Intel® oneAPI DPC++/C++ Compiler System Requirements

Last Updated: 12/22/2021

Introduction

Learn more about the hardware, operating system, and software prerequisites for this compiler and library.

Hardware Requirements

CPU Processor Requirements

Systems based on Intel® 64 architectures below are supported both as host and target platforms.

  • Intel® Core™ processor family or higher
  • Intel® Xeon® processor family
  • Intel® Xeon® Scalable processor family

Requirements for Accelerators

​Memory Requirements

  • 16 GB is for CPU and GPU development
  • FPGA development:
    • 48 GB for Intel® PAC with Intel® Arria® 10 FPGA
    • 64 GB for Intel® FPGA PAC D5005 (recommended)

NOTE: Intel recommends that your system be configured to provide virtual memory equal to the recommended physical RAM necessary to process your design.

Software Requirements

Note: These OS distributions are tested by Intel or known to work; other distributions may or may not work and are not recommended. If you have questions, access the Intel Community Forums when you need assistance.  If you have Commercial Support, create a support ticket.

Linux*

Operating Systems

CPU Host/Target Intel Integrated Graphics (GPU)​ FPGA
  • Ubuntu* 18.04 LTS, 20.04 LTS
  • Red Hat* Enterprise Linux* 8.x
  • SUSE Linux Enterprise Server (SLES)* 15 SP3
  • Fedora 34

Gen9:

  • Ubuntu 18.04 LTS, 20.04 LTS
  • RHEL 8.x
  • SLES 15 SP3
  • Linux kernel 4.11 or higher
  • RHEL 8.x
  • Ubuntu 18.04 LTS, 20.04 LTS
  • SLES 15 SP3

 

NOTE:
- For hardware compiles on FPGA, you must use Intel® FPGA Add-On for oneAPI Base Toolkit. See Intel® FPGA Add-On for oneAPI Base Toolkit System Requirements for more information.
- FPGAs do not officially support Red Hat Enterprise Linux (RHEL) 7.4 OS. However, if you want to compile your FPGA designs on RHEL 7.4 OS, see Compiling Intel® oneAPI DPC++ FPGA Designs on Red Hat Enterprise Linux (RHEL)* 7.4 OS.
- Programs using the AC datatypes feature cannot run in the emulation flow on RHEL 7 systems. AC datatypes feature provides support for variable-precision integers and variable-precision floating-point data types. See Variable-Precision Integer and Floating-Point Support section in the Intel® oneAPI DPC++ FPGA Optimization Guide for more information.
- The Ubuntu Server 18.04 with Hardware Enablement (HWE) kernel is not supported and there is no plan to support it for this release.


Developer Tools

  • Supported minimum versions of distributed libraries that the compilers are built on: GCC - 7.3.0, BINUTILS- 2.30, GLIBC-2.27
  • Eclipse* developers: Eclipse 4.20 and 4.21
  • GPU Development:
  • FPGA Development:
  • Development with Intel® oneAPI DPC++ Library:
    • Use of the range-based API requires C++17 and the C++ standard libraries that are included with GCC 8.1 (or higher) or Clang 7 (or higher).
  • A known issue is causing linker errors while using Link Time Optimization(LTO) on RHEL. To resolve the issue make sure the following minimum versions of binutils are installed:
    • RHEL 8: binutils 2.30-82.el8
  • OpenMP development:
    • libffi.so.6(default version on Ubuntu 18.04). Users with newer OS versions will need to specifically install libffi.so.6.

Summary of Intel Integrated Graphics (GPU) Development

  • Supported Linux kernel: 4.11 or higher deployment is required
  • Supported Linux OS: Ubuntu LTS 20.04.3, RHEL 8.x, SUSE 15.x
  • Supported minimum versions of distributed libraries that the compilers are built on: GCC - 7.3.0, BINUTILS- 2.30, GLIBC-2.27
  • Latest Intel® GPU drivers from General Purpose GPU Drivers for Linux* Operating Systems.
  • User should be on the "video" group to have access to hardware. Use the command below to add:
    $ usermod -a -G video $USER

Windows*

Operating Systems

CPU Hosts/Targets GPU FPGA
  • Windows* 10 (64 bit)
  • Microsoft Windows Server* 2022, 2019, 2016

Windows 10 (64 bit)

 

  • Windows 10 (64 bit) 
  • Microsoft Windows Server* 2016 & 2019

NOTE: For hardware compiles on FPGA, you must use Intel® FPGA Add-On for oneAPI Base Toolkit. Refer to Intel® FPGA Add-On for oneAPI Base Toolkit System Requirements for more information.

Developer Tools

Microsoft Visual Studio 2017 integration is deprecated starting in 2022.0 release and will be removed in a future release.

Other Developer Tools

Visual Studio Code* (VS Code) Extensions for Intel® oneAPI Toolkits

The VS Code extensions for oneAPI Toolkits provide assistance to developers who are creating, debugging, and profiling oneAPI applications. The Using Visual Studio Code with Intel® oneAPI Toolkits User Guide provides additional detail.

The following VS Code extensions are available in the VS Code marketplace:

  • Sample Browser for Intel® oneAPI Toolkits
  • Environment Configurator for Intel ® oneAPI Toolkits
  • Analysis Configurator for Intel® oneAPI Toolkits
  • GDB GPU Support for Intel® oneAPI Toolkits
  • DevCloud Connector for Intel® oneAPI Toolkits

See also:

Deprecation Notices

  • Microsoft Visual Studio 2017 integration is deprecated starting in 2022.0 release and will be removed in a future release.
  • These operating systems are deprecated in the Intel oneAPI 2022.1 release, and will be removed in a future release:
    • Windows Server 2016*
    • Ubuntu* 18.04 LTS
    • CentOS* 7
    • Fedora* 34

Previous oneAPI Releases

Notices and Disclaimers

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Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.