Visible to Intel only — GUID: GUID-BF205C1F-F851-4955-ABF4-0F6CE6D42110
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
Visible to Intel only — GUID: GUID-BF205C1F-F851-4955-ABF4-0F6CE6D42110
Example GPU Commands
The examples below illustrate how to create and use static libraries with device code on Linux.
NOTE:
Linking with a dynamic library is not supported.
Produce a fat object with device code:
icpx -fsycl -c static_lib.cpp
Create a fat static library out of it using the ar tool:
ar cr libstlib.a static_lib.o
Compile application sources:
icpx -fsycl -c a.cpp
Link the application with the static library:
icpx -fsycl -foffload-static-lib=libstlib.a a.o -o a.exe