Innovative NVIDIA® Tesla™ solutions for High Performance Computing offer professional computing capacities for problems in natural sciences, engineering and other technical fields which could not be computed up to this point of time. These systems constitute dedicated high-performance GPU computing solutions providing workstations and compute clusters with the performance required for professional supercomputing.
Most Important Features :
* Massive parallel computing architecture with 448 arithmetic-logic units per processor.
* Scaling to several graphics processors with a performance of thousands of arithmetic-logic
units.
* Joint data memory of low latency.
* 32-bit and 64-bit floating-point operations according to IEEE 754.
* Highly compatible and easily learnable CUDA C programming environment.
* Fast communication with large bandwidth between CPU and graphics processor
(PCI-Express 2.0)
* Protection of data in memory to enhance data integrity and reliability of applications
MEGWARE HPC Development System
Enjoy the computing capacity of a cluster at your own PC - up to 250 times faster than standard PCs and workstations. The MEGWARE HPC Development System has up to four NVIDIA® Tesla™ processors and thus up to 1792 parallel arithmetic-logic units. Besides compute-intensive applications such as CAD and 3-D rendering, this Personal Supercomputer is especially suited for the programming of software applications for HPC clusters.
MEGWARE Hybrid Cluster System
The Hybrid Cluster System is a scalable compute cluster with 4 or 8 dual nodes. Each dual node consists of 2 compute nodes and a NVIDIA® Tesla™ S2050 or S2070 computing system. With this, each dual node includes more than 1792 arithmetic-logic units. In the field of High Performance Computing, these clusters cope with the most complex applications like, for instance, computing for drug development, oil and gas exploration, and financial numerics. With their low space requirements and a very high energy efficiency, these systems are recommended for cost-conscious users with high demands on computing capacity.
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