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Hands-On Session – Intel® oneAPI Toolkits for HPC and AI applications
Dive into a hands-on session on “Intel® oneAPI Toolkits for HPC and AI applications” where you will learn & get insights about: Introduction to oneAPI Case study 1 – Porting an HPC application to Intel...
Tiger Analytics, Singapore- use of Intel® oneAPI libraries like oneDNN, oneMKL to optimize the Tiger Demand Forecasting Solution
The Tiger Demand Forecasting Solution helps companies rapidly deploy the AI engine at scale to deliver value by generating accurate forecasts and enable better planning and execution. The solution has been enabled for Consumer Product...
Performance of DPC++ on Representative Structured/Unstructured Mesh Applications
In this session we will give an overview of performance achieved with DPC++ on Intel server CPUs on MG-CFD, an unstructured-mesh CFD mini-app, and OpenSBLI, a structured mesh academic CFD code. We will contrast results...
Performance Portability and Evaluation of Heterogeneous Components of SeiSol Targeted to Upcoming Intel HPC GPUs
We will present our recent results of integrating oneAPI programming model into SeisSol, a software package for simulating seismic waves and earthquake dynamics. During the talk, we are going to demonstrate a set of comparisons...
Enhancing Online Planning on Low-Power CPU-GPU SoCs via Bloom Filter Based Memory
This work proposes a new design for online planning for intelligent agents modelled as POMDPs. We introduce an online planner enhanced with Bloom filter memory which we implement and evaluate on a low-power CPU+GPU SoC....
Using Arhat Framework with Intel® oneDNN Library and OpenVINO™ Toolkit for Object Detection Applications
Arhat is a cross-platform deep learning framework that converts neural network descriptions into lean standalone executable code. This approach provides significant benefits because of a simple and straightforward deployment process. Arhat is integrated with Intel...