دانلود SideFX Houdini FX 20.0.547 Win/Mac/Linux طراحی و مدلسازی 3 بعدی

–OS : Windows 10 (64 bit) / Windows 8.1 / Windows 8 / Windows 7 SP1
-Windows Server (any version) is NOT supported.
–RAM : 4 GB required / 8 GB or higher and 64GB strongly recommended for fluid simulations
–CPU : Intel or AMD x64 CPU with SSE 4.2 required
–Disk Space : 2GB required for installation

Input Devices:
-3 Button mouse required
-Scroll wheel used where present
-Wacom tablet recommended for Houdini’s brush-based tools

GPU:
-A GL3.3 compliant graphics card is required. GL4.0+ is highly recommended.
-2GB VRAM or more is required. Less than this can result in display errors such as blank windows. High DPI displays (4K, 5K) or multiple monitors require a minimum of 4GB.
-Graphics card must support OpenCL version 1.2.
-It is VERY important that you install the latest driver for your graphics card. Failing to do so may result in display issues and/or slow performance:
Windows
-NVidia GeForce GPUs: 390.77 or higher (don’t use 376.xx – you’ll have slow performance and crashes)
-NVidia Quadro GPUs: 390.77 or higher (don’t use 376.xx – you’ll have slow performance and crashes)
-AMD: 17.Q1 or higher
-Intel 10.18.10.3958 or higher.

Monitor:
-Minimum resolution: 1024 x 768; Recommended resolution: 1920 x 1200 (widescreen).
-2GB VRAM or higher required for dual displays or single displays greater than 1920×1080.
-4GB of VRAM (or higher) required for High DPI displays such as 4K and 5K (3840×2160, 5120×2880)
-Color depth of 32-bit (“true color”) required.
-We recommend you either select sRGB as your color profile or calibrate your monitor to gamma 2.2.

GPU Acceleration:
On certain graphics cards, Houdini can use the GPU to dramatically increase the performance and speed of your Pyro FX and Fluid simulations.
In order to take advantage of this capability, you’ll need a GPU capable of supporting OpenCL.
The amount of VRAM your GPU has access to will limit the size of simulation that you can run on it. 4GB + is ideal for larger simulations.
GPU acceleration currently does NOT make use of multiple OpenCL devices (i.e. two or more graphics cards) but this may change at a future date.