Using the Intel-optimized oneAPI, accelerate your data processing and machine learning workflow. Analytics Toolkit for AI
Describe oneAPI.
Different hardware designs exist, including CPU, GPU, FPGA, and AI accelerators, among others. It is difficult to execute code designed for one architecture on another. For instance, without some modifications, CPU-written code won't work on GPU. This is one of the issues writers run into when attempting to transition their code from the CPU to the GPU. (or FPGAs or AI accelerators).
To address this exact issue, Intel developed oneAPI, a unified programming paradigm. With oneAPI, the same code operates on all hardware architectures without any changes and also offers performance advantages, regardless of the hardware architectures (CPU, GPU, FGPA, or accelerators), libraries, languages, or frameworks you use.
OneAPI is a cross-industry, open, standards-based unified programming model that offers a shared developer experience across accelerator architectures -- for quicker application performance, more productivity, and greater innovation.the oneAPI.
About seven oneAPI toolkits are offered by Intel. The toolkit can be chosen depending on your requirements. I wanted to test out the Intel® oneAPI AI Analytics Toolkit because I work as a data analyst. We'll primarily discuss the oneAPI AI Analytics toolkit in this essay.
