DAOSĮnabled by Intel® Optane™ persistent memory, Distributed Asynchronous Object Storage (DAOS) offers dramatic improvements to storage I/O to accelerate HPC, AI, analytics, and cloud projects. Intel® Optane™ Solid State Drives (Intel® Optane™ SSDs) provide the storage flexibility, stability, and efficiency needed to help prevent HPC data center bottlenecks and enable improved performance.
FOTONICA SIGNIFICATO SOFTWARE
Intel® HPC storage and memory solutions are optimized for non-volatile memory (NVM) technologies, HPC software ecosystems, and other HPC architecture components.
The evolution of HPC storage and memory requirements has driven the need for latency reduction. Intel offers the software and tools that developers need to streamline and accelerate programming efforts for HPC applications, including AI, analytics, and big data software. Intel’s array of HPC processors and accelerators, including Intel® Xeon® Scalable processors and FPGAs, support HPC workloads in configurations from workstations to supercomputers. With this broad range of products and technologies, Intel delivers a standards-based approach for many common HPC workloads through the Intel® HPC Platform Specification. Intel also offers an array of software and developer tools to support performance optimizations that take advantage of Intel® processors, accelerators, and other powerful components. Intel® hardware provides a solid foundation for agile, scalable HPC solutions.
FOTONICA SIGNIFICATO FULL
Intel delivers a comprehensive technology portfolio to help developers unlock the full potential of high performance computing. HPC platform software, libraries, optimized frameworks for big data and deep learning, and other software tools help to improve the design and effectiveness of HPC clusters. Hardware for HPC usually includes high-performance CPUs, fabric, memory and storage, and networking components, as well as accelerators for specialized HPC workloads. The most productive high performance computing systems are designed around a combination of advanced HPC hardware and software products. HPC systems also contribute to advances in precision medicine, financial risk assessment, fraud detection, computational fluid dynamics, and other areas. Today, research labs and businesses rely on HPC for simulation and modeling in diverse applications, including autonomous driving, product design and manufacturing, weather forecasting, seismic data analysis, and energy production.
Scientists and engineers can run HPC workloads on their on-premises infrastructure, or they can scale up and out with cloud-based resources that do not require large capital outlays. And with the advent of highly scalable, high-performance processors and high-speed, high-capacity memory, storage, and networking, HPC technologies have become more accessible. HPC is gaining acceptance in academia and in the enterprise as demand grows to handle massive data sets and advanced applications. When multiple systems are configured to act as one, the resulting HPC clusters enable applications to scale out performance by spreading computation across more nodes in parallel. Parallel processing within a single system can offer powerful performance gains, but applications can scale up only within the limits of that system’s capabilities. HPC applications take advantage of hardware and software architectures that spread computation across resources, typically on a single server.
Modern supercomputers are large-scale HPC clusters made up of CPUs, accelerators, high-performance communication fabric, and sophisticated memory and storage, all working together across nodes to prevent bottlenecks and deliver the best performance. Some of the first and most prominent supercomputers were developed by Cray and IBM, which are now Intel® Data Center Builders partners. HPC clusters can compute extreme-scale simulations, AI inferencing, and data analyses that may not be feasible on a single system. While HPC can be run on a single node, its real power comes from connecting multiple HPC nodes into a cluster or supercomputer with parallel data processing capabilities.
0 kommentar(er)
