GE Fanuc Intelligent Platforms rolled out the OpenVPX-compatible GRA111 high performance graphics board. The GRA111 features NVIDIA’s new GT 240 GPU (graphics processing unit). It is the first rugged implementation of a CUDA-capable GPU. The GRA111 is the first member of GE Fanuc’s CUDA-enabled products family for military and aerospace embedded computing. The GRA111 board brings supercomputing capability to applications and environments that require leading edge processing such as radar, signals intelligence, and video surveillance and interpretation.
GE Fanuc GRA111 3U VPX Graphics Board Highlights
- OpenVPX-compatible 3U VPX NVIDIA GT 240 based Graphics Processing Unit (GPU)
- 96 Processor Cores
- 540 MHz graphics clock
- 1302 MHz processor clock
- Support NVIDIA CUDA technology, OpenCL, OpenGL, NVIDIA PureVideo Technology (PUHD), NVIDIA PhysX-ready, Microsoft DirectX
- 1 GByte DDR3 SDRAM
- Two independent output channels
- VESA output resolutions to 2048×1536
- DVI 1.0 digital video output (single or dual link)
- Air and conduction cooled variants
- VPX REDI
The 3U format GRA111 derives much of its performance from the 96 cores, 128-bit memory interface, 1 GByte of DDR3 video memory, 16-lane PCI Express Gen 2 interface, 540MHz graphics clock, and 1,302MHz processor clock of the NVIDIA GT 240 GPU.
Optionally available as an LRM (Line Replaceable Module) in accordance with the VPX-REDI (VITA 48) standard and with a rich set of I/O, the advanced capabilities of the GRA111 can also be applied to many of the most common graphics and video applications. Dual, independent channels mean that it is capable of driving RGB analog component video, digital DVI 1.0, and HDMI standards. In addition, the GRA111′s video input capability allows integration of sensor data using RS170, NTSC or PAL video formats.
NVIDIA’s CUDA is a general purpose parallel computing architecture that takes advantage of the parallel compute engine in NVIDIA GPUs to solve many computational problems in a fraction of the time required on a general purpose CPU. It includes the CUDA Instruction Set Architecture (ISA) and the parallel compute engine of the GPU. CUDA has been shown to deliver a 100x increase in speed in a broad range of applications that lend themselves to parallel computing.
More info: GE Fanuc Intelligent Platforms