Intel® oneAPI Base Toolkit
Multiarchitecture C++ Developer Tools for Open Accelerated Computing
Heterogeneous Development across CPUs and GPUs
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.
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.
"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 and GPU 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 and GPU 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.
This bundle is for C++ and SYCL developers who want to compile, debug, and use the most popular performance libraries in the Base Kit for Intel CPUs and GPUs. It includes:
- Intel® Distribution for GDB*
- Intel® DPC++ Compatibility Tool
- Intel® oneAPI DPC++/C++ Compiler
- Intel® oneAPI DPC++ Library (oneDPL)
- Intel® oneAPI Math Kernel Library (oneMKL)
- Intel® oneAPI Threading Building Blocks (oneTBB)
Intel® Deep Learning Essentials
Advanced developers can access tools to develop, compile, test, and optimize deep learning frameworks and libraries—such as PyTorch* and TensorFlow*—for Intel CPUs and GPUs.
- Intel® Deep Neural Network Library
- Intel® oneAPI Collective Communications Library (oneCCL)
- Intel oneAPI DPC++/C++ Compiler
- oneDPL
- oneMKL
Note You can download precompiled frameworks for Intel® architectures from AI Tools.
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
Next Steps
Access samples or run your own workloads with the help of tutorials and training.
Documentation & Code Samples
Code Samples
Learn how to access code samples in a tool command line or IDE.
Success Stories
Training
Essentials of SYCL*
Learn the basics of SYCL for heterogeneous computing (CPU and GPU) using live sample code on Intel® Tiber™ AI Cloud.
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*
Operating systems:
- Linux
- Windows
Languages:
- C++ with SYCL
Development environments:
- Windows: Microsoft Visual Studio*
- Linux: Eclipse*
Get Help
Your success is our success. Access these support resources when you need assistance.