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lukeiamyourfather

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About lukeiamyourfather

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    Houdini Master

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  • Name Luke
  • Location Dallas
  1. boolean

    The NURB cap wasn't lining up with the rest of the tube. NURBS are good for some stuff and not for others. The polygon cap matched the rest of the geometry perfectly.
  2. boolean

    I did the cap after the convert to polygon plus a fuse. It works after that. screw_fixed.hipnc
  3. Is that documented somewhere? Does that include Linux and not just Windows? Asking because the evidence would seem to indicate otherwise. I'm curious is all, not flinging poo.
  4. There's a driver from Intel for using OpenCL on Xeon processors. Most Linux distributions don't have this in their repositories nor is it part of the kernel at this point. https://software.intel.com/en-us/articles/opencl-drivers#latest_linux_driver
  5. What hardware is used on the farm? What operating system?
  6. In a typical production Python is everywhere. Not everyone has to know Python but someone has to know Python. As scenes become more complex the likelihood of them needing Python (or at least benefiting from Python) grows exponentially. It could be simple stuff like changing hundreds of parameters with a few lines of Python or it could be something much more complex like automation of processes and adding intelligence to artist tools. If you find yourself waiting on things or have downtime I'd start learning Python.
  7. The CPU benchmark shows them with varying performance. The OpenCL benchmark shows them as all being similar but this is to be expected as the OpenCL benchmark uses the GPU, not the CPU. So if all three were tested with the same GPU they should all come out roughly the same.
  8. I would go with a ThinkPad P50 if you absolutely must have a laptop (up to 64GB of memory and Xeon processor option). I wouldn't go with a Mac for Houdini under any circumstances. Apple and their "pro" nomenclature is a farce, 16GB is simply not enough and you can't upgrade it. Don't bother with a laptop unless you have no choice in the matter because you're throwing money out the window for mediocre performance and limited scalability.
  9. Exactly what Mark said. The extra PCI Express lanes are also going to be useful for high performance storage clusters with NVMe arrays or machines with tons of drives like ZFS. All around it's going to be a very useful platform in CGI production if the pricing is competitive.
  10. Yes, the GTX 1060 is supported in Linux. If possible pick a distribution with a repository that hosts the Nvidia drivers and associated DKMS configurations. One example is Ubuntu, they do a good job with the proprietary Nvidia drivers. https://help.ubuntu.com/community/BinaryDriverHowto/Nvidia A common stumbling block for users new to Linux is to download drivers from a manufacturer and try to install them. This is what you do in Windows. This is not what you do in Linux (unless you hate yourself and want to have a miserable day when the kernel updates and kills your drivers). Only install software provided by the repositories unless there's a good reason like the software isn't available in a repository like Houdini.
  11. Naples is targeting supercomputing and massively parallel applications (Mantra and other renderers are definitely in this category). It will be especially useful for OpenCL and CUDA with 128 PCI Express lanes, that's crazy. The Xeon E5-2600 series has 40 PCI Express lanes. It may or may not make a good workstation platform depending on how much stuff you do that relies on a single processor core. These days that's less and less common but there are some applications that lag in various areas. It will likely make a good render node and simulation node if their pricing is competitive like the Ryzen products.
  12. The dual Xeon machine will be faster and it can accommodate a lot more memory. The downside is it'll require more than twice as much power, this can be quite annoying in a small office or home setting because it'll make the room hotter.
  13. Major upgrades have compatibility breaking changes (e.g. H15.5 to H16.0). This has always been the case. Old shelf scripts, digital assets, scenes, and the like are not going to work 100% of the time in another major version. You'll have to asses the things one at a time and make necessary changes if you want to bring over all of your previous stuff. This is why production facilities will use the same major version of Houdini (or any other software for that matter) for the length of a production even if it's outdated by the end of the production.
  14. That would be nice but I'd rather the development time be spent on features we can use in production. That's my two cents.
  15. On Cinebench R15 the 1700X is on par with a 6900K ($399 and $1089). The memory bandwidth might be an issue but I see the number of memory slots a bigger issue (4 versus 8). It's as if you could get a cheap 8 core processor for the 1151 socket platform in terms of what it's offering. For students and hobbyist this is awesome. For professionals I don't see it as that alluring. I'm hoping their Opteron refresh based on Zen will bring some competition back to the server and workstation market.