  We present an efficient and inexpensive to develop application for
interactive high-performance parallel visualization. We extend popular APIs
such as Open Inventor and VTK to support commodity-based cluster visualization.
Our implementation follows a standard master/slave concept: the general idea is
to have a ``Master'' node, which will intercept a sequential graphical user
interface (GUI) and broadcast it to the ``Slave'' nodes. The interactions
between the nodes are implemented using MPI. The parallel remote rendering uses
Chromium. This paper is mainly the report of our implementation experiences. We
present in detail the proposed model and key aspects of its implementation.
Also, we present performance measurements, we benchmark and quantitatively
demonstrate the dependence of the visualization speed on the data size and the
network bandwidth, and we identify the singularities and draw conclusions on
Chromium's sort-first rendering architecture. The most original part of this
work is the combined use of Open Inventor and Chromium.
