[Feb 7 Webinar] Programming Python Beyond the CPU

Achieve high-performance gains on data parallel devices like GPUs.

[Time zone converter] [Available On-Demand on Thursday, February 8] Learn how to offload Python data and workloads to GPUs and other accelerators with minimal code effort using Data Parallel Extensions for Python, which extend numerical Python capabilities beyond CPUs. You'll learn how to: Use the Extensions for open-source heterogeneous computing and compilation Easily write SYCL kernels in Python Use JIT compilation in Python on any SYCL device for near-native performance Achieve data interoperability and scale via powerful drop-in replacements for NumPy and Numba Includes demonstrations showcasing the Extensions in action, including the speedups. Skill level: Intermediate Register now Featured software Download Data Parallel Extensions for Python [GitHub] Session demos will be done in the Intel® Developer Cloud. If you don't have an account, get an introductory one for free here Featured software Pairwise Distance: Open-Source XPU Programming with Data Parallel Extensions for Python See all code samples View in browser.

                                                           

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Exclusive Invite: Harness amazing performance from Python* with oneAPI.

Accelerate with hardware-tuned, oneAPI libraries.

Speed Up Python* with Pandas, NumPy*, and PyTorch* February 20, 2024, from 9:00am to 11:00am PT. Register Now [Time zone converter] Unleash blazing performance with Intel® Distribution for Python* and oneAPI. Learn coding techniques using NumPy*, PyTorch*, and Pandas that can make optimal use of the latest Intel® hardware. Take advantage of new hardware capabilities and overcome Python performance constraints in this hands-on workshop that lets you experience the responsiveness of Intel® Developer Cloud. Key takeaways: Replace Python loops with NumPy and PyTorch constructs that offer better readability, easy maintenance, and strong performance. Understand the ways in which Intel® oneAPI Analytics Toolkit energizes NumPy and PyTorch coding. Learn future-proofing methods to prepare for the coming generations of Intel platforms. This workshop equips developers with the knowledge and insights to gain mastery of Python acceleration techniques and use oneAPI effectively to enhance coding efforts. Elevate your skills to a professional level and tap into the latest technology sweet spot. Register now View in browser.

                                                           

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[Coming Jan 31] Learn SYCL in 60 Minutes or Less

Get the nuts and bolts to start coding for multiarchitecture platforms.

[Time zone converter] [Available On-Demand on Thursday, February 1] By the end of this session, you'll be up and running using C++ with SYCL, so you can code for multiarchitecture platforms—CPUs, GPUs, built-in AI accelerators, NPUs—using a single programming language. Key takeaways: Learn the nuts and bolts of the SYCL framework and language Write a useful program in SYCL, then run it on the latest Intel processor-based platforms with built-in acceleration engines Have access, through Intel® Developer Cloud, to write more SYCL programs on the latest Intel hardware Prerequisite [recommended]: Attendees should do Fast SYCL Learning Prep, which takes 2-3 minutes. Skill level: All Register now Featured software This session will use the Intel Developer Cloud. If you don't have an account, get an introductory one for free here Download code samples GPU optimization with SYCL CUDA to SYCL migration See all code samples View in browser.

                                                           

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