CUDA Clustering System based on GPGPU

-Reliability, Availability and Serviceability Apart from traditional supercomputer systems which include thousands of processors, Jipsam system uses CUDAs for computation, resulting in much higher MTTR (Mean Time To Repair) due to reduced number of system components. Should any node fails, the failover mechanism keep the system functioning by re-assigning tasks to available nodes. Jipsam System Management Workstation notifies upon such a failure with diagnostic information to help identify the problem. Combined with flexible system architecture which allows hot-swap of system components, Jipsam supercomputing system enables continuous availability as well as high serviceability. -Compactness Built on proven CUDA computing technology, Jipsam supercomputing system provides drastically improved performance-to-cost ratio and considerably reduced power consumption as well as smaller size, which makes ideal solution for high-performance computing on lower resources. -Ease of use Jipsam system delivers powerful, easy-to-use GUI (graphical user interface)-based system management suite. This makes system administration much easier and effective. Sophisticated software environment also provides single-system view to users so they can use it without even knowing about complex underlying structure of the systems.