conga-QAF - AMD G-Series

conga-QAF - Qseven Module with AMD Embedded G-Series

The conga-QAF Qseven module, which is based on the AMD Embedded G-Series, is the first module to combine high graphics performance, dual core processing power and low power consumption in such a small form factor. It is therefore a perfect solution for cost-sensitive low-power control and visualization applications.

The conga-QAF is available in two processor variants: AMD G-Series G-T40E 1.0 GHz Dual Core (6.4 W); and AMD G-Series G-T40R 1.0 GHz Single Core (5.5 W) with up to 4 GB of low power onboard DDR3 memory.

AMD G-T40E (2 x 1.0 GHz, 512 kB x2 L2 cache, 6.4 W)
AMD G-T40R (1.0 GHz, 512 kB L2 cache, 5.5 W)
AMD G-T16R (615 MHz, 512kB L2 cache, 4.5 W)

The integrated graphics core with the Universal Video Decoder 3.0 for seamless processing of Blu-ray content via HDCP (1080p), MPEG-2, HD and DivX (MPEG-4) video supports DirectX® 11 and OpenGL 4.0 for fast 2D and 3D image display and OpenGL 1.1. LVDS. DisplayPort and HDMI graphics interfaces are provided.
The AMD G-Series graphics unit can also be used for compute-intensive parallelizable operations that are normally executed by the processor. OpenCL support is offered to ensure that non-graphics related standard operations are also easy and straightforward to perform. The conga-QAF Qseven module, which measures just 70 x 70 mm and uses the AMD Hudson E1 Fusion controller hub in combination with the G-Series processor, provides a powerful and compact two-chip solution with a complete feature set. Differential interfaces such as PCI Express and SATA are available. Support is further available for 8x USB 2.0, 2x SATA 3.0, 1x SDIO, 4x PCIe 2.0, LPC bus, I²C bus, Gigabit Ethernet and high definition audio. Extreme performance efficiencies make this a suitable concept for user-friendly control of mobile applications in automation, medical technology, digital signage, POI/POS, transportation, and many other fields.

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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