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In Reply to: RE: Are you Dongle Curious ? posted by AbeCollins on November 26, 2016 at 10:02:00
Thanks Abe. Yes, I use the Cuda offload processing for the DSD256 conversions. The sound of this computer with an unmodified OS is better than my other ASUS with AudiophileOptimizer. I will be applying AudiophileOptimizer to this computer this afternoon.This computer is really an overclocked desktop in a thin laptop body.
I'm running Roon Server streaming to the HQPlayer on this computer. I'm streaming to the microRendu with native DSD256.
All good stuff.
Edits: 11/26/16Follow Ups:
Very nice setup. I noticed that HQPlayer can consume a lot of CPU resources depending on what type of conversion it is performing. The GPU/CUDA offload is supposed to help, but I don't have the GPU to handle it in my setup. Have fun! If you can 'see' how the GPU is 'assisting' the CPU please post.
The Cuda offload contribution is significant. Using Process Lasso, I observed that a 24/192 file converted to DSD256 went from around 34% CPU utilization (ave.) to 24% CPU utilization (ave) with Cuda selected.This is the total CPU including the HQPlayer and Roon.
Edits: 11/26/16
With AO installed, I am now running at CPU of around 12% when converting to DSD256 with Cuda.
Edits: 11/27/16
That's pretty impressive how much AO and GPU/CUDA offload bring the CPU utilization down. Thanks.
From Miska at CA:
"nVidia just launched their newest Pascal architecture that promises huge performance improvement for HQPlayer-type computing tasks. First products rolling out during the summer and more towards Q1'17. The consumer product like is likely to be called GeForce 1xxx (1000-series)."
I haven't kept up on recent GPU technology but I have a couple customers who use the high-end nVidia Tesla GPUs (Pascal architecture) in High Performance Computing applications. They require lots of power (two to three hundred watts ea) along with a good amount of forced air cooling.
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