Re: [agi] NVIDIA GPU's

[Bo Morgan]

That's 53.8 GB/s for a load of 33.6 MB?  Is there a burst cache effect 
going on here or do you think that's sustainable for multiple seconds?

Bo

On Fri, 22 Jun 2007, J Storrs Hall, PhD wrote:

) BTW, the CUDA toolkit for programming the GPU's is developing rapidly (and is 
) still in beta). here are memory bandwidths actually measured on my machine:
) 
) CUDA version 0.8:
) 
) Host to Device Bandwidth for Pinned memory
) Transfer Size (Bytes)   Bandwidth(MB/s)
)  33554432               1647.6
) 
) Device to Host Bandwidth for Pinned memory
) Transfer Size (Bytes)   Bandwidth(MB/s)
)  33554432               1654.7
) 
) Device to Device Bandwidth
) Transfer Size (Bytes)   Bandwidth(MB/s)
)  33554432               3332.1
) 
) CUDA version 0.9:
) 
) Host to Device Bandwidth for Pinned memory
) Transfer Size (Bytes)   Bandwidth(MB/s)
)  33554432               2700.0
) 
) Device to Host Bandwidth for Pinned memory
) Transfer Size (Bytes)   Bandwidth(MB/s)
)  33554432               2693.3
) 
) Device to Device Bandwidth
) Transfer Size (Bytes)   Bandwidth(MB/s)
)  33554432               53768.0
) 
) In other words, once uploaded to the GPU, you can afford to reorder your data 
) any way you want as often as you need to to take advantage of parallel ops.
) 
) Or to put it another way, the GPU has about the same bandwidth to its memory 
) as your brain does to its on a per-byte basis, in my ballpark estimates. 
) Somewhere on the order of 100 GPUs is a brain-equivalent. 
) 
) We're getting damn close...
) 
) Josh
) 
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