Bill Savage from Intel gave this talk at the Intel HPC Developer Conference. “Learn about oneAPI, the new Intel-led industry initiative to deliver a high-performance unified programming model specification spanning CPU, GPU, FPGA, and other specialized architectures. It includes the Data Parallel C++ cross-architecture language, a set of libraries, and a low-level hardware interface. Intel oneAPI Beta products are also available for developers who want to try out the programming model and influence its evolution.”
Intel HPC Devcon Keynote: Exascale for Everyone
December 18, 2019 by
The convergence of HPC and AI is driving a paradigm shift in computing. Learn about Intel’s software-first strategy to further accelerate this convergence and extend the boundaries of HPC as we know it today. oneAPI will ease application development and accelerate innovation in the xPU era. Intel delivers a diverse mix of scalar, vector, spatial, and matrix architectures deployed in a range of silicon platforms (such as CPUs, GPUs, FPGAs), and specialized accelerators—each being unified by an open, industry-standard programming model. The talk concludes with innovations in a new graphics architecture and the capabilities it will bring to the Argonne exascale system in 2021.
Intel’s Kent Moffat describes the exciting new launch of oneAPI
December 4, 2019 by
In this video, Kent Moffat, senior product manager from Intel, describes the oneAPI initiative, an ambitious shift from today’s single-architecture, single-vendor programming models to a unified, simplified programming model for application development across heterogeneous architectures, including CPUs, GPUs, FPGAs and other accelerators.
Video: Leading the Evolution of Compute with Neuromorphic and Quantum Computing
January 18, 2018 by
Jim Held from Intel Labs gave this talk at the Intel HPC Developer Conference in Denver. “Intel recently announced important progress in our research into future novel microarchitectures and device technology: neuromorphic and quantum computing. Loihi, our recently announced neuromorphic research chip, is extremely energy-efficient, uses data to learn and make inferences, gets smarter over time and does not need to be trained in the traditional way. Quantum computing offers the potential for exponentially greater performance on many algorithms that are computationally challenging on today’s computing architectures.”
Gravitational Waves: The Role of Computing in Opening a New Field of Astronomy
January 16, 2018 by
Dr. Joshua L. Willis from the California Institute of Technology and Dan Stanzione from TACC gave this talk at the Intel HPC Developer Conference. “These discoveries mark the beginning of gravitational wave astronomy, and in this talk we will highlight what we have learned and hope to learn in this new field, pointing out many of the ways in which high-throughput and high-performance computing have been essential to its progress.”
Intel’s Al Gara Presents: Technology Opportunities Like Never Before
January 11, 2018 by
Al Gara from gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of HPC and AI will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”
The AI Future is Closer than it Seems
January 6, 2018 by
Gadi Singer gave this talk at the Intel HPC Developer Conference in Denver. “Technology visionaries architecting the future of high-performance computing and artificial intelligence (AI) will share the key challenges as well as Intel’s direction. The talk will cover the adaptation of AI into HPC workflows, along their perspective architectural developments, upcoming transitions and range of solutions, technology opportunities, and the driving forces behind them.”
Video: Deep Learning for Science
January 5, 2018 by
Prabhat from NERSC and Michael F. Wehner from LBNL gave this talk at the Intel HPC Developer Conference in Denver. “Deep Learning has revolutionized the fields of computer vision, speech recognition and control systems. Can Deep Learning (DL) work for scientific problems? This talk will explore a variety of Lawrence Berkeley National Laboratory’s applications that are currently benefiting from DL.”
Moving Radiology Forward with HPC at Boston Children’s Hospital
December 12, 2017 by
In this video from the Intel HPC Developer Conference, Simon Warfield from Boston Children’s Hospital describes how radiology is being transformed with 3D and 4D MRI technology powered by AI and HPC. “A complete Diffusion Compartment Imaging study can now be completed in 16 minutes on a workstation, which means Diffusion Compartment Imaging can now be used in emergency situations, in a clinical setting, and to evaluate the efficacy of treatment. Even better, higher resolution images can be produced because the optimized code scales.”
Video: Enabling the Future of Artificial Intelligence
December 9, 2017 by
In this video from the Intel HPC Developer Conference, Andres Rodriguez describes his presentation on Enabling the Future of Artificial Intelligence. “Intel has the industry’s most comprehensive suite of hardware and software technologies that deliver broad capabilities and support diverse approaches for AI—including today’s AI applications and more complex AI tasks in the future.”
