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cluster:182 [2019/08/07 12:53]
hmeij07 [P100 vs RTX & T4] 		cluster:182 [2019/08/07 19:05]
hmeij07 [the DPP]
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 This page will mimic the work done on this page in 2018 [[cluster:175|P100 vs GTX & K20]] This page will mimic the work done on this page in 2018 [[cluster:175|P100 vs GTX & K20]]
 +
 +Credits: This work was made possible, in part, through HPC time donated by Microway, Inc. We gratefully acknowledge Microway for providing access to their GPU-accelerated compute cluster.
 +[[http://www.microway.com|Microway]]
  
 First though... First though...
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 [[https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units|List of Nvidia Graphics Processing Units]] [[https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units|List of Nvidia Graphics Processing Units]]
  
-"Every GPU with SM 1.3 (Tesla/GTX2xx) or better has hardware double-precision support. Starting with the Fermi architecture, Quadro and Tesla variants have better double-precision support than consumer Ge Force models." So I'm utterly confused by this outcome. The P100 is best at double precision (fp64), the RXT6000 is modest and the T4 actually has no specs regarding fp64. Running a colloid example in Lammps compiled for these GPUs with DOUBLE_DOUBLE, all three models obtain the same result in 500,000 loops. Must have something to do with the tensor cores in the T4.+"Every GPU with SM 1.3 (Tesla/GTX2xx) or better has hardware double-precision support. Starting with the Fermi architecture, Quadro and Tesla variants have better double-precision support than consumer Ge Force models." So I'm utterly confused by this outcome. The P100 is best at double precision (fp64), the RXT6000 is modest and the T4 actually has no specs regarding fp64. Running a colloid example in Lammps compiled for these GPUs with DOUBLE_DOUBLE, all three models obtain the same result in 500,000 loops.  
 + 
 +The explanation was found [[https://www.microway.com/hpc-tech-tips/nvidia-turing-tesla-t4-hpc-performance-benchmarks/|T4 benchmarks fp64 and fp32]].  The T4 can do double precision if needed but it's strength is mixed  and single precision.
  
-<code> +<code>
  
 p100-dd-1-1:Device 0: Tesla P100-PCIE-16GB, 56 CUs, 16/16 GB, 1.3 GHZ (Double Precision) p100-dd-1-1:Device 0: Tesla P100-PCIE-16GB, 56 CUs, 16/16 GB, 1.3 GHZ (Double Precision)
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 t4-dd-1-1:Performance: 518164.721 tau/day, 1199.455 timesteps/s t4-dd-1-1:Performance: 518164.721 tau/day, 1199.455 timesteps/s
  
-<code> +</code> 
  
  
 \\ \\
 **[[cluster:0|Back]]** **[[cluster:0|Back]]**
cluster/182.txt · Last modified: 2019/12/13 13:33 by hmeij07

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