Скачать или смотреть Next Gen Data Processing Architecture for heterogeneous computing infra - Rajan Goya, DataPelago

Interest in using accelerated computing hardware for data processing has grown rapidly in recent years. As the industry moves quickly to adopt various acceleration options like CPU/SIMD, FPGA, GPU, TPU, XPU, and more — driven by open-source innovations, such as Gluten and Velox — there’s an urgent need to define the next-generation architecture, using a virtualization approach that abstracts the underlying heterogeneous hardware. In this session, DataPelago will share our vision for the future data stack, one that processes all types of data—unstructured, structured, and semi-structured—across any hardware platform, regardless of the vendor. We’ll also explore the need to establish new industry standard benchmark to evaluate capabilities of heterogenous processing elements for data processing and emerging accelerated data processing stack.