AI workloads and data pipelines are rapidly growing in their demand for computing power. Accelerated computing can help maximize our ability to not just run AI models, but also maximize how quickly we can capture and extract useful information from data sources. Until recently, accelerated programming has been focused on proprietary programming models, but this is changing. oneAPI is an open, cross-industry, standards-based, unified, multiarchitecture, multi-vendor programming model that allows you to write code and target all accelerators - GPUs, CPUs and FPGAs. oneAPI is already used to accelerate AI frameworks. With oneAPI it is also possible to write accelerated data processing code to rapidly capture and transform your data. This talk will provide examples of how oneAPI enables performant data processing, how the project is organized and the open governance model. We will also discuss the oneAPI community. You should expect to come away with a sense of what oneAPI is and fresh ideas on what new capabilities it enables.
Speakers: Sriram Ramkrishna