Home > Backup System, Connectivity, GPU, Graphics Cards, Hard Drive, RAM > Optimizing Your Revit Workstation for Point Clouds

Optimizing Your Revit Workstation for Point Clouds

Reality capture is a boom business for the building industry. With roughly 5 million existing commercial buildings in the United States alone, it’s easy to understand why. Laser-scanner-based reality capture is the dominant methodology used today to accurately capture the 3D state of an existing building. However, the typical laser-scan-based point cloud is in the hundreds of millions of 3D points, sometimes even going into the billions of points. With this additional data overhead on top of an already dense Building Information Model, it’s important to optimize your workstation hardware to deliver a productive user experience.

Point Clouds in Autodesk Revit 2013

Point Clouds in Autodesk Revit 2013

Finding the Bottleneck

Under the hood, Autodesk Revit utilizes the PCG point cloud engine to rapidly access the 3D points contained in point cloud and retrieve points to be displayed in the current Revit View.  Since the typical point cloud dataset is so large, a workstation’s RAM is insufficient to be used as the means for access by the PCG engine in Revit.  Instead, the disk drive is used for access, while a small amount of System RAM and Video RAM is used for the current Revit View.  Thus, the hard drive is commonly the limiting factor for point cloud performance, rather than system RAM, CPU, or GPU.

Learn the Options

With data access a common limiting factor to the performance of the Revit point cloud experience, let’s discuss the options available to deliver the best experience. There are two primary types that are found today: spinning platter and solid-state drives.

  • Spinning platter drives are the traditional hard drive technology, and are found in most computers today, as they deliver the best balance of storage capacity, read/write access speed, and cost.
  • Solid-state drives (SSDs) are relatively new technology, contain no moving parts, and are generally much faster at reading and writing data than typical spinning platter drives.

In a structured comparison completed by the Revit product team, we found the following results when comparing typical versions of these Disk Drive types:

Revit Point Cloud Performance Comparison

Revit Point Cloud Performance Comparison

Reap the Benefits

Based upon this investigation, we would highly recommend that those looking to optimize their Revit workstations for point cloud use install an SSD for at least the local storage of the point cloud data.  While you will also achieve additional benefits from running the entire OS on your SSD, a significant performance boost can be achieved through the retrofit of a ~$200 SSD to an existing workstation.

Author: Kyle Bernhardt, Product Line Manager, Autodesk Building Design Suite

  1. July 26, 2012 at 8:30 pm | #1

    Great link, right to the point. I’ve also noticed new addons and plug-ins that have recently been created. I’m particularly interested in this 3D PDF file(s) involved with Revit.

  2. August 30, 2012 at 10:17 pm | #2

    I really liked this article. I already had an SSD for my OS, but had felt the need for 2TB drive for storage. After reading this article, I think I may run out and get a SSD just for working projects.

  3. Jon
    January 7, 2013 at 8:24 pm | #3

    Have any experience with a PCIe based SSD http://www.tomshardware.com/reviews/pci-express-ssd,2952.html, I am considering this.

    Also, while you are right about the HD being the initial bottleneck, for your registration process if you don’t have a lot of RAM and a good CPU you’ll be waiting a while.

  1. No trackbacks yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 37 other followers

%d bloggers like this: