Transforming human lives with world class image fidelity and performance
High Performance, Pinpoint Accuracy = Improved Diagnosis
Improving patient care with superior performance, multi-display visualization, and high resolution image fidelity. AMD embedded solutions offer the capabilities necessary to meet medical imaging applications’ requirements through scalable offerings that can help to reduce development and system costs while delivering a versatile and high-performance software-defined solution to support next-generation features.
Lightning Fast Prints, Modest Cost = Better ROI
AMD addresses the challenges for Print Imaging designers head-on with a comprehensive portfolio of processing solutions for printing and imaging systems spanning from midrange multifunction printers to enterprise-class large format and production printers.
Designers of medical imaging systems play an invaluable role in improving healthcare, leveraging every available technology advantage to ensure that medical practitioners can assess patients’ medical imagery with the highest possible resolution and accuracy. From diagnostic imaging to imaging-assisted medical procedures, the ability to maximize visual clarity and fidelity is vitally important. Simultaneously, designers are under increasing pressure to expand advanced visualization features to lower-end products while reducing overall system costs throughout their portfolios. Design agility is another key consideration, particularly for designers migrating to software-defined architectures that support sophisticated, next generation product features.
AMD solutions focus on the unique data throughput, image transformation, and post-processing requirements that medical imaging applications – including mobile and cart-based ultrasound systems, endoscopy systems and high-end MRI and CT scanners – require.
Minimal image processing requirements
Low resolution recording requirements
Modest data rate and compute
Modest image processing requirements
High data rate and compute
High image processing requirements
High End Imaging
Extreme data rate and compute
High image processing and display requirements
Server class CPU with GPU
The Benefits of GPU Acceleration
All of the medical imaging application modalities highlighted above involve image reconstruction from sound, radio, or X-ray waves. A typical ultrasound imaging pipeline, requires a large amount of signal and image processing. All of this processing is parallelizable and therefore well suited for GPU acceleration. The combination of GPU and CPU can be an ideal fit to process such a pipeline. Even though this pipeline is representative of an ultrasound device, the underlying principles are applicable to other modalities as well. Endoscope, CT, MRI, and X-ray imaging all contain similar levels of signal and image processing, thus making GPU compute an ideal fit for medical imaging applications.
Designers of next-generation printing and imaging solutions seek the freedom and flexibility to enable advanced value-add services while minimizing hardware, software and development expenses. They’re increasingly constrained by the cost, coding and maintenance inefficiencies imposed by legacy ASIC, DSP and FPGA processors, and burdened by antiquated system architectures and narrow processor support ecosystems that limit hardware and software scalability.
Providing a wide breadth of performance, power and price options – with support for both x86 processing architectures and software ecosystems – AMD enables OEMs to provide highly differentiated printing and imaging solutions and services that can lower their customers’ total cost of ownership. There are multiple x86 architectures?
AMD Processor Architecture Benefits
Where previously printing and imaging processing functions were partitioned across heterogeneous chipsets comprised of control CPUs, ASICs and/or DSPs and FPGAs, AMD’s Embedded SOCs and discrete graphics solutions can unify these functions under a single processor leveraging advanced GPU compute capabilities. In this architecture, the onboard GPU accelerates the computation of image processing algorithms via its massively parallel processing power, while consolidating scan and print pipeline processing and general control processing functions onto a common processing platform. This approach helps reduce BOM costs and simplifies hardware complexity while boosting processing performance, enabling fast, high quality scanning and printing, and advanced, revenue-generating value-add services including document management, data analysis and more. What’s more, system designers can exploit pin and software stack compatibility across select processors throughout AMD’s portfolio to maintain design continuity and streamline development cycles across their printing and imaging product portfolios.
End-To End Processing Agility
AMD Embedded SOCs can accelerate algorithm processing across scan pipelines (image correction, image enhancement, image compression and decompression, storage to memory) and print pipelines (vector image processing and raster image processing).
AMD processors are available in a wide range of thermal design power (TDP) levels starting from 5 watts, and are well suited to meet Energy Star and Lot 26 certification standards.
Select AMD processors contain an onboard AMD Secure Processor designed to meet stringent regulatory security specifications demanded by printer OEMs.
Parallel Processing Performance
Heterogeneous System Architecture (HSA) balances CPU and GPU workloads for optimal processing performance, helping reduce latencies and boosting access to shared cache memory.
AMD’s planned processor availability extends to up to 10 years, providing customers with a long-lifecycle roadmap.
Amplified Programming Efficiency
The parallel processing power of AMD’s GPU compute capabilities leveraging the open standard, cross-platform OpenCL™ and OpenGL® development tools provide the ability to develop and maintain unified, portable source code via a proven, non-proprietary programming platform.
Case Studies & Videos
Case Study: 3D Visualization for Portable Ultrasound Device
Case Study: Dental Assistance Device Adopts 3D Visualization
Case Study: Making DNA Replication More Intuitive
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