About this software
Intel oneAPI Base Toolkit provides compilers, performance libraries, and analysis tools for developing, optimizing, and deploying data-parallel applications across heterogeneous architectures. It includes the DPC++/C++ compiler and a collection of optimized libraries for math, threading, and data analytics, enabling single-source development for Intel CPUs and accelerators.
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Intel oneAPI Toolkit
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€118.48
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Benefits
- Unified programming: Supports DPC++ for single-source development across architectures.
- Performance libraries: Includes optimized math and threading libraries for compute workloads.
- Compilers and tools: Provides DPC++ and C++ compilers plus analysis tools.
- Cross-platform support: Targets Intel CPUs and accelerators for heterogeneous workloads.
- Commercial licensing: Available as a commercial license with maintenance options.
Available languages
- English
- Chinese (Simplified)
- Japanese
- Korean
- & more supported languages
Support information
- Documentation access: Extensive manuals and API references are available on Intel's oneAPI documentation site.
- Software updates: Maintenance subscribers receive product updates and fixes during their maintenance period.
- Developer forums: Intel developer forums host discussions, samples, and community support resources.
- Commercial support: Technical support options are available through Intel and authorized partners for licensed customers.
- Training materials: Samples and tutorials available to assist developers onboarding to oneAPI.
Frequently asked questions
What is the Intel oneAPI Toolkit?
A software development toolkit for building and optimizing data-parallel, cross-architecture applications; it combines compilers, libraries, and analysis tools to support heterogeneous hardware targets.
Which programming models and languages does it support?
Supports DPC++ (a SYCL-based C++ extension) for data-parallel programming and interoperates with standard C++ code to target heterogeneous devices.
What performance optimization and debugging tools are provided?
Includes compilers, profilers, performance libraries, and analysis/debugging utilities to identify bottlenecks, tune kernels, and measure application performance across devices.
What hardware and workloads is the toolkit intended for?
Designed for compute-intensive, data-parallel workloads on CPUs and accelerators such as GPUs and FPGAs, including high-performance computing and machine learning tasks.