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Об инструментариях Intel® oneAPI (бета-версия)
Используемые фильтры
Strengthen System Reliability with Intel® System Bring-up Toolkit
Last Updated: 02/09/2021
Accelerate system bring-up and optimization to get from presilicon to production faster.
Intel® oneAPI DL Framework Developer Toolkit
Last Updated: 02/09/2021
Create your own or customize an existing machine learning framework with this foundational set of tools.
Intel® MPI Library
Last Updated: 02/09/2021
Included as part of the Intel® oneAPI HPC Toolkit, use this for complex HPC applications based on Intel® processors.
Intel® Integrated Performance Primitives
Last Updated: 02/09/2021
With royalty-free APIs, this library includes ready-to-use functions highly optimized for diverse Intel® architectures.
Intel® Distribution for Python
Last Updated: 02/09/2021
Develop fast, Python code with essential computational packages including NumPy, SciPy, scikit-learn*, and more.
Deliver High-Performance AI Apps with Intel® AI Analytics Toolkit
Last Updated: 02/09/2021
Accelerate AI pipelines by training deep neural networks, integrating trained models for inference, and running functions for data science and analyti
Intel® Collaboration Suite for WebRTC
Last Updated: 01/25/2021
This open standard distribution supports real-time communication without additional clients or plug-ins.
Intel® CPU Runtime for OpenCL™ Applications
Last Updated: 01/25/2021
Run OpenCL™ applications and kernels directly on Intel® processors as target OpenCL devices.
Advanced HPC Threading: Intel® oneAPI Threading Building Blocks
Last Updated: 01/25/2021
Simplify efforts to add parallelism to an application via a flexible runtime library that automatically maps logical parallelism onto threads.
Intel® Fortran Compiler
Last Updated: 01/25/2021
Build applications that can scale for the future with optimized code designed for Intel® architecture.
Intel® oneAPI DPC++ Library - APIs for Heterogeneous Computing
Last Updated: 01/25/2021
Speed performance of Data Parallel C++ kernels on CPUs, GPUs, and FPGAs with this standards-based library.
Data Parallel C++ for Cross-Architecture Applications
Last Updated: 01/25/2021
Reuse code across hardware targets (CPUs, GPUs, and FPGAs) with this open, standards-based C++ and SYCL alternative to proprietary compiler languages.