Join the Momentum.

The industry initiative is growing with increased use of the oneAPI programming model in Artificial Intelligence, Visual Computing, HPC and other segments. Learn more here.

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Codeplay’s Contribution to oneAPI by supporting SYCL, oneDNN and oneMKL for NVIDIA GPUs

Andrew Richards, founder and CEO of Codeplay and oneAPI industry initiative member, pioneers GPU acceleration technologies. Enabling software developers to…

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Intel to Fund Centers of Excellence and Update oneAPI in 2022

Intel oneAPI helps developers quickly and correctly build performant code with a complete set of cross-architecture libraries and tools for…

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Giving thanks for oneAPI progress

As I look back on this year, I’m amazed at how fast oneAPI has grown globally, reflective of the industry’s…

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Fujitsu and RIKEN Optimized oneDNN for Improved Performance on ARM

Claiming the title of world’s fastest performance for the number of deep learning models trained per time unit for CosmoFlow,…

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TensorFlow and oneDNN in Partnership 

There has been rapid growth in AI and machine learning innovations over the years, and high-compute workloads necessitate constant developments…

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Standard Driven Heterogeneous Programming with oneAPI

Getting the maximum achievable performance out of today’s hardware requires developers to delicately balance the unlocking of their hardware's full…

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Accelerate PyTorch with IPEX and oneDNN

Enjoy Ease of Use and More Efficient Hardware Performance Figure 1. AVX512_BF16 instruction set introduced in 3rd gen Intel Xeon…

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Speed Training 8X Using PyTorch with oneCCL Backend

Train Complex Models in Hours, Not Days, with Distributed Training Fig.1 Software stacks for PyTorch DistributedDataParallel. CCL is one of…

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Developer Story: How We Ported oneDNN to Fugaku with Arm

Fujitsu optimized and ported the oneDNN DL process library software for the Armv8-A instruction set so that it can be…

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