Remove code barriers with one programming model for all architectures, and leverage your code base for future hardware innovations.
oneAPI Specification
Expose and exploit all the cutting-edge features to unleash application performance across CPUS, GPUs, FPGAs, and other accelerators.
See What's New
Achieve fast and efficient development with a complete set of cross-architecture libraries and tools that use familiar languages and standards to make heterogeneous development easier.
Explore the Tools & Libraries
oneAPI is an open, unified programming model built on standards to simplify development and deployment of data-centric workloads across CPUs, GPUs, FPGAs and other accelerators.
Extract the most application performance on multiple types of Intel® architecture by using advanced, cross-architecture software development tools from Intel.
The Intel® oneAPI product family includes:
oneAPI Tech Voices, Industry Conversations, Blogs, Webinars, and News
CPUs: Intel® Xeon, Intel® Core™, and Intel Atom® Processors
GPUs: Intel® Processor Graphics (Gen9, Gen11) and Xe Architecture
FPGAs: Intel® Arria® FPGA and Intel® Stratix® FPGA
Intel® Academic Program for oneAPI
Intel connects with universities and students worldwide to evolve Intel® oneAPI Toolkits and the Data Parallel C++ (DPC++) language through interaction with the academic community.
See the support from a growing, global list of companies, universities, and institutions.
Discover diverse oneAPI projects and join conversations with fellow developers.
Explore hundreds of applications that leverage elements of the Intel oneAPI cross-architecture programming model used by Intel partners, customers, and innovators.
"The future of advanced computing requires heterogeneous hardware to maximize the computing power needed for exascale-class workloads. The oneAPI industry initiative Intel is spearheading will ensure that programming across diverse compute architectures is greatly simplified."
— Rick Stevens, associate laboratory director, Computing, Environment, and Life Sciences, Argonne National Laboratory and professor of computer science, University of Chicago
性能因用途、配置和其他因素而异。请访问 www.Intel.com/PerformanceIndex 了解更多信息。