Technical Compute with 2nd Gen Intel® Xeon® Scalable Processors
Bring your business’s best ideas to life by transforming big data and real-time analytics into new business opportunities while ensuring the reliability and uptime of the most business-critical services with the 2nd Gen Intel® Xeon® Scalable processors.
Technical computing is the application of the mathematical and computational principles of scientific computing to solve practical problems of industrial interest. The distinction between technical computing and scientific computing is similar to the distinction between high performance computing (HPC) and high-performance technical computing. Technical computing may involve the use of large-scale high-performance systems.
All performance measurements are accurate as of April 2, 2019.1 2
Integer Throughput with SPECrate2017*_int_base
This CPU-intensive benchmark suite, stressing a system's processor, memory subsystem, and compiler. It provides a measurement of compute-intensive performance across a wide practical range of hardware using workloads developed from real user applications. Rate results measure the throughput of multiple tasks. The metrics are based on a geometric mean of normalized ratios. SPECrate2017*_int_base is for measuring and comparing compute-intensive integer performance across 10 throughput workloads or tasks (one uses Fortran, five use C, and 4 use C++).
Floating Point Throughput with SPECrate2017*_fp_base
This CPU-intensive benchmark suite, stressing a system's processor, memory subsystem, and compiler. It provides a comparative measure of compute-intensive performance across a wide practical range of hardware using workloads developed from real user applications. Rate results measure the throughput of multiple tasks. The metrics are based on a geometric mean of normalized ratios. SPECrate2017*_fp_base is for measuring and comparing compute-intensive floating point performance across 13 workloads or tasks written in Fortran, C, and C++.
Intel® Distribution for LINPACK* Benchmark
The Intel® Distribution for LINPACK* Benchmark is based on modifications and additions to High-Performance LINPACK (HPL) 2.2 from Innovative Computing Laboratories (ICL) at the University of Tennessee, Knoxville. This benchmark measures the amount of time it takes to factor and solve a random dense system of linear equations (Ax=b) in real*8 precision, converts that time into a performance rate, and tests the results for accuracy. The benchmark uses random number generation and full row pivoting to ensure the accuracy of the results.
免責事項
パフォーマンス実績は構成情報に記載された日に実施したテストに基づくものであり、公開中のセキュリティー・アップデートがすべて適用されているとは限りません。詳細については、公開されている構成情報を参照してください。絶対的なセキュリティーを提供できる製品やコンポーネントはありません。
性能は、使用状況、構成、その他の要因によって異なります。詳細については、www.Intel.co.jp/PerformanceIndex を参照してください。