In 2007 I was hired by NYU’s Interactive Telecommunications Program to work with Dan Shiffman on a system that would allow real-time interactive applications to run across multiple screens and computers.Â The primary use case for this system was the IAC Building’s 12′ x 120′ video wall.Â The video display was so large that a single computer wasn’t powerful enough to drive the display, and do real-time graphics rendering.Â The ultimate solution was to create a framework that would sync 3 high-end workstations, and to spread the rendering power across each machine.Â Dan Shiffman and I worked on the framework, which we called “Most Pixels Ever”, through Summer, 2007.Â In Fall 2007, Dan Shiffman used the framework in a class at NYU called “Big Screens” in which students create projects for IAC’s video wall, and which culminates with a show at IAC.
Although I don’t actively contribute anymore, the Most Pixels Ever Project is still alive and well, and is primarily maintained by Dan Shiffman.
The in-depth description below was written by Dan Shiffman. I’m reposting here from the Most Pixels Ever site for convenience.
How Does It Work?
The Most Pixels Ever library is a software solution for taking a single-screen real-time graphics application (developed in Java) and spanning it across multiple screens (each connected to a separate computer). Its features include â€œtime syncingâ€ and â€œspatial syncing.â€ Time syncing ensures that each frame is rendered simultaneously on each display and is achieved by network communication. Spatial syncing ensures that each client computer renders the appropriate portion of the larger display on its display.
When using MPE, you only have to develop a single client application. The same client application can run on each computer. Each application, however, will load a initialization file that specifies its location, width, and height within the larger, master display.
Spatial Syncing: Master Dimensions and Local Dimensions
The driving force behind the MPE system are â€œmaster dimensionsâ€ and â€œlocal dimensions.â€ Master dimensions are defined as the total width and height (in pixels) of the space encompassed by all of the displays. Local dimensions, on the other hand, are the width and height of an individual display within the master dimensions.
For example, consider a basic set-up of four LCD monitors (each set to 800 x 600) placed side by side in a horizontal line. The master dimensions of all four screens combined is therefore 3200 x 600. While the local dimensions for any given display remain 800 x 600, the local location differs from display to display.
Local locations: (0,0) (800,0) (1600,0) (2400,0).
The Most Pixels Library, however, is a great deal more flexible than the above scenario. For example, what if you want to consider the bezels between each screen? After all, if you want objects to animate seamlessly from one display to the next, they will have to pass along the invisible space between the monitors. Armed with a ruler, you reasonably estimate the width of the screenâ€™s bezels in pixels (relative to the width of the actual display area itself). Letâ€™s assume you measure 100 pixels in between each screen. We now have:
Master Dimensions: 800 4 + 100 3 = 3500 x 600 pixels Local Dimensions: 800 x 600 Local Locations: (0,0) (900,0) (1800,0) (2700,0)
Lining up screens horizontally is by no means required with MPE. The individual displays can be placed arbitrarily throughout the master space (and can be different sizes, dimensions, etc.)
MPE works because computational media is inherently deterministic. If each client computer runs the same application and computes each frame at precisely the same time, the graphics will always stay synchronized. (If you use random numbers in your application, each client will need to seed the random generator with an identical value.)
In order for MPE to work, you must run the MPE server application (one of the client computers can also act as the server or you can use an additional machine). Based on a frame rate that you specify, the server broadcasts a message (â€Render a new frame!â€) every N milliseconds to each client. The next frame will not be triggered until all clients have reported back that they have completed the current frame. MPE will only run as fast as the slowest computer connected to the system.
Admittedly this is inefficient. With MPE, although each machine only displays a portion of the larger image, it must compute everything for all displays. While this isnâ€™t ideal for performance, with MPE we are emphasizing simplicity above optimization. And for many multi-screen applications, the computation is easy enough for single machines to handle. (More advanced applications that require further optimization can be developed with MPE using the messaging system described below or by hacking the source.)
MPE offers a means of broadcasting messages between clients as well. For example, if you want to visualize information from an RSS feed or track a physical object with computer vision, you have a few options. The server can receive messages via a listening port and broadcast those messages to all clients. In addition, you can ask a single client to perform the data retrieval or analysis and broadcast the result to all clients. MPE only works if all clients perform all computations with the same exact data during the same exact frame. The server, therefore, is in charge of handing out all messages, locking them to specific frames.
All pictures on this page are attributed to Dan Shiffman.