Videos & Podcasts
Industry Experts Solving Your Challenges
Word-Count with MapReduce on FPGA, A DPC++ Example
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...
Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL
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...
Visualization of human-scale blood flow simulation using Intel OSPRay Studio on SuperMUC-NG
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....
Ginkgo – An Open Source Math Library in the oneAPI Ecosytem
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...
HPC changing the paradigm of film animation as Tangent revolutionizes creative story telling
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...
Integrating Arhat deep learning framework with Intel® oneDNN library and OpenVINO™ toolkit
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...