he concept, moving on to decision making and continuing with digital and generative design tools TO GET THE BEST SOLUTION for each problem.
WHY? The world is complex and ever-changing and we need to be able to handle the volume of information we receive and, of course, to find and choose the best solution. Therefore, we direct our ATTENTION TO THE CAUSE, and not only on the effects/solutions.
We will learn from NATURE, the only “company” that has not gone bankrupt in over 4000M years, and it’s GENERATIVE SOLUTIONS.
> OBJECTIVES <
The participants will work in multidisciplinary groups (ex. architect + designer + business manager + constructor + communication specialist etc.) applying knowledge management tools, different approaches and nature-based optimization methods.
Listed objectives:
1. Improving the generative way of TURNING AN IDEA INTO A PROJECT through problem-solving thinking
2. Discovering nature’s ways of shaping evolutionary solutions
3. Getting out from our comfort zone and working together with other professionals in groups in order to achieve better solutions: Multidisciplinary Design Optimization
4. Learning to use technology to manage information in the decision making process
& surviving the whole week
> ATTENDANCE & COSTS <
> Early bird – until 17th March 2013
Lecture – 15 euro (includes presentations, food& drinks)
Workshop – 100 euro (includes lecture, food& drinks)
> Late bird – until 6th April 2013
Lecture – 25 euro (includes presentations, food& drinks)
Workshop – 120 euro (includes lecture, food& drinks)
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ata1...3_" mean? Additionally what do I connect to _HBObjects? Windows or shading geometry? Then what is expected to come out of "windowBreps","shadeBreps" and HBObjWShades? I ask as it was skipped in your video tutorials. If I am not correct, please give me a hint where I can find it.
But I am obviously curious of what is the best way to test elements that substitute each other according to the schedule. If this was a tool this would be EXTREMELY powerful as it one of fundamental strategies in adaptive architecture.
Unfortunately, I do not know what happens behind the interface as before I have been an EDSL TAS user which is promoted at the AA school as user friendly).
The flow for the NatVent settings in the proposed settings is suitable for preliminary studies. However it would be helpful to control apertures by the weather data in a more tricky way. I mean that the input should be dynamic and obviously instead of using the outdoor temperature to open or close the window I would prefer to use the indoor DBT which appears dynamically while the conditions are calculated. Anyway you should know better!
Thank you for prompt help.
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g a problem though when trying to set a daylight simulation with some determined radiance parameters. Here's the problem: After many tries I think I found out that setting -ab = 6 and at the same time -aa = .05 creates some sort of problem, because when I try to do so My PC blocks for several minutes, without letting me manually end processes from taskmanager, and when I'm able again to enter grasshopper, i get the following error:
"Solution exception:index out of range: 0"
Does this really depends on the parameters and values I found out or is it related to something else? Is the problem relative to the structure of HoneyBee or is it just relative to my specific case (and maybe PC)? Is it possible to solve it, and if yes, how?
Atteched you find my rhino model and my grasshopper file.
Thanks in advance for your help and again many compliments!
Luigi…
The type of recipe appears to be related to the problem, because de error desolves when I connect the component to a different recipe.
A screenshot of the complete error message is in the attachment.
Error text:
0. Annual climate-based analysis1. The component is checking ad, as, ar and aa values. This is just to make sure that the results are accurate enough.2. Good to go!3. Current working directory is set to: c:\ladybug\unnamed\annualSimulation\4. Rotating the scene for 41 degrees5. Runtime error (TypeErrorException): unsupported operand type(s) for +=: 'str' and 'bool'6. Traceback: line 6509, in transform, "<string>" line 1665, in writeRADAndMaterialFiles, "<string>" line 193, in main, "<string>" line 258, in script
Many thanks in advance…
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.…
s and robotic fabrication technologies in constructing them. It features a range of work from well known progressive practices, such as Zaha Hadid Architects, Greg Lynn Form, UN Studio, Contemporary Architectural Practice and Evan Douglis Studio, together with emerging experimental practices, such SPAN, Biothing, Kokkugia, Rubedo and Synthesis, along with some talented emerging Chinese architects, such as Archi-Union Studio and HHD_Fun, and student work from leading schools of architecture, including AA, Harvard GSD, MIT, RMIT, UPenn, Columbia GSAPP, DIA, USC, CAFA and Tongji. The exhibition also includes work from the AAC DigitalFUTURE collaborative workshop between Tongji University and USC. The exhibition is curated by Neil Leach (USC) and Philip Yuan (Tongji), and designed by Kris Mun (USC). It is open weekdays until 15 September. Image: 'Digital Merzbau, designed by SCUT students, Lin Rungu and Zhang Mei, tutored by Neil Leach (USC).''
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on Air.
Curated by Gil Akos, Evan Greenberg, and Ronnie Parsons, these lectures aim to interrogate three main lines of inquiry--material systems, natural systems, and machanic systems. Each esteemed presenter will discuss how designers can approach problems through the lens of Embedded Intelligence in practice, research, and academia. There will be an in-person audience at the Architectural Association in London and a recording of the series will be available on-demand through the AA's online lecture video catalog.
The first lecture, Biological Intelligence, will take place on February 3 and will feature The Living's David Benjamin. Winner of the MoMA PS1 Young Architects Program, Benjamin has created paradigm-shifting projects such as Living Light, an interactive canopy in Seoul that reacts to air quality, and Amphibious Architecture, a project which expresses pollution levels in the Hudson River.
Future lectures will be given by Michael Winestock of the Architectural Association and Skylar Tibbits of the Self-Assembly Lab at MIT.
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