Visible to Intel only — GUID: GUID-A0F640F1-F164-49B3-ADF6-44732B7A52E9
Intel oneAPI DPC++/C++ Compiler Handbook for FPGAs Overview
Introduction To FPGA Design Concepts
Intel oneAPI FPGA Development
Getting Started with the Intel oneAPI DPC++/C++ Compiler for Intel FPGA Development
Defining a Kernel for FPGAs
Debugging and Verifying Your Design
Analyzing Your Design
Optimizing Your Kernel
Optimizing Your Host Application
Integrating Your Kernel into DSP Builder for Intel FPGAs
Integrating Your RTL IP Core Into a System
RTL IP Core Kernel Interfaces
Loops
Pipes
Data Types and Arithmetic Operations
Parallelism
Memories and Memory Operations
Libraries
Additional FPGA Acceleration Flow Considerations
FPGA Optimization Flags, Attributes, Pragmas, and Extensions
Quick Reference
Additional Information
Document Revision History for the Intel oneAPI DPC++/C++ Compiler Handbook for Intel FPGAs
Notices and Disclaimers
Set the Environment Variables and Launch Visual Studio* Code
Create an FPGA Visual Studio* Code Project
Enable Code Completion in a Visual Studio* Code Project
Configure Running and Debugging in a Visual Studio* Code Project
Debugging Your Kernel in Visual Studio* Code with a Native Debugger
Generate and View the FPGA Optimization Report
Build and Run the FPGA Hardware Image
Throughput
Resource Use
System-level Profiling Using the Intercept Layer for OpenCL™ Applications
Multithreaded Host Application
Utilizing Hardware Kernel Invocation Queue
Double Buffering Host Utilizing Kernel Invocation Queue
N-Way Buffering to Overlap Kernel Execution
Prepinning Memory
Simple Host-Device Streaming
Buffered Host-Device Streaming
Refactor the Loop-Carried Data Dependency
Relax Loop-Carried Dependency
Transfer Loop-Carried Dependency to Local Memory
Minimize the Memory Dependencies for Loop Pipelining
Unroll Loops
Fuse Loops to Reduce Overhead and Improve Performance
Optimize Loops With Loop Speculation
Remove Loop Bottlenecks
Improve fMAX/II with Shannonization
Optimize Inner Loop Throughput
Improve Loop Performance by Caching Data in On-Chip Memory
Global Memory Bandwidth Use Calculation
Manual Partition of Global Memory
Partitioning Buffers Across Different Memory Types (Heterogeneous Memory)
Partitioning Buffers Across Memory Channels of the Same Memory Type
Ignoring Dependencies Between Accessor Arguments
Contiguous Memory Accesses
Static Memory Coalescing
Specify Schedule fMAX Target for Kernels (-Xsclock=<clock target>)
Create a 2xclock Interface (-Xsuse-2xclock)
Disable Burst-Interleaving of Global Memory (-Xsno-interleaving)
Force Ring Interconnect for Global Memory (-Xsglobal-ring)
Force a Single Store Ring to Reduce Area (-Xsforce-single-store-ring)
Force Fewer Read Data Reorder Units to Reduce Area (-Xsnum-reorder)
Disable Hardware Kernel Invocation Queue (-Xsno-hardware-kernel-invocation-queue)
Modify the Handshaking Protocol Between Clusters (-Xshyper-optimized-handshaking)
Disable Automatic Fusion of Loops (-Xsdisable-auto-loop-fusion)
Fuse Adjacent Loops With Unequal Trip Counts (-Xsenable-unequal-tc-fusion)
Pipeline Loops in Non-task Kernels (-Xsauto-pipeline)
Control Semantics of Floating-Point Operations (-fp-model=<value>)
Modify the Rounding Mode of Floating-point Operations (-Xsrounding=<rounding_type>)
Global Control of Exit FIFO Latency of Stall-free Clusters (-Xssfc-exit-fifo-type=<value>)
Enable the Read-Only Cache for Read-Only Accessors (-Xsread-only-cache-size=<N>)
Control Hardware Implementation of the Supported Data Types and Math Operations (-Xsdsp-mode=<option>)
Generate Register Map Wrapper (-Xsregister-map-wrapper-type)
Allow Wide Memory Initialization (-Xsallow-wide-device-globals)
Specify Schedule fMAX Target for Kernels (scheduler_target_fmax_mhz)
Specify a Workgroup Size (max_work_group_size/reqd_work_group_size)
Specify Number of SIMD Work Items (num_simd_work_items)
Omit Hardware that Generates and Dispatches Kernel IDs (max_global_work_dim)
Omit Hardware that Supports Global Work Offsets (no_global_work_offset)
Reduce Kernel Area and Latency (use_stall_enable_clusters)
Visible to Intel only — GUID: GUID-A0F640F1-F164-49B3-ADF6-44732B7A52E9
Device Selectors for FPGA
Depending on whether you are targeting the FPGA emulator, simulator, or hardware, you must use the correct SYCL* device selector in the host code. You can use the FPGA hardware device selector for simulation also. The following host code snippet demonstrates how you can use a selector to specify the target device at compile time:
// FPGA device selectors are defined in this utility header, along with
// all FPGA extensions such as pipes and fpga_reg
#include <sycl/ext/intel/fpga_extensions.hpp>
int main() {
// Select either:
// - the FPGA simulator
// - the FPGA device (a real FPGA)
// - the FPGA emulator device (CPU emulation of the FPGA)
#if FPGA_SIMULATOR
auto selector = sycl::ext::intel::fpga_simulator_selector_v;
#elif FPGA_HARDWARE
auto selector = sycl::ext::intel::fpga_selector_v;
#else // #if FPGA_EMULATOR
auto selector = sycl::ext::intel::fpga_emulator_selector_v;
#endif
queue q(selector);
...
}
NOTE:
- The FPGA emulator and the FPGA are different target devices. Intel® recommends using a preprocessor define to choose between the emulator and FPGA selectors. This makes it easy to switch between targets using only command-line flags. For example, you can compile the above code snippet for the FPGA emulator by passing the flag -DFPGA_EMULATOR to the icpx command.
Since FPGAs support only the ahead-of-time compilation method, dynamic selectors (such as the default_selector) are less useful that explicit selectors when targeting FPGAs.
CAUTION:
When targeting the FPGA emulator or FPGA hardware, you must pass correct compiler flags and use the correct device selector in the host code. Otherwise, you might experience run time failures. To get started with compiling SYCL* code for FPGA, refer to the FPGA tutorial sample "fpga_compile" on GitHub.