From HPCwire earlier this week, word of a series of tests in the DoE to see just how well the vis package it developed does on big (really, really big) datasets
The team ran VisIt using 8,000 to 32,000 processing cores to tackle datasets ranging from 500 billion to 2 trillion zones, or grid points. The project was a collaboration among leading visualization researchers from Lawrence Berkeley National Laboratory (Berkeley Lab), Lawrence Livermore National Laboratory (LLNL) and Oak Ridge National Laboratory (ORNL).
…”The results show that visualization research and development efforts have produced technology that is today capable of ingesting and processing tomorrow’s datasets,” said Berkeley Lab’s E. Wes Bethel, who is co-leader of VACET. “These results are the largest-ever problem sizes and the largest degree of concurrency ever attempted within the DOE visualization research community.”