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Sign up today to attend LIVE SESSIONS covering the latest overviews, insights, and how-to’s on topics that drive our cross-architecture, heterogeneous-compute world—oneAPI, AI, HPC, rendering & ray tracing, video & media, IoT, and more.

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Learn Heterogeneous C++ with SYCL

Wednesday, October 12, 2022 | 9:00 AM PDT

Deepen your understanding of heterogeneous C++ programming so you can more effectively create and deploy multi-vendor applications.

 

This year has seen a growing body of C++ with SYCL code to learn from, including the series of “SYCL Sparkler” articles covering performance tunability, low-level FPGA implementations, accelerated encrypted computing, GPU-to-SYCL code migration, and much more.

In this session, heterogeneous programming expert James Reinders uses the Sparkler examples and others to help you expand your C++ programming expertise and become a highly effective heterogeneous programmer who creates portable, multi-vendor applications.

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Skill level: All

Get the featured software
Get Data Parallel C++: the oneAPI implementation of SYCL as part the as part of the Intel® oneAPI Base Toolkit— a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.


 
James Reinders
Software Engineer, Parallel Program Expert & Author, Intel

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Push the Boundaries of Visualization with the Latest Rendering Kit Advances

Wednesday, October 19, 2022 | 9:00 AM PDT

Speed up photo-realistic rendering with Intel® Embree, an open source kernel framework for efficient and professional ray tracing on CPUs.

 

The demand for photo-realistic visualization spans a multitude of applications—AI, data science, industrial science, animation, product design, and tons more.

This session introduces Intel® Embree, a collection of high-performance ray tracing kernels optimized for photo-realistic rendering such as path tracing, global illumination, reflection and refraction, mirrors, materials, lights, and shadows.

You will learn how to:

  • Set up the Cornell Box scene geometry test for Embree
  • Set up different materials and lights, mirrors, reflections, and refractions
  • Use Intel® oneAPI Threading Building Blocks (oneTBB) to parallelize your Embree code
  • Use global illumination to reduce noise

Includes a demo.


Note: To get the most from this session, you should be familiar with rendering coding.


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Skill level: Intermediate to advanced familiarity with rendering coding

Featured software


Resources


 
Roberto Marivela Colmenarejo
Software Technical Marketing Engineer & oneAPI Rendering Toolkit Evangelist, Intel

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Rev Up End-to-End AI Pipelines with Intel-Optimized Python Libraries

Wednesday, October 26, 2022 | 9:00 AM PDT

Get near-native speed from your AI and data science workloads—even in accelerated computing environments—with minimal code changes.

 

Calling all Python developers focused on AI/ML. Achieve highly efficient multithreading, vectorization, and memory management, and scale scientific computations across a cluster using the optimized packages found in Intel® Distribution for Python.

Attend this session to advance your Python coding skills, including developing for accelerated compute with Data Parallel Python technologies.

You will be able to:

  • Achieve drop-in acceleration—end-to-end—for your AI and data science pipelines
  • Seamlessly scale Pandas workflows across multi-node dataframes
  • Increase machine learning model accuracy and performance with Intel-optimized scikit-learn algorithms and XGBoost

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Skill level: Intermediate to advanced

Featured software

This webinar uses familiar Python tools and frameworks available as part of the Intel® AI Analytics Toolkit. Alternatively, you can download standalone versions:


 
Roy Allela
Senior AI Software Engineer, Intel

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Profile TensorFlow Workloads and Uncover Optimization Opportunities

Wednesday, November 2, 2022 | 9:00 AM PDT

If you’re a TensorFlow* developer, this webinar is for you. Learn strategies for identifying and fixing the parts of your compute-intensive AI workloads that cause performance bottlenecks.

 

TensorFlow is among the most popular frameworks used to create machine learning/deep learning applications such as those for image and/or voice recognition, real-time translation, drug discovery, and recommender systems. (Google Ads are powered by TF, btw.)

This session is for TensorFlow developers who dive recurrently (because it’s necessary) into performance analysis—uncovering bottlenecks, threading inefficiencies, scalability issues, and more—to deliver highly performant ML/DL applications.

Join this hour to:

  • Get an introduction to VTune™ Profiler, Intel’s flagship performance analysis tool for applications, systems, and system configurations
  • Learn how to use the tool’s key capabilities to analyze TensorFlow workloads and identify bottlenecks and optimization opportunities
  • See a live demo on how it’s done

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Skill level: Beginner

Featured software

Get Intel® VTune Profiler standalone or as part of the Intel® oneAPI Base Toolkit.


 
Jennifer DiMatteo
Technical Consulting Engineer, Intel

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Scale AI with Optimized, Domain-Specific Reference Kits – Part II

Wednesday, November 9, 2022 | 9:00 AM PST

Learn about the next set of open source AI reference kits, purpose-built to help you overcome the challenges of AI acceleration along the development pipeline.

 

Artificial intelligence continues to transform every aspect of our lives, its technological advancements forcing (errr … compelling) industries and organizations to incorporate and scale AI into their existing infrastructures.

Of course, many cannot do this because it requires powerful hardware (CPUs and GPUs) that have the computational muscle to create and deploy massive models on huge data sets.

Which is where this webinar comes in.

A continuation of the Part I session, this hour unpacks the next set of open source AI reference kits for domain-specific business problems across healthcare, manufacturing, retail, and more. (Each kit has been optimized using Intel® AI tools.)

Key takeaways:

  • Get reacquainted with these kits which are purpose-designed to democratize AI across the open ecosystem
  • Learn about the next set of kits covering use cases including Digital Twin, Disease Prediction, Claims Document Automation , Medical Imaging Diagnostics, and Credit Card Fraud Detection
  • See the kits in action via a demo

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Skill level: All

Featured software

This webinar features key tools from Intel’s comprehensive AI software portfolio of tools and framework optimizations for end-to-end AI workflows:


 
Srinarayan Srikanthan
AI Software Solutions Engineer, Intel

Richard Jiang
Data Science Consultant, Accenture

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Acceleration with Data Parallel Extension for Python

Wednesday, November 16, 2022 | 9:00 AM PST

Learn how to use Python parallel programming for accelerated performance on multiple hardware acceleration devices such as GPUs and FPGAs.

 

Python is among the most popular programming languages used for AI, including training machine learning models and performing numerical simulations via determinantal point processes (DPPs)—probability distributions over clouds of points used to model physics, statistics, and ML.

The Data Parallel extension for Python demonstrates high-performing code targeting Intel® XPUs using Python. The webinar will introduce Numba-dpex (Numba Data-Parallel Extension) and show examples of how to write data-parallel code inside @numba.jit decorated and @kernel decorator functions to offload them to a SYCL device. The talk also covers Data-parallel Control (dpctl) which is a companion library intended to make it easier to write Python native extensions based on SYCL. Numba-dpex is packaged as part of Intel® Distribution for Python*, which is included with the Intel® oneAPI AI Analytics Toolkit. For use cases, we will cover Pairwise Distance and K-Means as examples to demonstrate the CPU and GPU implementation of numba-dpex.

Join software technical engineers Praveen Kundurthy and Bob Chesebrough to learn more.

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Skill level: All

Get the featured software


 
Praveen Kundurthy
Software Technical Marketing Engineer, Intel

Bob Chesebrough
Software Technical Marketing Engineer, Intel

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Intel® oneAPI 2023 Release: Preview the Tools

Wednesday, November 30, 2022 | 9:00 AM PST

The 2023 release of Intel® oneAPI tools will be available soon. Get an advance peek of what’s new, plus engage in a live Q&A with Intel software experts about all things oneAPI.

 

Whether you use a single Intel® oneAPI tool or all 40+ of them, this webinar is for you.

Join parallel programming expert James Reinders and oneAPI product manager Kent Moffat for an inside look at the 2023 release, targeted for a December delivery.

They will share:

  • A brief overview of the oneAPI programming model and standard
  • A summary of new developments, features, and improvements across a select group of optimized tools such as Intel® Distribution for Python, compilers (C, C++, Fortran, SYCL, OpenMP), Intel® MPI Library, TBB, oneMKL, and VTune™ Profiler
  • A live Q&A session that gives participants an open forum for oneAPI-related inquiries and discussions

Sign up today.

Skill level: Beginner

Featured software

Get started with oneAPI by downloading the Intel® oneAPI Base Toolkit—the foundational set of tools and libraries for developing high-performance, data-centric applications across Intel® CPUs, GPUs, and FPGAs.


 
Kent Moffat
Product Marketing Manager, oneAPI Developer Tools, Intel

James Reinders
Software Engineer, Parallel Programming Expert, Author, Intel

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