Title of article :
Garuda: A Scalable Tiled Display Wall Using Commodity PCs
Author/Authors :
Nirnimesh، نويسنده , , Harish، نويسنده , , P.، نويسنده , , Narayanan، نويسنده , , P.J.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
Cluster-based tiled display walls can provide cost-effective and scalable displays with high resolution and a large display
area. The software to drive them needs to scale too if arbitrarily large displays are to be built. Chromium is a popular software API used
to construct such displays. Chromium transparently renders any OpenGL application to a tiled display by partitioning and sending
individual OpenGL primitives to each client per frame. Visualization applications often deal with massive geometric data with millions of
primitives. Transmitting them every frame results in huge network requirements that adversely affect the scalability of the system. In
this paper, we present Garuda, a client-server-based display wall framework that uses off-the-shelf hardware and a standard network.
Garuda is scalable to large tile configurations and massive environments. It can transparently render any application built using the
Open Scene Graph (OSG) API to a tiled display without any modification by the user. The Garuda server uses an object-based scene
structure represented using a scene graph. The server determines the objects visible to each display tile using a novel adaptive
algorithm that culls the scene graph to a hierarchy of frustums. Required parts of the scene graph are transmitted to the clients, which
cache them to exploit the interframe redundancy. A multicast-based protocol is used to transmit the geometry to exploit the spatial
redundancy present in tiled display systems. A geometry push philosophy from the server helps keep the clients in sync with one
another. Neither the server nor a client needs to render the entire scene, making the system suitable for interactive rendering of
massive models. Transparent rendering is achieved by intercepting the cull, draw, and swap functions of OSG and replacing them with
our own. We demonstrate the performance and scalability of the Garuda system for different configurations of display wall. We also
show that the server and network loads grow sublinearly with the increase in the number of tiles, which makes our scheme suitable to
construct very large displays.
Keywords :
Parallel visualization and graphics clusters , large-scale displays. , visualization over networks
Journal title :
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
Journal title :
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS