||||
▲ | maximilianburke a day ago | parent | prev | next [-] | ||||||||||||||||||||||||||||||||||
Eugh, maybe? The PS3 only had 256mb of main memory so you'd be pretty limited there. Memory bandwidth, great at the time, is pretty poor by today's standards (25 gb/s) | |||||||||||||||||||||||||||||||||||
▲ | russell_h a day ago | parent | prev [-] | ||||||||||||||||||||||||||||||||||