Performance

Server performance

Intel® Itanium® processor 9000 sequence

Intel® Xeon® processor 7000 sequence

Intel® Xeon® processor 5000 sequence

Intel® Xeon® processor 3000 sequence


High-Performance Computing

Intel® Xeon® processor 3000 sequence

Intel® Xeon® processor

Built with technologies designed to deliver 24/7 dependability to help businesses improve productivity and performance that automatically adapts to changing workloads at an entry-level price point/

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Server computational chemistry performance

 

PS/day normalized as 1.0 to Intel® Xeon® processor 3085

  Intel® Xeon® processor 3085 (3.00GHz, 4MB L2, 1333MHz FSB) Intel® Xeon® processor X3230 (2.66GHz, 8MB L2, 1066MHz FSB) Intel® Xeon® processor X3380 (3.16GHz, 12MB L2, 1333MHz FSB, 45nm) Intel® Xeon® processor X3470 (2.93GHz, 8MB L3, 45nm)
Amber* 9 1.0 1.6 2.7 3.3

Benchmark description for Amber*

A package of molecular simulation programs. The workload measures the number of problems solved (PS) per day using eight standard molecular dynamic simulations. See http://amber.ch.ic.ac.uk/amber9.bench1.html for more information.

 

Server computational fluid dynamics performance

 

PS/day normalized as 1.0 to Intel® Xeon® processor X3380

  Intel® Xeon® processor X3380 (3.16GHz, 12MB L2, 1333MHz FSB, 45nm) Intel® Xeon® processor X3470 (2.93GHz, 8MB L3, 45nm)
Fluent* 12.0.16 of 12 workloads geomean 1.00 1.45

Benchmark description for Fluent*

Fluent is a commercial engineering application used to model computational fluid dynamics. The benchmark consists of 9 standard workloads organized into small, medium and large models. These comparisons use all but the largest of the models which does not fit into the 8GB of memory available on the platforms. The Rating, the default Fluent metric, was used in calculating the ratio of the platforms by taking a geometric mean of the 8 workload ratings measured.

 

Crash simulation analysis using LS-Dyna*

 

Relative performance
Higher is better

  Intel® Xeon® processor 3085 (3.00GHz, 4MB L2, 1333MHz FSB) Intel® Xeon® processor X3230 (2.66GHz, 8MB L2, 1066MHz FSB) Intel® Xeon® processor X3380 (3.16GHz, 12MB L2, 1333MHz FSB, 45nm) Intel® Xeon® processor X3470 (2.93GHz, 8MB L3, 45nm)
LSDyna* mpp971 1.0 1.3 1.7 3.0

Benchmark description for LS-DYNA*

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).

 

Computational Fluid Dynamics Analysis using Star-CD*

 

Relative Performance
Higher is better

  Intel® Xeon® processor X3380 (3.16GHz, 12MB L2, 1333MHz FSB, 45nm) Intel® Xeon® processor X3470 (2.93GHz, 8MB L3, 45nm)
LSDyna* mpp971 1.0 1.79

Benchmark description for Star-CD*

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.

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