C-DAC Achieves 1.75x Performance Improvement on Seismic Code Migration from CUDA on Nvidia A100 to SYCL on Intel® Data Center GPU Max Series
INESC-ID Achieves 9x Acceleration for Epistasis Disease Detection using oneAPI Tools and Intel Hardware
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.
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.
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.
Chasing Exascale
TACC’s Frontera Supercomputer uses oneAPI multiarchitecture programming to accelerate scientific advancements.
