Data intensive analysis on the gordon high performance data and compute system
RS Sinkovits, P Cicotti, S Strande, M Tatineni… - Proceedings of the 17th …, 2011 - dl.acm.org
RS Sinkovits, P Cicotti, S Strande, M Tatineni, P Rodriguez, N Wolter, N Balac
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011•dl.acm.orgThe Gordon data intensive computing system was designed to handle problems with large
memory requirements that cannot easily be solved using standard workstations or
distributed memory supercomputers. We describe the unique features of Gordon that make it
ideally suited for data mining and knowledge discovery applications: memory aggregation
using the vSMP software solution from ScaleMP, I/O nodes containing 4 TB of low-latency
flash memory, and a high performance parallel file system with 4 PB capacity. We also …
memory requirements that cannot easily be solved using standard workstations or
distributed memory supercomputers. We describe the unique features of Gordon that make it
ideally suited for data mining and knowledge discovery applications: memory aggregation
using the vSMP software solution from ScaleMP, I/O nodes containing 4 TB of low-latency
flash memory, and a high performance parallel file system with 4 PB capacity. We also …
The Gordon data intensive computing system was designed to handle problems with large memory requirements that cannot easily be solved using standard workstations or distributed memory supercomputers. We describe the unique features of Gordon that make it ideally suited for data mining and knowledge discovery applications: memory aggregation using the vSMP software solution from ScaleMP, I/O nodes containing 4 TB of low-latency flash memory, and a high performance parallel file system with 4 PB capacity. We also demonstrate how a number of standard data mining tools (e.g. Matlab, WEKA, R) can be used effectively on Dash, an early prototype of the full Gordon system.
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