Academic Centers of Excellence
oneAPI Centers of Excellence
These centers deliver key software code optimizations and new implementations, port strategic applications to oneAPI, and develop curriculum to further ecosystem adoption of the oneAPI open, standards-based, cross-architecture programming.
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.
Center for Extreme Data Management Analysis and Visualization (CEDMAV), University of Utah
Professor Valerio Pascucci is the Inaugural John R. Parks Endowed Chair, the founding director of CEDMAV, a faculty member of the Scientific Computing and Imaging Institute (SCI), and a professor of the School of Computing at the University of Utah.
Peter Lindstrom is a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (LLNL). His research focuses on data compression, scientific visualization, and high-performance computing (HPC) domains.
This center in collaboration with LLNL focuses on developing portable, scalable, and performant data compression techniques by accelerating zfp using oneAPI.
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.
School of Software and Microelectronics of Peking University
Yuejian Fang is an associate professor at Peking University School of Software and Microelectronics. He conducts research on privacy computing, AI, and blockchain. The center at School of Software and Microelectronics of Peking University will participate in the oneAPI industry initiative through teaching in class, developing, and broadly sharing new local language curriculum to enable and expand oneAPI adoption in PRC universities.
Science and Technology Facilities Council (STFC) - UK Research and Innovation
Dr. Barbara Montanari is head of the Computational Science and Engineering Division in STFC Scientific Computing, and director of the Computational Science Centre for Research Communities, CoSeC. Dr. Charles Moulinec and Dr. Stephen Longshaw are principal computational scientists at STFC. The center of excellence at STFC will focus on optimizing two key open source HPC software codes: Multiscale Universal Interface (MUI); and a high-fidelity Computational Fluid Dynamics code called Xcompact3d.
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.
Technion University - Israel Institute of Technology
Professor Hagit Attiya is an Israeli computer scientist who holds the Harry W. Labov and Charlotte Ullman Labov Academic Chair of Computer Science at Technion.
Dr. Gal Oren is a visiting scientist in the Computer Science department at Technion and a senior researcher in the Scientific Computing Center at the Negev Nuclear Research Center.
Professor Danny Hendler is a faculty member in the department of Computer Science at Ben-Gurion University.
This center will facilitate classroom teaching in contemporary scientific computing using the power of CPUs, GPUs, and other accelerators with oneAPI. Dr. Gal Oren and Professor Hagit Attiya from the Technion Computer Science Department will work in collaboration with Professor Danny Hendler from the Computer Science Department of Ben-Gurion University in teaching oneAPI in classrooms at their universities.
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 California San Diego (UCSD)
Andreas Goetz heads the research group in the High-Performance Computational Chemistry group at the San Diego Supercomputer Center (SDSC) at the UCSD. He develops and applies molecular simulation methods and software building on quantum mechanics, statistical mechanics, molecular dynamics, and machine learning. This center focuses on high-performance molecular dynamics simulations to be enabled in Assisted Model Building with Energy Refinement (AMBER) using oneAPI.
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
Professor Hartwig Anzt is focused on oneAPI adoption through HPC and high-end visualization projects supporting heterogeneous architectures, research, and curriculum. Professor Anzt 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.
University of Tennessee at Knoxville
Professor Huang’s team provides high-end visualization as a service that can be instantly available and universally accessible. They 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).
Zuse Institute Berlin (ZIB)
Thomas Steinke is the head of Supercomputing department at ZIB. This center of excellence is working on the migration and optimization of the Vienna Ab initio Simulation Package (VASP) code, one of the key workloads for material science studies worldwide for faster atomistic simulations of materials on CPUs and GPUs using oneAPI.