Developers have long been frustrated by the challenge of upscaling images to enhance their appeal. But it doesn’t always improve their appearance. Scanning old family photos can help beloved images achieve an eternal, digital life. Let’s look at several examples of how this potent technology framework raises the bar for what’s possible for PC application developers, gamers and those who demand exceptional performance out of mobile processors. The applications not only perform much better, they’re easier to create - and the code can be deployed anywhere in device-specific iterations across CPUs, iGPUs, dGPUs, Vision Processing Units and FPGAs. OpenVINO prevents the overloading and bottle-necking that plagues many applications by simplifying the assignment of workloads across the entire computational platform. The Intel Iris Xe (also referred to as the integrated, or iGPU) and Intel Iris Xe MAX (also referred to as the discrete, or dGPU) can equally split tasks, completing a workload in roughly half the time.Ĭombining Deep Link technology, along with the Intel Distribution of OpenVINO Toolkit, enables the assignment of workloads across processors, helping to drive significant developer productivity gains and performance improvement in AI-based applications requiring upscaling enhancement, video streaming & capture, or video rendering. Deep Link enhances the way CPUs and GPUs interact, harnessing both integrated and discrete GPU capabilities - boosting the performance potential of AI-based applications. Partitioning was often done “naively,” and the performance gain didn’t justify the effort.īy running Intel Deep Link technology, developers now have the ability to strategically apply computing power that was previously unavailable, assigning tasks to parts of the computer that were otherwise dormant-and to do it efficiently.It was often extremely difficult for developers to partition workloads to harness these compute elements.Either GPUs and CPUs weren’t tightly coupled or multiple GPUs couldn’t be put to use very efficiently.But there were several problems with that: Some developers tried complicated partitioning schemes to maximize available compute resources. Until recently, gamers were forced to take calculated risks such as overclocking CPUs to attain higher utilization of existing compute.
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