High Performance Computing refers to the use of supercomputers to enable complex research activities involving intensive numerical analysis, modeling, and simulation. Supercomputers play a vital role in the field of computational science, and are used in aerodynamics, propulsive flows, quantum mechanics, space weather, climate modeling, and many other complex phenomena.
Vega is the brightest star in the constellation of Lyra, the fifth brightest star in the sky and the second brightest star in the northern celestial hemisphere.
Vega, Embry-Riddle's 3024-core Cray CS400 supercomputer will substantially enhance the University's position to attract and conduct both applied and theoretical, externally funded research. For example, Vega will foster collaborative applied research with industry at the John Mica Engineering and Aerospace Innovation Complex at Embry-Riddle Research Park.
“As a powerful numerical research tool, it is a wonderful complement to the new state-of-the-art wind tunnel and other experimental facilities in the MicaPlex,” said HPC Chair Dr. William Engblom.
Vega is also needed to accommodate the rapid growth in externally funded research and Ph.D.-level research at ERAU.
ERAU’s Vega is rated at about 111 TFLOPS or 111 Trillion Floating Point Operations Per Second. Specifications include:
|Processor Type||Intel E5-2697 v4|
|# of Nodes||84|
|# Cores Per Node||36 Cores of 2.3Ghz|
|# of Processor Cores||3,024|
|# of GPU Nodes||2|
|# of CUDA Cores||3,840 x 4|
|Minimum RAM Per Core||7.1|
Dr. Engblom, a professor of Mechanical and Aerospace Engineering, is leading a research group to develop a unique flow solver for “tip-to-tail” simulation of propulsive devices. HPC is being used to develop and test this solver to simulate turbine blade film cooling, in collaboration with NASA Glenn Research Center.
Physics professor Dr. Heidi Nykyri is leading research to develop a new computational space weather model. HPC will be used to test and run this model. The model has four operational stages and the final stage will allow for real-time space weather prediction utilizing data from multi-point measurements in space.
Assistant Professor of Aerospace Engineering Dr. Mark Ricklick is leading research in the area of thermal management of propulsion systems funded through a NASA Research Grant. The work involves investigating the performance of novel cooling configurations in an effort to optimize designs and maximize performance.