The max Mach number is 1.0, and yes 35 TB (ouch.) By steady state I meant that despite being turbulent that the solution parameters are accurate; eventhough, they may be cyclic. I suppose if I were to start from the coarse refinement linear mesh consisting of 10.5e+06 hexes, the memory requirement for a p4 mesh is still ~6.0TB. I think this answers my question. Thanks!
Best Regards, Zach Davis Pointwise®, Inc. Sr. Engineer, Sales & Marketing 213 South Jennings Avenue Fort Worth, TX 76104-1107 E: zach.da...@pointwise.com P: (817) 377-2807 x1202 F: (817) 377-2799 <https://www.twitter.com/RcktMan78> <https://www.youtube.com/cfdmeshing> <https://www.facebook.com/pointwise> <https://www.github.com/pointwise> > On Feb 12, 2018, at 4:56 AM, Vincent, Peter E <p.vinc...@imperial.ac.uk> > wrote: > > Hi Zach, > >> I was interested in running a compressible simulation with PyFR. The target >> Reynolds number would be 2.146e+06. > > OK. Out of interest, what is the Mach number? > >> A p4 mesh would likely consist of around 15e+06 hexes. > > OK. So this would have ~ 1.8Bn solution points. > >> Freddie’s spreadsheet, if I’m reading correctly, estimates a 3-D >> double-precision Navier-Stokes problem would require 3.7e+13 bytes or >> 35.2GiB of memory to run. > > Do you mean 35 TB? > >> Again, correct me if I’m wrong, but if I recall the tilmestep should be >> somewhere between 1/p and 1/p^2 which would be between 0.25 and 0.0625 for a >> 4th order simulation. > > The scaling with p is, as you suggest, somewhere between 1/p and 1/p^2. But > the absolute value of the time-step will depend on how you have > non-dimensionalised. It you have an inflow velocity of 1 and a characteristic > length of 1 I would expect a tilmestep of ~ 1e-5 - 1e-6 at this Reynolds > number, depending on mesh quality. > >> Ideally, I would like to run this out to steady state. > > What do you mean by steady-state here, since the flow is turbulent? Do you > mean run it long enough such that you can gather accurate statistics. > Depending on the flow problem and the quantities you want to converge, this > can mean running for 10-100s of characteristic flow passes. > >> AWS has p3 instances with 1, 4, and 8 NVIDIA V100 cards available each with >> 16GB of memory, 5120 CUDA cores, and 7TFLOPS of double-precision >> performance. Is this problem tractable in the latest PyFR release? > > We have never done a simulation at such a high Re. But it might be tractable. > >> Does PyFR provide an inlet boundary condition where a total pressure and >> total temperature profile can be specified? > > We have the sub-in-ftpttang BC, which I believe now can have a spatial > dependence (someone can correct me if I am wrong). > > Cheers > > Peter > > Dr Peter Vincent MSci ARCS DIC PhD FRAeS > Reader in Aeronautics and EPSRC Fellow > Department of Aeronautics > Imperial College London > South Kensington > London > SW7 2AZ > UK > > web: www.imperial.ac.uk/aeronautics/research/vincentlab > <http://www.imperial.ac.uk/aeronautics/research/vincentlab> > twitter: @Vincent_Lab > > > > > >> On 8 Feb 2018, at 17:15, Zach Davis <zda...@pointwise.com >> <mailto:zda...@pointwise.com>> wrote: >> >> All, >> >> I was interested in running a compressible simulation with PyFR. The target >> Reynolds number would be 2.146e+06. A p4 mesh would likely consist of >> around 15e+06 hexes. Freddie’s spreadsheet, if I’m reading correctly, >> estimates a 3-D double-precision Navier-Stokes problem would require 3.7e+13 >> bytes or 35.2GiB of memory to run. Again, correct me if I’m wrong, but if I >> recall the tilmestep should be somewhere between 1/p and 1/p^2 which would >> be between 0.25 and 0.0625 for a 4th order simulation. Ideally, I would >> like to run this out to steady state. >> >> AWS has p3 instances with 1, 4, and 8 NVIDIA V100 cards available each with >> 16GB of memory, 5120 CUDA cores, and 7TFLOPS of double-precision >> performance. Is this problem tractable in the latest PyFR release? Does >> PyFR provide an inlet boundary condition where a total pressure and total >> temperature profile can be specified? >> >> Best Regards, >> >> >> >> >> Zach Davis >> Pointwise®, Inc. >> Sr. Engineer, Sales & Marketing >> 213 South Jennings Avenue >> Fort Worth, TX 76104-1107 >> >> E: zach.da...@pointwise.com <mailto:zach.da...@pointwise.com> >> P: (817) 377-2807 x1202 >> F: (817) 377-2799 >> <https://www.twitter.com/RcktMan78> <https://www.youtube.com/cfdmeshing> >> <https://www.facebook.com/pointwise> <https://www.github.com/pointwise> >> >> >> -- >> You received this message because you are subscribed to the Google Groups >> "PyFR Mailing List" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to pyfrmailinglist+unsubscr...@googlegroups.com >> <mailto:pyfrmailinglist+unsubscr...@googlegroups.com>. >> To post to this group, send email to pyfrmailinglist@googlegroups.com >> <mailto:pyfrmailinglist@googlegroups.com>. >> Visit this group at https://groups.google.com/group/pyfrmailinglist >> <https://groups.google.com/group/pyfrmailinglist>. >> For more options, visit https://groups.google.com/d/optout >> <https://groups.google.com/d/optout>. > > > -- > You received this message because you are subscribed to the Google Groups > "PyFR Mailing List" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to pyfrmailinglist+unsubscr...@googlegroups.com > <mailto:pyfrmailinglist+unsubscr...@googlegroups.com>. > To post to this group, send email to pyfrmailinglist@googlegroups.com > <mailto:pyfrmailinglist@googlegroups.com>. > Visit this group at https://groups.google.com/group/pyfrmailinglist > <https://groups.google.com/group/pyfrmailinglist>. > For more options, visit https://groups.google.com/d/optout > <https://groups.google.com/d/optout>. -- You received this message because you are subscribed to the Google Groups "PyFR Mailing List" group. 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