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High-Performance Computing Benchmarks
High-Performance Computing Benchmarks
Intel® Xeon® processor 5000 sequence
The breakthrough performance, energy efficiency and reliability of the new Intel® Xeon® processor-based systems make them the best choice for virtualization and business critical applications, enabling IT to become more efficient and responsive.
Computer Aided Engineering
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Unified Finite Element analysis using Abaqus*
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Benchmark description
The Abaqus Unified FEA product suite offers powerful and complete solutions for both routine and sophisticated engineering problems covering a vast spectrum of industrial applications. Abaqus/Standard benchmarks include linear statics, nonlinear statics, and natural frequency extraction workloads. Abaqus/Explicit benchmarks include workloads modeling high-speed dynamic impact events and quasi-static events with complicated contact conditions.
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Multiphysics Finite Element analysis using ANSYS*
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Benchmark description
ANSYS 12* software is a comprehensive multiphysics tool combining structural, thermal, fluids, acoustic and electromagnetic simulation capabilities in a single engineering software solution. It's comprehensive range of physical models can be applied to simulation-based product development in a broad range of industries and applications. The "shared" benchmark is a suite of 8 workloads and the "distributed" benchmark is a suite of 7 workloads and they cover a representative set of structural analysis solvers and analysis types.
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Computational Fluid Dynamics analysis using Fluent* (single node)
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Benchmark description
Fluent 12 is commercial computational fluid dynamics (CFD) package and is a product of Ansys Inc. Fluent 12 has broad physical modeling capabilities well suited to a variety of industrial applications. Fluent provides a set of standardized benchmarks covering a range of fluid flow simulations and software features. Six individual benchmarks are shown as a measure of single node performance. "Overall" performance is the geometric mean of the six individual benchmarks.
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Computational Fluid Dynamics analysis using Fluent* (cluster aircraft_2m)
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Benchmark description
Fluent 12 is commercial computational fluid dynamics (CFD) package and is a product of Ansys Inc. Fluent 12 has broad physical modeling capabilities well suited to a variety of industrial applications. Fluent provides a set of standardized benchmarks covering a range of fluid flow simulations and software features. Aircraft_2m is one test case in the Fluent 12.0 benchmark suite. Results were shown for increasing number of cluster nodes from one to eight.
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Computational Fluid Dynamics analysis using Fluent* (cluster sedan_4m)
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Benchmark description
Fluent 12 is commercial computational fluid dynamics (CFD) package and is a product of Ansys Inc. Fluent 12 has broad physical modeling capabilities well suited to a variety of industrial applications. Fluent provides a set of standardized benchmarks covering a range of fluid flow simulations and software features. Sedan_4m is one test case in the Fluent 12.0 benchmark suite. Results were shown for increasing number of cluster nodes from one to eight.
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Computational Fluid Dynamics analysis using Fluent* (cluster truck_14m)
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Benchmark description
Fluent 12 is commercial computational fluid dynamics (CFD) package and is a product of Ansys Inc. Fluent 12 has broad physical modeling capabilities well suited to a variety of industrial applications. Fluent provides a set of standardized benchmarks covering a range of fluid flow simulations and software features. Truck_14m is one test case in the Fluent 12.0 benchmark suite. Results were shown for increasing number of cluster nodes from one to eight.
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Crash Simulation analysis using LS-DYNA* (single node)
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Benchmark description
LS-DYNA is a general purpose transient dynamic finite element program capable of simulating complex real world problems, for use in various industries, including Automobile Design, Aerospace, Manufacturing, and Bioengineering. Benchmark data sets and cluster performance quotations are available from the independent web site www.topcrunch.org. The www.topcrunch.org benchmarks associated with structural dynamics (LS-DYNA) address domain decomposition, message passing, load balancing, and dynamic memory allocation in automotive crash safety analysis. The chart above shows single node benchmark performance comparisons of automotive crash simulation for single vehicle barrier crash, 3 vehicle rear end crash, and 2 vehicle head-on crash (neon_refined_revised, 3 vehicle collision, car2car).
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Crash Simulation analysis using LS-DYNA* (cluster - 3 vehicle collision)
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Benchmark description
LS-DYNA is a general purpose transient dynamic finite element program capable of simulating complex real world problems, for use in various industries, including Automobile Design, Aerospace, Manufacturing, and Bioengineering. Benchmark data sets and cluster performance quotations are available from the independent web site www.topcrunch.org. The www.topcrunch.org benchmarks associated with structural dynamics (LS-DYNA) address domain decomposition, message passing, load balancing, and dynamic memory allocation in automotive crash safety analysis. The chart above shows cluster benchmark performance comparisons of automotive crash simulation for 3 vehicle rear end crash (3 vehicle collision). The simulation involves a minivan crashing into rear of a compact car, which in turn crashes into rear of a mid-size car. Results were shown for increasing number of cluster nodes from one to eight.
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Crash Simulation analysis using LS-DYNA* (cluster - car2car)
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Benchmark description
LS-DYNA is a general purpose transient dynamic finite element program capable of simulating complex real world problems, for use in various industries, including Automobile Design, Aerospace, Manufacturing, and Bioengineering. Benchmark data sets and cluster performance quotations are available from the independent web site www.topcrunch.org. The www.topcrunch.org benchmarks associated with structural dynamics (LS-DYNA) address domain decomposition, message passing, load balancing, and dynamic memory allocation in automotive crash safety analysis. The chart above shows cluster benchmark performance comparisons of automotive crash simulation for the head-on crash of two minivans (Car2Car). Results were shown for increasing number of cluster nodes from one to eight.
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Computational Fluid Dynamics analysis using Star-CD* (single node)
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Benchmark description
STAR-CD* provides a platform for industrial CFD simulation. Going beyond just a CFD code, the latest release, STAR-CD V4, introduces the capability to perform structural analysis calculations using a methodology based upon its CFD solver technology, a comprehensive solution for flow, thermal and stress simulation has been available in a single general-purpose commercial finite-volume code. STAR-CD V4 is fully polyhedra enabled and by using the latest polyhedra-solver technology, STAR-CD V4 delivers significant benefits in speed, robustness and usability.
Workloads for Star-CD (A-class, C-class):
The key workloads for Star-CD benchmark are A-Class and C-Class. The A-class (resp. C-class) workloads simulate the turbulent, steady-state flow around an A-Class (resp. C-class) Mercedes* car. Both workloads use the Conjugate Gradient Solver. A-class uses a trimmed hexahedral mesh made of 6 million cells while C-class uses a polyhedral mesh of 10 million cells.
Energy
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Reservoir Simulation using Schlumberger Eclipse*
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Benchmark description
Eclipse* has been the leading commercial reservoir simulation software for over 25 years because of its breadth of capabilities, parallel scalability, utility computing, and unmatched platform coverage. Eclipse Version 2008.1 continues to deliver accurate, high performance solutions for all of today's complex reservoir systems. The two workloads shown demonstrate Eclipse capabilities in handling black oil and compositional simulations. Eclipse 100* is a one million cell black-oil model, and Eclipse 300* is a two million cell compositional model.
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Reservoir Simulation using CMG* IMEX*
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Benchmark description
IMEX, CMG's full featured Black Oil simulator, models the flow of three phase fluids in gas, gas-water, oil-water, and oil-water-gas reservoirs. It models in one, two, or three dimensions, including complex heterogeneous faulted structures. It also models primary, secondary, and pseudo-miscible and polymer injection processes in naturally or hydraulically fractured reservoirs. The workload is a Black-oil Water Flood simulation with CMG IMEX app. Simulated 545K Cells with 50 wells simulated for 15 years.
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Reservoir Simulation using Landmark Nexus*
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Benchmark description
Landmark's Nexus* is a major reservoir simulation software that enables fully implicit, fully coupled surface-to-subsurface simulation at unprecedented speed and accuracy. SPE10* is an industry-standard reservoir model derived from an actual oil reservoir in the North Sea.
Parallel Systems
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OpenMP* and shared-memory systems performance using SPEC OMP2001*
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Benchmark description
SPEC OMP* (OpenMP Benchmark Suite) is a SPEC* (www.spec.org) benchmark suite for evaluating performance based on OpenMP (http://www.openmp.org) applications. The focus is to deliver systems performance to real scientific and engineering applications.
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Performance of compute intensive applications using MPI* with SPEC MPI2007*
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Benchmark description
SPEC MPI2007 is a SPEC (www.spec.org) benchmark suite for evaluating MPI-parallel, floating point, compute intensive performance across a wide range of cluster and SMP hardware. SPEC MPI2007 focuses on performance of compute intensive applications using the Message-Passing Interface (MPI).
Bandwidth
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Memory bandwidth using Stream Triad*
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Benchmark description
The Stream Triad* benchmark measures sustainable memory bandwidth in megabytes per second by utilizing four computational loops on a user-definable input array size. These loops are Copy, Scale, Add, and Triad. The selected array size must be at least 4x the sum of all the last level processor caches. This forces the CPU to bypass the caches and go out to the memory subsystem for each transaction allowing for a more representative measure of memory bandwidth. Typically Stream Triad result is quoted as a measure of bandwidth even though all four measures are very close. Metric is megabytes per second.
New Intel® Xeon® processor 5500 series based servers
The Intel® Xeon® processor 5500 series can dramatically advance the efficiency of IT infrastructure and provide unmatched business capabilities. This groundbreaking intelligent server technology features:
- Intelligent Performance that automatically optimizes performance to fit business and application requirements.
- Automated Energy Efficiency that scales energy usage to the workload to achieve optimal performance/watt.
- Flexible virtualization that offers best-in-class performance and manageability in virtualized environments to strengthen IT infrastructure and reduce costs.
New standard high-volume business servers, high-performance computing (HPC) systems, and workstations built with this new generation of Intel® Microarchitecture (codenamed Nehalem) offer an unprecedented opportunity to dramatically advance the efficiency of IT infrastructure and provide unmatched business capabilities.
back to topPerformance tests and ratings are measured using specific computer systems and/or components and reflect the approximate performance of Intel products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components they are considering purchasing. For more information on performance tests and on the performance of Intel products, visit www.intel.com/performance/index.htm or call (U.S.) 1-800-628-8686 or 1-916-356-3104. Relative performance is calculated by assigning a baseline value of 1.0 to one benchmark result, and then dividing the actual benchmark result for the baseline platform into each of the specific benchmark results of each of the other platforms, and assigning them a relative performance number that correlates with the performance improvements reported.
SPEC, SPECint2006, SPECfp2006, SPECjbb, SPECWeb are trademarks of the Standard Performance Evaluation Corporation. See http://www.spec.org for more information. TPC-C, TPC-H, TPC-E are trademarks of the Transaction Processing Council. See http://www.tpc.org for more information.
Intel® Virtualization Technology requires a computer system with an enabled Intel® processor, BIOS, virtual machine monitor (VMM) and, for some uses, certain platform software enabled for it. Functionality, performance or other benefits will vary depending on hardware and software configurations and may require a BIOS update. Software applications may not be compatible with all operating systems. Please check with your application vendor.
Intel® Hyper-Threading Technology (Intel® HT Technology) requires a computer system with a processor supporting Intel® HT Technology and an Intel® HT Technology-enabled chipset, BIOS, and operating system. Performance will vary depending on the specific hardware and software you use. For more information including details on which processors support Intel® HT Technology, see www.intel.com/products/ht/hyperthreading_more.htm.
Intel® Turbo Boost technology requires a Platform with a processor with Intel Turbo Boost technology capability. Intel Turbo Boost Technology performance varies depending on hardware, software and overall system configuration. Check with your platform manufacturer on whether your system delivers Intel Turbo Boost Technology. For more information, see www.intel.com/technology/turboboost/.
Intel® processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families. See www.intel.com/products/processor_number/ for details.
Intel® products are not intended for use in medical, life saving, life sustaining, critical control or safety systems, or in nuclear facility applications. All dates and products specified are for planning purposes only and are subject to change without notice.
Intel does not control or audit the design or implementation of third party benchmarks or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmarks are reported and confirm whether the referenced benchmarks are accurate and reflect performance of systems available for purchase.
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