Tukey is the ALCF’s newest analysis and visualization cluster. Equipped with state-of-the-art graphics processing units (GPUs), Tukey converts computational data from Mira into high-resolution visual representations. The resulting images, videos, and animations help users to better analyze and understand the data generated by Mira. Tukey can also be used for statistical analysis, helping to pinpoint trends in the simulation data. Additionally, the system is capable of preprocessing efforts, such as meshing, to assist users preparing for Mira simulations. Tukey shares the Mira network and parallel file system, enabling direct access to Mira-generated results.
- Two 2 GHz 8-core AMD Opteron CPUs per node
- 1,536 cores
- Two NVIDIA Tesla M2070 GPUs per
- Memory: 6 TB of RAM, 1.1 TB of GPU RAM
- QDR InfiniBand interconnect
- GPU peak performance (aggregate) over 98 teraflops (double precision)
Most science applications that run on large-scale systems like Intrepid at the Argonne Leadership Computing Facility (ALCF) generate huge volumes of data that represent science results. Researchers analyze and explore this data output, and often convert the data to visual representations. To facilitate data analytics and visualization at the ALCF, researchers employ Eureka, one of the world’s largest installations of NVIDIA Quadro Plex S4 external graphics processing units (GPUs). By using the NVIDIA visual computing system as the base graphics building block, Eureka enables breakthrough levels of productivity and capability in visualization and data analysis.
- 100 dual quad-core servers
- 200 Quadro FX5600 GPUs in the S4s
- Memory: 3.2 TB+ RAM
- Peak Performance: More than 111 TF
Gadzooks is the ALCF's test and development system for visualization.
- 4 compute nodes, each with two 2.0 GHz quad-core Xeon servers
- 8 NVIDIA Quadro FX5600 GPUs in two S4s
- Memory: 32 GB RAM