Videos & Podcasts

Get Started with the UXL Foundation projects – using and contributing – Rod Burns

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Video cameraVideo • Jul 3, 2025

Industry Experts Solving Your Challenges

Many workloads have inherent data parallelism which can be leveraged to achieve optimal performance. However, it is challenging to design data parallel programs and map them to different hardware targets. Intel’s Data Parallel C++ is...

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Video cameraVideo • Aug 10, 2021

In the age of AI, algorithms must efficiently cope with vast data sets. We propose a performance-portable implementation of Locality-Sensitive Hashing (LSH), an approximate k-nearest neighbors algorithm to speed up classification on heterogeneous hardware. Our...

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Video cameraVideo • Aug 10, 2021

HemeLB is a highly scalable, 3D blood flow solver capable of generating high-resolution simulations of blood flow through human-scale vasculatures. Post-processing such simulations is a significant challenge, particularly due to the volume of data generated....

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Video cameraVideo • Aug 10, 2021

Ginkgo is an open-source math library designed for GPU-accelerated supercomputers. In this talk, we will present the path we took to prepare Ginkgo for Intel GPUs. We will start with reporting our experiences in porting...

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Video cameraVideo • Aug 10, 2021

Jeff Bell, CEO of Tangent Labs, will present a unique Studio Customer story highlighting their evolution of the digital creative workflow, leveraging HPC in the cloud. A company with a strong focus on the creative...

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Video cameraVideo • Aug 10, 2021

Arhat is a specialized deep learning framework that converts neural network descriptions into lean standalone executable code which can be directly deployed on various platforms. Arhat backend for Intel generates C++ code that directly calls...

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Video cameraVideo • Aug 10, 2021
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