oneAPI Implementations

oneAPI delivers a common developer experience across diverse architectures (CPU, GPU, FPGA and accelerators) for faster application performance, more productivity, and greater innovation.

Huawei Extends DPC++ with Support for its Ascend AI Chipset

Software developers now have a tool for running heterogeneous hardware to maximize computing power for a range of workloads across all devices – thanks to the oneAPI specification. To achieve advanced computing capabilities, they’re replacing coding obstacles with a single, open-source programming model for CPUs, GPUs, FPGAs, and more.

Learn More    

Intel, Heidelberg University team to bring Radeon GPU Support to AI

The new collaboration puts teeth into Intel’s promises of hardware-agnostic AI.

Learn More    

Intel, Argonne National Lab co-design XeHP GPUs, oneAPI in Exascale HPC chase

Intel and Argonne National Laboratory said they will co-design and validate exascale-class applications using the chipmaker’s GPUs, microarchitecture and developer tools.

Learn More    

Codeplay’s DPC++ Implementation Supports SYCL and other Languages for NVIDIA GPUs

The National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), in collaboration with the Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory, has signed a contract with Codeplay Software to enhance the LLVM SYCL™ GPU compiler capabilities for NVIDIA® A100 GPUs.

Learn More    

The oneAPI open-standards based industry initiative and the associated Intel® oneAPI Toolkits and products, help to provide a unified approach to mixed-architecture offload computing. Its approach also ensures interoperability with existing distributed computing standards.