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.

Massive Image Dataset Blending Using SYCL with Intel® Data Center GPU Max Series

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INESC-ID Achieves 9x Acceleration for Epistasis Disease Detection using oneAPI Tools and Intel Hardware

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The ATLAS Experiment Implements Heterogeneous Particle Reconstruction with Intel® oneAPI Tools

Using Intel® oneAPI tools, the ATLAS Experiment at the Large Hadron Collider is on track to achieve many-fold performance improvements using multi-architecture CPU+GPU systems in processing future data from the detector.

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Accelerating Healthcare Diagnostics with Intel oneAPI and AI Tools

Using AI to speed diagnostics for individuals or larger populations involves complex computing models that benefit from accelerated computing systems built on a mix of CPUs, GPUs, and other specialty processors. Over the past two years since the onset of COVID-19, several healthcare organizations and technology providers have found that Intel oneAPI and AI tools efficiently accelerate applications requiring high-performance, multiarchitecture computing.

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Accelerate Scientific Rendering and reduce Data Storage constraints.

“Our ability to exploit cutting edge AI and machine learning technologies allows us to readily meet the fast-growing demands of big data and scientific visualization applications.” Kwan-Liu Ma (PI) – Professor, Computer Science Director, UC Davis Center for Visualization Head, VIDI Labs Faculty of GGCS, GGE, and ECEGP.

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Dive achieves 1.5X speedup in Vectorization with latest Intel CPU and oneAPI Software – founded on the unified, open, standards-based oneAPI programming model.

Dive Optimized Its Fluid Solver for 4th Gen Intel® Xeon® Scalable Processors with Intel® AVX-512 using Intel® VTune™ Profiler

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Chasing Exascale

TACC’s Frontera Supercomputer uses oneAPI multiarchitecture programming to accelerate scientific advancements.

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Argonne National Lab – Porting Simulation, Data-Intensive, and AI Applications to the Aurora Exascale System

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DP, Alibaba Cloud, and Intel: A Winning Solution to Maximize Computation Performance

DP needed to run LAMMPS workloads, which are particularly challenging due to their inherent complex simulations and changing dynamics. Using the combination of Alibaba’s E-HPC Cloud Service and Intel® hardware and oneAPI software, DP Technology achieved about 45.2% performance improvement.

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