Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
PDS/PIO: lightweight libraries for collective parallel I/O
SC '98 Proceedings of the 1998 ACM/IEEE conference on Supercomputing
Case study: the "Office of Real Soon Now" for visualization
Proceedings of the conference on Visualization '02
High-Resolution Multiprojector Display Walls
IEEE Computer Graphics and Applications
Remote High-Performance Visualization and Collaboration
IEEE Computer Graphics and Applications
| Hi-index | 0.00 |
The delivery of the first one tera-operations-per-second computer has significantly affected production data visualization, including data transfer, postprocessing, and rendering. Terascale computing has motivated a need to consider the entire data visualization system; improving a single algorithm will not suffice. This article presents a systems approach to decrease by a factor of four the time required to prepare large data sets for visualization. Daily production use requires balancing all stages in the processing pipeline, from physics simulation code to pixels on a screen, to yield good overall performance. The article also considers user display systems for individuals and teams, to complete the data path from screen to the analyst's eye. Performance of the initial visualization system is compared with recent improvements. "Lessons learned" from the coordinated deployment of improved algorithms also are discussed, including the need for 64-bit addressing and a fully parallel data visualization pipeline.