conga-QG - AMD G-Series SoC

conga-QG - Qseven-Modul based on AMD Embedded G-Series SoC

The conga-QG requires 33% less power than previous module with AMD G-Series and offers optimized graphics performance.The Modules are based on the AMD Embedded G-Series SOC (System-on-Chip) platform. This single-chip solution combines the improved processing power of the "Jaguar" processor with the graphics core of AMD Radeon™ 8000 technology. The conga-QG Qseven module is available with the following processor variants:

AMD Embedded GX-210HA (2 x 1.0 GHz, L2 cache 1MB, 9 W)
AMD Embedded GX-210JA (2 x 1.0 GHz, L2 cache 1MB, 6W)
AMD Embedded GX-209HA (2 x 1.0GHz, L2 cache 1MB, 9W)
AMD Embedded GX-212JC (2 x 1.2 GHz, L2 cache 1 MB, 6 W)
AMD Embedded GX-412HC (4 x 1.2 GHz, L2 cache 2MB, 7 W)

Users benefit from outstanding multimedia performance, excellent performance-per-watt ratios and flexible task distribution between CPU and GPU. The fanless module design is particularly suitable for cost-sensitive applications in the control and automation industry, digital gaming, communications infrastructures, and graphics-rich devices such as thin clients, digital information boards and medical-imaging equipment.

The integrated AMD Radeon™ graphics supports DirectX® 11.1, OpenGL 4.2 for fast 2D and 3D imaging, plus OpenCL™ 1.2 to execute program code with the integrated GPUs. The dedicated hardware, Universal Video Decoder 4.2, for the seamless processing of BluRays with HDCP (1080p) decodes H.264, MPEG4, VC-1, MPEG-2 video streams. The available display interfaces include single/dual channel 18/24bit LVDS and DisplayPort 1.2, as well as DVI/HDMI 1.4a for the direct control of two independent displays. DisplayPort 1.2 also supports multi-stream transport (MTS) enabling the control of up to two displays per graphics port in daisy chain mode.

OpenCL Support

OpenCL is an Application Programming Interface (API), which enables developers to take full advantage of the high performance graphics cores of AMD’s Accelerated Processing Unit (APU) for a variety of non-graphical computing tasks. For parallel tasks, the processor cores can offload jobs to the graphics unit, thereby increasing overall system performance far beyond previously possible levels. This process can be used, for example, for filtering algorithms of photo editing programs such as Photoshop, programs for encoding and converting video data and Adobe Flash Player. In the past, developers have been struggling with the fact that traditional CPU architectures and programming tools were of limited use for vector-oriented data models with parallel multi-threading. If the basic requirements for an X86 architecture are met, it makes sense to use a General Purpose Computation on Graphics Processing Unit (GPGPU) instead of a Digital Signal Processor (DSP). The individual GPGPU graphics engines can be programmed via OpenCL and are flexible with the option of allocating different tasks to each engine. AMD already provides software development kits for OpenCL programming, which makes moving to a new type of data processing easier.



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