Academic Centers of Excellence
oneAPI Centers of Excellence
These centers are universities and labs that deliver open-source codes enabled on oneAPI, an open-standards-based programming model. They have the opportunity to influence the industry direction and expand the oneAPI products and specifications.
oneAPI Centers of Excellence have access to Intel public relations (PR) and events to promote research papers, speakerships, and enhance leadership within the industry and academia.
Argonne National Laboratory
Kalyan Kumaran's team collaborates with oneAPI groups to improve support for and the performance of various components critical to a range of science workloads for high-performance computing (HPC), data, and AI. The team's efforts—including the preparation of performant compilers, libraries, and AI frameworks for next-generation GPUs, as well as hardware testing, and application and profiling-tool development—will enhance the science productivity of these workloads on Aurora, the first exascale supercomputer of Argonne National Laboratory.
Bristol University
Dr. Tom Deakin and Professor Simon McIntosh-Smith are focused on enhancing the SYCL* ecosystem. They showcase gold-standard approaches to achieving performance portability in practice and sharing code samples and specific actions for achieving portability and performance.
Centre for Development of Advanced Computing (C-DAC)
Sanjay Wandhekar and Ashish Kuvelkar focus on HPC and AI engagements with academic and research and development communities in India. They support cross-platform, heterogeneous programming to solve real-world problems.
Charles University
Alexander Wilkie is focused on using the Intel® oneAPI Rendering Toolkit to help innovate sky model lighting simulations and integrate 3D and AI technologies for multiple usages. The center will also extend its clear sky model and other visualization technologies to oneAPI to support accelerator architectures, including upcoming Xe Architecture from Intel.
Heidelberg University / Heidelberg University Computing Center (URZ)
Askel Alpay and Dr. Vincent Heuveline are focused on adding advanced Data Parallel C++ (DPC++) capabilities to hipSYCL to further cross-architecture computing.
Institute of Computing Technology, Chinese Academy of Sciences
Guangming Tan conducts research on parallel programming and algorithms, domain-specific architecture, and bioinformatics. Based on the open oneAPI specification, his team will extend the oneAPI unified programming framework to support China's local accelerators and use oneAPI to develop full-stack, open-source software. He has more than 70 papers published in his research field in international journals and conferences such as IEEE Transactions.
Lobachevsky State University of Nizhni Novgorod
Iosif Meerov and Arkady Gonoskov are focused on porting the High-Intensity Collisions and Interactions (Hi-Chi) application to oneAPI to speed research on complex classical and quantum systems.
Northern Illinois University
Michael Papka and Joe Insley are focused on using oneAPI to accelerate and simplify complex data through visual transformations. The center will integrate oneAPI programming and the Intel oneAPI Rendering Toolkit into its toolset to enable students’ research and sharpen their skills for writing single-source heterogeneous code to target a variety of architectures (CPUs and accelerators). Professors will also incorporate oneAPI into their courses.
Oak Ridge National Laboratory
Principle investigator Dr. Jin Zheming is a research scientist and an expert on high-level synthesis and heterogeneous parallel computing. His research will focus on direct CUDA* porting.
Old Dominion University
Mohammad Zubair (with NASA* support) optimizes unstructured-grid computational fluid dynamics (CFD) kernels and develops efficient implementations on Intel® CPUs and GPUs with Xe Architecture to help solve some of the nation’s most complex aerodynamic problems.
Soda Research Team at Inria*
Olivier Grisel is a software engineer at the Inria* Saclay Centre. His Soda research team is developing mathematical and computational methods to understand health and society with data. He is also a contributor and maintainer of the scikit-learn* project since 2010.
Stockholm University / KTH Royal Institute of Technology
Erik Lindahl is focused on porting the GROMACS molecular dynamics package over to oneAPI and sharing his experience with the broader ecosystem.
Technical University of Darmstadt
Andreas Koch and Leonardo Solis-Vasquez are focused on accelerating data parallel computing and simulation software used in medical and pharmaceutical research, powered by oneAPI open cross-architecture programming.
University of California at Berkeley
Kurt Keutzer is focusing on producing energy-efficient algorithms and implementations for deep learning’s most computationally intensive workloads. The algorithms will be used in training recommendation systems and natural-language understanding systems to help address important AI challenges. The center will use the oneAPI Deep Neural Network Library (oneDNN) and the oneAPI Collective Communications Library (oneCCL) to optimize this work, and oneAPI programming will significantly ease the development of portable implementations across multiple types of architectures.
University of California at Davis
Kwan-Liu Ma is focused on using oneAPI and the Intel oneAPI Rendering Toolkit to deliver high-performance, high-fidelity data visualization and analysis applications that scale across Intel® CPUs and GPUs, including Xe Architecture from Intel.
University of Cambridge - Stephen Hawking Centre of Theoretical Cosmology
Paul Shellard is focused on advancing cosmological research, open-source code development, and in-situ compute and visualization, as well as teaching computational and visualization coding techniques. Through using the Intel® oneAPI DPC++/C++ Compiler and Intel oneAPI Rendering Toolkit, the Centre will optimize large-scale cosmology workflows that help drive new discoveries.
University of Durham
Tobias Weinzierl conducts research on task-based programming using oneAPI development and championing oneAPI training. The center will extend the hyperbolic PDE engine ExaHyPE into a OneExaHyPE code that scales across a wide variety of GPU-accelerated machines. The algorithmic and methodological insights will be beneficial for many other simulation codes. For training, the center will organize oneAPI workshops and tutorials that will be open to Durham students and faculty, and available to colleagues in the UK and beyond.
University of Illinois at Urbana-Champaign
Emad Tajkhorshid and David Hardy are focused on using the heterogeneous programming model to accelerate computing for biomolecular research using NAMD.
University of Stuttgart (VISUS)
Guido Reina is focused on cross-architecture in-situ visualization across CPUs, GPUs, and other accelerators. He will use oneAPI programming and the Intel oneAPI Rendering Toolkit for advanced ray tracing and parallelization capabilities to evolve the scalable, in-situ capable back end of the visualization framework MegaMol, which helps study and understand physical processes in fields like thermodynamics and porous media research.
University of Tennessee at Knoxville
Jian Huang and Hartwig Anzt are focused on oneAPI adoption through HPC and high-end visualization projects supporting heterogeneous architectures, research, and curriculum. For HPC, Professor Antz and his team will port the open-source HPC Ginkgo library to oneAPI to take advantage of the current and future GPUs built on Xe Architecture from Intel.
For visualization, Professor Huang’s team will provide high-end visualization as a service that can be instantly available and universally accessible. They will use oneAPI technologies such as advanced ray tracing or rendering, and data and media processing to accelerate computing across multiarchitectures.
University of Texas – Texas Advanced Computing Center (TACC)
Paul Navratil is focused on powering extreme-scale remote visual analysis using oneAPI and the Intel oneAPI Rendering Toolkit. TACC will use oneAPI single-source programming, Intel®-optimized ray tracing libraries, plus Intel CPU and Xe Architecture GPU hardware for scientific simulations that employ algorithms and techniques to deliver new science through fast in-situ visual analysis. This will enable flexible, high-fidelity, high-performance interactive analysis across TACC computing platforms without having to implement device-specific routines for each system.
University of Utah - Scientific Computing and Imaging (SCI) oneAPI Center
Chris Johnson is focused on improving large-scale simulations, data analytics, and visualization for scientific workflows. To do this, he will advance research and development, teach the latest visual computing innovations in ray tracing and rendering, and use oneAPI to deliver high-performance compute across heterogeneous architectures (CPUs, GPUs including the upcoming Xe Architecture from Intel, and other accelerators).