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Why is FPGA Compilation Different? Types of SYCL* FPGA Compilation FPGA Compilation Flags Emulate and Debug Your Design Evaluate Your Kernel Through Simulation Device Selectors for FPGA FPGA IP Authoring Flow Fast Recompile for FPGA Generate Multiple FPGA Images (Linux only) FPGA BSPs and Boards Targeting Multiple Homogeneous FPGA Devices Targeting Multiple Platforms FPGA-CPU Interaction FPGA Performance Optimization Use of RTL Libraries for FPGA Use SYCL Shared Library With Third-Party Applications FPGA Workflows in IDEs
Intel oneAPI DPC++ Library (oneDPL) Intel oneAPI Math Kernel Library (oneMKL) Intel oneAPI Threading Building Blocks (oneTBB) Intel oneAPI Data Analytics Library (oneDAL) Intel oneAPI Collective Communications Library (oneCCL) Intel oneAPI Deep Neural Network Library (oneDNN) Intel oneAPI Video Processing Library (oneVPL) Other Libraries
Ahead-of-Time Compilation for GPU
The following example command produces app.out for a specific GPU target:
icpx -fsycl-targets=spir64_gen -Xs "-device <device name>" a.cpp b.cpp -o app.out
icpx -fiopenmp -fopenmp-targets=spir64_gen -Xopenmp-target-backend "-device <device name>" a.cpp b.cpp -o app.out
A list of allowed values for the device name are available from the Intel® oneAPI DPC++/C++ Compiler Developer Guide and Reference.
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