Videos & Podcasts
Industry Experts Solving Your Challenges
The Great CEED Bake-off: DPC++ Edition
The CEED Bake-off Problems are a collection of benchmarks representing important compute-intensive kernels and solvers relevant to high-order finite and spectral element methods, such as those used in the Nek5000 CFD code. In this talk...
Accelerating Deep Learning with Intel Extension for PyTorch: a MedMNIST Classification Decathlon Example
We showcase how to use Intel Extension for PyTorch (IPEX) for training and inference on the MedMNIST datasets, a collection of 10 MNIST-like open datasets on various medical imaging classification tasks such as pathology images,...
Multi-GPU Programming – Scale-Up and Scale-Out made easy, using the Intel MPI Library
For shared memory programming of GPGPU systems, users either have to manually run their domain decomposition along available GPUs as well as GPU Tiles. Or leverage implicit scaling mechanisms that transparently scale their offload code...
SYCL 2021 Vendor Update
Hear the latest the following SYCL experts: Peter Steffen will cover DPC++ for NVIDIA GPUs and ComputeCpp; Ronan Keryell from Xilinx will speak on Khronos SYCL SPEC; Igor Vorobstov from Intel will cover DPC++ and...
Developer tools to get you started on oneAPI
oneAPI compilers, programming tools, and performance libraries enable application development across XPUs free of the economic and technical challenges of heterogeneous parallelism. The Intel® DevCloud for oneAPI provides a sandbox to develop cross-architecture applications using...
Application optimization with Cache-aware Roofline Model and Intel oneAPI tools
In this tutorial, we will introduce the Cache-aware Roofline Model (CARM) and expose its basic principles when modelling the performance upper-bounds of Intel CPU and GPU devices. We will also showcase CARM implementation in Intel®...