Hands-On Workshop: Learn About oneAPI AI Analytics Toolkit
Machine learning developers often maintain separate code bases, multiple programming languages, and different tools and workflows for various compute accelerator architecture. So for the same set of ML models, developers often have to manage and write codes compatible with specific CPUs, GPUs, or FPGAs. This is highly cumbersome, inefficient, often leads to hardware lock-in and makes it difficult for developers to reuse code. When Intel® released the oneAPI Gold version in December 2020, with a goal to provide an open, standards-based programming model that enables developers to choose which accelerator to run their software. It addresses one of the biggest challenges developers face today – an ML model developed to run on a CPU has to be reframed/ rewritten to be executed on GPU or FPGA. This is a revolutionary framework, something which all data scientists can take advantage of. To bring more understanding of oneAPI to the ecosystem, Analytics India Magazine has collaborated with Intel® to organise a hands-on virtual workshop on oneAPI AI Analytics Toolkit on June 17, 2021. In this workshop, you will be able to learn how to maximise the performance of heterogeneous computing using Intel® optimised deep learning frameworks along with optimised machine learning algorithms and libraries that are part of oneAPI toolkits. Register For The Virtual Workshop Here. What You Will Learn: Introduction to oneAPI AI Analytics Toolkit & its components.How to maximise deep learning performance using Intel® optimised frameworks.How to maximise machine learning performance using oneAPI Data Analytics Library Intel® Distribution for Python.Hands-on exercises using AI analytics toolkit and its components. Who Should Attend? AI & ML developersData scientistsAI enthusiastsAI researchersGPU & HPC programmers Register For The Virtual Workshop Here. #oneAPI Workshop ContestAnalytics India Magazine is also hosting an exciting contest, exclusively for the participants, as a part of the workshop. Up to 5 winners will each receive an Amazon Echo Show 5.To know more about the contest rules & regulations, click here. Session Speakers: Kavita Aroor — Kavita Aroor, is a Developer Marketing Manager- APJ at Intel, focuses on developing the software solutions market across the Asia Pacific. She drives the developer outreach, engagements and programs in the areas of GPU, HPC and AI. With 17 years of experience in brand and field marketing, Kavita has driven numerous customer and user engagement across the Asia Pacific. Lakshmi Narasimhan — Lakshmi Narasimhan is a Technical Consultant Lead at Intel, with 19+ years of multi-faceted management and customer enabling/consulting experience in the semiconductor industry. In Intel, he leads the consulting team for the developer products support and consulting division within the Intel Software group. Narasimhan has also led several organisations across Client, IoT and Software. Jing Xu — Jing Xu is a Senior Technical Consulting Engineer working as an AI specialist in a developer products support and consulting organisation within the Intel Software group. He has enabled global developers, enterprise users, engineers and researchers to use Intel software tools and high-performance libraries. His research areas include machine learning, deep learning, performance optimisation and data analysis R&D. Aditya Sirvaiya — Aditya Sirvaiya is an AI Technical Consulting Engineer in Developer Products support & consulting organisation within Intel Software group. Aditya holds a bachelor’s degree in Engineering Physics from the Indian Institute of Technology, Delhi and a Master’s degree in Computer Science with AI specialisation from the Indian Institute of Technology, Mumbai. Details Of The Workshop: Date: 17th June 2021 Time: 9:30 AM to 12:30 PM (IST) Mode: Online REGISTER NOW!
Get a hands-on understanding of using the Intel oneAPI AI Analytics toolkit to maximise the performance of heterogeneous computing with this free workshop.
Get a hands-on understanding of using the Intel oneAPI AI Analytics toolkit to maximise the performance of heterogeneous computing.
["Intel", "oneAPI"]
["Go", "API", "machine learning", "AI", "ML", "Python", "deep learning", "analytics", "GAN", "R", "oneAPI", "Intel"]
["AI", "machine learning", "ML", "deep learning", "analytics", "Python", "R", "Go", "API", "GAN"]
Sejuti currently works as Associate Editor at Analytics India Magazine (AIM). Reach out at sejuti.das@analyticsindiamag.com