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2024 09 30 Updates
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scottstraughan authored Oct 2, 2024
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---
contributor: scott
date: '2024-09-30T12:00:00'
starts: '2024-09-24T09:00:00+0500'
ends: '2024-09-24T17:00:00+0500'
title: 'Training Session: Introduction to Quantum Computing & Simulators on MeluXina'
external_url: 'https://www.luxprovide.lu/event/training-session-introduction-to-quantum-computing-simulators-on-meluxina/'
location: 'Digital Learning Hub Luxembourg'
---

Immerse yourself with captivating expert-led sessions and interactive hands-on demonstrations.
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---
contributor: scott
date: '2024-09-30T12:11:00'
starts: '2024-10-10T09:30:00+0200'
ends: '2024-10-10T11:30:00+0200'
title: 'Heterogeneous computing with SYCL and oneAPI on CINECA’s Leonardo'
external_url: 'https://epicure-hpc.eu/2024/09/25/heterogeneous-computing-with-sycl-and-oneapi-on-cinecas-leonardo/'
location: 'Online'
---

In this webinar attendees will learn the fundamentals of the SYCL programming model, exploring its key concepts and
capabilities, and how to leverage oneAPI tools to bridge SYCL code with proprietary programming models such as CUDA and
HIP, and deploy on a variety of hardware platforms.

The webinar also features a detailed example of a successful CUDA to SYCL migration, showcasing the practical steps and
benefits of this approach. With ample time for questions and discussion, attendees will leave with a solid understanding
of SYCL and the confidence to apply it to their own HPC projects.

Finally, the webinar also introduces developers to the SYCL oneAPI Hackaton at CINECA, a three-stage event (this
webinar, an online learning course, and a final on-site Hackaton) where attendees will learn how to effectively write
efficient heterogeneous SYCL code, and how to use oneAPI tools to deploy it on CINECA’s Leonardo, a Tier-0 EuroHPC
supercomputer ranked #7 on the Top500 list of the world’s most powerful supercomputers.
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---
contributor: scott
date: '2024-09-30T12:11:00'
starts: '2024-09-23T08:45:00+0200'
ends: '2024-09-25T12:40:00+0200'
title: 'Introduction to oneAPI, SYCL2020 and OpenMP offloading'
external_url: 'https://oneapi.io/events/oneapi-devsummit-hosted-by-uxl-foundation/'
location: 'Online'
---

Most current HPC systems are heterogeneous and use accelerators. oneAPI is a standardized and portable programming model
adapted to heterogeneous computing. In this course we will provide an introduction to Intel's oneAPI implementation,
which supports two portable methods of heterogeneous computing: Data Parallel C++ (DPC) with SYCL and OpenMP for C, C++,
and Fortran. Both are portable on any Intel CPU and Intel based accelerator, but also other GPUs. The course will give
an introduction in these two programming methods, Intel's libraries like oneMKL and tools for performance analysis,
profiling, and debugging. Further an introduction to Intel's DPC compatibility Tool to facilitate code migration from
CUDA to SYCL and to Intel's MPI implementation support with GPU awareness completes the program.
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---
contributor: scott
date: '2024-09-25T09:43:10'
title: 'miniLB: A Performance Portability Study of Lattice-Boltzmann Simulations'
external_url: 'https://www.arxiv.org/abs/2409.16781'
authors:
- Luigi Crisci,
- Biagio Cosenza
- Giorgio Amati
- Matteo Turisini
tags:
- sycl
- lbm
- cfd
- fluid-dynamics
- portability
---

The Lattice Boltzmann Method (LBM) is a computational technique of Computational Fluid Dynamics (CFD) that has gained
popularity due to its high parallelism and ability to handle complex geometries with minimal effort. Although LBM
frameworks are increasingly important in various industries and research fields, their complexity makes them difficult
to modify and can lead to suboptimal performance. This paper presents miniLB, the first, to the best of our knowledge,
SYCL-based LBM this http URL addresses the need for a performance-portable LBM proxy app capable of abstracting complex
fluid dynamics simulations across heterogeneous computing systems. We analyze SYCL semantics for performance portability
and evaluate miniLB on multiple GPU architectures using various SYCL implementations. Our results, compared against a
manually-tuned FORTRAN version, demonstrate effectiveness of miniLB in assessing LBM performance across diverse
hardware, offering valuable insights for optimizing large-scale LBM frameworks in modern computing environments.
20 changes: 20 additions & 0 deletions content/videos/2024/2022-05-27-bringing-hip-to-one-api.md
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---
contributor: scott
date: '2024-05-27T00:00:00'
title: 'Bringing HIP to oneAPI'
external_url: 'https://www.intel.com/content/www/us/en/developer/videos/hip-on-aurora.html'
image: ../../../static/images/videos/2022-05-27-bringing-hip-to-one-api.webp
type: presentation
tags:
- hip
- aurora
- hpc
- oneapi
featuring:
- name: Brice Videau
affiliation_at_video_production_time: Argonne National Laboratory
---

Derived from the University of Finland’s HIPCL, the new heterogeneous interface for portability (HIP) back end,
CHIP-SPV, can target Intel® GPUs through Level Zero or OpenCL™ Runtimes. Learn how HIP is implemented on Intel GPUs and
why it is important to increase the portability of the application.
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---
contributor: scott
date: '2024-09-12T12:11:00'
title: 'oneDPL: Multiarchitecture Parallel C++ Programming with oneAPI | Intel Software'
external_url: 'https://www.youtube.com/watch?v=SsXNONmiSJY'
type: presentation
tags:
- oneapi
- intel
- onedpl
- library
featuring:
- name: Nakita Shiledarbaxi
affiliation_at_video_production_time: Intel Corporation
---

The Intel® Developer Zone encourages and supports software developers developing applications for Intel hardware and
software products. The Intel Software YouTube channel is a place to learn tips and tricks, get the latest news, and
watch product demos from Intel and our many partners across multiple fields. You'll find videos covering the topics
listed below, and to learn more, you can follow the links provided!

oneDPL, a part of the Intel® oneAPI Base Toolkit, is a flexible and optimized library for adding cross-platform
parallelism to your C++ applications for accelerated heterogeneous computing across the latest hardware from diverse
vendors. It lets you leverage the parallel programming capabilities of the SYCL framework, enhancing the performance of
C++ workloads. Its latest feature also grants developers a freedom to choose from the available compute resources for
executing their workloads, based on some pre-defined device selection policies provided by the library.

With oneDPL, you can achieve remarkable performance improvements and acceleration in complex computations in real-world
applications such as financial modeling, scientific projects, real-time systems, web and cloud-based services, and much
more.

This video will give you an overview of oneDPL and its component APIs and how C++ developers can benefit from the
multiarchitecture, vendor-independent, accelerated parallel computing capabilities that the library adds to their C++
applications.
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