GPGPU

General Purpose computing on GPU. Brilliant technology. Put to work in the harshest environments.

GPGPU brilliance

Taking GPU performance beyond graphics and video.

A graphics processing unit applies huge numbers of processor cores – in parallel – to manipulating, in close to real time, the millions of individual pixels it takes to create photo-realistic images.

But all those cores aren’t good just for pixels. They’re equally capable of processing data or algorithms in parallel – so called general purpose computing on a GPU (GPGPU). For applications that require parallelism in processing, GPUs can be transformative.

Artificial Intelligence

Deep learning. Autonomy. Robotics. Artificial Intelligence. More.

The latest applications, designed to replicate human reasoning and human actions, absorb phenomenal amounts of data, analyze it and turn it into intelligent decisions and actions. That needs to happen in close to real time.

And that’s where GPUs excel, bringing hundreds of cores to bear on the problem, operating in parallel. The latest GPUs are capable of delivering over 100 TeraFLOPS of computing horsepower.

Even better: GPUs are more power-efficient than CPUs, making them ideal for deployment in SWaP-constrained environments.

GPGPU COTS Platforms

Abaco’s unique relationship with NVIDIA gives us an exceptional advantage in bringing the world’s leading graphics technologies to the battlefield. We leverage the massively parallel architecture of those technologies to bring TeraFLOPS of computing horsepower to demanding applications such as EW and ISR.

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Case Study

AI and machine learning are enabling new levels of capability in mission critical environments. CMRE took advantage in order to increase the efficiency and safety of unmanned underwater vehicles in detecting naval mines.

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