Transformer models are the powerful neural networks that have become the standard for delivering advanced performance behind these innovations. But there is a challenge: Training these deep learning models at scale and doing inference on them requires a large amount [See the full post…]

Learn why our customers are moving to immersion cooling, and how it and sustainability are changing data centers in this conversation with Intel Fellows Mohan Kumar, Nishi Ahuja and Senior PE Sandeep Ahuja and host Jake Smith.

For more information, [See the full post…]

Quantum computing technology is becoming more viable, which means programming models are going to have to be created to harness this potentially world changing technology. To many developers, understanding the possibilities of quantum computing and moving from a binary world [See the full post…]

AI is the new hot thing in business. Everyone wants to talk about how they are harnessing AI to make their business better. However this is not a trivial process, and maybe companies are left wondering what went wrong. Aible [See the full post…]

The accelerator landscape has been rapidly changing over the past decade, and as super computers come online, they face the challenge of supporting the latest and greatest accelerators. Through use of C++. Kokkos and SYCL, the engineers working on the [See the full post…]

ChatGPT, DALL-E, Stable Diffusion and other generative AI have rapidly captivated the public. They provide new, easy ways, to create new content based on AI models that have been trained on large, public data sets. How does this technology work? [See the full post…]

One of the greatest challenges to using AI/ML in industry is reducing your time to solution so that your data scientist and engineers have a chance to iterate. Setting up a machine learning pipeline from scratch can be a complexity [See the full post…]

As AI continues to play an ever-increasing role in applications and decision-making, the challenges facing developers of these AI workloads continue to expand higher and higher. Through this talk, gain a deeper understanding of the current landscape and challenges facing [See the full post…]

Intel, HPE, and Argonne National Lab are collaborating closely to deliver Aurora. Built on Intel’s architecture, Aurora will be Argonne’s first Exascale, high performance computing system. Its performance is expected to exceed exaflops, which is 2 billion billion calculations per [See the full post…]

Novan Parmonangan Simanjuntak, Head of Machine Learning and Artificial Intelligence Strategy at GLAIR joins host Jake Smith to discuss how GLAIR worked with Intel to optimize deep learning and inference for their computer vision solution. Novan talks about how the [See the full post…]

Ever since its introduction in 2014, SYCL has grown in popularity and adoption. It is a royalty-free, cross-platform abstraction layer that enables code for heterogeneous processors, written in a “single-source” style using C++ standards.

The flexibility to deploy across multiple [See the full post…]

Intel has long been at the forefront of radical innovations that have revolutionized the way we live and work – beginning with the development of the first microprocessor, transforming the world as we knew it by making a new era [See the full post…]

Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and [See the full post…]

Adoption of Python has been enormous over the last decade. Why? It’s easy to use, accessible, versatile and can be used for AI, machine learning, data analytics, data visualization, and all types of science. Tune into how 3 experts are [See the full post…]

Ginkgo is a production-ready, sparse linear algebra library used for HPC on GPU architectures. It’s now using oneAPI cross-architecture programming to support its foundational design with a high level of performance portability, and focus on software sustainability. ExpertsHartwig Anzt at [See the full post…]

Heterogeneous programming is challenging for developers because it’s been difficult to code or forces compromises in performance. oneAPI is working to break that mold. Many HPC research centers, enterprises and developers are now adopting oneAPI. Hear from experts at Zuse [See the full post…]

New innovations can quickly become IT sweethearts, but what’s best for the business remains the overriding factor for deployment. The emergence of cloud native was born from developers needing to flexibly deploy resources and reconfigure them as needed. “That’s why [See the full post…]

The next generation of scientists and coders need more than a love of science and technology. The use of supercomputers in digital design to simulation pose opportunities solving the world’s biggest questions. Katherine Riley, director of science for Argonne’s Leadership [See the full post…]

Rapid iteration that has become essential to technology innovation is something well defined in the Manifesto for Agile Software Development.

We are uncovering better ways of developing software by doing it and helping others do it. Through this work we [See the full post…]

Dr. Tom Deakin, senior research associate and lecturer in the High-Performance Computing Research Group at the University of Bristol, and Dr. James Brodman, software engineer at Intel, unpack the tricky topic of performance portability to reveal what this concept truly [See the full post…]

In Part I of two episodes about GROMACS, one of the world’s most widely used open source molecular dynamics (MD) applications, Erik Lindahl, Biophysics Professor at Stockholm University & KTH Royal Institute of Technology, and Roland Schulz, Parallel Software Engineer [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Andy Rudoff, Senior Principal Engineer at Intel, talks with host Allyson Klein about Intel Optane Persistent Memory (PMem) and the work done with software vendors to harness the power [See the full post…]

Existing math kernel libraries have lacked portability across heterogeneous platforms—until now. A unifying programming model—and availability of standard library interfaces—enables development of performance-portable libraries among diverse hardware architectures. In this episode, Julia Sukharina, Senior Engineering Manager at Intel, and Mehdi [See the full post…]

In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video [See the full post…]

In this episode of Code Together, we talk to Alice Chan, Vice President and General Manager of Compiler Engineering at Intel, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National Lab, about how the industry [See the full post…]