Out today is a new release of Intel’s open-source oneDNN library used as a deep neural network library for assembling deep learning applications.

Among Intel’s many open-source software accomplishments for 2020 was introducing OSPray Studio as part of oneAPI. OSPray Studio builds atop the existing OSPray ray-tracing engine and inter-connected oneAPI Rendering Toolkit components to offer an open-source scene graph application for interactive visualizations and ray-tracing based rendering.

The number of CPUs in a server is growing, and so is the number of vendors that make those processors.

Today, The Khronos® Group, an open consortium of industry-leading companies creating advanced interoperability standards, announces the ratification and public release of the SYCL™ 2020 final specification—the open standard for single source C++ parallel programming.

SYCL is an open industry standard for programming a heterogeneous system. The design of SYCL allows standard C++ source code to be written such that it can run on either an heterogeneous device or on the host.

In the series discussions, we’ll highlight achievements in optimizing code to run on GPUs and provide developers with lessons learned to help them overcome any initial hurdles.

This first episode focuses on preparing an earthquake risk assessment application for exascale computing and features Houjun Tang of Lawrence Berkeley National Laboratory and Brian Homerding of the Argonne Leadership Computing Facility (ALCF).

The modern deep learning models are growing at an exponential rate, and those latest models could grow their parameters from million to billions. To train those modern models within hours, distributed training is a better option for those big models.

The Academy of Motion Picture Arts and Sciences has awarded a Scientific and Technical Achievement award to Intel’s Embree ray tracing library, in recognition of its role as a contributing innovation in the moviemaking process.

Intel and Facebook previously collaborated to enable BF16, a first-class data type in PyTorch. It supports basic math and tensor operations and adds CPU optimization with multi-threading, vectorization, and neural network kernels from oneAPI Deep Neural Network Library (oneDNN, formerly known as MKL-DNN).

Intel oneAPI is a massive collection of very high quality developer tools, and, it’s free to use! OneAPI is Intel’s new developer ecosystem. This is something that Intel has been working on for a few years and it went “gold” with release 1.0 at the end of 2020.