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Converging Workflows Pushing Converged Software onto HPC Platforms

Are we witnessing the convergence of HPC, big data analytics, and AI? Once, these were separate domains, each with its own system architecture and software stack, but the data deluge is driving their convergence. Traditional big science HPC is looking more like big data analytics and AI, while analytics and AI are taking on the flavor of HPC.

Podcast: Accelerating AI Inference with Intel Deep Learning Boost

In this Chip Chat podcast, Jason Kennedy from Intel describes how Intel Deep Learning Boost works as an embedded AI accelerator in the CPU designed to speed deep learning inference workloads. “The key to Intel DL Boost – and its performance kick – is augmentation of the existing Intel Advanced Vector Extensions 512 (Intel AVX-512) instruction set. This innovation significantly accelerates inference performance for deep learning workloads optimized to use vector neural network instructions (VNNI). Image classification, language translation, object detection, and speech recognition are just a few examples of workloads that can benefit.”

Video: New Cascade Lake Xeons to Speed Ai with Intel Deep Learning Boost

This week at the Data-Centric Innovation Summit, Intel laid out their near-term Xeon roadmap and plans to augment their AVX-512 instruction set to boost machine learning performance. “This dramatic performance improvement and efficiency – up to twice as fast as the current generation – is delivered by using a single instruction to handle INT8 convolutions for deep learning inference workloads which required three separate AVX-512 instructions in previous generation processors.”