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Julia Language Delivers Petascale HPC Performance
- yarapavan 9y agoThe project took advantage of all 9300 Intel Xeon Phi Phase II nodes on the NERSC (National Energy Research Scientific Computing Center) Cori supercomputer. Even in HPC terms, the Celeste project is big, as it created the first comprehensive catalog of visible objects in our universe by processing 178 terabytes of SDSS (Sloan Digital Sky Survey) data[1]. Remarkably, the combination of Cori supercomputer and Julia application was able to load and analyze the SDSS data set in only 15 minutes. Thus the Celeste team demonstrated that the Julia language can support both petascale compute and terascale big data analysis on a leadership HPC system plus scale to handle the seven petabytes of data expected to be produced by the Large Synoptic Survey Telescope (LSST) every year