What is GPU Co-processing?

GPU co-processing technology bundles multiple GPUs within an integrated system, either on board or through deskside/rackmount add-on modules, and uses the massively parallel architecture of the graphics processor for general-purpose computing tasks. Because of that parallelism, single-precision floating-point operations can speed up dramatically.

Applications such as molecular modeling, weather modeling, and geophysical research can immensely benefit from GPU technology.

GPGPU System Options

Option 1: EclipseGP™
Aeon Computing offers a fully-integrated NVIDIA Tesla powered Personal SuperComputer system in the EclipseGP™. With up to 3 NVIDIA Tesla GPUs, the EclipseGP™ can achieve computational speeds of nearly 4.55 TFLOPs. It's essentially a supercomputing machine at a fraction of the cost and size. The EclipseGP™ is available as a desktop workstation or a 4U rackmount server.

Option 2: Deskside or Rackmount Add-on
Already have an existing system or workstation? No worries. Aeon Computing can enhance your system by linking it to GPU add-on modules. Available as a deskside box or series of 1U rackmount modules, these self-powered systems can easily be integrated into your system.

What is FPGA?

An FPGA, or Field Programmable Gate Array, is an "integrated circuit able to change interconnectivity of a large number of fundamental computing components via configuration information stored in onboard static RAM.” At a high level, FPGAs offer massive parallelism, have a high GFLOPs potential, and their technology curve exceeds Moore's Law. FPGAs offer application-specific acceleration. They can be (re)programmed at the factory or (as the name implies) in the field at a customer site. They are essentially specialized functional units that solve a specific problem, and are typically implemented as an algorithm-specific compute device – as a coprocessor to a conventional CPU motherboard.

EclipseFP featuring XtremeData FPGA-based In-Socket Accelerators™

Aeon Computing introduces a fully-integrated FPGA co-processor-based system in the EclipseFP. Systems come installed with XtremeData FPGA-based In-Socket Accelerators™. With these co-processing accelerators, an increase in speed, density, bandwidth can be achieved while lowering power consumption and cost per gate.