Krystian Ligenza, Autodesk Maya Software Architect, and Mike Voss, Intel Principal Engineer, talk about how the need for immersive experiences in VFX and 3D animated movies and games has driven the need for increasingly more capable (and complex) software and hardware. They discuss how Autodesk and Intel are addressing these challenges, and explain how the companies are collaborating to equip the most iconic animation studios and game developers with the tools needed to deliver ultra-realistic, award-winning entertainment experiences.
Is oneAPI living up to its promise? How do oneAPI and DPC++ relate to the Khronos Group SYCL and ISO C++ standards? Andrew Richards and Hal Finkel respond to these provocative questions and more from Sanjiv Shah, Intel GM and VP of Developer Software Engineering. They share their experiences with oneAPI and DPC++, and talk about oneAPI’s best aspects and what they would like to change about this cross-architecture programming model. Listen in.
Ronan Keryell and Jeff Hammond explain why open collaboration — modeled through open source and open standards — is key to solving some of today’s biggest challenges in research and industry, revealing some of the misconceptions, or least understood aspects, along the way. Then they explore the value of open languages and programming models, diving into ISO C++, Khronos Group SYCL, the amazing SYCL community, and what excites them most about the SYCL 2020 Provisional Specification.
Peter Wang explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together. He and David Liu talk about the latest advancements in hardware and software and how to make them more accessible to developers, as well as how to bridge the multiple layers of abstraction. They also explore collaboration on building a low-power, high-performance data science stack, democratization of data literacy, and the future of Python in this action-packed discussion between two data science experts.
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, we talk about a collaborative project to make this portability possible, and dive into Mehdi’s work to enable the first math library implementation for oneAPI on Nvidia GPUs.
Geoff and Andrew discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video games to modern AI, Andrew weaves an unexpected yet common thread between these, and explore how oneAPI builds on this foundation. Andrew talks about Codeplay’s contributions to oneAPI, focused on enabling development on Nvidia GPUs, while Geoff shares his vision of enabling broad data parallelism and portability across platforms, to provide a glimpse into what’s next for oneAPI.
In this episode of Code Together, we talk about how the industry is uniting to address the need for programming portability and performance across diverse architectures- particularly important with the rise of data-intensive workloads like AI and machine learning. We discuss the shift to modern C++ programming models and how the cross-industry oneAPI initiative and DPC++, bring much-needed portable performance to developers.