Calling all developers: Join a worldwide open source developer network as we come together during the month of October for a fun-filled 31 days of “Hack or Treat!”

Using a simple computational operation (incrementing values in an array), we evaluate the launch latency of SYCL kernels, OpenMP parallel regions and target regions at various array sizes. We evaluate these kernels on an Intel i5-6500, and its integrated HD Graphics 530 GPU, as well as an i9-10920X together with a Iris Xe MAX GPU in Intel DevCloud.

I worked on the promotion and published an article about GNA and intel NUC on the largest linux portal in Latin America that has 4,304 users.

We are developing academic research in order to predict the Brazilian stock market using sentiment analysis applied to both social media and news. Our research is currently under development and our results so far are presented in the following papers. de Oliveira Carosia, A. E., Coelho, G. P., & da Silva, A. E. A. (2021). Investment strategies applied to the Brazilian stock market: A methodology based on sentiment analysis with deep learning. Expert Systems with Applications, 184, 115470...

Intel Xe features

We are very excited about the upcoming launch of Intel® Arc™. As we ramp to this next stage for gaming on Intel® hardware, we invite you to join us at Intel® Insider Community Discord and apply to be an Intel ® Arc™ Innovator.

Using Blender with Intel Xe

Getting started with Blender Shader in Intel Xe

Arhat is a cross-platform framework designed for efficient deployment of deep learning inference workflows in the cloud and at the edge. Arhat translates neural network descriptions directly into lean standalone executable code. Arhat provides interoperability with Intel deep learning software including oneDNN library and OpenVINO toolkit. In this article we discuss design and architecture of Arhat and demonstrate its use for deployment of object detection models for embedded applications.