Intel® DPC++ Compatibility Tool
Intel® oneAPI DPC++ Library
This library is a companion to the Intel® oneAPI DPC++/C++ Compiler and provides an alternative for C++ developers who create heterogeneous applications and solutions. Its APIs are based on familiar standards-C++ STL, Parallel STL (PSTL), Boost.Compute, and SYCL*-to maximize productivity and performance across CPUs, GPUs, and FPGAs.
Intel® oneAPI Video Processing Library (oneVPL)
This library provides access to H264/H265 elementary stream decode and frame processing. By using the high level interface of oneVPL, the same code can unlock hardware capabilities for media across CPU and Intel® Processor Graphics GPUs. Get started.
Intel® oneAPI Math Kernel Library(oneMKL)
The oneMKL helps you achieve maximum performance with a math computing library of highly optimized, extensively parallelized routines for CPU and GPU. The library has C and Fortran interfaces for most routines on CPU, and DPC++ interfaces for some routines on both CPU and GPU. Get started.
Intel® oneAPI Threading Building Blocks (oneTBB)
oneTBB is a flexible performance library that simplifies the work of adding parallelism to complex applications, even if you're not a threading expert. Learn more.
Intel® oneAPI Data Analytics Library
Intel® oneAPI Data Analytics Library(
oneDAL) is a library that helps speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation. The current version of oneDAL provides Data Parallel C++ (DPC++) API extensions to the traditional C++ interface. Get started.
Intel® oneAPI Deep Neural Network Library
Intel® oneAPI Deep Neural Network Library(oneDNN) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel® Architecture Processors and Intel
®Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. Get started.
Intel® VTune™ Profiler
Intel® VTune™ Profiler is a performance analysis tool targeted for users developing serial and multithreaded applications. The tool is delivered as a Performance Profiler with Intel Performance Snapshots and supports local and remote target analysis on the Windows* and Linux* platforms. Get started.
Intel® Advisor gives software architects and developers the data and analysis tools they need to build well-threaded and vectorized code that exploits modern hardware capabilities. Get started.
Intel® Distribution for Python*
Develop fast, performant Python code with this set of essential computational packages including NumPy, SciPy, scikit-learn*, and more.
Intel® FPGA Add-on for oneAPI Base Toolkit
Use Reconfigurable Hardware to Accelerate Data-Centric Workloads. Learn more.
Provides details on the oneAPI programming model, including details about Data Parallel C++, programming for various target accelerators, and introductions to the oneAPI libraries.
The oneAPI FPGA Optimization Guide provides guidance on leveraging the functionalities of SYCL to optimize your design.
Provides guidance on how to target and develop your design on an FPGA using the oneAPI programming model. It also provides guidance on how to optimize a design to achieve performance and latency targets for an application targeting the FPGA.
Outlines the procedure for creating an Intel® FPGA Software Development Kit (SDK) for OpenCL™ Pro Edition Custom Platform. The Intel® FPGA SDK for OpenCL™ Pro Edition Custom Platform Toolkit provides the necessary tools for implementing a fully functional Custom Platform.
The oneAPI GPU Optimization Guide demonstrates how to improve the behavior of your software by partitioning it across the host and accelerator to specialize portions of the computation that run best on the accelerator. Specialization includes restructuring and tuning the code to create the best mapping of the application to the hardware. The value of oneAPI is that it allows each of these variations to be expressed in a common language with device-specific variants launched on the appropriate accelerator.