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HPCC - With MATLAB, LINUX, NVIDIA TESLA

High Performance Computing Clusters (HPCC) help solve some of the most challenging computational intensive tasks facing business, educational and scientific communities. By integrating the latest advances in industry-standard servers, high speed interconnects and leading open source and commercial software, HPC clusters deliver the performance of proprietary SMP (symmetric multiprocessing) systems, with the simplicity and value of industry standard computing.

High performance computing with MATLAB

Up to 4 Terra flops of performance in a 1 U rack system with 960 cores

LINUX HPC Clustering Capabilities

High Performance Computing Cluster (HPCC) combines multiple Symmetric Multi-Processor (SMP) computer systems together with high-speed interconnects to achieve the raw-computing power of classic "big-Iron" supercomputers.These clusters work in tandem to complete a single request by dividing the work among the server nodes, reassemble the results and present them to the client as if a single-system did the work. The parallel applications running on HPC are both numeric and data intensive and require medium to high-end industry standard computing resources to fulfill today's computational needs. Since HPC has such a strong implementation, the demand for it is growing at a tremendous speed and is becoming highly popular in all aspects.