"With the help of Intel, we were able to train, optimize, and deploy a machine learning model in less time and at a lower operational cost than available alternatives, enabling us to get to market fast with a powerful solutions that's optimized for Intel® architecture."
"oneAPI is an exciting initiative, and our Singapore AI engineering team is already using Intel’s oneAPI Beta tools for our 100 Experiments (100E) and AI Apprenticeship programs. We’re looking to the future where Intel oneAPI tools will allow us to focus on building cutting-edge AI solutions and products for our industry partners with consistent interfaces and tooling."
— Laurence Liew, director, AI Industry Innovation & Makerspace, AI Singapore Engineering Team
"Allegro is a proud participant in Intel's oneAPI Beta program. We are pleased to collaborate with Intel to drive acceleration of computer vision and perception for edge devices, IoT and other use cases, and to support [Data Parallel C++] DPC++ with heterogeneous hardware environments in real-life deployments."
— Nir Bar-Lev, CEO and cofounder, Allegro
"By integrating Intel® oneAPI Data Analytics Library (oneDAL) and Intel® AI Analytics Toolkit tools into Allegro Trains, Allegro AI offers better performance and optimized use of cloud instances."
"The future of advanced computing requires heterogeneous hardware to maximize the computing power needed for exascale-class workloads. The oneAPI industry initiative Intel is spearheading will ensure that programming across diverse compute architectures is greatly simplified."
— Rick Stevens, associate laboratory director, Computing, Environment, and Life Sciences, Argonne National Laboratory and professor of computer science, University of Chicago
"Pursuing scientific discoveries on the very fastest architectures should not be limited by closed, proprietary software programming models. Having a common open standard is the most efficient path to enabling performance portability across DoE’s next-generation supercomputers. We want to make our capabilities accessible to all researchers—using DPC++ supporting SYCL* does that."
— Kevin Harms, team lead for I/O Libraries & Benchmarks, Argonne Leadership Computing Facility (ALCF)
"Analytics Zoo and the Intel® AI Analytics Toolkit with the Intel® oneAPI Data Analytics Library (oneDAL) helped reduce end-to-end data processing time and improved our prediction model’s accuracy significantly for AsiaInfo 5G network intelligence including customer satisfaction analysis, power saving for 5G base station and user location analysis."
— Duozhi Zhu, general manager of 5G Network product R&D department, AsiaInfo Technologies Limited
"Ben-Gurion University is pleased to take part in Intel’s oneAPI Beta. We believe a unified and open programming model is imperative for helping us more efficiently build advanced software solutions on diverse architectures in our AI research. This enables students, developers and researchers to learn how to build advanced software and scale it to a variety of data center-size accelerators for tackling tough problems in AI, analytics, physics, computational chemistry and many other fields."
— Professor Lior Rokach, Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev
"Using Intel technology, we’re now able to render more than 10 billion images in 16 weeks…by working with Intel on the oneAPI Rendering Toolkit, we’ve been able develop proof of concepts on cost-efficient methods for creation rendered images and user experiences for the future."
“The Intel® oneAPI Data Analytics Library (oneDAL) is central to our machine learning platform that is used for supervised object labelling in biological image analysis. After switching to oneDAL SVM, we found it to give superior speed on a low-end CPU compared to ThunderSVM on an NVIDIA* GeForce GTX 1080. Another key to our work with oneDAL is the sheer number of different ML, processing, and modeling methods in one library. oneDAL essentially has all the batteries integrated, while offering good to great performance in everything we have tried so far.”
— Mario Emmenlauer, founder and CEO, BioDataAnalysis GmbH
"Some application codes which have historically been implemented on CPUs or GPUs actually run more efficiently on FPGAs. Until now, porting these applications to FPGAs has been a significant investment requiring expert hardware programmers. oneAPI is a welcome, bold initiative that introduces a unified software programming model capable of supporting Intel® Stratix® 10 and Agilex™ FPGA accelerators. Fundamentally, oneAPI opens up the compelling benefits of FPGAs to customers who are software-oriented."
—Craig Petrie, vice president of marketing, BittWare – a Molex company
"With a smooth learning curve from C++, minor code divergence, and a common codebase, the leading-edge Intel® oneAPI technology reduces the barriers of programming on different architectures. This allows maximum flexibility to harness all the computational capacity of HPC clusters."
— Khaled Elamrawi, president, Brightskies Inc.
"With strong commitment and continuous support from Intel, Brightskies was able to fully utilize the Intel® oneAPI capabilities. In addition, the expected future enhancements promise a significant leap in the performance of seismic imaging and velocity model building techniques.”
"The University of Cambridge Research Computing Service supports world-leading research in science, technology, and medicine where we see the need for large-scale data-driven discovery platforms with converged capability for simulation, data analytics, and AI. If these computation discovery platforms are to advance in step with the ambitions of the science projects that drive them, we will need ever more energy-efficient systems that rely increasingly on heterogeneous compute elements to help solve the world’s biggest scientific challenges. The promise of oneAPI to deliver a single programming environment across multiple compute architectures is a vital tool to unlock the promise of heterogeneous computing. Here science communities can leverage investments in code development across multihardware platforms helping advance performance gains from different hardware targets and also making future hardware targets more accessible."
— Paul Calleja, director of Research Computing Service, Cambridge University
"As a long-standing partner of Intel, Canonical is excited by oneAPI’s vision of a cross-industry, open, standards-based unified programming model. Modern enterprise and cloud data centers increasingly incorporate domain-specific accelerators, and oneAPI is the logical next step that enables ecosystem adoption of cross-architecture programming. Developers can leverage oneAPI’s cross-architecture interface to optimize application performance across the spectrum of supported accelerators, while the libraries for AI, ML, analytics, and high-performance computing will help reduce time to market for enterprises."
— Dean Henricksmeyer, VP Cloud Products Engineering, Canonical
"Intel’s oneAPI initiative addresses the ever-present challenge of porting code to new hardware targets for the developer community. Long-term, the initiative will help meet the demands of converged computing and unify the development experience for heterogeneous architectures while promoting code reuse. This will speed adoption of new architectures and accelerate the convergence of [high-performance computing] HPC and AI. With [the Centre for Development of Advanced Computing] C-DAC at the forefront of addressing India’s HPC and AI technology and application demands, we welcome this approach and look forward to applying it in our organization."
"Scientists at the CERN Large Hadron Collider (LHC) project are working towards new scientific discoveries that will require them to analyze unprecedented data volumes on the most powerful HPC systems worldwide. The oneAPI concept of a unified programming model, built on open industry standard specifications, will allow for a seamless software development process for utilising heterogeneous processing hardware infrastructures. As an early participant in Intel’s Beta programme, we are very interested in the prospects oneAPI is offering for the future of software development in our field."
— Dr. Markus Elsing, group leader, CERN ATLAS Data Processing Group
"One of the major problems facing developers today is disparate programming environments and little code re-use opportunities across different types of hardware. A single programming environment that could render code without sacrificing performance across multiple hardware types is a difficult, yet important challenge. Intel oneAPI appears to be a significant step in the right direction, promising code portability without compromising the ability to tune performance for CPUs and accelerators, and making hardware transitions considerably less risky and error prone. We are therefore considering oneAPI for high energy physics (HEP) workloads."
"We are actively working on oneAPI as the unification of offload programming models, such as the Data Parallel C++ (DPC++) and OpenMP*, will increase our productivity. It will reduce our production and maintenance costs, while maintaining a very good level of production performance."
— Jean-Yves Blanc, IT chief architect, Subsurface Imaging IT Strategy, CGG
"We do everything we can to maximize performance from every core in our processor system…The [Intel] Embree team [is] great to work with… as they really try to put in things that make our lives easier as developers, as well as our customers. When they heard of memory requirement needs being high on displacement, they produced a new displaced quad primitive that we put into Corona. The result: we got up to a 90% reduction in memory††, which meant that the Corona users could now use displacement almost for free, really enrich their scenes without increasing their RAM."†
— Phil Miller, vice president of product management, Chaos Group
"Cineca* is enthusiastic about the work Intel is undertaking with the oneAPI software stack, which supports open specifications for a single cross-architecture development model. Building on that work, Cineca is investing in community codes like Quantum Espresso to enable it for future exascale solutions on multiple types of architectures."
— Carlo Cavazzoni, head of HPC solutions and architectures, Cineca
"Codeplay Software is a world pioneer in enabling acceleration technologies used in AI, HPC, and automotive. Codeplay has been heavily involved in the definition of SYCL* and helped to grow the ecosystem, providing evaluation platforms, resources, and workshops. With oneAPI building on SYCL, Intel gains all the benefits of an open-standards-based ecosystem, while enhancing with extensions to embrace features and performance available to modern C++ developers."
- Andrew Richards, founder and CEO, Codeplay Software
"On the recently released Modo 14.1, our customers are reporting amazing rendering performance with Intel’s Embree ray tracing library and Open Image Denoise that previously would have only been available through high-end GPUs. This really packs a one-two punch to those costly render times…that all our users can appreciate."
— Shane Griffith, director of product digital design, Foundry
"A unified programming model like Intel’s oneAPI can go a long way in accelerating the hardware and software ecosystems. We especially welcome how Intel is driving this as an open initiative and look forward to working closely with them to increase adoption in a collaborative manner."
— Dani Pinkovich, algorithm group manager, GE Healthcare
“We have been using Intel® Parallel Studio XE for years. It is exciting to see that Intel is building a comprehensive and powerful ecosystem with Intel® oneAPI Base Toolkit and Intel® oneAPI HPC Toolkit, and we are going to migrate our whole development environment to oneAPI. It unifies the programming language on different platforms and will definitely simplify the development progress and downgrade the developing difficulty."
"We're excited to collaborate with Intel on oneAPI, which delivers a single programming model that can address our customers’ production needs across compute and memory intensive workloads, at speed and scale across various types of architecture and accelerators. oneAPI will enable GigaSpaces'* customers to deploy end-to-end machine learning and deep learning pipelines from training and validation to the inference and adaptive learning stages."
— Yoav Einav, vice president of product, GigaSpaces
"Collaborating with Intel and using the Intel oneAPI HPC Toolkit has been instrumental in helping our customer engineers understand in depth our customers' HPC workloads and performance on GCP instances. We recommend using Intel MPI for best performance, and tools such as VTune Profiler and Advisor to help better understand performance optimizations and how to best migrate your workloads to the cloud."
"Having an open, unified programming model for cross-architectural software development will be highly beneficial for future research and for developing cutting-edge scientific applications, especially in areas such as high performance computing, data analytics, and AI and machine learning, among others. As a university computing centre that values open standards, open exchange, and cooperation, we are happy to support to this effort."
— Prof. Dr. Vincent Heuveline, CIO of Heidelberg University and managing director of the Heidelberg University Computing Centre (URZ)
"We are approaching the exascale era, which is defined by data growth and converged HPC, AI, and analytics workloads to unlock greater value, discovery, and accelerate innovation. Customers are requiring development tools to address varying and data-intensive workloads running on complex, diverse architectures. By continuing our long-standing partnership with Intel and supporting oneAPI, our customers are gaining tools to optimize applications and speed market delivery through unified programming and simplified software development across a range of HPE technologies, including compute solutions such as CPUs, GPUs, FPGAs, and AI accelerators."
— Peter Ungaro, senior vice president and general manager, HPC and AI, HPE
"We are working on developing scalable algorithms for diverse parallel computing architectures. The standards-based open oneAPI specification will simplify development complexity by enabling one software abstraction across heterogeneous architectures, while allowing hardware-specific tuning for optimal performance. We have started exploring the Intel® oneAPI Toolkit Beta, and are confident that the oneAPI programming model will mature and become a standard."
— Professor Sashikumaar Ganesan, associate professor and chair, Department of Computational and Data Sciences, Indian Institute of Science
"The oneAPI initiative to unify the developer experience across diverse architectures will address the need of the hour for AI, especially in the scientific community where new applications are being developed using the best-suited heterogeneous hardware choices. As an institution focused on scientific research, we look forward to engaging with Intel on oneAPI to evaluate how it can help our AI and [high-performance computing] HPC researchers drive faster innovation by harnessing the capabilities of a range of modern hardware architectures today and in the future through simplified programming interfaces."
— Goldi Misra, chief technology officer, IISER Pune, India
"We eagerly look forward to the oneAPI initiative, and the effort to build a platform-inclusive programming approach that will help domain experts improve utilization across a variety of available hardware, as well as other emerging architectures in the future."
— Dr. Manish Agarwal, Computer Services Centre, IIT Delhi
"We’re excited to be part of the oneAPI Beta evaluation to test the benefits of a unified software programming model across multiple types of hardware and accelerators. This project will help us explore diverse computing architectures for our AI research using a single development environment to optimize workloads and deploy more easily across a variety of hardware platforms."
— Rajat Subhra Chakraborty, PhD, associate professor, Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, West Bengal, India
"IIT supports the oneAPI concept for a single programming strategy that works across many types of architecture, as it will further extend our AI research conducted by our research scholars and masters students on different platforms. We are happy to participate in Intel’s oneAPI Beta evaluation and look forward to a fruitful research collaboration together."
— Dr. Durga Toshniwal, professor and researcher, Department of Computer Science and Engineering and head of the Centre for Transportation Systems, Indian Institute of Technology Roorkee
"We’re excited to be working closely with Intel through their oneAPI tool Beta program. The vision of having a single unified programming model is a revolutionary approach that could fundamentally change how organizations deploy their workloads across a diverse set of accelerators and processors."
— Scott Tease, general manager, HPC & AI, Lenovo Data Center Group
"Complex workloads today demand more efficient development strategies to deploy them across many types of architecture. Megh Computing is delighted to see oneAPI as an open project with a single programming approach that works across different processors and accelerators. We are pleased to collaborate with Intel and the ecosystem on oneAPI, and excited to test the model across the Intel® FPGA Programmable Acceleration Cards, CPUs, and future discrete GPUs in our early projects with the goal to ultimately take them to market."
"In [high-performance computing] HPC, different hardware vendors require proprietary programming models which slows down developer productivity. MEGWARE Computer is proud to support Intel’s vision of a unified programming model for developing applications across a variety of hardware. With oneAPI, HPC developers can focus their cycles on addressing large computational problems efficiently rather than coding for disparate hardware environments."
— Axel Auweter, chief technology officer (CTO), MEGWARE GmbH
“Intel and Mercenaries Engineering are partnering to achieve fast-paced 3D production rendering powered by innovative technology. Guerilla Render / Guerilla Station integrate Intel® Open Image Denoise, a CPU-based open, high-performance, easy-to-use denoising filter solution. The technology is part of the Intel® Rendering Framework that makes use of artificial intelligence to remove noise and significantly reduce the rendering times of production-quality images. Guerilla Station and Guerilla Render is a production-proven look development, assembly, lighting and rendering solution designed for the animation and VFX industries. Used on a wide range of productions, from full CG to hybrid and VFX, from feature films to series, Guerilla is the state of the art software, easy to use and to deploy in pipelines, and gives all the flexibility needed by productions, with no compromise on performances.”
"The industry needs a programming model where developers can take advantage of an array of innovative hardware architectures. The goal of oneAPI is to provide increased choice of hardware vendors, processor architectures, and faster support of next-generation accelerators. Microsoft has been using oneAPI elements across Intel hardware offerings as part of its initiatives and supports the open standards-based specification. We are excited to support our customers with choice and accelerate the growth of AI and machine learning."
"LNCC is participating in Intel’s oneAPI Beta and welcomes the open approach from Intel to drive industry innovation more rapidly in the heterogeneous computing for field of high-performance computing (HPC). We are pleased to collaborate with Intel and contribute to the HPC community with our inputs to this new and open programming model being designed to support a diverse mix of accelerators."
— Wagner Vieira Leo, Coordinator of IT and Communications, LNCC
"Based on our current experience using Intel® software, having oneAPI as a unified software stack that works across several hardware solutions is a great concept. Given today’s programming challenges deploying solutions on different platforms, oneAPI seems to be a perfect match to streamline development efficiency."
— Ishai Tal, head of Platform and Cloud Architecture, Philips Algotec
"To manage the rapid growth of data and scale infrastructure efficiently, customers are adopting heterogeneous platforms. Our solution is built on such a platform [that uniquely leverages] FPGAs and CPUs. The oneAPI programming model will enable more efficient development resulting in faster time to market, and [will] ultimately help us meet our customers’ needs quickly. We look forward to working with Intel and other ecosystem partners to bring more innovative solutions to market supporting different hardware architectures using this set of common programming APIs."
“We are integrating Samsung’s image processing technology, semiconductors, ergonomic mechanics and… AI technology into our ultrasound systems for efficient and confident diagnosis. One tool…to accelerate for pursuing this effort more efficiently and with flexibility is Intel’s oneAPI solution. Samsung Medison is working on a medical imaging proof of concept using oneAPI to write one source code implementation for performance acceleration on different kinds of hardware... The Intel DPC++ compatibility tool made it easy to port our existing code to DPC++ and Intel’s training… and technical resources helped us use Intel’s VTune Profiler to analyze code performance and further enhance it to run optimally on our products. We look forward to our continued collaboration with Intel as using the oneAPI solution will allow us to respond quickly to new requests from our healthcare professionals.”
— Won-Chul Bang, PhD, vice president and head of product strategy, Samsung Medison
"SAP* welcomes Intel’s strategy to offer a unified programming model (oneAPI) based on an open specification, which is designed to provide a higher abstraction for parallel language support (in DPC++) to seamlessly program current and future heterogeneous architectures. Based on a programming model [that's] familiar to developers (C++), DPC++ has the potential to enable the vast majority of the SAP HANA* C++ developers to efficiently get full performance out of diverse hardware platforms running in-memory databases like SAP HANA."
— Dirk Basenach, head of database, SAP HANA and Analytics, SAP
"With today’s data management challenges, the industry needs a unified solution for native programming of CPUs and accelerators for efficient cross-architecture development. The oneAPI initiative with its open specification and industry standards will do much to push an ecosystem-wide solution forward. SAS* and Intel have a rich history to drive innovation in the market. We are pleased to work with Intel to evaluate oneAPI and its Beta tools, [and deliver] breakthrough innovation for our customers."
— Bryan Harris, senior vice president of R&D Engineering, SAS
"With strong commitment and continuous support from Intel® Software team, SberBank got up to 8x‡‡ cost-performance improvements of inference workload on Intel® Xeon® Scalable Processors. This was achieved with use of Intel® Distribution of OpenVINO™ toolkit powered by Intel oneAPI. We’re looking forward to the future where Intel® oneAPI tools will help us to further enhance Sber ecosystem AI solutions."
"Heterogeneous programming for multiple platforms (CPUs, GPUs, FPGAs, and AI accelerators) is a challenge for us and also for the industry. SENAI-CIMATEC is glad to collaborate with Intel on the oneAPI Beta program and look forward to providing feedback on this open, unified software stack targeted to simplify programming across different compute engines for a variety of [high-performance computing] HPC workloads."
"As the leader of the GROMACS development team (one of the most widely used [high-performance computing] HPC codes in the world for molecular simulations) at Stockholm University and KTH, I’m delighted to strongly endorse Data Parallel C++, a cross-architecture development language, based on the first specification and road map. We think it's outstanding to finally see a strong C++ enabled accelerator development environment, as well as the strong commitment to an open project and industry specifications. Furthermore, the aim of contributing parallel and accelerator-enabled functionality as part of future C++ standards is just as important, since this will be a revolution for portability."
— Erik Lindahl, biophysics professor, GROMACS development team, Stockholm University and KTH
"SUSE* is the most customer-centric open source company in the world, and that’s why we look forward to the oneAPI initiative. Its goal of delivering a single multi-architecture programming environment based on an open specification and industry standards will benefit enterprise users globally. SUSE anticipates ongoing collaboration with Intel around this initiative as well as others, in order to help ease software development and deployment for our joint customer base."
"As workloads and available hardware choices diversify, software developers want to choose hardware that addresses unique requirements of every workload without adding complexity to their software workstreams. We’re excited to work with Intel on the oneAPI initiative, a new and open programming model that aims to reduce that complexity for our developers."
— Ariel Pisetzky, vice president, Information Technology and Cyber, Taboola*
"Tech Mahindra continues to build its strategic partnership with Intel. We are pleased to collaborate on the open project, oneAPI, which promises to truly usher in an era of heterogeneous computing. With our large global customer base (including Fortune 500 companies), we are poised to unlock new opportunities through oneAPI in the industries using diverse workloads. Use of Intel® FPGA Programmable Acceleration Cards, Intel® GPUs, and Intel® CPUs will bring in additional benefits and drive growth to our customers. We are excited with this game-changing moment and happy to be part of this journey!"
— Pritam Parvatkar, senior vice president and global head, Strategic Technology Business, Tech Mahindra
"We welcome how Intel is driving oneAPI as an open industry initiative to foster hardware and software ecosystem innovation and adoption. We look forward to participating in the initiative and are evaluating Intel oneAPI tools for our cross-architecture programming needs. This initiative represents an excellent opportunity to create a new unified experience for our developer community through Tencent Cloud."
— Zhang Wenjie, general manager, AI Platform and IoT Products, Tencent Cloud
"With the growth of AI, machine learning, and data-centric applications, the industry needs a programming model that allows developers to take advantage of rapid innovation in processor architectures. TensorFlow supports the oneAPI industry initiative and its standards-based open specification. oneAPI complements TensorFlow’s modular design and provides increased choice of hardware vendor and processor architecture, and faster support of next-generation accelerators. TensorFlow uses oneAPI today on Xeon processors and we look forward to using oneAPI to run on future Intel architectures."
"The Intel® DPC++ Compatibility Tool's interoperability with Microsoft Visual Studio* IDE helped to seamlessly migrate CUDA code to DPC++. The Intel® oneAPI DPC++ Compiler, Intel® Integrated Performance Primitives (IPP), the Intel® oneAPI Math Kernel Library (oneMKL), and the Intel® VTune™ Profiler from the Intel® oneAPI Base Toolkit and Intel® oneAPI IoT Toolkit are all critical to our product line."
— Tian Wang, R&D manager, United Imaging Healthcare & Magnetic Resonance Software
"We compared the TBB+OpenCL versus the oneTBB+oneAPI implementations of our heterogeneous schedulers, observing that oneAPI versions result in up to five times less programming effort and only incur in 3% – 8% of overhead." †
— Dr. Rafael Asenjo, Universidad De Malaga
University College London
"The Application Performance Snapshot feature of Intel® VTune™ Profiler helped us analyze HemeLB running at 96K MPI ranks on SuperMUC-NG of the Leibniz Supercomputing Centre. It was straightforward and effective in its operation and analysis output.”
"With the advancement of multicore processor and GPU architectures and their realization in next-generation products comes the key need for tools that can identify areas for tuning for maximum performance. The TAU project at the University of Oregon is pleased to announce support for the Intel Xeon and Xe platforms in the TAU Performance System*.”
— Sameer Shende, director of the Performance Research Lab, NIC, University of Oregon
Xilinx Research Labs
"We are pleased to see the SYCL standard used as the foundation of oneAPI. This drives the collaboration on open-source implementations including up-streaming to Clang/LLVM and motivates further community input to the standards body at Khronos SYCL."
— Ronan Keryell, editor for the Khronos SYCL standard, and principal software engineer, Xilinx Research Labs
"Increasing the performance of diverse demanding workloads on a wide range of platforms with CPUs and accelerators (GPUs and FPGAs) while maintaining the energy envelope is critical for larger compute systems like the [North-German Supercomputing Alliance] HLRN installation at the Zuse Institute Berlin. We are participating in the Intel oneAPI Beta program to evaluate solutions leveraging a single cross-architecture programming model that will enable performance, increase productivity, and reduce costs. With oneAPI, our [high-performance computing] HPC and data analytics community has a path to a near-future software ecosystem that can more easily support heterogeneous platforms built on CPUs and accelerators."
— Dr. Thomas Steinke, head of the Supercomputing Department, Zuse Institute Berlin
"The Intel® DPC++ Compatibility Tool greatly supported our porting efforts to create a single source DPC++ version of the tsunami simulation EasyWave and to shift away from individual source codes for CPUs (OpenMP) and GPUs (CUDA). The obtained code from the automatic conversion provided a solid ground and required only minor adjustments to get a working DPC++ version of the application. We also appreciate the promising performance characteristics of easyWave with the early, pre-product oneAPI releases."
— Dr. Steffen Christgau, research associate, Zuse Institute Berlin
These organizations support the oneAPI initiative concept for a single, unified programming model for cross-architecture development. It does not indicate any agreement to purchase or use Intel’s products.
†Intel does not control or audit third-party data. You should consult other sources to evaluate accuracy.
††Up to 90% Memory Reduction for Displacement
Testing conducted by Chaos Group with Intel® Embree
Software: Corona Renderer 5 with Intel® Embree
‘Up to 90% memory reduction’ calculated using Corona Renderer 5 with regular displacement grids per triangle of 154 bytes versus Corona Renderer 5 with Intel® Embree, which has a displacement capability grid of 12 bytes per grid per triangle. (12/154 = 7.8% usage or >90% memory reduction).
Recreation of the performance numbers can be accomplished using Corona Renderer 5 and Intel Embree.
For more information, visit the Corona Renderer Blog.
††† Intel configuration: CPU and GPU on Intel® DevCloud: Intel® i9-9900K + DG1 (NDA) and Intel® Xeon® E-2176G + P630 (Gen9.5), optimized by Intel® oneAPI Tools Beta 8.