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The SYCL 2020 Reference Guide project aims to improve the SYCL developer ecosystem by providing a more usable version of the SYCL specification. An online searchable reference is needed, along the lines of, through which developers can rapidly find relevant material in top ranked web searches or browsing.

Submit your bid by Monday, June 12, 2023!

On April 27, 2023 the Vulkan® Ray Tracing TSG released the VK_KHR_ray_tracing_position_fetch extension, which exposes the ability to fetch vertex positions from an acceleration structure hit when tracing rays. The SPIR-V SPV_KHR_ray_tracing_position_fetch and GLSL GL_EXT_ray_tracing_position_fetch extensions have also been released to provide SPIR-V and GLSL support for this functionality.

The position of scene geometry is provided to ray tracing acceleration structures at build time and they include a derived form of the positions to enable efficient ray tracing and queries. Applications frequently require the position or a derived attribute of a triangle on a hit. For example, the geometric normal of the hit can be used as a biased ray origin for shadow rays in path tracers to prevent self intersection. The Ray Tracing Position Fetch extension enables direct retrieval of position and attribute information to avoid duplication of geometry data storage.

Eight leading European organisations have joined in the Horizon Europe project, SYCLOPS (Scaling extreme analYtics with Cross-architecture acceleration based on Open Standards). The vision of SYCLOPS is to democratize AI acceleration using open standards, and enabling a healthy, competitive, innovation-driven ecosystem for Europe and beyond. This vision relies on the convergence of two important trends in the industry: (i) the standardization and adoption of RISC-V, a free, open Instruction Set Architecture (ISA), for AI and analytics acceleration, and (ii) the emergence and growth of SYCL as a cross-vendor, cross-architecture, data parallel programming model for all types of accelerators, including RISC-V.

The goal of project SYCLOPS is to bring together these standards for the first time in order to demonstrate ground-breaking advances in performance and scalability of extreme data analytics using a standards-based, fully-open, AI acceleration approach. The SYCLOPS project partners are EURECOM, INESC ID, Ruprecht-Karls-Universitaet Heidelberg, CERN, HIRO-MicroDataCenters, AccelOM, Codasip, and Codeplay.

3D Tiles is used for sharing, visualizing, fusing, and interacting with massive heterogenous 3D geospatial content across desktop, web, mobile – and now metaverse – applications. Previously referred to as “3D Tiles Next,” Version 1.1 of the 3D Tiles Community Standard is designed for streaming high-resolution, semantically-rich 3D geospatial data to the metaverse. 3D Tiles 1.1 promotes several 3D Tiles 1.0 extensions to ‘core’ and introduces new glTF extensions for fine-grained metadata storage.

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