This paper presents initial results from research targeted at the development of cost-effective s... more This paper presents initial results from research targeted at the development of cost-effective scalable visualization and rendering technologies. The implementations of two 3D graphics libraries based on the popular sort-last and sort-first parallel rendering techniques are discussed. An important goal of these implementations is to provide scalable rendering capability for extremely large datasets (>> 5 million polygons). Applications can use these libraries for either run-time visualization, by linking to an existing parallel simulation, or for traditional postprocessing by linking to an interactive display program. The use of parallel, hardware-accelerated rendering on commodity hardware is leveraged to achieve high performance. Current performance results show that, using our current hardware (a small 16-node cluster), we can utilize up to 85% of the aggregate graphics performance and achieve rendering rates in excess of 20 million polygons/second using OpenGL® with lighting, Gouraud shading, and individually specified triangles (not t-stripped).
The Giga-Plant is a next generation compute cluster architecture under construction within the Sc... more The Giga-Plant is a next generation compute cluster architecture under construction within the Scalable Computing Laboratory (SCL). This work describes the general cluster design philosophy utilized on this machine and others, and illustrates the performance evaluation process that was exercised in order to make an informed hardware purchasing decision. We present network communication throughput results taken from several hardware platforms
This paper presents initial results from research targeted at the development of cost-effective s... more This paper presents initial results from research targeted at the development of cost-effective scalable visualization and rendering technologies. The implementations of two 3D graphics libraries based on the popular sort-last and sort-first parallel rendering techniques are discussed. An important goal of these implementations is to provide scalable rendering capability for extremely large datasets (>> 5 million polygons). Applications can use these libraries for either run-time visualization, by linking to an existing parallel simulation, or for traditional postprocessing by linking to an interactive display program. The use of parallel, hardware-accelerated rendering on commodity hardware is leveraged to achieve high performance. Current performance results show that, using our current hardware (a small 16-node cluster), we can utilize up to 85% of the aggregate graphics performance and achieve rendering rates in excess of 20 million polygons/second using OpenGL® with lighting, Gouraud shading, and individually specified triangles (not t-stripped).
The Giga-Plant is a next generation compute cluster architecture under construction within the Sc... more The Giga-Plant is a next generation compute cluster architecture under construction within the Scalable Computing Laboratory (SCL). This work describes the general cluster design philosophy utilized on this machine and others, and illustrates the performance evaluation process that was exercised in order to make an informed hardware purchasing decision. We present network communication throughput results taken from several hardware platforms
Uploads
Papers by Vasily Lewis