Intel® oneAPI Base Toolkit

Multiarchitecture C++ Developer Tools for Open Accelerated Computing

  

  

Heterogeneous Development across CPUs, GPUs, and FPGAs

The Intel® oneAPI Base Toolkit (Base Kit) is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures. It features an industry-leading C++ compiler that implements SYCL*, an evolution of C++ for heterogeneous computing.

Domain-specific libraries provide drop-in acceleration across relevant architectures. Enhanced profiling, design assistance, and debug tools complete the kit.

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Download the Toolkit

Get started with this core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

Purchase with Priority Support

Submit questions, problems, and other technical support issues through direct and private interactions with Intel engineers.

Features

Future-Ready Programming Model Provides Freedom of Choice

Apply your skills to the next innovation, not to rewriting software for the next hardware platform.

Top Performance for Accelerated Architectures

Take full advantage of accelerated compute by maximizing performance across Intel CPUs, GPUs, and FPGAs.

Fast and Efficient Development

Use a complete set of cross-architecture libraries and advanced tools.

Easily Migrate Existing CUDA* Code

Port existing CUDA* code to open standard multiarchitecture C++ with SYCL.

"Intel's oneAPI toolkit has demonstrated powerful performance and good compatibility in GeoEast* software applications, and has provided us with important help in the further exploration of heterogeneous computing." – BGP Inc.

What's Included

Intel® oneAPI DPC++/C++ Compiler
Compile and optimize C++ and SYCL code for CPU, GPU, and FPGA target architectures.

 

Intel® DPC++ Compatibility Tool
Migrate legacy CUDA code to open multiarchitecture SYCL code with this assistant.

 

Intel® VTune™ Profiler
Find and optimize performance bottlenecks across CPU, GPU, and FPGA systems.

 

Intel® Advisor
Design code for efficient vectorization, threading, and offloading to accelerators.

 

Intel® Distribution for GDB*
Enable deep, system-wide debug of SYCL, C, C++, and Fortran code.

 

Intel® oneAPI DPC++ Library
Speed up data parallel workloads with these key productivity algorithms and functions.

 

Intel® oneAPI Threading Building Blocks
Simplify parallelism with this advanced threading and memory-management template library.

 

Intel® oneAPI Math Kernel Library
Accelerate math processing routines, including matrix algebra, fast Fourier transforms (FFT), and vector math.

Intel® Integrated Performance Primitives

Speed up performance of imaging, signal processing, data compression, cryptography, and more.

 

Intel® Cryptography Primitives Library
Secure, fast, lightweight building blocks for cryptography optimized for Intel CPUs.

 

Intel® oneAPI Data Analytics Library
Boost machine learning and data analytics performance.

 

Intel® oneAPI Deep Neural Network Library
Develop fast neural networks on Intel CPUs and GPUs with performance-optimized building blocks.

 

Intel® oneAPI Collective Communications Library
Implement optimized communication patterns to distribute deep learning model training across multiple nodes.

 

FPGA Support Package for the Intel® oneAPI DCP++/C++ Compiler (separate download required)
Accelerate your register transfer level (RTL) development with SYCL high-level synthesis (HLS), or program FPGA accelerators to speed up specialized, data-centric workloads. Requires installation of the Base Kit.

 

Get Started

Before You Begin

Get your system ready to install the Base Kit. Check that your system meets the minimum requirements and that you have the necessary hardware that works with the Base Kit.

Download the Base Kit

After downloading, follow the Get Started Guide to configure your system and run your first sample.

Get Started Guide:  Linux* | Windows* | Containers

Download

Next Steps

Access samples or run your own workloads with the help of tutorials and training.

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Training

Essentials of SYCL*

Learn the basics of SYCL for heterogeneous computing (CPU, GPU, and FPGA) using live sample code on Intel® Developer Cloud.

Additional Base Kit Training

Migrate from CUDA to C++ with SYCL

C++ and SYCL deliver a unified programming model, performance portability, and C++ alignment for applications using accelerators. Learn how to migrate your code to SYCL and see examples from other developers.

Specifications

CPUs:
  • Intel® Xeon® processor family
  • Intel® Core™ processor family
  • Other processors compatible with Intel® 64 architecture

 

GPUs:
  • Intel® UHD Graphics for 11th generation Intel processors or newer
  • Intel® Iris® Xe graphics
  • Intel® Arc™ graphics
  • Intel® Server GPU
  • Intel® Data Center GPU Flex Series
  • Intel® Data Center GPU Max Series
  • NVIDIA* or AMD* GPUs using plug-ins from Codeplay*

 

FPGAs:
  • Intel Arria® 10 FPGAs
  • Intel Stratix® 10 FPGAs
  • Intel® Agilex™ FPGAs
  • Intel Cyclone® 10 GX FPGAs

 

Operating systems:
  • Linux
  • Windows
Languages:
  • C++ with SYCL
Development environments:
  • Windows: Microsoft Visual Studio*
  • Linux: Eclipse*
     

For more information, see the system requirements.

 

 

Get Help

Your success is our success. Access these support resources when you need assistance.

 

 

For additional help, see our general oneAPI Support.

 

 

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Product and Performance Information

1

FPGA design requires an additional download of the Intel® FPGA Add-On for oneAPI Base Toolkit. This is offered as an optional download to this toolkit.