HPC Ecosystem Developer Resources
Developers at industry-leading independent software vendors (ISV), research institutions (RI/HPC), system integrators (SI), original equipment manufacturers (OEM), and enterprise end users use Intel® tools and framework optimizations to build their software platforms, systems, and applications.
The HPC portfolio from Intel helps deliver multiarchitecture accelerated compute performance and productivity at scale while making it seamless for developers and data scientists to accelerate their software development from the edge to the cloud.
Alibaba Cloud* and Intel collaborated to enable a performance boost of the Large-scale Atomic/Molecular Massively Parallel Simulator (LAAMPS) workload by 45.2 percent using Intel tools on the Elastic High-Performance Computing (E-HPC) platform.
Quanta Cloud Technology (QCT)* DevCloud users can profile and optimize their code to its full potential on heterogeneous cross-architecture converged HPC and AI platforms.
Using Intel® VTune™ Profiler, QCT improved SYCL* enabled Polybench-ACC benchmark performance by 38% compared to the OpenMP* baseline implementation.
Working together, Intel and Ansys* are ensuring full optimization of Ansys engineering simulation software on the latest computing platforms.
Optimizations to Ansys Fluent* include implementation of the Intel® oneAPI Math Kernel Library (oneMKL) sparse LDU smoother, which provides acceleration up to 15% compared to the Ansys Fluent native incomplete lower/upper (ILU) smoother.
Optimize speed and total cost of ownership for Ansys LS-DYNA* and Ansys Mechanical* using software development tools from Intel and Intel® Xeon® Scalable processors.
CERN used Intel tools for significant performance improvements using multiarchitecture in CPU and GPU systems when processing data from the ATLAS detector at the Large Hadron Collider (LHC).
Centre for Development of Advanced Computing (C-DAC), a premiere research and development (R&D) organization in India, collaborated with Intel to migrate their seismic modeling application from CUDA* to SYCL* for an accelerated, multivendor-supported solution.
Dive Solutions*, a member of the Intel Startup Program, optimizes its cloud-native computational fluid dynamics simulation software for cutting-edge hardware resulting in greater cost efficiency for its customers, faster simulation results, and an improved user experience.
This open source C++ library for numerical linear algebra on multi- and many-core systems can use the hardware capabilities of Intel's latest GPUs when ported to the SYCL ecosystem through Intel tools.
This Taiwan-based neurotechnology startup used Intel tools to enhance its Brain Waves AI system, which is designed for mental healthcare applications related to psychiatric conditions and diseases.
The Indian Institute of Technology (IIT) collaborated with Intel to overcome vendor hardware lock-in and gained performance by migrating a computational fluid dynamics (CFD) Poisson solver equation that governs several physical processes (including heat transfer and diffusion) from CUDA to SYCL.
Lisbon-based INESC-ID took advantage of Intel tools to facilitate and accelerate the discovery of genotype-to-phenotype associations, which can have real-world use cases in personalized medicine and pharmacogenetics, including epistasis detection.
Isima*, a member of Intel® Liftoff for startups, tackles the challenges of big data with a real-time hyperconverged analytics platform, powered by oneAPI for optimized price and performance in the cloud.
Old Dominion University (ODU)*, in collaboration with Intel, migrated the code of two numerical integration algorithms (PAGANI and m-CUBES) from CUDA to SYCL, gaining multivendor support and performance close to the CUDA-optimized code.
Tencent Cloud* used Intel tools to improve the performance of TencentDB, an application based on the open source MySQL for high-performance distributed data storage in various use cases that include internet, e-commerce, and finance.
The Scientific Computing Institute at the University of Utah (UoU)* collaborated with Intel to implement a SYCL-portable color-blending algorithm for accurate ecological data collection conducted by the National Ecology Observatory Network's Airborne Observation Platforms (NEON AOPs).