The advent of exascale computing presents significant opportunities for advancing computational chemistry, particularly in the accurate modeling of molecular systems. This session explores the integration...
Video • Apr 18, 2025
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....
Video • Aug 22, 2021Arhat 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...
Video • Aug 22, 2021The 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...
Video • Aug 22, 2021We 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,...
Video • Aug 22, 2021For 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...
Video • Aug 22, 2021Hear 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...
Video • Aug 10, 2021