Creative Commons Attribution 4.0 International License SYCL Single Source C++ Parallel Programming GPU FPGA DSP Custom Hardware GPU CPU CPU CPU Standard C++ Application Code C++ Libraries ML Frameworks Fusion can give better performance on complex apps and libs than hand-coding AI/Tensor HW GPU FPGA DSP Custom Hardware GPU CPU CPU CPU AI/Tensor HW Other BackendsSYCL 2020 is here! Open Standard -generation-supercomputers/ https://research-portal.uws.ac.uk/en/publications/trisycl-for-xilinx-fpga https://www.imaginationtech.com/news/press-release/tensorflow-gets-native-support-for-powervr-gp

Real Time Hard Real Time Simple System Don’t care None Complicated System Operating system FPGA/Chip + CPU with operating systemLet’s review a system and decide if an operating system is

CPUs NEC VEs neoSYCL SX-AURORA TSUBASA TBB Any CPU Samsung PIMS XILINX Versal ACAP LLVM IR FPGA LLVM IR HLS Experimental DPC++ fork DPC++ fork MLIR Inteon Poligeist SYCL MLIR Bisheng

don’t care, nor do we need to! ● if it uses a GPU, we don’t care, nor do we need to! ● if it uses an FPGA or a SoC, we don’t care, nor do we need to!function abstraction std::string SpellCheck(std::string