nputs to run (please refer to the image)
Currently, here is how I set the data:
protected override void RegisterInputParams(GH_Component.GH_InputParamManager pManager) { //Create default size
double defaultBaySize = 0; pManager.AddTextParameter("LotLib", "Llib", "Lot Library", GH_ParamAccess.tree); pManager.AddCurveParameter("BoundaryCrv", "BC", "Boundary Input", GH_ParamAccess.list); pManager.AddIntegerParameter("Direction", "D", "Direction of gridLines", GH_ParamAccess.item, 0); pManager.AddNumberParameter("CCsize", "S", "Distance from column to column", GH_ParamAccess.item, defaultBaySize); pManager.AddCurveParameter("GridCrv", "GC", "Take in curves input for gridlines", GH_ParamAccess.list);
}
protected override void SolveInstance(IGH_DataAccess DA) {/* Setup */ GH_Structure<GH_String> LotLib = new GH_Structure<GH_String>(); DA.GetDataTree(0, out LotLib); List<Curve> BoundaryCrv = new List<Curve>(); if(!DA.GetDataList(1, BoundaryCrv)) { return; } int Direction = 0; DA.GetData(2, ref Direction); double CCsize = 0; DA.GetData(3, ref CCsize);
List<Curve> GridCrvs = new List<Curve>(); DA.GetDataList(4, GridCrvs); if (!DA.GetDataList(4, GridCrvs)) { return; }}
Is there a way can set data in the way if the component does not receive inputs for BoundaryCrv but only GridCrvs, the BoundaryCrv List will empty.
Thank you very much …
mplex the models are. If we are running multi-room E+ studies, that will take far longer to calculate.
Rhino/Grasshopper = <1%
Generating Radiance .ill files = 88%
Processing .ill files into DA, etc. = ~2%
E+ = 10%
Parallelizing Grasshopper:
My first instinct is to avoid this problem by running GH on one computer only. Creating the batch files is very fast. The trick will be sending the radiance and E+ batch files to multiple computers. Perhaps a “round-robin” approach could send each iteration to another node on the network until all iterations are assigned. I have no idea how to do that but hope that it is something that can be executed within grasshopper, perhaps a custom code module. I think GH can set a directory for Radiance and E+ to save all final files to. We can set this to a local server location so all runs output to the same location. It will likely run slower than it would on the C:drive, but those losses are acceptable if we can get parallelization to work.
I’m concerned about post-processing of the Radiance/E+ runs. For starters, Honeybee calculates DA after it runs the .ill files. This doesn’t take very long, but it is a separate process that is not included in the original Radiance batch file. Any other data manipulation we intend to automatically run in GH will be left out of the batch file as well. Consolidating the results into a format that Design Explorer or Pollination can read also takes a bit of post-processing. So, it seems to me that we may want to split up the GH automation as follows:
Initiate
Parametrically generate geometry
Assign input values, material, etc.
Generate radiance/ E+ batch files for all iterations
Calculate
Calc separate runs of Radiance/E+ in parallel via network clusters. Each run will be a unique iteration.
Save all temp files to single server location on server
Post Processing
Run a GH script from a single computer. Translate .ill files or .idf files into custom metrics or graphics (DA, ASE, %shade down, net solar gain, etc.)
Collect final data in single location (excel document) to be read by Design Explorer or Pollination.
The above workflow avoids having to parallelize GH. The consequence is that we can’t parallelize any post-processing routines. This may be easier to implement in the short term, but long term we should try to parallelize everything.
Parallelizing EnergyPlus/Radiance:
I agree that the best way to enable large numbers of iterations is to set up multiple unique runs of radiance and E+ on separate computers. I don’t see the incentive to split individual runs between multiple processors because the modular nature of the iterative parametric models does this for us. Multiple unique runs will simplify the post-processing as well.
It seems that the advantages of optimizing matrix based calculations (3-5 phase methods) are most beneficial when iterations are run in series. Is it possible for multiple iterations running on different CPUs to reference the same matrices stored in a common location? Will that enable parallel computation to also benefit from reusing pre-calculated information?
Clustering computers and GPU based calculations:
Clustering unused computers seems like a natural next step for us. Our IT guru told me that we need come kind of software to make this happen, but that he didn’t know what that would be. Do you know what Penn State uses? You mentioned it is a text-only Linux based system. Can you please elaborate so I can explain to our IT department?
Accelerad is a very exciting development, especially for rpict and annual glare analysis. I’m concerned that the high quality GPU’s required might limit our ability to implement it on a large scale within our office. Does it still work well on standard GPU’s? The computer cluster method can tap into resources we already have, which is a big advantage. Our current workflow uses image-based calcs sparingly, because grid-based simulations gather the critical information much faster. The major exception is glare. Accelerad would enable luminance-based glare metrics, especially annual glare metrics, to be more feasible within fast-paced projects. All of that is a good thing.
So, both clusters and GPU-based calcs are great steps forward. Combining both methods would be amazing, especially if it is further optimized by the computational methods you are working on.
Moving forward, I think I need to explore if/how GH can send iterations across a cluster network of some kind and see what it will take to implement Accelerad. I assume some custom scripting will be necessary.…
izes like 0.6m, 0.8m, 0.9m and 1.2m are the most "common": In cases where mechanical floors are a must (hospitals for instance) a 2.4/2.4 is quite handy (habitable/mechanical per floor). You can try 1.8/2.7 as well (floor/habitable) since 1.8 floor thickness can host HVAC and some decent W truss size. Also 1.6/2.4 (floor/habitable) is used in small buildings. NOTE: see next.
3. Don't forget to include corrugated metal height + concrete screed height + raised floors height: for the latter, say, something like 0.3m (modules + adjustable mounts + free space for electric stuff [boxes etc]).
4. As regards exteriors, Laurent Buzon is a close friend of mine. Contact him directly on my behalf:
http://www.buzonuk.com/
http://www.google.gr/url?sa=t&rct=j&q=&esrc=s&sourc...
5. LBS Structural ability and "monolithic" floor behavior (humans don't like vibrating habitable spaces) ARE not the same animal.…
ybee_EnergyPlus Window Shade Generator" component.
3. SolveAdj component has the input to set BC for interior surfaces.
If you want to set them to adiabatic then you can use setToAdiabatic components.
4. For natural ventilation Chris has provided extensive answers including this one.
If the component doesn't work then you need to download the files manually from github and replace the userObjects with the old ones. You have to do it separately for Ladybug and Honeybee which can be painful. Is there anyway to change the firewall settings?
…
ino Mc Neel, autore di "Architettura Parametrica - Introduzione a Grasshopper", il primo manuale su Grasshopper. I corsi PLUG IT nascono dalla volontà di promuovere le nuove tecnologie digitali di supporto alla progettazione e condividere il know-how maturato attraverso ricerca, collaborazione con i più importanti studi di architettura e pubblicazioni internazionali. Verranno introdotte le nozioni base di Grasshopper approfondendo le metodologie della progettazione parametrica e le tecniche di modellazione algoritmica per la generazione di forme complesse. Il corso è rivolto a studenti e professionisti con esperienza minima nella modellazione 3D e si articolerà in lezioni teoriche ed esercitazioni. Argomenti trattati: - Introduzione alla progettazione parametrica: teoria, esempi, casi studio - Grasshopper: concetti base, logica algoritmica, interfaccia grafica - Nozioni fondamentali: componenti, connessioni, data flow - Funzioni matematiche e logiche, serie, gestione dei dati - Analisi e definizione di curve e superfici - Definizione di griglie e pattern complessi - Trasformazioni geometriche, paneling - Attrattori, image sampler - Data tree: gestione di dati complessi - Digital fabrication: teoria ed esempi - Nesting: scomposizione di oggetti tridimensionali in sezioni piane per macchine CNC Verrà rilasciato un attestato finale. INFO E PRENOTAZIONI: http://www.arturotedeschi.com/wordpress/?p=2888…
Refinement component at first, possibly using MeshMachine instead which is slow but actually gives many fewer triangles and adaptive meshing for tight curves too. Neither are easy to adjust on a deadline!
Then you have to sneak up on workable settings, using only a few lines, or Grasshopper will freeze perhaps indefinitely for 200 lines with extreme settings, especially the CS (Cube Size) setting that can blow up into a huge number if your scale is big.
Cocoon gives lots of nearly flat split quad faces so I quadrangulated those for fun:
Or MeshMachine can refine the mesh to make it efficient:
Whereas the Cocoon Refine component will merely return an equally fine mesh with more equilateral triangles but no serious remeshing to rid so many tiny triangles where they are not needed? Actually, it does seem to remesh also:
David said he used some of Daniel's MeshMachine code in there.…
rld.wolfram.com/EnnepersMinimalSurface.html
when i type the equations for z,y,z it says a syntax error so i obviously do not understand how to construct an expression. (screen capture attached)
Any help/explanation of using this function would be greatly appreciated
thanks so much
Capture.JPG…