Version 1.1 expands Vulkan’s core functionality with developer-requested features, such as subgroup operations, while integrating a wide range of proven extensions from Vulkan 1.0. The Khronos Group announces the release of the Vulkan 1.1 and SPIR-V 1.3 specifications. Microsoft’s CLOn12 Mesa Code Adds SPIR/SPIR-V Support Such standards reduce costs, shorten time to market, and lower the barriers to using advanced techniques such as inferencing and vision acceleration in compelling real-world products. Acceleration standards for the embedded market can enable cross-platform software reusability, decouple software and hardware development for easier deployment and integration of new components, provide cross-generation reusability, and facilitate field upgradability. Open standards have an important role in helping hardware and software vendors navigate this complex technology environment. That has driven up integration costs for embedded accelerators, which in turn has constrained innovation and time-to-market efficiencies. However, the need to deploy accelerated processing, combined with the complexities of safety-critical certification, has created a confusing landscape of processors, accelerators, compilers, APIs, and libraries. At the same time, advanced user interfaces are being developed using high-quality 3D graphics and even augmented-reality technology. Cameras and sensor arrays are increasingly central to many use cases in diverse industries, ranging from automotive to industrial, and are generating increasingly rich data streams that require sophisticated processing. In this EE Times Europe article, Neil Trevett describes how the need for graphics and compute acceleration in embedded markets is growing.
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